Analytics is becoming a competitive edge for organizations.
What is it about?
The use of analytics that include statistics is a skill that is gaining mainstream value due to the increasingly thinner margin for decision error. There is a requirement to gain insights, foresight and inferences from the treasure chest of raw transactional data (both internal and external) that many organizations now store (and will continue to store) in a digital format.
Why is it important?
Here is a useful way to differentiate business intelligence (BI) from analytics and decisions. Analytics simplify data to amplify its value. The power of analytics is to turn huge volumes of data into a much smaller amount of information and insight. BI mainly summarizes historical data typically in table reports and graphs as a means for queries and drill downs. But reports do not simplify data nor amplify its value. They simply package up the data so it can be consumed. In contrast to BI, decisions provide context for what to analyze. Work backwards with the end decision in mind. Identify the decisions that matter most to your organization and model what leads to making those decisions. By understanding the type of decision needed, then the type of analysis and its required source data can be defined.
The following have contributed to this page: Mr Gary Cokins
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