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Recently, I attended an online webinar, hosted by SAS. The topic was, five essential data management practices for analytics. But it was their explanation of the two types of analytics I found most interesting. The presenter Lisa Dodson, Manager, Data Management SAS, Americas Technology Practice, commenced with clarifying the term analytics. Lisa suggested, that it was an all in compassing and broadly used term. For the purpose of the presentation Lisa would put the term analytics into two groups.
The first was descriptive analytics, this refers to analytics of historical data. How did we performed now and in the past? How well did we do last year, or last quarter, more importantly, why? But as the questions become more predictive in nature we then move in to the Advance Analytics.
In advance analytics, we ask questions in a more predictive manner. Like, how will we do next month, or year? This is applying the results of the past to be able to predict the trend into the future. From these results, we would be in a position to determine our next course of action, and how we would address the indicators identified. Descriptive analytics is designed to look at the past results, identifying trends. Advance analytics looks to move that data forward in to the future, projecting the trends and providing potential insights.
Lisa indicated, “That frankly there is a paradigm shift that is happening from a data strategy perspective. As organisations move from a descriptive in to advance analytics”. Lisa indicated, close to 85% of her conversations with clients, generally focused around the business and IT. People using advance analytics would ask IT, “I need data to answer some problem questions on customer churn. I need to understand which customers will leave, so I need the customer data?”, next IT asks the simple question, “Can you be a little bit more specific please?” the response being, “No, I can’t be specific as yet”. The conversation stops as both sides await a response. IT is wondering how they can supply the data if they don’t know what the user needs. The analyst is wondering what the issue with their request is.
Paradigm Change
The presentation then moved into the paradigm change. That change being in the thought process of advance analytics people and traditional IT. The paradigm shift is moving IT from descriptive analytics, the historical process of data analytics to advance analytics.
In descriptive analytics, IT worked with the data. There processes followed a defined pattern that of design, extract, transform, load, and validate then refresh. This was then repeated from the extract layer as many times as required. The results were then used to produce static reports that had been predefined using a template during the design phase. The business would then refresh for each month or quarterly update of that report. This type of analytics is about the destination of the data. When IT works on this model, a large portion of time is spent on design. IT understand the requirements of the data, they know the reports to publish and where. IT is able to do this as they have an understanding of the organisation, its historical data in nature, usually reporting after the fact.
Once the model is built much of the time is spent extracting data and transforming it. They may summaries the data or aggregation. They place that data within the defined structure produced in the design phase, at the same time validating the data as it comes across. Once the data is in place, all that is needed is to refresh the data as required, and the delivery of the results as reports.
Once in place, change is minimal. Occasionally, new sources or updates may be required. The process is fairly rigid and well governed, the reason being the design phase has driven the environment. Ultimately it is about where the data is going, and what we do to that data to obtain our reports.
Advance Analytics
Things start to change with advance analytics. The terminology used is similar, extracting, loading, transforming and data quality. In processing the data for advance analytics, it is more about the data and its journey.
When working with data for advance analytics, 80% of a work is preparing the data, 20% is actually doing the specialist work. Lisa indicated that she had often heard SAS chief, Dr Jim Goodnight often say, “The analytics is the easy part, it is always the data that is the hard part”. The reason why, is the preparation of the data, cleansing, validating and structuring. Like every great chef, the preparation of the ingredients is the important part to delivering great outcomes.
The quality of the model, is influenced and determined by the preparation that the statisticians carries out. This preparation is what separates a good modeler from an exceptional one. The trouble is that 80% of the work, is work that a statisticians should not be doing. A good analogy is in hiring a top classed surgeon for a hospital. You pay a high price for that surgeon and their specialty. You don't want them spending time grabbing their own tools, scheduling the OR, or cleaning it up. You want them to focus on their expertise. From a data strategy perspective, how do we reduce some of the 80%, maximising the specialised skills of the data scientist, where they will give us the greatest return on our investment.
This paradigm shift, is bringing the drive for business to be analytically driven. Their understanding of this paradigm shift, from a data mining perspective is important. We need to bridge the gap between the advance analytics section of the business and IT. IT needs to understand the requirements when dealing with advance analytics and the management of that data. When we talk about data management for analytics we are talking about all analytics, both descriptive and advance. In support of decisions that scale, or open source integration, or streaming analytics, or approachable analytics, these are all of the themes that SAS have in regards to the solutions they are able to provide.
In understanding where you sit in the spectrum of data analytics, you are then able to appreciate the true shift or benefits that can be seen by an organisation with analytics, both descriptive and advanced. First you need the data, next you need the ability to explore that data. Once you discover which models will work, how do you incorporate those decisions and insights into what you do on a day to day bases?


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The data-driven governance paradigm emphasises using data and analytics to inform decision-making and improve public services. In today’s increasingly digital world, the abundance of data presents public agencies with an unprecedented opportunity to leverage information and insights to improve citizen outcomes.
Public agencies can acquire a deeper understanding of societal challenges, identify trends and develop evidence-based policies and interventions that address the needs and aspirations of the public by harnessing the power of data.
One of the primary advantages of data-driven governance is its capacity to facilitate well-informed decision-making. Traditional approaches to governance frequently rely on intuition or limited data, which can result in suboptimal outcomes.
Data-driven governance enables public agencies to enhance the delivery of public services. By analysing data on citizen preferences, utilisation patterns and satisfaction levels, agencies can tailor their services to meet the unique requirements of distinct population segments.
However, adopting a data-driven governance strategy presents obstacles that must be overcome. Providing data privacy and security is one of the major obstacles. Protecting sensitive citizen data from unauthorised access or misuse requires public agencies to establish robust protocols and safeguards. Data collection, storage and sharing should be governed by precise rules and regulations that ensure transparency and accountability.
The availability and accessibility of high-quality data is another obstacle. Government agencies frequently must negotiate fragmented data sources, inconsistent data formats and silos. Data interoperability and integration initiatives are essential for overcoming these obstacles and establishing a comprehensive and dependable data infrastructure that facilitates data-driven decision-making.
To realise the maximum potential of data-driven governance, agencies must invest in developing data analytics capabilities and fostering a data-driven culture. This includes training employees in data literacy and analytics, establishing partnerships with academia and the private sector and promoting a culture of evidence-based decision-making at all organisational levels.
The OpenGov Breakfast Insight held on 24 May 2023 at the Shangri-La The Fort Manila, aimed to provide the latest data integration and analytics benefits for the Philippine public sector.
