Data Management

Dylan JonesFebruary 4, 2016 0

The missing link in your data strategy – Part 2

In my last post, we touched on the importance of data migration in an overall data strategy. The reason I wanted to do this is because so many organizations see the migration of data as a technical challenge that can be outsourced and largely ignored by their internal teams. I contend

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Data Management

David LoshinFebruary 3, 2016 0

Assessing your data management capabilities

In my last post, I discussed some practical steps you can take to collect the right information for justifying why your business should design and implement a data strategy. Having identified weaknesses in your environment that could impede business success, your next step is to drill down deeper to determine where there may be

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English

Data Management

Jim HarrisFebruary 2, 2016 0

Top 5 characteristics of a strong data strategy

With data now impacting nearly every business activity, there should no longer be any doubt that data needs to be managed as a strategic corporate asset. This post examines the top five characteristics of a strong data strategy. Existence As I previously blogged, in today’s fast-moving business world now often takes priority

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Data Management

Joyce Norris-MontanariFebruary 1, 2016 0

Who owns the enterprise data? Part 2: Business

While setting up meetings with business consumers developing a data warehouse environment, I was involved in some very interesting conversations. Following are some of the assumptions that were made during these conversations, as well as a few observations. To get a well-rounded view of this topic, read my earlier post that focuses on the IT perspective.

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Data Management

Phil SimonJanuary 28, 2016 0

Where does Hadoop fit into an effective data strategy?

.@philsimon on the convergence between tools such as Hadoop and strategy.

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English

Data Management

David LoshinJanuary 27, 2016 0

Business motivations for the data strategy

People often seek out our company for guidance related to master data management, data governance and data quality. But I see a frequent pattern, where the customer presumes that they need a particular data management solution – even if there is no specific data management problem. This approach is often triggered in reaction

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Data Management

Joyce Norris-MontanariJanuary 25, 2016 0

Who owns the enterprise data? Part 1: IT

The other day I was in a meeting with a client and there was an argument about who owns the data. Those arguing were IT people. In this scenario, the assumption was that data from source systems would flow into and integrate with a data warehouse. I found the discussion very interesting. Here are some of the

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English

Data Management

Phil SimonJanuary 20, 2016 0

Can an effective data strategy help an organization build a sustainable competitive advantage?

.@philsimon provides insights on whether a data strategy can result in competitive advantage.

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Data Management

Farzana KaderJanuary 19, 2016 0

SAS Grid Manager for Hadoop nicely tied into YARN (Part 2)

In Part 1 of this series, Cheryl Doninger described how SAS Grid Manager can extend your investment in the Hadoop infrastructure. In this post, we’ll take a look at how Cloudera Manager helps Hadoop administrators meet competing service level agreements (SLAs). Cloudera Manager lets Hadoop admins set up queues to

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Data Management

Dylan JonesJanuary 18, 2016 0

The missing link in your data strategy – Part 1

"I skate to where the puck is going to be, not where it has been." -  Wayne Gretzky I love this quote from Wayne Gretzky. It sums up how most organizations approach data strategy. Data strategy typically starts with a strategic plan laid down by the board. The CEO will

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Data Management

Jeff StanderJanuary 14, 2016 0

Data strategy: Why a single, integrated view of metadata is so important

It’s obvious that an enterprise data strategy involves data – but we sometimes disregard the fact that it should also involve metadata. Why? Because it’s key to unlocking the value of data. Metadata shows you what data is available and how people can use it. It also reveals which data

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Data Management

SAS ColombiaJanuary 14, 2016 0

Las estrategias de Data Management como apoyo a lineamientos corporativos

Si se ha preguntado ¿los datos de la organización pueden contribuir al desarrollo de los lineamientos corporativos? La respuesta es sí: implementando una estrategia de Data Management. Para desarrollar y ejecutar una eficiente estrategia de Datos que esté alineada a sus objetivos de negocio, lo invitamos a seguir las siguientes recomendaciones:

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Spanish

Data Management

Phil SimonJanuary 12, 2016 0

What does an effective data strategy look like?

.@philsimon on the need to play offense and defense with your organization's data.

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English

Data Management

Matthew MagneJanuary 11, 2016 0

Self-service data preparation transforms data professionals into data rock stars

When my band first started and was in need of a sound system, we bought a pair of cheap yet indestructible Peavey speakers, some Radio Shack microphones and a power mixer. The result? We sounded awful and often split our ear drums from high-pitched feedback and raw, untrained vocals. It took us years

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Data Management | Internet of Things

Bryan SaundersJanuary 6, 2016 0

What lies beneath the math matters

Has analytics become just a buzzword, the hype du jour? It’s great that analytics are now cool, but few people have taken then time to understand what analytics really are and how they can help solve their business problems. Last month at the the 30th Annual International Maintenance Conference, I

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Manufacturing

Data Management

Alex BarnesJanuary 6, 2016 0

The price is right: Four steps to better pricing decisions

It’s hard to believe that another year is over. 2015 is behind us; 2016 is ahead. As I looked back over this year, I recalled starting last year at the National Retail Federation Big Show. I presented in the SAS booth on “Optimizing Pricing Decisions.” The presentation was simple and used the concept of

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Retail

Data Management

Phil SimonJanuary 5, 2016 0

Do organizations need to adopt formal data strategies?

