SAS Voices

Data Management

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

Katherine ChinnOctober 8, 2014 1

Exploring athletic data down to the individual stroke

Since my opening blog post about our new partnership with British Rowing and the GB Rowing Team, I’ve had a deep dive into their data, and we’re now close to our first key milestone – having all the data about a rower in a single location, so we can then

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Data Management

Anne BelderOctober 7, 2014 1

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

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Data Management

Stefan AhrensOctober 1, 2014 0

Predictive analytics and Hadoop: Challenges and solutions for managing the whole analytics lifecycle

So, you've heard the Hadoop hype and you are looking – or have already invested – into Hadoop. Maybe you have also realized some benefits from the Hadoop ecosystem. But now you want to maximize those benefits by using advanced analytics, or you might have heard about algorithms or machine learning libraries available

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Advanced Analytics | Analytics | Customer Intelligence | Data Management

Alan LipsonSeptember 30, 2014 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

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Retail

Data Management

Stuart RoseSeptember 26, 2014 0

Decision Driven Marketing ..Real-time or No Time

People often talk about the customer experience and the engagement model. This is an easier task when a business has regular interactions with its customers like banks and retailers. However, for insurers, this is a challenge. First of all, insurers have infrequent interactions with their customers. When there is interaction,

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Analytics | Data Management

Stefan AhrensSeptember 15, 2014 1

What an IT project manager should know about analytics projects

Imagine this situation: You go to you doctor and tell her that "something hurts in the lower chest area." Now, based on this short description of your pain, you expect her to come up with a precise diagnosis and a specific therapy suggestion, including treatment time and associated cost. Sound

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Analytics | Customer Intelligence | Data Management

Leo SadovySeptember 9, 2014 2

The tragedy of overcapacity

Capital investment in production capability is the weakest link in the business value chain. It always has been and likely always will be. It’s the driving force behind the tendency towards cartels, collusion and monopolies. While it can make the first entrant into a brand new market, in the long

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Manufacturing

Data Management

Steve PolilliSeptember 5, 2014 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

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Analytics | Data Management

Anne BelderSeptember 3, 2014 0

Data as the most critical asset

Writing my previous post about digital banks got me thinking about the widespread use of analytics. In his book Digital Bank, Chris Skinner states that data should be seen as the most critical asset for digital banks. Actually, this holds true for almost every company nowadays. If you don’t have data of

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Data Management

Steve PolilliJuly 29, 2014 0

Has the Hadoop hype left you confused?

Perhaps you're a big data expert who is fluent in Pig, Hive, MapR and all the technologies associated with the open source big data framework. Or maybe your role hasn't yet been touched by the increasingly popular Hadoop system. It's certainly worth a few minutes of your time (or perhaps

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Blogs

Blogs

Data Management