SAS Blogs

Data Management

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

Data Management

Alan CudneyMay 12, 2016 0

Hospitals, data and analytics (part 2): Optimism and progress

In my previous post, I wrote about the Quick Pulse survey of leaders of health care institutions and the vital role data and analytics has in patient care and engagement. In this post, I'll tell you what the survey had to say about the progress these leaders believe they are

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Health Care

Data Management

Phil SimonMay 12, 2016 0

Considerations and tips for big data integration

.@philsimon asks some fundamental questions about taking the next step with #bigdata.

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Data Management

Patryk ChorośMay 10, 2016 0

Data Governance - pierwsze kroki - część 1 z 4

XXI wiek to rewolucja informacyjna, gdzie wykorzystywanie danych na masową skalę jest codziennością. Każda działalność biznesowa wymaga dzisiaj, aby informacje wspierające podejmowanie decyzji były wysokiej jakości, dostarczane na czas, i co najważniejsze, były pewne i gwarantowały bezpieczeństwo prowadzonej działalności biznesowej. Rozwój ekosystemów analitycznych, oferowanych przez firmy innowacyjnych produktów i usług

Polish

Data Management

Jim HarrisMay 9, 2016 0

Where should data quality happen?

In my previous post I discussed the practice of putting data quality processes as close to data sources as possible. Historically this meant data quality happened during data integration in preparation for loading quality data into an enterprise data warehouse (EDW) or a master data management (MDM) hub. Nowadays, however, there’s a lot of

English

Data Management | Students & Educators

Georgia MarianiMay 6, 2016 0

Education shines BIG in Vegas!

Not everything that happens in Vegas stays in Vegas. At this year’s SAS Global Forum 2016, so many exciting things happened that I have to share some highlights. From the use of analytics in college administration to the teaching of analytics in the classroom, the range of information presented was quite

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Education

Data Management | Internet of Things

Dylan JonesMay 5, 2016 0

IoT: How could your company benefit from real data accuracy?

We had just completed a four-week data quality assessment of an inside plant installation. It wasn't looking good. There were huge gaps in the data, particularly when we cross-referenced systems together. In theory, each system was meant to hold identical information of the plant equipment. But when we consolidated the

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Data Management

Jeff AlfordMay 4, 2016 0

One more ‘giant leap’: Four decades of cardiovascular research data now shareable

In 1969, a human walked on the moon. I remember my parents waking me in the wee hours to watch (albeit bleary eyed) the grainy images on our black and white television as Neil Armstrong set foot on the lunar surface. Heady stuff then and now. In another world-altering advancement,

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Data Management | Data Visualization

Mary OsborneMay 4, 2016 0

May the 4th be with you

Most folks who know me, know I'm a bit of a Star Wars geek. I've analyzed the original trilogy scripts and documented my findings in a paper called Star Wars and the Art of Data Science. I'm always looking for excuses to get my hands into Star Wars data, and

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Data Management | Internet of Things

Phil SimonMay 3, 2016 0

How will the IoT affect your data management strategy?

.@philsimon says that it's never too early to think about the IoT and data management.

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Data Management

Carmen GallagherMay 3, 2016 0

Three ways to monetise your data

There’s no such thing as a free app. “What?” I hear you say, “but I download free apps all the time!” So then why do organisations spend considerable time and effort creating free apps? Often their goal is to collect data and turn it into money. Consider this example. There’s

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Advanced Analytics | Analytics | Data Management

Sylvie FaucillonApril 27, 2016 0

Could text analytics be the cutting-edge technology the oil and gas industry was waiting for?

Small causes can have large effects; or how a discovery in the Barnett Shale can spike some interest in the rest of the world and change the face of the industry. This article is co-written by Sylvie Jacquet-Faucillon, Senior Analytics Presales Consultant, SAS France; and David Dozoul, Senior Adviser

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Energy & Utilities

Data Management

Georgia MarianiApril 27, 2016 0

How to partner with IT to build a dashboard for community college administrators

It's a common problem in any industry: getting a large number of similar requests for information. But with limited resources and an already overburdened staff, how do you handle it? At El Paso Community College, analysts from the Institutional Research (IR) team enlisted the help of IT to create a data

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Data Management | Internet of Things

David LoshinApril 27, 2016 0

Characteristics of IoT data quality

In my last post we started to look at two different Internet of Things (IoT) paradigms. The first only involved streaming automatically generated data from machines (such as sensor data). The second combined human-generated and machine-generated data, such as social media updates that are automatically augmented with geo-tag data by

