The first step is to establish the current state of your data and to understand the nature and scope of the specific quality problems needing correction. Using our advanced reporting engine and analytical software, we create a comprehensive profile of your database records that reveals problem areas in your database. The next step is to resolve those problems such as uncovering missing or incorrect data, identifying likely duplicates, and/or exposing aspects of the data that could be enhanced. Data Purification eliminates duplicates, identifies related records across multiple databases, and reconciles inconsistencies.

BODEN has the tools and expertise to efficiently and systematically eliminate duplicates. This process is not always straightforward. Different databases may collect different information, and even common fields may have different information due to varying standards, typos, omissions, and selective disclosure. BODEN knows how to drill down to the details and will work with you to establish standards that guide which records to keep, which ones to delete, and how to ensure that overlapping data from all duplicates are reconciled into a single accurate record. Many of these decisions can be fully automated, using the Decision Engine.

It's easy to find a record if there is an exact match between the query string and the data stored in the database. But what if there are typos in the data? Even more challenging would be different errors in BOTH the query string and the stored data.

The Matching Engine™ finds matches even for incomplete or partial similarity. Using this patented mathematical approach, it finds similarities in data much like humans perceive them. As a result, it discovers matches even when there are errors in both the query string and the target data, and it can handle many of the issues that plague real-world data from.

A critical component of the Matching Platform is the Decision Engine which can be applied to an enormous range of data-driven decisions to automate business processes. These include not only determining whether data records should be linked, merged, or de-duped, but also to many other decisions that can be automated.
Unlike conventional rules-based decision models, which are difficult and highly labor intensive to develop, the Decision Engine leverages patent-pending machine learning technology. Fully customized models can be developed rapidly and cost effectively, simply by feeding the system appropriate examples of data inputs and the appropriate decisions.

BODEN’s data consultants are experts in the capabilities of the Decision Engine. We can assist you in deciding what business decisions to automate, and in designing and inputting "training sets" that deliver the required precision. We can also assist you in developing strategies for fine tuning the model over time, taking advantage of the system's unique ability to learn from experience.