Opening Remarks



Commencing the session, Mohit Sagar, the CEO & Editor-in-Chief of OpenGov Asia, acknowledges the paramount significance of data in the modern era, surpassing conventional assets like oil and gold. With the exponential advancement of technology, the world now generates vast quantities of data every second.
Companies and organisations are well aware that strategic utilisation of data can lead to substantial competitive advantages, enriched consumer experiences, and improved operational efficiency. They know the potential of harnessing data to gain a competitive edge and deliver exceptional value to their customers. Such information provides deep insights into consumer behaviour, market trends and decision-making processes.
With the relentless progress of technology, the inevitability of data proliferation becomes increasingly apparent. The prevalence of smartphones, Internet of Things (IoT) devices and digital platforms have resulted in an unprecedented amount of data being generated.
“With data-driven approaches rapidly gaining importance across industries, the ability to accumulate, analyse, and leverage data has emerged as a critical determinant of success in the contemporary era,” Mohit explains. “Consequently, data has become the most sought-after and protected asset in today’s economy.”
Through the integration of data strategies, organisations can effectively minimise redundancy, dismantle data silos and increase data quality and consistency. This enables businesses to derive valuable insights, identify trends and connections, and ultimately make informed and improved decisions.
Data integration promotes cooperation and efficiency, facilitating seamless data interchange among multiple stakeholders, systems and departments. Moreover, when policies align and complement each other, it becomes easier to foster such collaborations and reduce the wastage of resources and time.
A sound data strategy establishes a solid foundation for advanced analytics, machine learning (ML) and artificial intelligence (AI) initiatives, where accurate and integrated data play a vital role in modelling and achieving high prediction accuracy.
“By leveraging integrated data, organisations can unlock the potential of cutting-edge technologies, maximise the value of their data assets, drive innovation and gain a competitive edge,” Mohit reiterates.
Virtualisation technology has driven a paradigm shift in the scaling of services and storage in the digital environment. By decoupling physical resources from the underlying hardware, virtualisation enables the efficient allocation and utilisation of processing power, memory and storage resources. This technology empowers organisations to optimise their resource utilisation, leading to enhanced efficiency and flexibility in managing their digital infrastructure.
Using virtualisation, businesses can dynamically expand their infrastructure as needed, scaling services and storage space to meet the demands of expanding data needs. It offers flexibility and agility without being constrained by physical hardware, enabling businesses to respond swiftly to shifting needs.
“Companies can meet the needs of a data-driven world by successfully managing data expansion, enhancing scalability, and optimising resource utilisation via virtualisation,” Mohit observes.
Once access and authorisation protocols are established within policies, individuals across different agencies can work more efficiently and expediently. These protocols create a streamlined process for granting appropriate access to relevant data and systems, ensuring that only authorised personnel can retrieve the information they need in a timely manner.
When data is handled and used correctly, it has the potential to greatly enhance the effectiveness and efficiency of the work and duties at hand. The proper handling and utilisation of data by the right people enable the identification of areas for improvement, streamlining processes and allocating resources more effectively.
By analysing data, organisations gain a deeper understanding and valuable insights by uncovering patterns and trends. Through sophisticated data analysis techniques, they can extract meaningful information and identify correlations that might not be apparent at first glance.
“By leveraging data-driven insights, staff can make informed decisions, improve service delivery and result in better outcomes for citizens and a higher level of public trust and satisfaction,” Mohit concludes.
Welcome Address


According to Armstrong Mejilla, Senior Director, APJ Presales at Qlik, the phrase “Data Everywhere, Data Everything” succinctly captures the pervasive nature of data in today’s world. It highlights the imperative to address the challenges and seize the opportunities arising from the abundance of data. Furthermore, it underscores the critical significance of responsible and effective data management and utilisation to harness its full potential.
The ubiquitous presence and extensive utilisation of data in today’s digital world emphasise the integral role it plays in people’s lives, permeating every facet of personal and professional activities. Data has become an inseparable component, shaping and influencing various aspects of daily life, from personal decision-making to professional endeavours. Its omnipresence underscores the significant impact and reliance on data in today’s interconnected society.
“Data continues to grow at astounding rates, creating exciting opportunities for public sector organisations to improve citizen services, enhance financial performance and better meet their missions,” Armstrong acknowledges. “But when it comes to generating true value from business intelligence and data analytics investments, the differentiator often comes down to culture.”
Many businesses have made attempts, but often faced failures, in implementing digital transformation projects aimed at fostering a culture of innovation. However, it is crucial for businesses to shift their focus towards cultivating the concept of ‘digital business agility.’
Rather than solely aiming for transformation, organisations should prioritise agility, which allows them to swiftly adapt and respond to the evolving digital landscape. By embracing digital business agility, businesses can foster a mindset that embraces change, experimentation and continuous improvement, enabling them to thrive in the dynamic and competitive digital realm.
The three primary pillars of digital business agility – heightened awareness, informed decision-making, and swift execution – allows organisation’s to respond swiftly and effectively to emerging threats and seize new market opportunities before their competitors even notice them.
“These pillars are not technologies,” Armstrong clarifies. “ They are, rather, capabilities and a mindset facilitated by a proper understanding and implementation of technology.”
Hyperawareness refers to a company’s ability to detect and monitor changes in its business environment. The business environment encompasses both internal and external factors that impact the company’s opportunities and risks. It signifies the heightened capacity of a company to stay vigilant and cognizant of the dynamic factors that can shape its success or pose potential threats.
Armstrong emphasises that companies with hyperawareness are less susceptible to being taken by surprise and are difficult to disrupt because they can detect their vulnerabilities and modify their models and processes accordingly.
For instance, hyperaware companies have a deep understanding of when and why their customers experience dissatisfaction. They prioritise identifying the true value that customers attribute to their products, rather than fixating on the delivery methods within the existing value chain.
Similarly, when a company is acutely aware of its competitive landscape, it has a deep understanding of the strengths and vulnerabilities of its traditional competitors. Furthermore, it recognises the potential impact that new business lines or acquisitions may have on its position in the market. In addition, it can anticipate which non-traditional competitors could threaten their market position and the disruptive strategies they could employ.
Informed decision-making is a company’s ability to make optimal decisions in every situation, Armstrong believes. To excel at informed decision-making, businesses must develop sophisticated data analytics capabilities that augment human discretion.
“To achieve this, it is crucial to analyse, scale, package and disseminate the data derived from the company’s hyperawareness throughout the entire organisation,” Armstrong elaborates.” This ensures that relevant and valuable insights are effectively shared and utilised across the various departments and stakeholders within the company.”
Fast execution refers to a company’s capacity to carry out its plans efficiently and swiftly. “Companies must be informed of every step of the transition to have the flexibility to adjust. Again, data plays a role,” reiterates Armstrong.
