Old Mutual Insure, South Africa's Oldest Non-Life Insurer, Selects Sapiens for Complete Data and Analytics Solution
Sapiens' end-to-end solution will fulfil all of Old Mutual's business, analytical and regulatory data needs
"We were looking for an enterprise-level data platform with native connectivity to our existing systems, and Sapiens Intelligence was a perfect fit," said
Sapiens Intelligence has a complete and optimized insurance information hub, integrating all business units and product lines into one unified and consistent organizational view.
"
Sapiens Intelligence enriches processes with model outcome and predictions, optimizing the insurer's performance – driving cost reduction as well as improving customer experience.
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Forward Looking Statements
Certain matters discussed in this press release that are incorporated herein by reference are forward-looking statements within the meaning of Section 27A of the Securities Act, Section 21E of the Exchange Act and the safe harbor provisions of the
While we believe such forward-looking statements are based on reasonable assumptions, should one or more of the underlying assumptions prove incorrect, or these risks or uncertainties materialize, our actual results may differ materially from those expressed or implied by the forward-looking statements. Please read the risks discussed under the heading "Risk Factors" in our most recent Annual Report on Form 20-F, in order to review conditions that we believe could cause actual results to differ materially from those contemplated by the forward-looking statements. You should not rely upon forward-looking statements as predictions of future events. Although we believe that the expectations reflected in the forward-looking statements are reasonable, we cannot guarantee that future results, levels of activity, performance and events and circumstances reflected in the forward-looking statements will be achieved or will occur. Except as required by law, we undertake no obligation to update publicly any forward-looking statements for any reason, to conform these statements to actual results or to changes in our expectations.
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