Team Data — data architects in particular, whatever their official title may be — have a job to do. That is to take more aggressive steps to protect data assets on behalf of customers and constituents. The responsibility falls to data architects because few in most organizations are thinking about protecting data from the data point of view, so to speak. The lawyers and the security group think about it…

The general pattern of technology upgrades in Enterprise Analytics & Business Intelligence that occurred in 2019 signaled the emergence of some specific types of analytics: smart, real-time, augmented, and conversational. These trends will continue growing well into 2020 and beyond. Also included in that list are: Smart devices and multi-channel data will require smart analytics tools for improved insights; real-time analytics will be a necessity in the era of sensors…

Artificial intelligence (AI) has provided a critical competitive advantage for those organizations able and willing to use it. AI has gained significant momentum in the last few years, acting as personal assistants for some, while processing business transactions and providing technical services to others. AI systems have the ability to manage large amounts of data in a number of ways. Different types of artificial intelligence have been evolved to handle…

Click to learn more about author Dávid Szakallas. In recent years, the size and complexity of our Identity Graph, a data lake containing identity information about people and businesses around the world, begged the addition of Big Data technologies in the ingestion process. We used Apache Pig initially, and then migrated to Apache Spark a couple of years ago. Here is a closer look at our journey and vital lessons…

For any transformational Business Strategy, data-driven intelligence must be “readily accessible, interpretable, and actionable” whenever necessary. At the macro level, a data-driven culture has to be consciously propagated throughout the organization, end-to-end. Digital businesses have acknowledged the importance of data accessibility and have embraced this culture within their business model to remain competitive. The late adopters or data-culture beginners can more quickly adapt to a data-driven Business Strategy by aligning…

The Data Literacy Project says that workforce data literacy has proven to have a positive correlation with corporate performance. Improved corporate data literacy positively impacts gross margin, return-on-assets, return-on-equity, and return-on-sales, resulting in $320 to $534 million in higher enterprise value over organizations with lower data literacy, according to the Data Literacy Index. The study also found that 76 percent of key business decision makers aren’t confident in their data…