Search Results: Visual Analytics (1628)

Data Visualization
Sanjay Matange 0
Report from MWSUG 2014

The Mid-West SAS Users' Group conference in Chicago was a great success, with over 400 attendees and great weather.  The conference hotel was in downtown with nice view of the river and a stroll down "Magnificent Mile".  The city does a great job with the flower beds down Michigan Ave., along

Data Management
Anne Belder 0
Hadoop: the game-changer in banking

At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing

Mark Torr 0
How Hadoop emerged and why it gained mainstream traction

In the world of IT, very few new technologies emerge that are not built on what came before, combined with a new, emerging need or idea. The history of Hadoop is no exception. To understand how Hadoop came to be, we therefore need to understand what went before Hadoop that led to its creation. To understand

SAS Events
Sara Jones, CMP 0
Your SAS Global Forum 2015 draft kit

It’s my favorite time of the year, draft time!  NFL and Fantasy Football fans, I don’t mean THAT draft, but similar.  It’s what I will call the #SASGF15 draft! The time of year when the best and the brightest, the most knowledgeable, passionate, and inspirational SAS users submit ideas around

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

Leo Sadovy 0
Why analytic forecasting?

Because you are already halfway there and you should want the entire process to be data-driven, not just the historical reporting and analysis.  You are making decisions and using data to support those decisions, but you are leaving value on the table if the analytics don't carry through to forecasting.  In the

Jim Harris 0
Data science and decision science

Data science, as Deepinder Dhingra recently blogged, “is essentially an intersection of math and technology skills.” Individuals with these skills have been labeled data scientists and organizations are competing to hire them. “But what organizations need,” Dhingra explained, “are individuals who, in addition to math and technology, can bring in

Leo Sadovy 0
External data: Radar for your business

How much of your business performance (profit) is driven by external factors versus internal?  A figure of 85% compared to 15% was mentioned at last month’s Manufacturing Analytics Summit, and although I could not find the study mentioned to confirm, it feels about right to me.  Certainly more than half,

Sunny Zhang 0
Series: BCBS 239 - Principle 10

Principle 10: Frequency – The board and senior management (or other recipients as appropriate) should set the frequency of risk management report production and distribution. BCBS 239 “Effective Risk Data Aggregation & Risk Reporting”, released in January of 2013, specifically requires that the bank’s board and senior management should be

Data Visualization
Ian Jones 0
Trade Surveillance: Watching you watching me

“Technological innovation is no longer a choice: it is an imperative.” So said Scott O’Malia, Commissioner of the Commodity Futures Trading Commission, about trade surveillance during his keynote address at the recent SAS-sponsored New Risk in Energy 2014 conference in Houston. He was attempting, as he has before, to spur

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