Data Management is the organization of data, the steps used to achieve efficiency, and gather intelligence from that data. Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data Management should not […]
Advances in Master Data Management
The purpose of a Master Data Management program is to organize an organizations most important data assets, allowing them to be used efficiently and creatively. The choice of organizational styles determines how the data performs during an analysis, when building new relationships, and while making decisions that increase profits. There are key factors that should […]
The Importance of Graph Databases in Business Analytics
Augmented analytics is one of the top 10 technologies Gartner identified with the potential to cause significant digital disruption in the next three to five years. The hallmark of augmented analytics is its high reliance on AI and ML technologies. AI and ML together will transform enterprise Data Management in the coming years, and many […]
Managing Metadata: An Examination of Successful Approaches
“If Google can deliver results across the entire internet in seconds, why do I have so much trouble finding things in my organization?” asked Jonathan Adams, Research Director at Infogix, at the DATAVERSITY® DGVision Conference. In a presentation titled, “I Never Metadata I did Not Like” Adams outlined successful approaches to understanding and managing metadata […]
Serverless Computing Use Cases
The uniqueness of serverless computing is its ability to survive without the presence of physical machines and systems software. In the serverless computing world, the client subscribes to a set of services including special “APIs and web services” that software developers can use to quickly build useful and scalable architectures for on-demand computing services. Serverless […]
Data Management vs. Data Science
The shift in the business perception of data has now catapulted Data Management into new heights. Data Science is a core component of Data Management now, but Data Management and Data Science are often seen as two different activities. Working among data analysts, data engineers, and DBAs, data scientists spend their time getting the data […]
Case Study: Cornell University Automates Data Warehouse Infrastructure
Cornell University is a privately endowed research university founded in 1865. Ranked in the top one percent of universities in the world, Cornell is made up of 14 colleges and schools serving roughly 22,000 students. Jeff Christen, data warehousing manager at Cornell University and adjunct faculty in Information Science, and Chris Stewart, VP and general […]
Building Machine Learning Program Success
Kristen Serafin, associate director at Financial Industry Regulatory Authority (FINRA) and Lizzie Westin, lead systems analyst at FINRA, speaking at DATAVERSITY® Enterprise Analytics Online Conference, shared how they were able to gain traction for a successful machine learning program. The presentation was titled Ushering in the Age of Machine Learning. FINRA is a private, not-for-profit […]
Case Study: Polaris Puts Data Analysis in the Service of Defeating Human Trafficking
Human trafficking is believed to be the third-largest criminal activity in the world, according to the FBI. The Department of Homeland Security advises that industries around the world including agriculture, hospitality, restaurant, and domestic work, as well as prostitution, often take advantage of modern slavery. Those pulled into this underworld are often held in isolation […]
Seven Tools for Effective CDO Leadership
The position of Chief Data Officer (CDO) is relatively new in the federal government, and emerging regulations are providing leadership opportunities for the CDO. A new law, the Foundations for Evidence-Based Policymaking Act, went into effect on January 14, 2019, establishing a set of standards and practices for the United States federal government to modernize […]