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 […]
Understanding the Uses of Artificial Intelligence
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 […]
Case Study: Deriving Spark Encoders and Schemas Using Implicits
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 […]
Data Strategy vs. Business Strategy
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 […]
Data Literacy Leads to Success
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 […]
Socializing Data Governance: Utilizing a Common Data Matrix
“Data Governance is like Lord of the Rings. You are on a journey to cast obfuscation and bad decisions into the fires of Mount Doom. To succeed in this quest, you will need a fellowship of data” said Mark Horseman, Data Enthusiast at the Northern Alberta Institute of Technology (NAIT), in his presentation titled Socializing […]
Data Science Trends in 2020
The exponential growth of data, partly generated by sensor-driven devices, is making Data Science and machine learning (ML) market differentiators in global business-analytics solutions. With the rising demand in Data Science and ML skills, 2020 may well be a witness to several new trends in the field. According to IDC: “[I]f our digital universe or […]
Justify MDM Investments with an Alternative Approach
How far can Data Quality fall before real pain sets in? Not far. Addressing that issue requires validating, matching, and merging existing data so that you can drive out duplicates and enrich the data with new data as it becomes available. In other words, it requires Master Data Management (MDM), which helps companies share data […]
Big Data Trends in 2020
In 2019, automation frameworks designed to process big data made it much easier to go from the start of a new analytics project to the production phase. Additionally, per the requirements of GDPR, many more businesses now have Chief Protection Officers (and likely Chief Data Officers), which has, in turn, resulted in their shifting from […]
Data Governance Trends in 2020
Data Governance always has been a complicated issue for most organizations. That won’t change in a big way in 2020. In fact, the increasing prevalence of technologies like artificial intelligence (AI) and machine learning (ML) may show up some of the pains even more. Don’t take that to mean that companies aren’t becoming more mature […]