TDWI Launches Big Data Maturity Model Assessment Tool
Online assessment and downloadable assessment guide enable organizations to determine the maturity of their big data analytics program; guide offers best practices for moving to the next level.
SEATTLE, WA, November 20, 2013—TDWI introduced today a big data maturity online assessment tool that enables organizations to objectively measure the maturity of an enterprise’s big data analytics program across five dimensions that are key to deriving value from big data analytics: organization, infrastructure, data management, analytics, and governance.
After completing the more than 75 assessment questions online, a user receives a score that evaluates where the organization is along its big data path: nascent, pre-adoption, early adoption, corporate adoption, and mature/visionary. As organizations progress through these five stages, they gain more value from their big data investments.
Questions in the online tool are weighted differently depending on their relative importance to an enterprise’s maturity. Because organizations can be at different maturity levels in each of these five dimensions, the tool scores each section separately and provides an overall score. Additional questions, although not scored, are used for best practices guidance.
The first section of the associated “companion” assessment guide provides an overview of each of the five stages and offers context for interpreting the user’s scores. The second section helps organizations evaluate their benchmark scores and provides best practices to help an enterprise move to the next stage.
“Most people have heard of the big data phenomenon,” said Krish Krishnan, co-author of the assessment guide and a noted big data analytics expert. “The TDWI Big Data Maturity Model gives companies a tool for assessing their current state, as well as an actionable roadmap for growing their big data initiatives over time.”
“The amount of time that users spend in the early adoption phase is often longer than the other phases,” added Fern Halper, director of TDWI Research for advance analytics and co-author of the assessment guide. ”Though the stages of the maturity model may appear to be discrete, the reality is that companies don’t necessarily move from one stage to the next in such a clean fashion. For example, an organization might be advanced in one aspect of big data, such as its infrastructure, but relatively immature in its management strategy,” Halper said.
The guide also maps out the stages of maturity:
- Nascent, which represents a pre–big data environment; most companies here are exploring the concept of analytics but have not yet started to explore advanced analytics
- Pre-adoption, during which an organization starts to “do its homework” regarding big data analytics; organizations may have invested in new technology, such as Hadoop, in preparation for big data initiatives
- Early adoption, when one or two proofs of concept may be ready for production; organizations tend to spend a long time in this stage before crossing the chasm to corporatewide adoption of big data analytics
- Corporate adoption, the major crossover phase in the big data journey, during which end users get involved, gain insights, and transform how they do business
- Mature/visionary, in which organizations are executing big data programs as a well-oiled machine using highly tuned infrastructure with a well-established program and data governance strategies; only a few enterprises make it to this stage
The development of the TDWI Big Data Maturity Model Guide was sponsored by Cloudera, IBM, MarkLogic and Pentaho. Users can take the online assessment anonymously and without charge at http://tdwi.org/BDMM.
TDWI, a division of 1105 Media, Inc., is the premier provider of in-depth, high-quality education and research in the business intelligence and data warehousing industry. TDWI is dedicated to educating business and information technology professionals about the best practices, strategies, techniques, and tools required to successfully design, build, maintain, and enhance business intelligence and data warehousing solutions. TDWI also fosters the advancement of business intelligence and data warehousing research and contributes to knowledge transfer and the professional development of its members. TDWI offers a worldwide membership program, five major educational conferences, topical educational seminars, role-based training, on-site courses, certiﬁcation, solution provider partnerships, an awards program for best practices, live Webinars, resourceful publications, and an in-depth research program. For more information, visit tdwi.org or follow us on Twitter @TDWI.
About 1105 Media
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Scott R. Humphrey
Humphrey Strategic Communications