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Blogs

Data Management

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

Data Management

business meeting

Joyce Norris-MontanariFebruary 11, 2016 0

Risks to consider when developing a data strategy – Part 1

Creating a strategy for the data in an organization is not a straightforward task. Not only does our business change – our software solutions also change before we can ever get done with a data strategy. So, I choose to understand that a strategy has a vision, and my vision may change

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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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Data Management

business meeting

Jim HarrisFebruary 10, 2016 0

How often (and why) does your data strategy need to be updated?

In my previous post, I discussed the characteristics of a strong data strategy, the first of which was that a formal, well-defined strategy exists within your organization. This post discusses how often (and why) your organization’s data strategy needs to be updated. While strategy encompasses and sets the overall direction for

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Data Management

David LoshinFebruary 9, 2016 0

Proposing a business-oriented data strategy

In my two prior posts, I discussed the process of developing a business justification for a data strategy and for assessing an organization's level of maturity with key data management processes and operational procedures. The business justification phase can be used to speculate about the future state of data management required

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Data Management

Leo SadovyFebruary 9, 2016 0

Houston, We have a solution: Data Virtualization

Like most boys my age at that time, I wanted to be an astronaut. Fate, however, intervened, in the form of nearsightedness, so I had to find an alternative occupation. Coming to my rescue for the launch of Apollo 11 was my father, who presented me with a huge booklet that broke

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Data Management

Matthew MagneFebruary 8, 2016 0

Simplify, secure and speed data access with data virtualization

Data virtualization simplifies increasingly complex data architectures Every few months, another vendor claims one environment will replace all others. We know better. What usually happens is an elongated state of coexistence between traditional technology and the newer, sometimes disruptive one. Eventually, one technology sinks into obsolescence, but it usually takes much longer than we expect. Think of

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Data Management

reading in library

Lisa DodsonFebruary 5, 2016 0

About Love

Love includes a range of strong and positive emotional and mental states, from the highest virtue to the simplest pleasure. An example of such a wide range of meanings is the fact that the love of a mother is different from the love of a spouse, which, in turn, is

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Data Management

chain with broken link

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

business meeting

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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Data Management

contemplative man

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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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

IT guy questioning

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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Data Management

Business people discussing data strategy

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

stones represent load balancing and SLAs

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

strategy represented by ice hockey player

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

man with binoculars

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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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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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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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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Data Management

Chess: A game of strategy

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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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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Data Management

Financial charts on tablet

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

Library research

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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Data Management

Hands on globe, like teamwork

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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