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Lyndsay Wise

Hi and welcome to my blog! I look forward to bringing you weekly posts about what is happening in the world of BI, CDI and marketing performance management.

About the author >

Lyndsay is the President and Founder of WiseAnalytics, an independent analyst firm specializing in business intelligence, master data management and unstructured data. For†more than†seven years, she has assisted clients in business systems analysis, software selection and implementation of enterprise applications. Lyndsay conducts regular research studies, consults, writes articles and speaks about improving the value of business intelligence within organizations. She can be reached at lwise@wiseanalytics.com.

Editor's Note: More articles and resources†are available in Lyndsay's BeyeNETWORK†Expert†Channel. Be sure to visit today!

Last week while teaching a course at TDWI in Boston about how to achieve both Agile and Self-Service BI, I asked how many people are involved in a Big Data project or are considering one. Out of the 50 attendees, only 3 raised their hands. When exploring this further, many organizations didn’t feel they had big data challenges. And despite all of the industry hype about managing data within big data platforms, the reality is that plenty of businesses are run without large and complex data sets. If these organizations are not integrating diverse data and analyzing complex and varied data sets then the effort of big data may outweigh the benefits. Consequently, for organizations deciding whether big data will benefit them, some of the reasons organizations are looking at big data adoption include:

  • trying to understand the voice of the customer more broadly by integrating social data, location intelligence, external sources, and broader demographics data
  • looking at ways to better manage large data volumes, with big data platforms providing a less expensive way to store and manage distributed data¬†
  • the inability to get a full picture of the business due to siloed data
  • attempting to manage real-time data delivery and decipher information complexities that tax traditional BI systems

The reality for some organizations, especially SMBs, is that their struggles may not be on this level and that what they are currently using works. At the same time, as BI technologies advance, traditional BI infrastructures need to be evaluated to make sure that it is still possible to keep up with industry trends and apply relevant use cases within the confines of these technologies. Because storage is becoming less expensive and due to the fact that solutions can meet the needs of a variety of challenges, big data platforms will probably become more widely used, even for organizations without “big data” problems. The simple reason being that the open source platforms these solutions are based on can be leveraged as large data stores, for analytics, or to manage unstructured content – all of which will become more relevant as organizations place more importance on leveraging different types of information assets and BI related technologies.

So the bottom line is that the answer to the question is yes, no, and it depends…

This post was written as part of the¬†IBM for Midsize Business¬†program, which provides midsize businesses with the tools, expertise and solutions they need to become engines of a smarter planet. I‚Äôve been compensated to contribute to this program, but the opinions expressed in this post are my own and don’t necessarily represent IBM’s positions, strategies or opinions.

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Posted October 30, 2013 3:06 PM
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