Data is an asset. And like most assets, its value is greatly diminished if not properly maintained or understood.
 
In good form, your information helps you make informed decisions and identify high value relationships and interactions. In poor form, this same information can lose its usefulness as an asset, quickly turning into a liability.

Low customer satisfaction and reduced brand stature are two likely indications that your asset base has begun to under-perform.
Fortunately a data quality solution can both address past ills, and prevent future problems by:

> conveying how information is structured
> indentifying and measuring critical items
> verifying confirmation to rules during data use and capture

Find out how Knowitsoft can customize its solutions to meet your company’s goals. Contact us
Model 
Using the MetaSphere suite, organisational data, process and structure are modelled to identify what information is held and how it is handled.

Monitor 
Using the MetaSphere suite, organisational data, process and structure are modelled to identify what information is held, how it is handled. The ‘actual’ model is then compared against an interpreted compliance model, for quantifying risk and exposure.

Manage 
Using a cost and performance approach, the highest risk (most costly) items are addressed first. Performance monitoring capabilities within MetaSphere provide timely and relevant feedback to stakeholder audiences as to the progress of compliance efforts, as well as quickly identifying any lapses.

Appreciating how and where information is used also helps to identify stakeholder audiences. In working with these audiences the visibility of the data quality function increases, boosting organisational awareness and enhancing the effectiveness of the DQ function overall.
 
The data quality software and approach offered by Knowitsoft provides a high level of integration between data dictionaries (metadata), data quality
improvement initiatives, data quality measurements, how and where data is used and captured and what value it adds to the enterprise.
 
The level of integration offered provides the means for data quality stakeholders of any level within any role to quickly understand the current state of information quality.
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