Data Matching and Data Cleansing Services with our Proprietary, Machine Learning-based Product Set

Proof-of-Concept Data Matching, Data Quality, and Data Usability Assessment

Data can be inconsistent, redundant, incomplete, and difficult to match, standardize, validate, and process.

The challenge is that it can be difficult to know if any of these or other data quality issues exist within your various data assets, and if so, to what extent and what can be done about them. If there are data content exceptions and quality issues, they could be affecting analytics, reporting, data-driven processes, customer communication, data science initiatives, and a whole lot more - not to mention missed opportunities because your data assets are a shell of what they could be. That's not good and results in a poor ROI with current data investments.

This is why we provide proof-of-concept data quality and data usability assessments. We will analyze some portion of your data (perhaps a single dataset, a few columns, multiple databases - you choose whatever makes sense) and then let you know what we find. If we don't find any (unlikely) data quality or data usability issues, or we do find some issues of minimal consequence in your opinion (possible), then you can rest assured your data is in pretty good shape. If we do find any significant issues, we will share them with you and then outline how we can help you with these challenges. At that point, it will be up to you to choose whether or not to work with us. Fill out the form and will be in touch.

So if you need a data partner to help with your data processing challenges, including multi-pass data matching, data engineering, data standardization or database building, let us put our decades of data analysis and processing experience and innovation to use on your behalf. Let's do an assessment right away!

Some examples of what we can do to help:

✔ Matching data across different and heterogeneous sources
✔ Eliminate data redundancy and duplicate data
✔ Identify inconsistently represented data content
✔ Standardize data for accurate analysis
✔ Match data within internal sources
✔ Match data from external sources
✔ Match data across multiple sources
✔ Verify data for accuracy
✔ Consolidate duplicate customer or prospect information
✔ Re-engineer data per requirements
✔ Database building from multiple sources
✔ Data quality analysis
✔ Enrich data from additional sources

Inconsistent data provides inaccurate analysis and redundant data can result in substantial costs ands missed opportunities. And that's just the beginning. We can help transform and re-engineer data using our experience combined with our proprietary tools, contextual Machine Learning-based processes, and advanced data processing capabilities. These innovative data tools, built on decades of experience and at the heart of our capabilities, are not available with anyone else.

Contact us using the form to learn more and to discuss your requirements. We can analyze data samples as part of a proof-of-concept. Below are some samples of the types of challenges we can help resolve.