Big Data is critical to business success, but many projects to implement it stall or remain incomplete. In order to successfully implement Big Data in a company, businesses must first integrate it to company culture.
Big Data is a major topic for decisions makers. 81 percent of CIOs list “Big Data/Advanced Analytics Projects” in their Top 5 2013 IT priorities*. However, less than half of Big Data projects get actually completed in US companies - and that excludes the projects that do not implement all objectives. As the ability to gain insights from huge amounts of information becomes more central to business strategizing, creating a culture that supports these projects will become more vital. A report from Infochimps and SSWUG.org,“CIOs & Big Data”shows how enterprise technology and enterprise culture must be integrated as never before to productively incorporate Big Data and remain competitive.
A communication problem between CIOs and the IT staff
Central to this integration is reconciling the disconnect between overall project vision and those whose role is to implement it - communication must improve between CIOs or managers and IT staff. And indeed, the lack of dialogue between higher level technical staff and IT departments would appear to be an issue for enterprises. Since this is a relatively new business tool, many companies are faced with a talent gap, where they must educate and understand platforms and other Big Data project challenges before starting. The top reasons that these projects fail are “Lack of Business Context Around the Data” and “Lack of Expertise to Connect the Dots.”
Effective Big Data implementation insight is available from IT staff
On the other hand, IT staff offer an “invaluable perspective” when it comes to the process of developing technology projects, according to Infochimps CEO Jim Kaskade. This perspective can give CIOs indication of where they should invest. For instance, the study show that IT staff prefer to focus on front-end difficulties such as processing, analyzing and ongoing management of Big Data, rather than back-end issues. While many companies initially want to develop their own infrastructure, it can drain so much time and resrouces that 61 percent of respondent are actually willing to consider managed remote solutions. These findings show how important it is to realistically approach Big Data and know what to outsource and what to do in-house.
*CIOs & Big Data, Infochimps and SSWUG.org, 2013