Qlik has made significant investments to help the federal and regional sector agencies. Qlik Cloud Government offers customers a modern data and analytics platform that is specifically designed to cater to the following needs and requirements:
- Speed: Qlik Cloud Government accelerates data and dev-ops with a platform that streamlines the entire analytics pipeline from – data ingestion and management to insight generation and action.
- Security: Ensuring customers feel safe and protected, Qlik Cloud Government has been built with security designed at its core following industry-leading security and compliance controls.
- Scale: It is beyond critical that an analytics platform can scale and grow in stride with an organisation. Qlik Cloud Government offers scalability across infrastructure, administration, security, and delivery.
Governments now have the opportunity to leverage technology and harness their data in ways that were previously unexplored. This enables them to gain unprecedented insights, leading to improved outcomes and more efficient practices. By effectively utilising their data, governments can drive positive changes and enhance their overall operational effectiveness.
According to Armstrong, data holds boundless possibilities and has the potential to truly transform the world. The example of the US Environmental Protection Agency (EPA) is an illustration of this. The EPA required agency-wide visibility and self-service analytics for their field analysts, but their existing legacy analytics system (Business Objects) proved to be slow and inflexible.
As a result, the EPA decided to implement Qlik Sense, enabling them to analyse environmental health and safety data across various regions. They successfully distributed Qlik Sense to over 200 analysts nationwide, empowering them with the necessary tools and capabilities to efficiently access and analyse the data.
Within 30 days of going live (before the announcement), they had 100 users and currently, they have reached 200 users and continue to grow. Analysts across the country, in every region, are utilising the platform to analyse environmental health and safety information specific to their geography, such as pollution and water quality in Region 3.
Additionally, Furthermore, Qlik Cloud offers the analytics data pipeline through its Active Intelligence tool. This comprehensive solution provides companies with all the necessary data integration and analytics services to transform raw data into valuable information that aids in decision-making.
In addition to the core analytics services, Qlik Cloud also offers a variety of foundational services to support companies in their data-driven journey. It is the sole cloud platform specifically designed for Active Intelligence. Its purpose is to assist organisations in transitioning from passive toolsets to active systems that provide real-time information and compels action.
With this open SaaS platform, companies get cloud-agnostic and hybrid setup options that give them the most freedom and choice in how and where to store and analyse data, whether in one cloud or many.
Recognising that the value of data lies in its actionable utilisation, organisations can prioritise the development of skills, infrastructure, and a proactive mindset to maximise the potential of their data assets. This involves investing in data analytics expertise, technology infrastructure, and decision-making processes that facilitate effective and timely actions based on insights derived from data.
“By fostering a culture of data-driven decision-making and enabling the necessary resources, organisations can unlock the full value of their data assets and drive meaningful outcomes,” Armstrong concludes.
In Conversation with
Data-driven governance in the Philippines entails using data and analytics to educate and guide governance policies, improve service delivery, increase transparency and promote evidence-based decision-making at all levels of government.



The Philippines can harness the potential of data to address societal concerns, drive evidence-based decision-making and improve public service delivery by embracing data-driven governance. It has the potential to lead to more efficient, effective and citizen-centred management, ultimately contributing to the country’s and its people’s development and well-being.
According to Dr Czar Jakiri Sarmiento, Chairman of the Department of Geodetic Engineering at the University of the Philippines, a potential solution to tackle technological challenges within an organisation is the implementation of centralised data management processes. This approach can achieve consistency across reporting, agencies and structures.
It is essential to consider national and local policies, such as implementing rules and regulations like the Freedom of Information. Resources should be made accessible and user-friendly, and there should be a focus on providing training to government agencies.
“When working with government agencies on research projects, sustainability and capacity-building should be considered to ensure long-term success,” says Dr Czar. “Four factors – centralised data management, policy consideration, resource accessibility and capacity-building – are crucial in addressing the challenge effectively.”
Ensuring consistency in outdoor activities in national data regions and government teams is essential, contributing to safety and accuracy. Additionally, contextual data integration is crucial, as it helps address specific problems and supports decision-making.
Data integration can improve efficiency, speed up processes and reduce costs. However, considerations such as government procurement and hiring processes should be considered, along with the capacity of employees to adapt to new technologies.
Transparency and accountability are essential, but departments must be flexible enough to adopt sustainable technologies. Collaboration with stakeholders is necessary to ensure accessibility and understanding of concepts. Building foundational knowledge is essential before expecting sustained development.
For Armstrong Mejilla, Senior Director, APJ Presales, Qlik, aligning business goals and customer preferences when identifying solutions is essential. “Showcasing successful implementations to other departments and providing guidance on replicating them can be beneficial.”



Embracing a fearless attitude towards failure and adopting technology without hesitation can drive positive behavioural changes within the organization. This includes fostering a data-driven approach and empowering leaders.
Although managing organisational change can be challenging, its profound impact on citizens is undeniable. It’s important to remember that technology plays a supporting role in the overall process, and a patient implementation strategy is key to success.
Dennis Magsajo, Head, Solutions Architects, ASEAN Emerging Markets – Worldwide Public-Sector, Amazon Web Services, acknowledges that government agencies and diversity in government are essential factors in achieving success. Collaboration between technology providers and government agencies is necessary to ensure access to essential data points.
“Finding providers who offer the necessary features and capabilities is crucial. Although specific examples may have been mentioned, further information might be needed to understand their relevance,” Dennis is convinced.
In the current governance landscape, the involvement and contribution of multiple stakeholders are essential. There is a growing emphasis on fostering collaboration among diverse agencies to enhance public services and facilitate the provision of efficient information for informed decision-making by government officials. This collaborative approach seeks to leverage the collective expertise and resources of various parties to drive improvements in governance processes and outcomes.
Closing Remarks
According to Armstrong, it is crucial to look at data as facts supported by thorough research and analysis when it comes to decision-making. “Data-driven insights form an integral part of the solution-seeking process.”
It is crucial to note that implementing technology to leverage the potential of data requires a systematic approach. Often, legacy systems present a challenge as they may not be easily readable, necessitating efforts to effectively transform and integrate them into modern systems.
Visualisation plays a vital role in decision-making as it helps comprehend complex information and facilitates informed choices. Hence, successfully integrating processes, technology and a culture that values data-driven insights is critical to effective decision-making and problem-solving.
Mohit agrees that change can be a daunting endeavour. However, recognising the inherent challenges that come with change and actively overseeing the transition allows for successful navigation and the discovery of new possibilities and opportunities.
