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SPSS Announces Clementine 10 Release
By DAVID SIMS
TMCnet CRM Alert Columnist
SPSS Inc., a vendor of predictive analytics software, is announcing its new data mining workbench, Clementine 10, that it claims will "provide a substantial boost for customer relations management, marketing, fraud detection and revenue assurance applications."
SPSS says it has specifically upgraded the product's fraud detection and revenue assurance capabilities to improve its "anomaly detection." Evidently this feature is meant to allow revenue departments to improve tax compliance more quickly and in a more systematic way.
Analytical CRM and marketing applications, such as customer acquisition, cross-/up-selling and customer retention, are "enhanced," the company claims, through Clementine 10's "feature selection."
The company could use some good news -- its stock was downgraded by analyst firm Robert W. Baird this past week from "Outperform" to "Neutral." No specific reason was given for the move.
Still it does have its fans. One of Australia's largest direct mail marketing services providers, Virid, claims it's achieved "200 percent campaign profitability in one year using SPSS for marketing campaign optimization," according to Virid officials, who say "SPSS' software has also enabled Virid to reduce mail costs by 50 percent." And when you're sending out 28 million pieces per year, as Virid does, you want pretty effective tools for ensuring its efficiency.
Clementine 10 is engineered to allow data mining applications to be managed and processes automated at an enterprise level, providing results in a secure, auditable environment, through the addition of SPSS Predictive Enterprise Services.
The new anomaly detection algorithm, the fine print says, is supposed to simplify both analysis and scoring, helping data miners uncover unusual events or behavior, which would be "of particular importance to organizations involved in fraud detection, revenue assurance, tax compliance, medical research and public safety," the company asserts.
Also, the product's new feature selection capabilities "enable data miners to quickly identify the most- and least-important data attributes for a given analysis, simplifying predictive modeling in CRM and marketing applications." Analysts can also rank and filter attributes in several different ways for improved focus in model building.
Users can export data to Microsoft Excel directly from the Clementine interface and, when importing data from Excel, can specify worksheets and data ranges.
Company officials say Clementine 10 also provides "in-database caching, database write-back with indexing, and optimized merging for joining tables outside of the database." It also enables organizations with multiple CPUs or multi-core CPUs in their operating environment to use parallel processing during a number of data pre-processing and model building operations.
David Sims is contributing editor for TMCnet. For more articles please visit David Sims' columnist page.
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