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On Febuary 22, 2012 Ann Winblad, a Silicon Valley titan indicated that “data is the new oil” and “predictive analytics is the next big thing”

Today, most organizations use business intelligence to understand what and why things happened in the past. Business imperatives are increasingly driving organizations to look forward and use their data to improve decision accuracy. This is the promise of predictive analytics, yet many organizations believe heavy statistical skill sets are required before taking on this next phase of business analytics. Guided wizards and other SPSS usability advances make predictive analytics available to a much broader group of BUSINESS USERS TODAY than most realize. Gartner’s CIO study for the past 3 out of 5 years rates business intelligence and analytics as the #1 priority. Said another way, those with predictive analytics skill sets will be in high demand for many years to come. Read more

Smarter business decisions and a large return on investment can be among the key benefits of a predictive analytics solution. But all solutions are not created equal.

That’s why it’s critical not to miss our complimentary IBM SPSS Data Mining Workshop hosted by the Ironside Group and IBM.  You will get hands-on experience with Modeler software to help you better understand the distinctive value of its easy-to-use, rapid-prototyping, predictive modeling capabilities. Read more

IBM SPSS offers a variety of integration options with other enterprise solutions, i.e., enterprise data warehouses, file systems, and business intelligence applications. In this article, we specifically focus on the integration with the IBM Cognos BI environment. As most of you are aware, IBM SPSS leverages the power of predictive analytics by allowing the user to examine the current state of their business, while at the same time providing a view of the future using advanced analytics techniques. With the use of the IBM Cognos BI integration point, the results are immediately available for IBM Cognos reporting, allowing for easy distribution to broad user communities.

In our previous article, we described the general workflow on how to import and export IBM Cognos packages from IBM SPSS Modeler. In this article, we will provide a simple case study using the standard IBM Cognos sample set to further illustrate the above mentioned integration.

Note:

-The integration is only available in IBM SPSS Modeler version 14.1 or higher.

-The supported IBM Cognos environments are version 8.4 and higher.

Providing Data to IBM SPSS from IBM Cognos

The IBM Cognos BI source node enables data miners to read data directly from IBM Cognos Framework Manager, including relational, dimensionally-modeled relational (DMR), and OLAP sourced packages.

In this case study, we select the Go Sales (query) package from IBM Cognos samples and use the following items from the query subject as our source data:

Go Sales (query)

  • Sales (query)

    • Sales

      • Revenue
    • Time

      • Year
      • Month Key
      • Month
      • Date

Before choosing a Framework Manager package to import the data, the user needs to establish a connection to the IBM Cognos server by providing the dispatcher URL and user credentials.

Conduct Data Mining Analysis in IBM SPSS Modeler

The source data we bring in from IBM Cognos contains revenue data for years 2004-2007. The objective of this study is to use advanced modeling techniques to discover trends behind the revenue data and predict future revenues. The following stream in IBM SPSS Modeler uses time series analysis to analyze the patterns in the monthly historical data and project those patterns to determine a range within which future values of the series are likely to fall.

 

 

 

In this example, we extend the forecast of the expected revenue to the next four time periods. The following output from IBM SPSS is a time series graph and shows the predicted (green line) vs. actual (blue line) revenue for each month between Jan, 2004 – Jul, 2007 and the projected revenue for Aug – Nov 2007.

 

 

 

 

Exporting IBM SPSS Predictive Results into IBM Cognos BI

The end results from an IBM SPSS Modeler stream can be exported back to the IBM Cognos BI environment, including both the transformed and scored data based on predictive modeling. In this case study, we will export the scored dataset of time series analysis into a database table called “Predicted_Sales” and generate an IBM Cognos package on the Cognos server reflecting the new database table.

Once the export is complete, we could use IBM Cognos Report Studio to create a visual report based on the exported data, including the predictions and confidence interval values for consumption by a broad user base.

 

 

 

 

 

 

 

 

Through this case study, we showcase how a user can combine the predictive analytic capabilities of IBM SPSS Modeler with business intelligence features of IBM Cognos BI. For any additional questions regarding the integration and its implementation, please contact us at the Ironside Group.

 

 

As of April 2012, Ironside Group is authorized to resell all Netezza products, including new appliances, annual subscriptions, and support. This enables Ironside to continue to deliver world-class IBM Business Intelligence, Performance Management and Predictive Analytics solutions that work hand-in-hand with Netezza appliances, which will increase performance and decrease costs for customers.

Netezza, an IBM company, offers data warehouse appliances that simplify and change the way organizations leverage analytics by combining processing, storage, and analytics into a single system that can deliver 10 to 100 times better performance than a traditional data warehouse. Netezza’s total cost of ownership is roughly one-third the cost of most other traditional approaches, which makes owning a Netezza box rewarding from both a financial and performance perspective. Read more

SPSS Predictive AnalyticsIBM Business Analytics software is designed to deliver complete, insightful, and accurate information for decision makers to make more effective decisions. As part of this portfolio, IBM SPSS Predictive Analytics software specializes in predictive analytics which organizations can rely on to predict future outcomes based on patterns found in historical data. Organizations in almost all industries of every size can benefit from the IBM SPSS technology to provide clear and actionable insight into current performance as well as use the information to drive better outcomes for future business. While Business Intelligence can help to monitor the current and past performance of the business operation, Predictive Analytics can answer questions on why the business is performing in a certain manner and how it can be improved in the future. Read more