If your business strategy is fueled by data, bad data can be compared to poor quality oil in a car engine. Frankly, there is no chance you’ll go far and fast if you fill the tank with poor quality oil.
Organizations need to make sure that good quality data is available to everyone who needs it and shouldn’t have to rely on a small IT team or a couple of rock star data personnel to make that happen.
The cloud is a well-established platform and is becoming prevalent for numerous data management disciplines, including those for data integration and related fields such as data quality, master data management, data warehousing, and reporting.
Data storage and access can affect the way your financial institution uses its data. But it’s a struggle to balance the need for access to data and ensure that data is accurate, protected, and compliant.
Using Talend Big Data Platform to build a cloud data lake on the Microsoft Azure Cloud Platform, learn how a company was able to integrate and cleanse data from multiple sources and deliver real-time insights.
With the acceleration of the digital economy, legislation on data protection and cybersecurity is burgeoning across the world, mandating organizations to establish policies to safeguard personal information, manage the risk related to their data, and address their legal responsibilities.
Increasingly, companies are adopting them for a wide variety of use cases. But how well does a cloud data warehouse help companies become more data-driven?
To support business objectives such as revenue growth, profitability, and customer satisfaction, organizations are increasingly reliant on data to make decisions. Data-driven decision making is at the heart of your digital transformation initiatives.
Because of large unstructured data volumes, there is a need to have automated help and assistance when proceeding with data analytics. Talend combines smart semantics and machine learning to turn data into insights faster.
Working together with business users and empowering them on the data lifecycle will give you and your team superpowers to overcome traditional obstacles such as cleaning, reconciling, matching or resolving your data.