Big data projects are positioned in the business press as good investments; however, Gartner reveals that 85% of Big Data projects fail. According to a Fortune Knowledge Group survey, these projects fail due to organizational resistance (e.g. executives’ reliance on instincts rather than data).
To ensure the success of big data/analytics projects, companies can rely on specialized consultants that bring know-how and experience regarding analytics tools and processes. This can allow companies to avoid typical mistakes; however, consultants bring an additional organizational layer with conflicts of interest. Therefore, it is important to be aware of analytics consulting best practices such an ensuring alignment between the business and consultant and relying on open-source tools to avoid vendor lock-in.