SAS Voices

Data Management

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

Data Management | Fraud & Security Intelligence

Stuart RoseApril 26, 2016 0

10 simple steps to detect more insurance fraud

Over the years I have written many blogs about insurance fraud including those on anti-money laundering, data quality in fraud, anti-fraud technology, life insurance fraud and even ghost broking. It’s clear that insurance fraud comes in many shapes and sizes and as losses continue to grow, detecting and preventing fraud

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Data Management | Internet of Things

Alan LipsonApril 20, 2016 0

Don’t let anything come between you and your customers – except IoT sensors

When something comes between you and your customers – like not having product in-stock or providing offers that aren't relevant to the customer – it causes delays and makes it harder to complete transactions in a satisfying way. But, an inexpensive sensor, beacon or Radio Frequency Identification (RFID) tag placed

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Retail

Advanced Analytics | Data Management

Randy GuardApril 20, 2016 2

How to embed advanced analytics in your biggest ideas

As we look at the last 40 years of innovation using analytics, it can be both humbling and inspiring. I mean, who would have anticipated 40 years ago that SAS® would be used to analyze genomic data and help develop specialized medications as a result? Who would have guessed that

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Data Management

Caroline HermonMarch 31, 2016 0

Treading the murky legal waters of big data

While the growth of big data is an issue that preoccupies both the public and private sector, it’s also high on the UK government’s legislative agenda. All eyes are currently on the authorities, as we wait with bated breath to see what’s next in the quest to manage data escalation.

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Data Management | Data Visualization

Bill DavisMarch 23, 2016 0

Your Hadoop data visualization questions answered here and at #StrataHadoop

If a picture is worth a thousand words, then visualizing data in Hadoop would be like a billion. Over the last few years, organizations have rushed to leverage the low-cost distributed computing and storage power of Hadoop clusters. As Hadoop environments mature and move away from their initial focus of

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Data Management

Brian Kinnebrew, a Senior Solutions Architect at SAS

Bill DavisMarch 18, 2016 0

MapReduce vs. Apache Spark vs. SQL: Your questions answered here and at #StrataHadoop

As the big data era continues to evolve, Hadoop remains the workhorse for distributed computing environments. MapReduce has been the dominant workload in Hadoop, but Spark -- due to its superior in-memory performance -- is seeing rapid acceptance and growing adoption. As the Hadoop ecosystem matures, users need the flexibility to use either traditional MapReduce

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Data Management | Internet of Things

Bill DavisMarch 15, 2016 0

Your streaming analytics questions answered here and at #StrataHadoop

Streaming analytics is a red hot topic in many industries. As the Internet of Things continues to grow, the ability to process and analyze data from new sources like sensors, mobile phones, and web clickstreams will set you apart from your competition. Event stream processing is a popular way to

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Data Management

Alan CudneyFebruary 19, 2016 0

Here comes MACRA: Analytics can help you measure and manage

Medicare payment changes are coming. The Centers for Medicare and Medicaid Services (CMS) has announced the intention of increasing the proportion of payments to providers based on outcomes and changes in health status, as opposed to delivery of services. At the January 11th, 2016 J.P. Morgan Annual Health Care Conference,

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Data Management

Stuart RoseFebruary 12, 2016 1

Big data – game changer for insurers.

A recent survey by Capgemini found that 78% of insurance executive interviewed cited big data analytics as the disruptive force that will have the biggest impact on the insurance industry. That’s the good news. The bad news is that unfortunately traditional data management strategies do not scale to effectively govern

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Customer Intelligence | Data Management | Fraud & Security Intelligence

Suzanne ClaytonFebruary 11, 2016 0

What's next in digital and mobile?

Last year at Mobile World Congress (MWC), we saw the reality of the IoT come to fruition. We saw leaders like AT&T showing their prototypes of connected cars, containers, agricultural sites, homes, etc. And it's got me wondering what we'll see at the 2016 MWC. In 2015, communications and media

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Blogs

Blogs

Data Management