Technology partnerships enable organisations to leverage collective strengths, drive innovation, share costs and risks, access specialised expertise, and gain a competitive advantage. “By working together, partners can achieve outcomes that may not have been possible individually, leading to mutual benefits and growth.”
“Partnerships can accelerate the development and implementation of technology-based solutions. Technology partnerships enable organisations to leverage specialised expertise that may not be available internally,” Mohit concludes. “Collaborating with technology experts grants access to cutting-edge knowledge, research capabilities, and technical skills, empowering organisations to stay at the forefront of technological advancements and drive innovation.”
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Sistem pemerintahan berbasis data sejatinya menekankan pada pemanfaatan data dan analisis terkait pembuatan keputusan dan peningkatan pelayanan publik. Dalam era perkembangan digital yang cepat, keberadaan sumber data yang cukup masif ini dapat menjadi peluang bagi lembaga pemerintahan dalam pemanfaatan informasi dan wawasan demi meningkatakan produktivitas masyarakat.
Melalui sistem tersebut, lembaga pemerintahan dapat memperoleh pemahaman mendalam terhadap permasalahan sosial dan tren. Hal ini dapat menjadi modal untuk mengembangkan kebijakan berdasarkan bukti nyata, menekankan pada aspirasi dan kebutuhan publik melalui pemanfaatan data secara maksimal.
Salah satu keunggulan pemerintahan berbasis data lainnya adalah terkait pelayanan penyediaan informasi yang valid. Sistem pemerintahan konvensional seperti sekarang ini masih bergantung pada intuisi akibat keterbatasan data, sehingga hanya akan menghasilkan informasi yang suboptimal.
Pemerintahan berbasis data juga memungkinkan lembaga pemerintahan untuk dapat memperkuat pelayanan publiknya. Melalui analisis preferensi masyarakat, pemanfaatan pola, dan tingkat kepuasan pelayanan, lembaga pemerintahan dapat menetapkan kebijakan berdasarkan segmentasi masyarakat yang terarah.
Walaupun begitu, dalam pengaplikasian sistem pemerintahan berbasis data, seringkali juga dihadang oleh tantangan ke depan. Penyediaan privasi data dan keamanan menjadi salah satu hambatan. Perlindungan privasi data masyarakat dari pihak yang tidak berkepentingan atau penyelewengan data membutuhkan perlindungan yang kuat dari lembaga pemerintahan.
Kemudahan dalam mengakses data yang berkualitas juga menjadi tantangan selanjutnya. Seringkali, lembaga pemerintahan harus menghadapi permasalahan seperti sumber data yang terfragmentasi, format data yang berbeda, dan ruang data yang terpisah.
Oleh karena itu, untuk memahami potensi sistem pemerintahan berbasis data secara maksimal, lembaga pemerintahan harus mengembangkan kemampuan analitik data dan meningkatkan kebiasaan masyarakat yang berbasis data. Hal ini dapat dilakukan dengan menyelenggarakan edukasi terkait literasi analisis data, menjalin kerja sama dengan akademisi dan pihak swasta, serta mendorong kebiasaan pengambilan keputusan berbasis data di semua sektor dan organisasi.
OpenGov Breakfast Insight yang diselenggarakan pada tanggal 24 Mei 2023 di hotel Shangri-La The Fort Manila bertujuan untuk mendiskusikan integrasi data terbarukan dan kelebihan dari analitik bagi sektor publik Filipina.
Pengantar Awal



Sesi Awal, Mohit Sagar, CEO & Pimpinan Redaksi, OpenGov Asia mengakui bahwa data menjadi sebuah komoditi utama di era digital ini. Keberadaan data melebihi sumber daya lama seperti minyak dan emas. Sebagai bukti sebuah pertumbuhan teknologi yang cepat, dunia mampu menghasilkan kuantitas data yang besar setiap detiknya.
Ia menambahkan bahwa informasi data dapat menjadi sebuah gambaran pemahaman terkait kebiasaan konsumen, tren, dan langkah pembentukan prosedur. Perusahaan dan institusi harus memperhatikan strategis dalam penggunaan data untuk dapat menghasilkan keunggulan yang kompetitif, menunjang pelayanan konsumen, dan memperkuat metode yang efisien.
Mohit menjelaskan, “dikarenakan pendekatan berbasis data mengalami peningkatan yang cukup drastis di berbagai sektor industri, kelebihan untuk mengakumulasi dan memanfaatkan data menjadi kunci utama dalam era modern ini. Data menjadi aset primadona dalam pertumbuhan ekonomi saat ini.”
Lebih jauh, ia menekankan bahwa dengan perkembangan teknologi yang terus berinovasi, data akan meningkat secara terus menerus. Berbagai institusi akan menghasilkan data dengan kuantitas yang belum pernah terjadi sebelumnya secara berkepanjangan. Hal ini disebabkan oleh penyebaran smartphone (telepon genggam pintar), Internet of Things (IoT), dan platform digital yang masif.
Dengan kelebihan tersebut, berbagai institusi dapat meminimalisir risiko kelebihan data yang berulang, menghilangkan silo data, serta meningkatkan kualitas dan konsistensi data dengan pengintegrasian. Bisnis pun dapat menerima pemahaman pasar, tren, dan keterkaitan capaian, sehingga menghasilkan keputusan-keputusan yang relevan ke depannya.
Integrasi data terus mendorong aspek kolaborasi dan efisiensi yang menghasilkan pertukaran data lebih cepat dari banyak pihak, sistem, dan departemen. Lebih jauh, hal ini dapat membangun basis sebagai standar analisis baru, machine learning (ML), dan artificial intelligence (AI), di mana ketepatan dan integrasi data merupakan hal yang penting sebagai modal prediksi yang akurat.
Mohit menekankan bahwa integrasi data memudahkan bisnis dalam memaksimalkan hasil analisis data, mendorong inovasi, dan membangun kebermanfaatan yang kompetitif saat ini. Ketika kebijakan saling komplemen satu dengan lainnya, kolaborasi antar pemerintahan juga akan menjadi sangat mudah untuk dikembangkan. Hasil dari kerja sama tersebut akan berbuah kepada peningkatan efisiensi kebijakan.
Lebih jauh, metode skala layanan dan ruang penyimpanan dalam digitalasasi telah mengalami transformasi sepenuhnya berkat teknologi virtualisasi. Mohit menekankan bahwa virtualisasi membuat kerjasama lebih mudah untuk mengalokasikan dan menggunakan kapasitas sumber penyimpanan secara efisien karena dapat memisahkan perangkat fisik yang biasa digunakan pada umumnya.
