The Predictive Enterprise

PDF Download free Adobe Acrobat Reader.

Data mining and predictive analytics represent a paradigm shift in business analysis. Information Builders and SPSS make it easier for every organization to direct and automate decisions, surpass goals, and push into new directions to achieve greater revenue and customer satisfaction.

The predictive enterprise is able to:

	Understand where your organization is by looking at the past and the future
	Gain both insight and foresight
	Plan improvements that affect revenue, costs, and/or other outcomes
	Test and deploy those improvements
	Measure the results

The reporting power of Information Builders enables executives to participate directly in predictive analytics without having to engage data mining experts to prepare information for them. Information can be viewed in a variety of formats – Web, Excel, PDF, maps – and distributed to your extended enterprise to aid in decision making.

To have meaning, performance and activities must be assigned metrics and targets. These metrics can then be continually monitored via dashboards configured to specific organizational roles. Managers get a dashboard that presents their rolled-up responsibilities and can drill down on individuals, where employees see only their designated territory and can drill down on specific incidents and opportunities.

The City of Richmond (VA) Police Department efficiently accesses their record management system, extracting meaningful insight to expedite investigations and ensure public safety. Investigators map the locations of crimes to reveal patterns, and then anticipate where the next crime is likely to occur so they can deploy additional officers where they are most needed.

The benefit of all this is that they can:

	Predict the likelihood of a particular crime occurring in a certain geographic zone, on a particular date, and during a specific shift or weather pattern
	Analyze criminal offender databases to identify a correlation between similar types of crimes
	Accelerate the criminal investigation process by quickly sifting through large datasets to generate investigative lead information

Analytical technologies, such as predictive forecasting and data mining, have been used in business-to-consumer (B2C) organizations for years. Here are some ways you can equip your organization with insight that enables more informed decision-making:

	Maximize customer value, minimize risk in every interaction through every channel
	Track customer churn, refine marketing campaigns, monitor the sales process, and refine their engagements to achieve greater revenue streams
	View supply chains, refine production output based on sales trends, and move inventory depending on sales

Strategically, predictive analytics provides a quantitative foundation for rapidly identifying, objectively evaluating, and confidently pursuing new market opportunities. Tactically, predictive analytics identifies precisely whom to target, how to reach them, when to make contact, and what messages should be communicated.

Information Builders and SPSS deliver on the promise of predictive analytics. Organizations can leverage all the data and applications within their enterprise to deliver information, analysis, and trends – in real time throughout the extended enterprise. Now your management, employees, partners, and customers can gain critical insight into people's actions, attributes, and attitudes to increase revenue, reduce costs, improve processes, and prevent criminal or fraudulent activity.