Paribus

Data matching is fundamental to identifying and removing duplicate or incomplete data from your business. By running sophisticated data matching processes, Paribus eliminates waste, saves money and improves your company's image.

You're ready for data matching with Paribus if you're having these problems:

• How many times do you lose customers because they keep receiving two catalogues and their name is spelt wrong? 
• How many times do you provide goods and services to people with bad credit because you have multiple records for them?
• How many times do you incorrectly report because of duplicate records?

If you're not running data matching processes, you're wasting money. Matching data increases costs and degrades customer and market perceptions. It limits the extent to which you can integrate your systems and it limits your productivity by making it difficult for your staff to find data. Paribus's data matching processes help you find and remove duplicate data so you can be more efficient, more cost effective and more able to meet your business objectives.

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Data matching with Paribus means you can have important customer information in one place so every decision you make about them is completely informed. You can reduce your marketing costs and improve the perception of your business amongst your prospects. You can have a better view of your business performance by using up to date information to set and meet business plan objectives.

You can also develop Paribus into advanced data matching processes incorporating third party applications. This means that you can introduce data management policies across the business and make data matching a key part of how you make your data valuable and profitable.

• Integrate deduplication with other data management processes
• Avoid importing duplicates from acquired data
• Associate matching data in disparate databases
• Eliminate waste and distinguish between legal and operational data

How Paribus matches data

Paribus's data matching process is defined by you - you decide how you want to interrogate and improve your data. Paribus's powerful and intelligent data matching engine matches data in great detail and finds potential duplicates irrespective of:

• Sequence: University of Birmingham = Birmingham University
• Spelling errors: business = busness
• Word segmentation: QGate Software = Q Gate Software
• Phonetic likeness: Foto Centre = Photo Center
• Synonyms: Robert = Bob
• Noise words: Ltd, GmbH, Corp, The