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Data Management

Michael HerrmannApril 27, 2016 0

Taking the Man out of Daten-man-agement

These: Zum Daten-MAN-gen braucht man Software. Hat man mehr Daten, nimmt man mehr Software… „Mehr vom selben!“ – jener Kulturtechnik aus der Ecke „viel hilft viel“. Stimmt das so? Man kann dies‘ knifflige Thema von verschiedenen Seiten beleuchten – im Folgenden einige mehr oder minder ernste Ansätze dazu:

German

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

Phil SimonApril 25, 2016 0

Data gone awry, Part 2: What to do when your business data deceives you.

.@philsimon on what to do when the data breaks bad.

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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

Data Management | Internet of Things

David LoshinApril 20, 2016 0

The internet of things and the question of data quality

The concept of the internet of things (IoT) is used broadly to cover any organization of communication devices and methods, messages streaming from the device pool, data collected at a centralized point, and analysis used to exploit the combined data for business value. But this description hides the richness of

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Data Management

graphic designers at computer looking at data

Phil SimonApril 18, 2016 0

Data gone awry, Part 1: Will your business data deceive you?

.@philsimon on whether big data and analytics offer true guarantees.

English

Data Management | Internet of Things

Edward PhillipsApril 14, 2016 0

SAS® in the seat? Motorcycle racer goes streaming.

Some people think motorcycle racing is a sport for thrill seekers and adrenaline junkies. So you might be surprised to hear that after many years of racing, I’ve found it to be a contemplative activity more related to precision and prediction than reckless abandon. In motorcycle racing, the driver has

English

Data Management

Jim HarrisApril 11, 2016 0

Pushing data quality beyond boundaries

Throughout my long career of building and implementing data quality processes, I've consistently been told that data quality could not be implemented within data sources, because doing so would disrupt production systems. Therefore, source data was often copied to a central location – a staging area – where it was cleansed, transformed, unduplicated, restructured

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Data Management

soccer kid and common data quality issues

Matthew MagneApril 7, 2016 0

Can SAS Data Management get you to soccer on time?

A soccer fairy tale Imagine it's Soccer Saturday. You've got 10 kids and 10 loads of laundry – along with buried soccer jerseys – that you need to clean before the games begin. Oh, and you have two hours to do this. Fear not! You are a member of an advanced HOA

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Data Management

Joyce Norris-MontanariApril 6, 2016 0

Health insurance, healthcare and pharmaceutical perspective on data quality – Part 2

As I explained in Part 1 of this series, spelling my name wrong does bother me! However, life changes quickly at health insurance, healthcare and pharmaceutical companies. That said, taking unintegrated or cleansed data and propagating it to Hadoop may only help one issue. That would be the issue of getting the data

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Data Management

Jim HarrisApril 4, 2016 0

Which comes first, data quality or data analytics?

While it’s obvious that chickens hatch from eggs that were laid by other chickens, what’s less obvious is which came first – the chicken or the egg? This classic conundrum has long puzzled non-scientists and scientists alike. There are almost as many people on Team Chicken as there are on Team

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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

Joyce Norris-MontanariMarch 30, 2016 0

Health insurance, healthcare and pharmaceutical perspectives on data quality – Part 1

Does it upset you when you log onto your healthcare insurance portal and find that they spelled your name wrong, have your dependents listed incorrectly or your address is not correct? Well, it's definitely not a warm fuzzy feeling for me! After working for many years in the healthcare, pharmaceutical and

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Data Management

Dylan JonesMarch 28, 2016 0

"Real MDM" and the quest for long-term data quality improvement

I'm frequently asked: "What causes poor data quality?" There are, of course, many culprits: Lack of a data culture. Poor management attitude. Insufficient training. Incorrect reward structure. But there is one reason that is common to all organizations – poor data architecture.

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Analytics | Customer Intelligence | Data Management

Marcelo SukniMarch 28, 2016 0

El futuro de la analítica está en manos del científico de datos

Analistas y expertos en Big Data de todo el mundo coinciden en la importancia de potenciar el capital humano y desarrollar profesionales más preparados. Cada persona tiene aptitudes para realizar diversas actividades como natación, equitación, tenis o, incluso, destacar en el ámbito profesional ofreciendo mejores resultados en tareas determinadas. Ahora

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