The influx of companies trying to exploit “Big Data” as a new revenue source has provided a number of workforce challenges for senior managers. Do they hire very smart math folk to devise new algorithms and create a “secret sauce” for their products? Do they develop or acquire superiors hardware that leverages new Si technology to better process big data? Do they form teams that have practical business experience to ferret out which real problems exist in the marketplace and what approach to analytics will be truly appreciated by customers’ end users?
Well the answer is … a little of each! The most important thing many companies are missing today is that they focus on the technology and technologist in their hiring decisions but not the business logic experience. There is great value in having teams of technology folk embedded with thought leadership coming from experience. Bright, eager, smart people, with minimal experience know theory and math but don’t know human behavior in business. They also don’t have the understanding of the technology assimilation hurdles that form huge barriers to rapid adoption and market share growth. The targeted customer base will often need help understanding:
- How much data do we have?
- What is actionable information contained in the big data fog?
- How much information do we need to make decisions?
- What changes in data are significant and require action?
- What is a practical “on ramp” to use big data technology?
The bottom line is an integrated team of smart technologist stewarded through development with experienced thought leadership will result in the “BIG THEORY” required to make big data solutions palatable and easily digested by the human organism we call an enterprise. Where in reality, meaningful mobile visualization transforms BIG DATA into actionable information.