Every organization that works with large or complex data files recognizes the need to find and remove duplications and overlaps in data files automatically.
What does Data Matching do?

• Cleanse data.
• Find overlap of (product) assortment of customer and supplier.
• Reduce data overlap of various databases.
• Consolidate data after a merger or take-over.

Data Matching makes data more transparent and gives better insight.

It is also often used as a basic procedure before data file are transferred to other IT systems.

Points of focus

Matching data is not always easy.  Experience has shown that MS-Excel only finds the simple, obvious matches with some formulas. After that it becomes an arduous, time-consuming and dull task without any certainty of the outcome.
The large numbers of different terminologies, synonyms, abbreviations, typographical errors and languages differences that are often stored in differently structured databases, are also troublesome.

Our solution

Calago offers a powerful solution that is applicable to all problem areas.

Because of its flexibility, the software can be configured perfectly to your situation. The user-friendly interface gives quick and easy insight into the matching process.

The solution Calago offers has an advanced, self-teaching technology based on dynamic algorithms. These patented algorithms, developed by top scientists, ensure intelligence in the system that independently continues to get more and more accurate.

How delivered?

Data Matching is delivered by Calago in two ways:

• As a one-time service.
• As a fully integrated system, including technical and functional support.  The software is also available remotely, if so desired.

Related products

The most desirable follow-up steps after Data Matching are: auto-classification and normalization/standardization. Calago can seamlessly integrate this within your system.   

Terminology

Data Matching is: searching for and connecting different records that contain the same item. These items then show up in one or more databases more often.

Result

The Data Matching process results in a database that no longer contains duplications. In addition, a transparency has been created between the databases, which enables you to:

• Compare prices.
• Analyze inventory.
• Correct and update data.
• Enrich data.