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David Stodder

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TDWI Big Data Analytics Maturity Model

I am excited to join TDWI as the Research Director for Advanced Analytics. Of course, different people have different definitions for advanced analytics. Here’s how I define it. Advanced analytics provides algorithms for complex analysis of either structured or unstructured data. It includes sophisticated statistical models, machine learning, neural networks, text analytics and other advanced data mining techniques. Among its many use cases, it can be deployed to find patterns in data, prediction, optimization, forecasting, and stream mining. It typically does not include simple database query and reporting or OLAP cubes.  

Clearly, big data and advanced analytics are becoming increasingly interconnected. The development of big data analytics has been driven by scientific research, the needs of Internet giants, and the requirements of large multi-national companies. However, more and more, organizations are realizing that big data -- both in-house, or that they can obtain from external sources -- might provide very valuable insight. Until recently, though, it was difficult to glean insight from this data because of cost, infrastructure, algorithmic, and other issues. 

Many companies are interested in big data analytics but don’t know where to start. Others are early in their big data deployments and want to understand what they should be doing next. Therefore, one of the first projects I’m working on at TDWI is a Big Data Analytics Maturity Model. The maturity framework is divided into five categories, each with a series of subcategories and questions associated with those subcategories. For example, one category examines how organizational factors such as strategy, leadership, skills, funding, and culture play into your maturity in terms of big data analytics. Other categories examine factors related to infrastructure, data, analytics, and governance. All of this is related to best practices.

 

Since I just finished co-authoring Big Data for Dummies, this is a great project for me as I begin my career at TDWI. Please stay tuned!

 

Any thoughts, please let me know!

Posted by Fern Halper on February 6, 2013


Comments

Tue, Apr 23, 2013 rafael Brazil

Hi, I´m a Brazilian Reseracher and i would like to know more about your Big Data Analytics Maturity Model. I really like to use it in my research. I will wait for your response. Thanks for your attention

Tue, Mar 5, 2013

Great Article.

Thu, Feb 14, 2013 Rosanne Saccone San Francisco

Fern, Congratulations on joining the TDWI as Research Director -- really looking forward to hearing about your thoughts as you build out your big data analytics maturity model. Rosanne Saccone

Wed, Feb 13, 2013

Thank you

Wed, Feb 13, 2013 Bill White United States

As a retired CIO I would be willing to provide some input into the Maturity Model framework. I believe that many organizations are trapped in their past practices. Also, I am concerned that the universities may not be preparing students for the data analytics demand for the future. Regards, Bill White

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