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Data Management

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

Data Management

Dylan JonesMarch 9, 2016 0

Data governance is nothing without data quality

When you spend long enough writing and working in any industry, you inevitably see trends emerge and reach varying levels of maturity. Data governance is one such trend, as you can see from the following Google Trends chart:

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Data Management | Programming Tips

Nicolas RobertMarch 7, 2016 0

Data Governance Series: Share DataFlux Data Quality profiling metrics in SAS Visual Analytics (Part 2)

In this post, I continue the journey of getting data profiling results into SAS Visual Analytics. In my first blog I described the process of collecting DataFlux Data Quality profiling metrics to load a datamart. Now we load this datamart into memory (LASR) and then plug a VA report on

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Data Management

two people looking at data quality mistakes

Phil SimonMarch 7, 2016 0

Top 5 data quality mistakes organizations make

.@philsimon lists the gravest data-quality errors.

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Data Management

David LoshinMarch 3, 2016 0

Big data quality with continuations

I've been doing some investigation into Apache Spark, and I'm particularly intrigued by the concept of the resilient distributed dataset, or RDD. According to the Apache Spark website, an RDD is “a fault-tolerant collection of elements that can be operated on in parallel.” Two aspects of the RDD are particularly

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Analytics | Data Management

Sandra HernandezMarch 2, 2016 0

¿Cómo gestionar sus datos para alcanzar sus objetivos de negocio?

¿Cómo las empresas pueden gestionar adecuadamente su gran volumen de información? ¿Están los datos de su organización listos para convertirse en la clave para alcanzar sus objetivos empresariales? ¿Cómo tomar las mejores decisiones a partir de la analítica? No cabe duda, en un mundo cada vez más conectado el Big

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Data Management

Jim HarrisFebruary 29, 2016 0

How big of a deal is big data quality?

Data quality has always been relative and variable, meaning data quality is relative to a particular business use and can vary by user. Data of sufficient quality for one business use may be insufficient for other business uses, and data considered good by one user may be considered bad by others.

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Data Management

Dylan JonesFebruary 23, 2016 0

Scaling a vision for data quality

I recently presented a webinar (via the IAIDQ) on the topic of 7 Habits of Effective Data Quality Leaders. To prepare, I looked back at the many interviews of leading data quality practitioners I had undertaken over the years. A common trait among all these interviews stood out – they

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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

Michael HerrmannFebruary 19, 2016 0

Banken-Daten-Management: Mehr Schein als Sein?

Aktuell sprechen wir mit vielen Banken über das Management ihrer Daten. Historisch schien die Bereitstellung von Information hinlänglich gelöst: Die IT-Abteilungen stellten diverse Mart-Daten & Analyse-Tools bereit. Punkt. Banken-Daten-Management: Mehr Schein als Sein?

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Data Management

Phil SimonFebruary 18, 2016 0

Who's in charge of data quality?

.@philsimon chimes in on this pivotal question.

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Data Management

Joyce Norris-MontanariFebruary 17, 2016 0

Risks to consider when developing a data strategy – Part 2

As I explained in Part 1 of this series, creating a strategy for the data in an organization is not a straightforward task. Two of the most important issues you'll want to address in your data strategy are data quality and big data. Data quality There can be no data that is

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Data Management | Programming Tips

Mary Kathryn QueenFebruary 17, 2016 0

DataFlux Data Management Server 2.7: REST APIs

REpresentational State Transfer (REST) is an architectural style for designing web services that access a system's resources using HTTP methods. With the release of DataFlux Data Management 2.7 earlier this year, three new REST Application Programming Interfaces (APIs) are now available: Data Management Server Batch Jobs Data Management Server Real-time

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Data Management

Carlos LaraFebruary 12, 2016 0

Finding the balance between short- and long-term big data storage

Back before storage became so affordable, cost was the primary factor in determining what data an IT department would store. As George Dyson (author and historian of technology) says, “Big data is what happened when the cost of storing information became less than the cost of making the decision to

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Data Management

Stuart RoseFebruary 12, 2016 0

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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Data Management | Programming Tips

Nicolas RobertFebruary 11, 2016 0

Data Governance Series: Share DataFlux Data Quality profiling metrics in SAS Visual Analytics

This is my first blog post, and the first of a long series around Data Governance. The first thing I want to discuss is the ability to Share DataFlux Data Quality profiling metrics in SAS Visual Analytics. This post will illustrate how to extract profiling data from the DataFlux repository

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Data Management

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

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

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

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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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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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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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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