Data Quality Methodology
"Our five-step process allows you to comprehensibly improve and sustain your data quality"
At Acuate we take a long term view on data quality. Once your data is at the standard you require, it is essential that the data remains at this level. The business continues to get the most from the data and you reduce costs by not continually manipulating data for one-off improvements. Sustaining data is a function of measuring and continually improving upon high quality data. By using our five step process and our innovative product Integrity™, you can provide a strong foundation for sustaining data quality that drives your business forward.
Profile
Firstly, you should understand the data in terms of quality. Acuate’s Integrity™ solution highlights all the areas that are suspect. Within a short time, data problems can be identified using the product’s interactive profiling tool. Use our patterns analysis, length analysis, null indicator analysis or value analysis techniques to identify problem areas.
Improve
Acuate’s extensive set of rules enable you to improve your data fit for your business. Reduce costs, find more opportunities and develop operational efficiencies. From simple contact information improvements to complicated cross-checking of field information, we can quickly and reliably change your data.
Integrate
Bring your data together to create a single data view of your contacts, companies or products. Records can be deduplicated within files or tables, and records can be merged across multiple data sources. Creating a database that truly reflects your business is essential in realising the benefits of Customer Relationship Management (CRM), or for making decisions from analytics software.
Enhance
Supplement your data with information from leading data suppliers. Segment data by adding SIC Codes or company turnover information to produce targeted campaigns for better returns. Acuate provide a full set of data enhancements. For a full list please contact Acuate.
Sustain
Acuate’s unique technique for measuring data quality enables you to sustain high quality data. Dashboards allow the management to create reports and quickly identify problem areas. Measuring data is the only method for creating consistent data quality. This makes the most out the investments on the applications that use the data.
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