The data analytics industry is still in its infancy when compared with other existing industries. There have been roles, such as I.T. positions, associated with data analytics for quite some time, and with the advent of large data sets that can often be difficult to mesh, newer and more specific roles have come into play. These roles are facing fresh industry challenges brought about by these larger and more disparate data sets; one example here would be the integration of silo mentality departments into the greater whole. There are several other wider issues that center around data analysis, and we are going to discuss three of those here.

  • Amount of Data. Consider the flow of a retail organization, such as a supermarket chain; you can imagine the sheer volume of information that flows through these establishments on even a minute-to-minute basis. Capturing this data quickly and getting it into the funnels designed for its analyzation will be of primary concern. An integration expert will stay on top of the flow of real-time data that a business receives.
  • Communication. The implementation of results, the use of all refined data, and the practical application are probably going to end up with a non-data aware person, and a language barrier is to be expected. This challenge will need to be overcome by simplifying and explaining the end result in practical terms. Representing your data in an easy, readable format will be helpful to everyone handling it, and if a visually attractive manner is employed, such as graphs or tables, it can make the process much less painful for those who aren’t as familiar with data and its analytics.
  • Scalability. The scalability of the applications is a major consideration and challenge. The volume of data is increasing daily in most industries, and because there exist multiple layers between databases and front-ends, the data traversal can take time. To overcome this challenge, businesses need to organize the architecture and technology of the application to reduce performance issues and enhance scalability.

Here at Think Data Insights, our experts develop solutions to the challenges of accommodating very large and complex data environments. We are inundated with data today, and leveraging data as an asset is of vital importance. The result of data analytics and information delivery shouldn’t just be pretty charts and reports, but insights. These insights drive business change. The TDI team enjoys seeing data insights create huge impacts on organizations, and we have the experience to exceed your business expectations.