SAS Voices

Data Management

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

Data Management

Leo SadovyDecember 2, 2014 3

The bigness of your data is likely not its most important characteristic. In fact, it probably doesn’t even rank among the Top 3 most important data issues you have to deal with. Data quality, the integration of data silos, and handling and extracting value from unstructured data are still the most

Analytics | Data Management

Suzanne ClaytonNovember 24, 2014 0

Be proactive. Be a trailblazer with data.

For many industries, big data analytics have opened numerous doors for more employees to be groundbreaking and to challenge the corporate status quo. Prior to big data technologies, risk taking behaviors were primarily reserved for provocative souls who stretched organizational boundaries to disrupt industries, such as airline revenue management. There were winners and losers

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Data Management | Risk Management

Larry RoadcapNovember 10, 2014 0

Value from Business-Driven Stress Testing

Going Beyond Regulatory-Mandated Tests to Achieve True Risk Management I regularly hear banking customers talk about ‘sweating their assets’ - leveraging their substantial investments in expanded teams of risk analysts, re-engineered processes and new risk systems for Basel II and III compliance – to gain better insights into their business.

Analytics | Data Management | Internet of Things

Suzanne ClaytonNovember 6, 2014 1

Big data without analytics is just data

Data has value IF you can analyze it, said participants at a big data analytics roundtable at the Premier Business Leadership Series in Las Vegas. In attendance were executives from some of the largest Communications companies in the world including from the US, Canada, Turkey, Japan, Australia and the Philippines as well

English

Data Management

Olivier PenelNovember 4, 2014 0

Words of wisdom from big data early adopters

With big data, data governance challenges escalate in many ways: The diversity of data sources means that there are minimal standards for data structure, definition, semantics and content. The lack of control over data production means that you can’t enforce data quality at the source as you can do with

English

Data Management

Wilson RajOctober 31, 2014 0

Data privacy doesn't have to be scary

Marketers are walking a tightrope today with data privacy issues: Data can simultaneously bring customers and brands together and further drive them apart. Recent data breaches, potential changes in data-privacy legislation and regulations loom large as customer expectations concerning marketing data continue to rise. As a result, today’s complex data

English

Data Management

Suzanne ClaytonOctober 28, 2014 0

True digital marketing intelligence is all in the data!

At a recent MESA - Hollywood IT Society Digital Marketing conference, Claudio Ludovisi, SVP, Operational Strategy NBCU Entertainment for Marketing & Digital took a live poll of about 200 or so media marketing executives in the audience and asked them to “Think about what it takes to achieve true multiplatform

English

Data Management

Mazhar LeghariOctober 27, 2014 0

Four tips for putting business users in touch with Hadoop

The Global Hadoop market was valued at $1.5 billion in 2012 and is expected to grow at a compound annual growth rate of 58.2 percent, to reach $50.2 billion by 2020, according to a Hadoop Market Analysis report prepared by Allied Market Research. There is no doubt that IT teams are

English

Data Management

Anna BrownOctober 17, 2014 2

Got a SAS question? Just Google it.

How many times a day do you search (or “Google”) how to do something with a product, the best ways to perform “X,” or for help with a problem? Chances are it’s a lot, and when you do, you likely land on a forum where your peers have posted answers

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Data Management | Data Visualization

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