Data Management

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

Advanced Analytics | Analytics | Customer Intelligence | Data Management
Alan Lipson 0
Get your house in order to cash in on retail’s omnichannel promise

Would you build a house without a proper foundation? Most of us wouldn’t dare, but that’s exactly what many retail businesses are doing today. When building a house, if you don’t get the foundation right, paint, wallpaper and fixtures won’t matter much. It’s no different in the retail industry. Success

Data Management
Steve Polilli 0
Your data is in Hadoop, so what?

Okay, let's say your data is in Hadoop. The distributed, open source framework is configured as it should be across low-cost servers and your data is sitting in those clusters. It's been a meaningful effort to get to this point but how does it benefit your organization? If it's not doing something

Data Management
Ravi Chari 0
Series: BCBS 239 – Principle 13

Principle 13: Remedial actions and supervisory measures - Supervisors should have and use the appropriate tools and resources to require effective and timely remedial action by a bank to address deficiencies in its risk data aggregation capabilities and risk reporting practices. Supervisors should have the ability to use a range

Data Management
Jose Etchegoyen 0
Series: BCBS 239 – Principle 11

Principle 11: Risk management reports should be distributed to the relevant parties while ensuring confidentiality is maintained. Early in 2013, the Basel Committee on Banking Supervision (BCBS) issued guidelines for banks regarding risk data aggregation and reporting. Known collectively as BCBC 239, these principles were designed to ensure that banks

Data Management
Karen Lee 0
We’ve come a long way, baby!

How Internal Communications got into the video business. Everybody loves video. Well, maybe not everybody, but judging by the popularity of YouTube and the ubiquity of Web videos in general, I’d have to conclude that a mighty large chunk of the population loves – or at least likes – it.

Data Management
Alyssa Farrell 0
A must-read for petroleum professionals

Oil companies are being forced to explore in geologically complex and remote areas to exploit more unconventional hydrocarbon deposits.  New engineering technology has pushed the envelope of previous upstream experience.  No guidebook existed on how computing methodologies can contribute to E&P performance at reduced risk.  Until now. A new book

Data Management
Jeff Hasmann 0
Series: BCBS 239 - Principle 9

Principle 9: Risk management reports should communicate information in a clear and concise manner. Reports should be easy to understand yet comprehensive enough to facilitate informed decision-making. Reports should include meaningful information tailored to the needs of the recipients. While the data management and data aggregation principles have been heavily

Data Management
Vickram Panwar 0
Series: BCBS 239 - Principle 7

Principle 7: Accuracy - Risk management reports should accurately and precisely convey aggregated risk data and reflect risk in an exact manner. Reports should be reconciled and validated. Successful demonstration of Principle 7 requires senior management to rely upon the information presented in risk reporting. Since forward-looking strategic decisions are

Data Management
David Pope 0
Your "SAS view" on steroids

Data federation is a relatively new term used to describe a form of data virtualization. Data virtualization, however, is not new. It has been around since at least the 1960's when virtual memory was introduced to simulate additional memory beyond what was physically available on a machine.  While data federation is a

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

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