Data Cleansing Module - Content Integration Studio

Data Cleansing Module - Content Integration Studio

Are you finding that the data within your company is not 100% reliable? What is the cost of this?

Are you finding conflicting and duplicated data?

Are your business decisions relying on this spurious data?

Rather than, Unlike:

Through Mergers, Acquisitions and newly introduced data stores across the organisation there may be several representations of a single customer entity. FAST can cleanse data to create a single Master Copy of reference data. Would this enable better decision making and reduce cycles?

Business Objectives, Business Challenges:

Content Rationalization.

Consolidate “multiple versions of the truth”.

Base decisions on high quality information.

Single true master representation of entities.

I CAN GIVE YOU AN EXAMPLE:

A Norwegian FAST customer and leading European Media Company, Schibsted utilised FAST technology to develop its award winning white pages. It harvests content such as address, opening hours, contact details in varying formats from various public available repositories and sites. From this unstructure it creates a structured representation of an entity. This achieved using approximate and fuzzy matching in a fraction of the time databases take to achieve this.

In another example a Norwegian telco had multiple customer databases across the organization that needed to be updated when customer information changed. This lead to inconsistent customer data. They haemorrhaged thousands of pounds sending costly hourly paid engineers to wrong address and bills to wrong households before turning to FAST for a solution. FAST consolidated customer data from several DBs to single index. From this index they could write back into a single database that would contain the master data going forward.

The savings in both cases are quite evident.