Since data quality is becoming a genuine critical succes factor for more and more and organizations, the axiom 'prevention is better than cure' is rapidly gaining importance.
As the Data Quality Life Cycle illustrates, data quality management is a continuous process. Therefore the prevention of pollution through defective data, is a continuous process as well. In order to establish data polution prevention, Human Inference has been supporting the Data Quality Firewall concept for many years.
First time right
Input of data from other sources, such as CRM applications, financial applications and other external data suppliers, always constitutes potential risks. The content, the format and the syntactic and semantic validity may be incomplete, inaccurate, outdated or otherwise divergent. Additionally, there is always the danger of double registrations.
That is why input control should be established according to the 'first time right'-principle.
Using HIquality Name, Address, Identify and Enrich in combination with our extensive knowledge base and reference data, Human Infererence guarantees the input of clean data and the assessment and report of possible defects. For a comprehensive view on this process, click here.
Cost decrease
The direct costs of defective data quality, including scrap and rework, irrecoverable costs, ineffective marketing efforts and workarounds, can be as high as 20% of an organizations operating revenue or budget.
That is why the investment in the Data Quality Firewall is a serious economy measure: It is not a one time sweep, but an essential and recurring part of data quality management: The Data Quality Firewall ensures high level data pollution prevention at all times.
Agility
Ensuring the appropriate level of data quality is essential in optimizing business processes, in regulatory compliance, and in establishing a complete and accurate view on relationship data. The introduction of new IT architectures, including SOA, Enterprise Service Bus (ESB), or business principles such as Business Process Management (BPM), will not change the importance and requirement of data quality. On the contrary! It will always be content that matters; the quality of data determines the vitality of any organization. Quality of data equates to quality of service.
A change in business circumstances force an organization to change its business processes and consequently the underlying business applications. Changing the required logic in a business application often causes a long time to market and sometimes even puts the business application out of operation. A way to simplify this process and shorten the time to market, is by moving the complexity related to data quality towards the data quality solution. Changes needed in the data quality logic can than be done without changing the business application.
In order to continuously guarantee an adequate level of data quality within the enterprise, a data quality solution is required today that will prepare the organization for the data quality needs of tomorrow. As an independent provider of state-of-the-art data quality solutions, Human Inference closely monitors and directs new developments in the IT and data quality market. The HIquality® Suite for Total Data Quality Management of Human Inference perfectly fits in traditional as well as more innovative business environments, including those that have adopted a SOA.
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