Businesses can only thrive successfully when all stakeholders are equally excited about data analysis as the analysts in the team. For an organisation to be data-driven, Analytics must permeate as a value within the organisation. Understanding data and using the results to drive business action is only a good idea.
It is a hotly discussed topic that, although IT aficionados are interested in supporting analytics, they simply do not understand to differentiate legitimate business needs from nice-to-haves, and are frustrated that data analysts don’t understand and appreciate the reasons behind IT practices. One of the most fundamental things that analysts need to do in their job are things like derive raw (not aggregated) data and adequate computing power. Forbes Contributor, Meta Brown simplifies the Data Mining process for all readers.
These phases are parts of an ongoing cycle of analytics activity, and the analytics team may work back and forth among these phases frequently.
IT has a tremendous role to play in each of the phases, some more than others. Here are some ways that IT can and should be involved within the Data Analytics framework of your organisation.
The information provided by IT professional guide analysts work within a framework that they can use to determine the kind of models that may or may not realistically be deployed in the business.