Pengaplikasian virtualisasi juga menawarkan fleksibilitas dan kemampuan beradaptasi. Melalui pengaplikasian virtualiasasi data, sebuah bisnis dapat mengembangkan infrastrukturnya secara dinamis sejauh yang dibutuhkan, serta dapat memperbesar layanan dan ruang penyimpanan untuk memenuhi tuntutan kebutuhan data yang berkembang. Hal ini tentu menjadikan bisnis mampu merespon perubahan secara cepat.
“Institusi maupun lembaga dapat memenuhi kebutuhan data dengan mengelola data secara baik, memperkuat skalabilitas, dan mengoptimalkan pemanfaatan sumber virtual,” jelas Mohit.
Setiap agensi nantinya akan bekerja lebih produktif setelah mengakses keseluruhan data. Mekanisme protokol juga akan diimplementasikan dalam kebijakan untuk memastikan bahwa izin dan akses diberikan kepada entitas yang membutuhkannya secara tepat.
Jika digunakan secara kompeten, data dapat membantu pemerintah dalam mengerjakan tugas secara efektif. Pelayanan dan kepuasan publik akan berimbas dikarenakan efisiensi dan keberhasilan kinerja yang efektif. “Pemerintah mampu mendapatkan pemahaman dari pola dan tren yang dikelola dengan maksimal dari analisis sebuah data,” tutupnya.
Salam Pembuka


Menurut Armstrong Mejilla, Senior Director, APJ Presales di Qlik, frasa “Data Everywhere, Data Everything” secara ringkas menggambarkan perluasan data yang masif saat ini. Hal ini menekankan pentingnya menghadapi tantangan dan memanfaatkan peluang yang muncul dari keberlimpahan data. Selain itu, ia juga menekankan pentingnya pengelolaan dan pemanfaatan dalam pengoptimalan potensi data secara efektif.
Kehadiran yang merata dan penggunaan data yang luas dalam dunia digital saat ini menekankan peran integral dalam kehidupan manusia. Hal ini menyebar ke setiap aspek aktivitas pribadi maupun profesional.
Data telah menjadi komponen yang tidak terpisahkan, membentuk dan memengaruhi berbagai aspek kehidupan sehari-hari, mulai dari pengambilan keputusan pribadi hingga ranah profesional. Kehadirannya yang merata menunjukkan dampak signifikan dan ketergantungan masyarakat yang dapat dengan mudah saling terhubung saat ini.
“Data terus tumbuh dengan kecepatan yang mengagumkan, menciptakan peluang menarik bagi sektor publik untuk meningkatkan layanan kepada masyarakat, meningkatkan kinerja keuangan, dan memenuhi misi mereka secara lebih,” tegas Armstrong. “Akan tetapi, ketika datang investasi dalam kecerdasan bisnis dan analitik data, faktor yang menjadi masalah seringkali terletak pada budaya dan kebiasaan.”
Banyak bisnis telah mencoba melaksanakan proyek transformasi digital yang bertujuan untuk menumbuhkan budaya inovasi, namun sering menghadapi kegagalan. Penting bagi bisnis untuk beralih fokus dan menumbuhkan konsep ‘agilitas bisnis digital’.
Alih-alih bertujuan untuk transformasi, organisasi harus memprioritaskan agilitas, yang memungkinkan mereka untuk dengan cepat beradaptasi dan merespons perkembangan lanskap digital yang terus berubah. Dengan mengadopsi agilitas bisnis digital, bisnis dapat membangun pola pikir yang menerima perubahan, percobaan, dan perbaikan berkelanjutan, memungkinkan mereka berkembang dalam dunia digital yang dinamis dan kompetitif.
Dalam melaksanakan proyek transformasi digital yang bertujuan untuk menumbuhkan budaya inovatif, banyak bisnis telah mencoba namun gagal. Maka dari itu, penting bagi bisnis untuk berfokus pada konsep ‘percepatan bisnis digital’. Hal ini termasuk kecepatan beradaptasi dan merespons perkembangan digital yang terus berubah. Melalui kegiatan percepatan bisnis digital, sebuas bisnis dapat membangun pola pikir untuk menerima perubahan, percobaan, dan perbaikan berkelanjutan, memungkinkan mereka berkembang dalam dunia digital yang dinamis dan kompetitif.
Melalui 3 pilar utama dari kelincahan bisnis digital–peningkatan kesadaran, pengambilan keputusan yang terinformasi, dan eksekusi yang cepat–memungkinkan institusi untuk merespons secara tanggap terhadap ancaman yang muncul. Dengan demikian, institusi dapat memanfaatkan peluang pasar baru.
“Hal ini bukan sepenuhnya teknologi yang bekerja,” tambahnya, “melainkan adalah pola pikir yang difasilitasi oleh pemahaman implementasi teknologi yang tepat.”
Sesi Pembicara



Pemerintahan berbasis data di Filipina melibatkan penggunaan data dan analitik untuk mendidik dan membimbing kebijakan pemerintahan, meningkatkan penyampaian layanan, meningkatkan transparansi, dan mendorong pengambilan keputusan berdasarkan bukti di semua tingkatan pemerintahan.
Filipina dapat memanfaatkan potensi data untuk mengatasi masalah-masalah sosial, mendorong pengambilan keputusan berbasis bukti, dan meningkatkan penyampaian layanan publik dengan mengadopsi pemerintahan berbasis data. Ini akan menciptakan manajemen yang lebih efisien, efektif, dan berpusat pada masyarakat. Hal ini pada akhirnya akan berkontribusi pada pembangunan dan kesejahteraan negara dan masyarakatnya.
Menurut Dr. Czar Jakiri Sarmiento, Ketua Departemen Teknik Geodesi di Universitas Filipina, solusi potensial untuk mengatasi tantangan teknologi dalam sebuah organisasi adalah dengan menerapkan proses manajemen data secara terpusat. Pendekatan ini dapat mencapai konsistensi dalam pelaporan hasil yang terstruktur.
Penting untuk mempertimbangkan kebijakan secara nasional dan lokal, seperti pelaksanaan peraturan “Kebebasan Informasi”. Sumber daya juga harus dapat diakses dengan mudah serta perlu adanya penyediaan.
“Ketika bekerja dengan lembaga pemerintah dalam proyek penelitian, keberlanjutan dan kapasitas pembangunan harus dipertimbangkan untuk memastikan keberhasilan jangka panjang,” kata Dr Czar. “Empat faktor – manajemen data terpusat, pertimbangan kebijakan, aksesibilitas sumber daya, dan pembangunan kapasitas – sangat penting dalam mengatasi tantangan secara efektif.”
