Data Quality and Data Sufficiency Assessment
You've got a problem with your data, but you don't know what? Or maybe you understand the problem, and you want the most cost-effective way to fix your data?
Find out how to enhance your data with new data attributes to improve your data selects, data segmentation and data targeting: use EIMS Data Profiling services.
Data Quality Assessment (data profiling) Process
Should you buy new data? Can you enhance your existing data with third-party lists? Or do you need telemarketing to clean and build your company and contact data?
Work with EIMS to ascertain how you currently use your marketing data, what works, what doesn't, and your priorities for the future. We will help you identify your target market in terms of tangible, implementable data selection criteria.
We will analyse your data, identify the key data fields, data characteristics and attribute values that are required to support your campaigns, and help you to consolidate your data into one common data format. We will compare your data to the agreed benchmark criteria to establish the most urgent priorities for your data.
We will provide you with a comprehensive data quality and data sufficiency report, which will tell you the current state of your data, and what you need to do to condition your data to meet your marketing objectives, and make your marketing data more relevant.
Key Features and Benefits of Data Quality Assessment
- Independent, objective overview of all your internal and external datasets.
- Discover how effectively you are targeting the prospects you want, and how to improve (often beyond recognition)!
- Quantify the level of data duplicates within your datasets at Company, Site, and Contact level.
- Set realistic targets for duplicate reduction and cost-savings.
- Identify key data quality KPIs from data relevance through data accuracy to data completeness, and set benchmarks so you can measure and prove improvements.
- Take advantage of our best-of-breed knowledge on external datasets to provide you with recommendations on how to improve your current data.
Example benefits
"This was strategically important work - I was able to use the Data Quality Assessment and Data Universe Benchmark to highlight our data issues to our management team and plan our next steps."
"We discovered that each time a partner provided us with data, they were actually damaging our marketing database, not enhancing it. We already had over 90% of the records they were providing, and our data was higher quality. By the time we factored in the cost of data handling, and the issues of introducing data duplicates and data errors, we found it both cheaper and more effective to manage data on behalf of our partners and help them with their marketing, with the result that our marketing database is in the best shape ever. A nice side-effect has been a reduction in channel conflict."