Data Management

Blend, cleanse and prepare data for analytics, reporting or data modernization efforts

Data Management
Aiman Zeid 0
No one route to analytics success

I led an analytical culture track at the SAS Global Forum Executive Conference last month in Washington, DC. I talked with leaders in fields as diverse as healthcare, chemical manufacturing and government. Although these organizations have very different operating models, their challenges, comments and questions were similar. They all recognized

Data Management
Sam Munoz 0
Series: BCBS 239 - Principle 4

Principle 4: Completeness – A bank should be able to capture and aggregate all material risk data across the banking group. Data should be available by business line, legal entity, asset type, industry, region and other groupings, as relevant for the risk in question, that permit identifying and reporting risk

Data Management
Sam Munoz 0
Series: BCBS 239 – Principle 3

Principle 3: Accuracy and Integrity – A bank should be able to generate accurate and reliable risk data to meet normal and stress/crisis reporting accuracy requirements. Data should be aggregated on a largely automated basis so as to minimize the probability of errors. It seems logical that banks would want

Data Management
Sam Munoz 0
Series: BCBS 239 - Principle 2

Principle 2: Data architecture and IT infrastructure – A bank should design, build and maintain data architecture and IT infrastructure which fully supports its risk data aggregation capabilities and risk reporting practices not only in normal times but also during times of stress or crisis, while still meeting the other

Data Management
Brooke Upton 0
Series: BCBS 239 - Principle 1

Principle 1: Governance – A bank’s risk data aggregation capabilities and risk reporting practices should be subject to strong governance arrangements consistent with other principles and guidance established by the Basel Committee. My colleagues and I have written a series of posts on the principles of BCBS 239. In this

Data Management
Lane Whatley 0
Technology Connection offers R&D vision

“My goal is to constantly improve the quality and stability of our software while at the same time innovating,” said Vice President of SAS Resarch and Development Armistead Sapp yesterday at the SAS Global Forum Technology Connection. Hosted by Product Management Director Michele Eggers, the Technology Connection focused not only on

Data Management
David Pope 0
The magic of ESP for the oil and gas industry

Acronyms are funny things. Need an example? Try decoding this sentence: How is event stream processing (ESP), applied to electrical submersible pumps (ESP) in the oil and gas industry, like extrasensory perception (ESP)? Even if you had extrasensory perception you would still need some clarification if that sentence contained acronyms only.

Data Management
Jim Harris 0
Why can’t we predict the weather?

This is the time of year when we like to make predictions about the upcoming year. Although I am optimistic about the potential of predictive analytics in the era of big data, I am also realistic about the nature of predictability regardless of how much data is used. For example, in

Data Management
Fiona McNeill 0
Need help with Data Management?

I'm happy to announce the SAS Data Management support community has a new look and feel! And there’s lots of additional content and resources now too. The SAS Data Management community on support.sas.com is a central hub for anyone interested in SAS data access, integration, quality and governance. Community Manager

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