Memastikan konsistensi dalam kegiatan luar ruangan di wilayah data nasional dan pemerintahan merupakan hal yang penting untuk berkontribusi pada keamanan dan akurasi. Selain itu, integrasi data secara kontekstual sangat penting, karena dapat membantu mengatasi masalah-masalah spesifik dan mendukung pengambilan keputusan.
Integrasi data dapat meningkatkan efisiensi, mempercepat proses, dan mengurangi pembiayaan. Akan tetapi, pertimbangan seperti proses pengadaan kerjasama atau pembuatan kebijakan, serta perekrutan karyawan harus dipertimbangkan bersamaan dengan kemampuan adaptasi karyawan dengan teknologi baru.
Transparansi dan akuntabilitas merupakan hal yang penting, namun departemen harus cukup fleksibel untuk mengadopsi teknologi yang berkelanjutan. Kolaborasi dengan para pemangku kepentingan sangat diperlukan untuk memastikan aksesibilitas dan pemahaman yang komprehensif terhadap konsep-konsep tersebut. Membangun pengetahuan dasar merupakan hal yang penting sebelum melakukan perkembangan berkelanjutan.



Bagi Armstrong Mejilla, selaku Senior Director, APJ Presales di Qlik, menyelaraskan tujuan bisnis dan preferensi pelanggan saat menganalisis solusi merupakan hal yang penting. Mengadopsi teknologi tanpa takut terhadap kegagalan dan keraguan dapat mendorong perubahan perilaku positif dalam organisasi. Hal ini termasuk mendorong pendekatan berbasis data dan memberdayakan para pemimpin.
Meskipun mengelola perubahan sebuah organisasi bisa menantang, namun dampaknya yang mendalam terhadap masyarakat tidak dapat dipungkiri. Penting untuk diingat bahwa teknologi memainkan peran pendukung dalam proses keseluruhan, dan strategi implementasi merupakan kunci kesuksesan.
“Menemukan penyedia yang menawarkan fitur dan kemampuan yang tepat adalah hal yang penting, meskipun contoh-contoh spesifik mungkin telah disebutkan,” tegas Dennis Magsajo selaku Kepala Arsitek Solusi, Perkembangan Pasar ASEAN – Sektor Publik Internasional, Layanan Web Amazon.
Dalam lingkup pemerintahan saat ini, keterlibatan dan kontribusi dari berbagai pemangku kepentingan menjadi hal yang utama. Pentingnya mendorong kolaborasi antarlembaga untuk meningkatkan layanan publik dan memfasilitasi penyediaan informasi adalah hal yang harus ditekankan. Pendekatan kolaboratif ini bertujuan untuk memanfaatkan keahlian dan sumber daya kolektif dari berbagai pihak untuk mendorong perbaikan dalam proses pembuatan kebijakan secara efisien.
Salam Penutup
Armstrong manyatakan bahwa ketika mengambil keputusan, sangat penting bagi individu untuk menilik fakta melalui data dalam proses penelitian dan analisis. “Pemahaman berbasis data membentuk bagian integral dalam sebuah proses pencarian solusi,” ucapnya.
Pendekatan struktural merupakan sebuah metode yang digunakan dalam pemanfaatan kekuatan data dalam pengimplementasian teknologi. Terlebih, penggunaan sistem-sistem lama menciptakan sebuah tantangan tersendiri dikarenakan tidak memiliki kemampuan dalam membaca data dengan baik. Hal ini memerlukan upaya lebih untuk mentransformasikan dan mengintegrasikan data secara efektif.
Armstrong menambahkan bahwa ketika sedang menentukan sebuah keputusan, visualisasi menempati peran penting untuk menunjang keseimbangan kompleksitas informasi dan mengelola pemilihan informasi. Oleh karenanya, keberhasilan sebuah proses integrasi data, teknologi, dan kebiasaan yang menghasilkan pemahaman data adalah sebuah kunci untuk meningkatkan efektifitas pengambilan keputusan dan pemecahan masalah.
Lebih jauh, Mohit meyakini bahwa perubahan dapat menjadi sebuah tantangan tersendiri ke depannya. Pernyataan tersebut menunjukkan pentingnya mengakui tantangan yang terkait dengan perubahan dan mengambil tindakan aktif untuk menghadapi perubahan.
Ia menambahkan bahwa kerjasama dalam bidang teknologi dapat medukung institusi-institusi untuk memanfaatkan kekuatan kolektif, meningkatkan inovasi, meminimalkan potensi kerugian, meningkatkan dan mengakses keahlian spesifik, dan mendapatkan keunggulan kompetitif dalam bentuk dapat mengakses sumber daya di luar institusi.
“Dengan melakukan kerjasama, sebuah kelompok akan menghasilkan capaian yang menguntungkan kedua belah pihak,” tegas Mohit.
Lebih jauh, ia melengkapi pernyataannya bahwa dengan melakukan kerjasama teknologi dalam lingkup institusi, hal ini dapat memungkinkan sebuah organisasi untuk mengakses keahlian secara khusus yang tidak dimiliki secara internal. Kerjasama dengan para ahli teknologi dapat membuka akses terhadap pembaharuan keilmuan, kapabilitas penelitian, dan keahlian teknikal. “Dengan demikian, pengembangan dan implementasi solusi berbasis teknologi dapat ditingkatkan dengan cepat,” tutup Mohit.
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Professor Wisit Wisitsorn-at, the Permanent Secretary of the Ministry of Digital Economy and Society (DES), presided over a meeting at the Office of the National Digital Economy and Society Commission in Bangkok to discuss strategies and initiatives aimed at promoting digital rights. In attendance were Mr Puchphong Nodthaisong, the Secretary-General of the National Digital Economy and Society Commission (SOD), as well as other relevant officers.
Thailand is actively advancing its digital economy to position itself as a prominent digital hub within Southeast Asia. To guide this transformation, the country introduced the Thailand Digital Economy and Society Development Plan (Digital Thailand Plan) in 2016, outlining a comprehensive 20-year strategy. This forward-thinking plan sets long-term policy objectives with clear and measurable targets, organised into distinct phases.
During the initial phase, the plan focused on establishing robust digital foundations, with a particular emphasis on enhancing digital infrastructure across the country. While digital inclusion took centre stage, aiming to ensure that all segments of society can participate and benefit from the digital economy in the subsequent phase.
As of 2023, Thailand is undertaking Phase 3 of the Digital Thailand Plan, which ambitiously aims to achieve full-scale digital transformation by the year 2027. This phase involves the comprehensive adoption of digital technologies across various sectors and industries.
