Açoreana Seguros elects SAS® Data Quality to know its customers
Gaining a strong foothold in new market segments within an industry as competitive as insurance requires customer data that is always accurate and up to date. For Açoreana Seguros, that means being able to control and automatically define data insertion rules and respective storage permissions. Using the SASWith SAS, Açoreana Seguros gained a set of data-quality rules – adapted in the Portuguese language – for concepts like entities, products and addresses. Data Quality Solution, Açoreana Seguros – part of the Banif financial group – gained integrated views of its business and customer databases for better decision support resulting in greater productivity and lower operational costs.
Aiming to grow business while expanding globally, Açoreana Seguros needed to resolve discrepancies and other issues in the quality of data on its customers, suppliers, and other entities. With approximately 780 employees, a network of 51 agencies and 4,500 insurance brokers who trade and issue its products on a daily basis, Açoreana Seguros needed to fix data problems in order to increase its value to clients.
SAS helped Açoreana Seguros clean, correct, standardize and integrate its data for consistent, reliable customer information.
Realistic customer views
With the profiling component, "we found and corrected problems in our stored data, such as inconsistencies in how we were assigning values within data fields for each customer," Leiria says.
For example, its marketing department's cross-sell and up-sell efforts are smarter and more efficient. With decision support that is more reliable and more accurate, Açoreana Seguros can allocate precious marketing budget and resources according to each customer's real value to the business.
“With quality data, our internal productivity while obtaining and managing available information, both in terms of data volume and information integrity, has increased and exceeded all expectation,” concludes Leiria.
The results illustrated in this article are specific to the particular situations, business models, data input, and computing environments described herein. Each SAS customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. SAS does not guarantee or represent that every customer will achieve similar results. The only warranties for SAS products and services are those that are set forth in the express warranty statements in the written agreement for such products and services. Nothing herein should be construed as constituting an additional warranty. Customers have shared their successes with SAS as part of an agreed-upon contractual exchange or project success summarization following a successful implementation of SAS software. Brand and product names are trademarks of their respective companies.
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Operational Marketing Manager
Resolve data-quality issues to improve customer support and marketing results
SAS® Data Quality
Clean, accurate and updated database; immediate intervention within sources of poor data quality; internal autonomy to execute data-quality processes; increased productivity due to available, accurate and integrated information
“We achieved our goal of having customer data that is more accurate, complete and reliable with a tool that is easier to use.”
Operational Marketing Manager