What is it about?
Today many business people do not really know what predictive modeling, forecasting, design of experiments or mathematical optimization mean or do, but over the next ten years, use of these powerful techniques will become mainstream, just as financial analysis and computers have, if businesses want to thrive in a highly competitive and regulated marketplace. Executives, managers and employee teams who do not understand, interpret and leverage these assets will be challenged to survive.
Featured Image
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.
Perspectives
Read the Original
This page is a summary of: Why Analytics Will Be the Next Competitive Edge, Journal of Corporate Accounting & Finance, April 2015, Wiley,
DOI: 10.1002/jcaf.22054.
You can read the full text:
Resources
Analytics and Financial Planning and Analysis (FP&A)
This video interview with Gary Cokins describes how analytics can be embedded into enterprise and corporate performance management (EPM/CPM) methods.
Are Analysts Primitive Homo Analysticus
This blog article by Gary Cokins describes the slow adoption rate of applying analytics in organizations and the adverse consequences from not applying them.
Contributors
The following have contributed to this page