Ultimately, Phase 4, the final phase of the plan, envisions Thailand as a global leader in the digital economy, leveraging its digital prowess to drive innovation, economic growth, and international competitiveness.
Mr Chaiwut Thanakamanusorn, Minister of Digital Economy and Society (DES), along with Mr Puchphong Nodthaisong, Secretary-General of the Digital Economy and Society Committee of Thailand national rights established the digital community last April 2023. It is a community centre project that aims to leverage the power of digital technology in driving economic and societal progress. These centres serve as valuable hubs for public learning and engagement with digital technologies. Currently, there are digital community centres established in 77 provinces, spanning over 2,000 locations nationwide.
These centres play a significant role in providing individuals with the crucial skills to navigate in digital landscape effectively. By offering access to technology resources, programmes and educational initiatives, digital community centres encourage and empower the public to embrace digital innovation to participate in the digital economy.
Additionally, they enhance the accessibility and efficiency of health information exchange, leading to improved patient care and better coordination among healthcare institutions. In a collaborative effort, Mr Chaiwut Thanakmanusorn, the Minister of Digital Economy and Society (DES) and the Government Big Data Institute (GBDi) are responsible for developing Health Link, a system that facilitates the connection of patient medical records among hospitals nationwide. It enables the seamless sharing of health information with the public system.
Thailand is currently focusing on key priority areas outlined in its digital plans to drive the development of the digital economy, including building country-wide high-capacity digital infrastructure, leveraging the economy with digital technology, creating an inclusive digital society, promoting e-government solutions to the public sector, encouraging workforce for the digital era, fostering the security in the digital realm.
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A Memorandum of Understanding (MoU) was signed by the Department of Science and Technology-Advanced Science and Technology Institute (DOST-ASTI) collaborating with the National University and Bicol University to promote the adoption of the iTANONG AI system and the BOSES KO toolkit from the E-Participation Project.
The iTANONG initiative, entitled “A Natural Language Interface to Databases for Filipinos,” is an artificial intelligence (AI) application that employs cutting-edge natural language processing (NLP) technologies. It enables users to access information held in databases and generate insights by simply typing in Filipino, English, or Taglish queries or questions.
The E-Participation 2.1 Project, a collaboration between Northwestern University, Boston University, and the Commission on Higher Education, seeks to employ NLP for community participation. The BOSES KO toolkit is an AI and Machine Learning (ML) application that facilitates inclusive, deliberative, and multilingual real-time data collection and analysis in Ilocano, Bicolano, Tagalog, and English.
The goal of the MoU is to promote the use of iTANONG and BOSES KO in universities, colleges, local government units, and the public and private sectors to develop science and technology while encouraging creativity.
The MOU also aims to explore study topics, applications, and potential integration of iTANONG and BOSES KO, as well as to generate research proposals, joint projects, and collaborative R&D to increase ICT industrial competitiveness. The collaboration is planned to raise public awareness and build strong networks among key stakeholders and interested parties.
The iTANONG AI system and the E-Participation 2.1 project, according to Dr Franz de Leon, Director of DOST-ASTI, can revolutionise how they access and interact with information, making it more accessible to end users, especially for Filipinos who may struggle with English or technical language.
Dr Renato Carlos Ermita Jr, president of the National University, expressed his enthusiasm for and dedication to this alliance. He emphasised that they perceive goals that are aligned with this project, especially given that innovation and patriotism are the two main basic principles of the National University. He added that it was a clear example of how they may link or align knowledge and technology with community development, employing technology for the sake of the nation, must come from every venture they do.
Dr Baby Boy Benjamin Nebres III, SUC President IV, Bicol University, said that the latest effort, which is part of the e-Participation 2.1 projects, is very welcome. It is very important, especially because apps that use AI, ML, and multiple languages to collect and analyse data offer the whole package. As part of their university plan, they are looking for these kinds of innovations to help them build societies that can last for a long time. He hopes that this partnership will lead to a better, more productive friendship that will help everyone.
The signing of this MoU is a big step in how DOST-ASTI, National University, and Bicol University work together and work with the business sector. It fits with the DOST’s mission to do scientific research and development in advanced areas of ICT and electronics while modernising science and technology facilities.
This collaboration could help the iTANONG AI system in important ways, which would help DOST-ASTI and its partners reach their long-term goals of supporting inclusive growth, innovation, the spread of ICT, and the creation of policies that support these goals.
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Data centres are essential for storing, processing, and managing data, providing computing power, supporting business operations, enabling cloud services, and serving as the foundation of the internet. They contribute to disaster recovery, connectivity, energy efficiency, research, and economic growth, making them indispensable in the increasingly digital world.
Chengdu Supercomputing Centre, located in Chengdu, has recently made significant advances in adopting advanced energy-saving technology, positioning itself as a leader in the development of green data centres.
This accomplishment was recently recognised at the prestigious 2023 Data Centre Green Development Conference, where the centre was awarded the title “National Green Data Centre” by six prestigious departments, including the Ministry of Industry and Information Technology and the National Energy Administration.
Chengdu Supercomputing Centre was the only data centre in Sichuan Province to receive this distinction among the 43 data centres featured on the 2022 National Green Data Centre List, which includes sectors such as communications, the Internet, public institutions, energy, and finance. This award not only highlights the centre’s commitment to sustainability but also positions it as a model for other institutions throughout the region and beyond.
The success of the Chengdu Supercomputing Centre can be attributed to its construction of both the host system and infrastructure system in accordance with national norms and standards. Utilising cutting-edge energy-saving technologies, such as the immersion phase-change liquid-cooled refrigeration system and the cold-plate liquid-cooled system, the centre has significantly increased its energy efficiency and decreased its environmental impact.
The highly efficient immersion phase-change liquid-cooled refrigeration system utilises a liquid that undergoes a phase change to effectively dissipate heat. This innovative cooling solution not only improves energy efficiency but also reduces the centre’s environmental imprint.
Similarly, the cold-plate liquid-cooled system, which is renowned for its superior cooling efficiency, optimises the centre’s energy consumption, ensuring that all available resources are utilised in the most effective manner.
Chengdu Supercomputing Centre offers a good example for the industry by embracing these innovative energy-saving solutions. As the demand for processing power grows at an exponential rate, data centres play an important role in a variety of industries, including research, banking, and telecommunications. However, data centres’ energy usage can be enormous, making it critical to examine sustainable solutions.
The awarding of the title of “National Green Data Centre” to Chengdu Supercomputing Centre not only recognises its dedication to environmental stewardship but also highlights the feasibility and benefits of incorporating energy-saving technologies into data centre operations. The centre’s achievements demonstrate that energy efficiency and high-performance computing are not mutually exclusive, but may coexist.
