Delivering a high-quality SOA requires high-quality data

Federal Times – a leading US Publication – has an article about the advantages and possibilities Service-Oriented Architecture (SOA) provides federal agencies.  The article is called “Improving data quality is first step in info sharing”

Delivering a high-quality SOA requires high-quality data. “Garbage in, garbage out” is still the rule for information systems. SOA is worthless if it becomes just a more efficient way of communicating poor-quality data. To realize the full value of SOA, including agility and reusability, client applications must be able to access relevant data wherever it resides, in whatever form is required, in a consistent and accurate manner.

The commentary goes on:

Data governance is key. Data governance is defined as the processes, policies, standards and technologies required to manage and ensure the availability, quality, consistency and security of data in an organization.

This is recommended reading.

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Have you read the article about “The Importance of Data Quality in Service-Oriented Architectures?”

I was referred to this interesting article about SOA and Data Quality by Sid Fran on b-eye-network today. It is an excellent and to the point introduction to SOA .  It’s headlines:

  • Definitions
  • Features, benefits and promises
  • Success stories
  • Successfully Transitioning to a Service-Oriented Architecture
  • SOA and Data Governance
  • Succeeding with SOA

In this last point he speaks right to my heart when he ends the article with:

To implement a successful SOA, it is important that a company follows a basic tenet – the underlying shared data must be of high quality, highly available, and consistent across the services.

Need I say more?

Put a Data Quality Backbone in your CRM system.

It has become widely accepted that Data Quality is the main reason for CRM failure:

“Without clean data, there is no CRM. Poor data quality can lead to serious business problems.” – is quoted from an Article called “Avoid the pitfalls of poor data quality” in cxoamerica.com

“If there is no standard of quality for data, a CRM system becomes useless” – is quoted fromblog called Poor Data Quality = CRM Failure based on this article in BTOBonline

“Dirty Data can jeopardize your CRM” – an article in itworld.com

“most executives are oblivious to the data quality lacerations that are slowly bleeding their companies to death,” – is quoted from an article called Data quality: ‘The cornerstone of CRM‘ in Computer world

“The simplest systems can deliver amazing results if they operate on clean data.”  – is quoted from the article “The Bane of CRM – Data Quality

Gartner estimates that 50% of CRM implementations fail.

Here is an efficient way of securing your Data Quality Backbone:

Omikron Data Quality Server has through several implementations proved to be the backbone of several successful CRM systems. With it’s 2 core modules it secures that your operatives find their customers, and that the data stays clean and up to date. With SOA it’s a flexible and easy to integrate solution.

Module 1: Find your customers easy, fast and intelligent with FACT-Finder Address-Search

Most duplicates are created in the data entering phase, because the operators don’t find the existing customers. Most systems have search/duplicate checks, but they are not very efficient and return few hits. If you are able to find your customers, you have solved a major part of the problem.

FACT-Finder is Europe’s Market leading search- and navigation engine for online shops. We use the same technology in our FACT-Finder Address Search to search in your CRM system. Fact Finder Address-Search is:

  • Error tolerant
  • Quick
  • Language independent
  • Easy to navigate in the results
  • Easy to integrate

The illustration shows how the DQS works and communicate with CRM and ERP systems.

Module 2: Always a clean database with DQS Duplicate Check

DQS Duplicate Check will ensure that your database(s) are up to date. It can

  • cleanse your data for duplicates and can enrich them with reference data every day
  • match and consolidate the data across several databases and systems
  • monitor the data entry phase to detect where poor data quality is initiated

Additional Modules for Data Quality Server
Data Quality Server is module based. Here are some of the other modules:

  • Sanction List Comparison
  • E-mail verification
  • Telephone Number Plan verification
  • Gender Assignement
  • Postal Correction
  • Data Enrichement

You can read more about Omikron Data Quality Server in this electronic brochure or on the webpage.