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Oracle intros healthcare data warehousing

By Leigh-Ann Francis
Johannesburg, 05 Mar 2010

Oracle intros healthcare data warehousing

Oracle has introduced an enterprise analytics data model for healthcare; the Oracle Healthcare Data Warehouse Foundation, reports Information Management.

Designed to help providers establish a thorough view of their enterprise, the release integrates data from electronic medical records, clinical departmental systems, patient accounting, research and other source systems, according to the company release.

Its foundation is designed to incorporate pre-built business intelligence (BI), analytic, data mining and performance management applications from Oracle and its partners.

SAP delivers SME BI

SAP has debuted its Business One application for small to medium enterprises (SMEs), adding reporting capabilities based on SAP's BI technology and enhanced network connectivity, states Channel Web.

SAP unveiled Business One 8.8 at the CeBIT trade fair in Hannover, Germany. The product, which is largely sold through SAP's channel partners, will be generally available by the end of April.

Vision33 vice-president Alex Rooney says embedding Crystal Reports in Business One to expand its BI capabilities is a major boost for the software, while its new interface will make it easier to use.

Analytics to tackle fraud

SAS is pushing 'text mining' technology and social network analysis to help the government tackle fraud, terrorism and national security threats, while leveraging private clouds to cut licensing costs in the enterprise market, writes Bangkok Post.

Challenges identified by the government include tackling national security issues, especially the monitoring of Web sites containing inappropriate content about the monarchy, and money-laundering for terrorism. These problems could be solved with business analytics, according to Taveesak Saengthong, managing director SAS Software.

'Text mining' technology would be a more efficient way to monitor Web sites as it would use an engine to scan for keywords rather than having staff manually read Web sites. This would not violate data privacy because it would only be applied to public Web sites.

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