The centre’s success will likely motivate other institutions to prioritise energy-saving activities and implement innovative technologies as it continues to set the way for green data centre development. By working together to adopt more sustainable practices the industry can make substantial gains in lowering its carbon footprint and lessening the environmental impact of data centres.
The accomplishment of the Chengdu Supercomputing Centre serves as a reminder that sustainability is a shared responsibility. Data centres may become change agents by embracing sophisticated energy-saving technologies and supporting green practices, accelerating the transition to a greener, more sustainable future.
The award recognises the importance of environmental consciousness in the fast-growing sector of data centres and encourages others to follow suit in their pursuit of energy efficiency and environmental stewardship.
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Flight Lieutenant Somporn Pandam, Deputy Secretary-General of the Vocational Education Commission, commenced a training session focused on information security guidelines and practices, as well as guidelines for protecting personal data in an online format.
He emphasised the Office of the Vocational Education Commission’s (OVEC) commitment to strictly adhere to the Personal Data Protection Act (PDPA) and stressed the importance of fostering understanding and awareness among personnel regarding this matter. The objective of the training was to enhance comprehension of policies and guidelines for information security and personal data protection, ultimately promoting a safe and efficient work environment that respects individual privacy rights.
The Personal Data Protection Act (PDPA) of Thailand, which will be fully enforceable this year, presents promising opportunities for companies from the United States specialising in data technologies and services. Serving as Thailand’s first consolidated law governing data protection, the PDPA’s enforcement is scheduled to commence in June 2022. Initially signed into law in 2019, the implementation was postponed until 2022 following the Cabinet’s approval of a royal decree.
The PDPA holds significant importance as it is regarded as Thailand’s first legislation specifically designed to regulate data protection in the digital era. In terms of scope and impact, it is often compared to the European General Data Protection Regulation (GDPR). The PDPA covers various crucial aspects, including data processing, data collection, data storage, and data consent protocols. Once enforced, it is expected to revolutionise the landscape of personal data protection in Thailand, reinforcing the rights and privacy of individuals.
Under the PDPA, data controllers and processors are mandated to obtain explicit consent from data owners before using their personal data. This consent requirement aligns with the overarching principle of respecting individuals’ privacy rights, as committed by the Constitution of the Kingdom of Thailand. The Constitution serves as a legal framework that upholds all Thai citizens’ human dignity, rights, freedoms, and equality. It ensures their protection through the customary practices of the Thai government.
Recognising the fundamental right to privacy granted by the Constitution, individuals are entitled to safeguards against any undue exploitation of their personal data, which pertains to their unique identities. Consequently, if personal data is utilised in a manner that violates or infringes upon an individual’s right to personal data as established by the Constitution, that individual may be eligible to seek damages under the Thai Civil and Commercial Code.
To comply with the PDPA and promote a secure working environment, Flight Lieutenant Somporn Pandam emphasised the significance of information security and personal data protection during the training session. By equipping personnel with a comprehensive understanding of the policies and guidelines outlined in the PDPA, the training aimed to foster awareness and promote responsible data handling practices. This approach not only ensures compliance with the law but also safeguards individuals’ privacy rights and enhances overall work efficiency.
The training session offered participants valuable insights into the requirements and principles of information security and personal data protection. It emphasised the necessity of implementing stringent measures to protect sensitive data from unauthorised access, misuse, alteration, or disclosure. By adhering to these guidelines, organisations can establish a robust information security framework that safeguards personal data and mitigates the risks associated with data breaches.
Moreover, the training underscored the importance of creating a culture of privacy awareness and responsibility within the workplace. Personnel were encouraged to adopt best practices for data protection, such as securely storing and transmitting data, implementing strong access controls, and regularly updating security protocols. By fostering a privacy-conscious environment, organisations can cultivate trust among stakeholders and uphold their commitment to protecting personal data.
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Digital transformation is a journey that requires continuous leadership, strategic vision, and a commitment to change. It involves transforming the entire organisation’s culture, processes, and methods of working to embrace the digital era and maintain a competitive edge in a rapidly changing business environment.
The Central Committee of the Chinese Communist Party and the State Council issued “Opinions on Building a Data Basic System to Better Play the Role of Data Elements” in December 2022. Data elements are a crucial indicator for driving digital transformation, and maximising the value of digital elements during the digital transformation process has become a central concern.
With this, the China Academy of Information and Communications Technology’s (CAICT) foundation plan is in its early stages and is focused on digital transformation supply. This is to help the growth of industries related to digital transformation, speed up the development of the data factor market, and make the most of the important value of data as a production factor.
In addition, the “Panorama of High-Quality Digital Transformation Products and Services (2023)” collection was recently released and has gotten a lot of attention and involvement from the industry. At the moment, more than 200 businesses have taken part in work linked to this.
On the other hand, the CAICT foundation plan officially launched the collection of “typical cases” of high-quality digital transformation in 2023. This was done to give digital suppliers and buyers more information about best practices and benchmarking. “Typical Cases,” asks both the supply side and the demand side of digital change for examples of good ways to use digital technology or methods. Changes in the way and means of running the country.
For this set of “typical cases,” applicants must fill out the 2023 Application Form for High-quality Digital Transformation Typical Cases of the CAICT’s foundation programme. This form asks for basic information about the lead applicant, the declared products, and the basic results. The first group of shortlisted cases will be announced at the Digital Transformation Conference in July 2023, while the shortlisted cases for the whole year will be announced at the annual meeting at the end of December 2023.
Further, China’s digital transformation has seen stunning progress and has emerged as a significant strategic objective for the country. The nation has emerged as a global leader in digital innovation and adoption due to its large population, technological developments, and strong government support.
Also, the government’s active engagement in defining the digital landscape is one of the primary drivers of digital transformation in China. The Chinese government has put in place several laws and measures to encourage digitalisation across industries.
China’s digital transition is also being powered by the country’s flourishing tech industry. Several IT titans have pioneered breakthrough digital solutions and services in the country. E-commerce, mobile payments, and social media platforms have grown rapidly, changing customer behaviour and enabling new business models.
China has made tremendous advances in emerging technologies such as artificial intelligence (AI), big data analytics, and cloud computing. These technologies are being used to optimise operations, improve efficiency, and improve decision-making across industries such as healthcare, finance, manufacturing, and transportation.
China’s economy, society, and way of life have all been revolutionised by the advent of digital technology. It has sparked innovation, raised productivity, and increased China’s businesses’ overall competitiveness on a national and international scale.