Data quality software

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data-quality-softwareDATA QUALITY SOFTWARE: A QUALITY CHOICE FOR YOUR COMPANY

Data quality software offers numerous benefits to those companies that decide to make a professional investment to improve their data warehouse. First of all, the numerous fundamental benefits regarding streamlining the company’s wealth of data:

  • Rationalise and correct thousands of items of data and addresses
  • Eliminate duplicated data
  • Integrate data coming from a range of different sources into a single database
  • Precisely geolocate the customer-supplier list

HOW TO EARN THANKS TO DATA QUALITY SOFTWARE

Given these basic elements, it is easy to understand the tangible margins for company profit growth, guaranteed by precise data quality management of the database, by installing the most suitable data quality software. This not only means more efficient and orderly data organisation, but as a consequence, a series of advantages which may not seem so important at first sight, but need to be carefully analysed to realise their worth:
  • Eliminating failed or duplicated mailings
  • Perfecting the direct marketing campaigns
  • Reducing data entry costs and times
  • Precise geomarketing analyses
 

Normally, by improving data quality management and adopting suitable data quality software positive effects are also guaranteed on the ROI and profits, because the business grows, and the costs and risks are reduced at the same time which are involved with complying with law and regulations

 

COMPANIES FACED WITH DATA QUALITY

Despite the advantages that have been outlined above, often companies find it difficult to understand the importance of quality data management upstream from the data acquisition phase. In fact, if data management is not adequate, it can lead to difficult situations which involving reorganising the organisational policies from scratch when faced with seriously compromised situations with the resulting heavy costs involved.

All business intelligence systems that use incorrect territorial data, due to poor data quality, can induce marketing managers to underestimate the quantity and value of the customers in a certain area by more than 60%, with the negative effects on all the strategic decisions that will be made on the basis of these incorrect analyses.

Consequently greater attention paid by company organisation to cooperation between marketing (which makes the decisions) and data processing (which has to handle the lack of sufficient data quality software every day) would have beneficial effects on the entire business.

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