Sunday, August 12, 2012

Strategic Importance of Business Analytics and Business Intelligence determines BI Mission

At the most strategic level, companies need to determine how important BI is to their ability to execute their business strategy and effectively compete.  We can refer to this as the strategic importance of BI, which then determines the appropriate mission for BI.


A Clear BI Mission Provides Context for Business Intelligence and Business Analytics Strategy

Consider the example of a hypothetical packaged food company that makes and distributes thousands of products to hundreds of retail customers who operate thousands of stores across the country, and who operate in different distribution channels.  Further, end-consumer demand patterns are not completely visible to the manufacturer, making it difficult to optimize inventory, replenishment, and customer service.  All these moving parts create a complex business environment generating an incredible amount of transactional data.  
Making sense of all this information, through business intelligence and business analytics becomes strategically important, which is a motivation for the company to achieve at least competitive parity via Stage 3 BI and analytics capabilities.  Taking advantage of available research about best practices BI for the food/CPG industry, this company could then focus its strategy on delivering business intelligence and business analytics such as:


  • Performance scorecards and dashboards
  • Trade spending analytics
  • Customer service analytics
  • Inventory analytics
  • Financial and cost analysis capabilities
  • Supply chain and operations analytics
  • Purchasing analytics


The link between strategic importance and business intelligence and business analytics strategy sets the stage for productive discussions within the executive suite.



A Clear BI Mission Builds Executive Buy-In and Momentum for Funding

Once executives understand how important business intelligence and business analytics are for successfully competing, and once they see that there is a rationale for a stated BI mission and strategy, they are much more likely to move beyond considering BI an “IT initiative” and embrace sponsorship. 
Absent a clear understanding of the strategic importance of BI, it is difficult to get business executives to move much past the lip service stage of BI – the stage where you hear such statements as “we know we need BI, but the time is not right.” Once they see that BI can make a difference in future profit streams, they are much more likely to fund BI at a level that is commensurate with its importance. 

Sunday, August 5, 2012

What is Business Analytics?


What is Business Analytics?

Simply put, business analytics – or “analytics” for short – is a term for data-based applications of quantitative analysis methods in use in businesses for decades. In the mid-1980s, I read “Quantitative Methods in Management,” which was written in 1977. There are dozens of books that apply various quantitative analysis, operations research and discrete mathematics methods to specific business domains, ranging from sophisticated customer segmentations and predictions of customer lifetime value to demand forecasting and supply chain optimization. So the field of analytics, per se, is not new. Rather, tried and true quantitative analysis methods have been implemented as packaged software applications that can be leveraged to build a wide range of company-specific analytical applications that address common business challenges.




Business Analytics and BI – What’s the Difference?

We define business intelligence as the use of business information (data) and business analyses to support business decisions in the context of core business processes that drive profit and performance.
BI has always been about analysis, and business analyses come in a wide range of types and uses, from simple analyses such as accounts receivable aging reports to the sophisticated anti-fraud analytics used by major credit card companies. Our focus for this article is on the BI subcategories advanced analytics and predictive analytics – which we will refer to as business analytics or analytics.


Business Analytics Opportunities

There are a large number of potential opportunities for leveraging analytics to create competitive advantage – and ultimately to drive profit improvement. Analytics can be used across organizations for such purposes as:

  • Customer segmentation.
  • Category management.
  • Risk analysis.
  • Inventory optimization.
  • Demand forecasting.
  • Sales trend analysis.
  • Statistical process control.
  • Cash flow forecasting.
  • Market analysis.

Business analytics are essentially a toolkit that sophisticated business analysts can use to glean insight regarding a wide range of business decisions in different parts of companies – all with a goal of increasing revenues, reducing costs or both. And while these opportunities are many, so are the potential pitfalls.

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