Jenny Schultz has been with Freddie Mac since 1998. “We have tried to do the ‘data thing’ more than a few times, driven by IT, but it never stuck because the business didn’t see the value in leveraging their data and managing and governing it,” she said during her DATAVERSITY® Enterprise Data World Conference presentation […]
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 […]
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 […]
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 […]
Streaming Analytics: The Value is in the Action
“When we’re talking about streaming analytics, we’re talking about flipping our traditional paradigm a little bit and thinking about how we bring analytics to our data, and not necessarily data to our analytics,” said Kimberly Nevala, the Director of Business Strategies for SAS Best Practices, while discussing streaming analytics during the DATAVERSITY® Enterprise Analytics Online […]
Data Governance: Balancing Security and Availability
When Maria Voreh started at the Federal Bureau of Investigation (FBI), her first assignment was working on the Integrated Automated Fingerprint System (IAFS), technology often seen in police movies and television shows such as “CSI.” “They take a print and the machine does this magic work, and sub-seconds later the suspect is found.” Voreh is […]
Metadata Repository Essential Use Cases
“Even though we’re working with very sophisticated Data Science resources, we still hear over and over, ‘I don’t even know what data is available,’” said Susan Swanson, the Senior Manager of Data Modeling and Architecture at Health Care Service Corporation (HCSC), an organization that offers regional health care coverage and services. Speaking at the DATAVERSITY® […]
Data-Centric Architecture: Find Value with a Data Platform Approach
Applications provide a way to capture raw data in forms and store it in databases, and automated processes make it possible to extract meaning from that data using application programming interfaces (APIs). The current process-centric mindset assumes that the value resides in the automated processing, yet the limitations and costs inherent in its reliance on […]
Scaling the Analytics Team: Developing Key Roles
In an enterprise analytics team, different roles exist to fill different needs, and those needs must be met in order to be successful. Launching an analytics program doesn’t necessarily require a massive influx of personnel before producing usable insights from data, yet it’s important that critical roles are filled, whatever the size of the team. […]