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Data Quality Methodology

At Acuate we take a long term view of data quality. Once you have your data at the standard you require, it is essential that the data stays 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 a high quality data. Our five step process and innovative product provides a strong foundation for sustaining data quality that drives your business forward.

Profile

First, understand the data in terms of quality. Acuate’s Integrity product highlights all the areas that are suspect. Within a short time, data problems can be found using the product’s interactive profiling tool. Use our patterns analysis, length analysis, null indicator analysis or value analysis techniques to identify problems.

Improve

Acuate’s extensive set of rules enables you to improve data fit for your business. Reduce costs, find more opportunities and create tangible operational efficiencies. From simple contact information improvements to complicated cross-checking of field information and can quickly 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 a file or table(s), 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 or making decisions from analytics software.

Enhance

Supplement your data with information from leading suppliers of data. Segment data by adding SIC Code or company turnover information to produce targeted campaigns for better returns or analysis for those important decisions. Acuate provide a full set of data enhancements currently provided by bureaus, for a full list please contact Acuate.

Sustain

Acuate’s unique technique for measurement of data quality enables you to sustain very high levels of quality data. Dashboards provide for management reporting and identifying quickly problem areas. Measuring data is the only method for creating consistent data quality – in turn making the most out your investments on the applications that use data.

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