.@philsimon begins a four-part series on the need for a proper data strategy.

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English

Data Management

Jim HarrisJanuary 4, 2016 0

As the calendar turns – Part 2

In this two-part series, which posts as the calendar turns to a new year, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2016 The Internet of Things (IoT) made significant

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Data Management

Jim HarrisDecember 30, 2015 0

As the calendar turns – Part 1

In this two-part series, which posts as the calendar prepares to turn 2015 into 2016, I revisit the top data management topics of 2015 (Part 1) and then try to predict a few of the data management trends of 2016 (Part 2). Data management in 2015 Big data continued to make

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English

Data Management

David LoshinDecember 29, 2015 0

Agility in data availability

In my recent posts, I've been exploring the issues of integrating data that originates from beyond the organization. But this post looks at a different facet of extra-enterprise data management: data availability. In many organizations, there's a growing trend of making internal analytical data accessible to external consumers. I can

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Data Management

Joyce Norris-MontanariDecember 28, 2015 0

Beyond the boundaries of structured data: Part two

How many times have you gone onto a website, put a few things in a shopping cart, and then exited the Internet? I do it all the time. Sometimes when I log on to that site during my next visit, those same items are still in my cart – ready for purchase. I find

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Data Management

Jeff StanderDecember 23, 2015 0

Managing data beyond boundaries: Third-party metadata collection

Jeff Stander passes along some of the lessons he's learned about third-party metadata collection.

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English

Data Management

David LoshinDecember 22, 2015 0

Agility in external data ingestion

In two previous posts (Part 1 and Part 2), I explored some of the challenges of managing data beyond enterprise boundaries. These posts focused on issues around managing and governing extra-enterprise data. Let’s focus a bit on one specific challenge now – satisfying the need for business users to rapidly ingest new data sources. Sophisticated business

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Data Management

Patrick HomerDecember 22, 2015 0

The analytics-driven marketing evolution in life sciences

PharmaVOICE recently published an article: Analytics Driven Marketing for the pharmaceutical industry and I was fortunate enough to be interviewed. The article discusses the increased use of advanced analytics to make better marketing decisions, the progress that has been made and the challenges that still need to be overcome. Within

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Data Management

Joyce Norris-MontanariDecember 21, 2015 0

Beyond the boundaries of structured data: Part one

Most people have logged on to a social media site, maybe to look up an old friend, acquaintance or family member. Some people play games, or post funny pictures or other information they want to share with everyone. Do you ever ask yourself what happens with this information? What if your business wanted to purchase this information and

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Data Management

Helmut PlinkeDecember 17, 2015 0

Regulatory requirements drove new data quality projects in 2015

In 2014, big data was on everyone’s mind. So in 2015, I expected to see data quality initiatives make a major shift toward big data. But I was surprised by a completely new requirement for data quality, which proves that the world is not all about big data – not

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English

Data Management | Programming Tips

Mary Kathryn QueenDecember 16, 2015 0

Matching Names: How to Avoid a Common Mistake

Sometimes when trying to fuzzy match names you want to fuzzy match just a portion of the name: for example, Family Name and/or Given Name.  A common mistake that people make is to feed in the Family Name and Given Name columns separately into the Match Codes node instead of

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Data Management

Ralf StorchDecember 16, 2015 0

Bube, Dame, König, Ass - Man könnte auch pokern (Excel reicht nicht)

Bube, Dame, König, Ass oder die vier unterschiedlichen Arten von Anwendern die man in Datenmanagementprojekten überzeugen muss. Bube, Dame, König, Ass - Man könnte auch pokern (Excel reicht nicht).

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German

Data Management

Joyce Norris-MontanariDecember 16, 2015 0

Will Hadoop replace the data warehouse?

Twenty-five years ago (when I was 12 years old), we realized that data, across the corporation, was not integrated. Nor did our data let us predict the future by looking at the past. So we started creating these stores of historical data soon to be called “data warehouse.” Here are

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English

Data Management

Dylan JonesDecember 15, 2015 0

How to communicate the role of data governance

Confusion is one of the big challenges companies experience when defining the data governance function – particularly among the technical community. I recently came across a profile on LinkedIn for a senior data governance practitioner at an insurance firm. His profile typified this challenge. He cited his duties as: Responsible for the collection

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English