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Data Quality Management


“Businesses lose as much as 20% of their revenue due to poor quality data” – (Kissimetrics)

“The average cost to an organisation of poor-quality data in 2018 is $15 million per annum!” – (Gartner 2018)

Up from $9.7 million dollars in 2017! It’s a trend that is unlikely to improve, especially with the success of an increasing number of business initiatives being dependent on quality data such as digital transformation, machine learning/AI and data analytics.

How Infoboss helps

We recognise that correcting the quality of data is not a point in time event.

Infoboss enables you to get your data quality improvement initiative up and running quickly. Within minutes you will discover data of interest, generate work packages to fix and assign ownership of the data to those that can make the difference.

Our solution provides a best practice approach to data quality management supporting a long term, sustainable, data quality improvement programme for your business.

We help you to:

  • Assign ownership to your data assets;
  • Identify poor quality data;
  • Alert data owners as poor quality data enters the data estate;
  • Validate and suggest data correction;
  • Track your data quality improvement performance indicators; and in turn
  • Build a sustainable data quality improvement culture within the business.

We support the principal of data democratisation. Empowering those that can improve data quality with the tools to do so.

“Fixing data quality can be a daunting task and too often protagonists pay lip service to the job in hand, electing to adopt short term strategies to resolve specific issues rather than take the brave steps to build a data quality management strategy that delivers sustainable improvements, forever…”

Best practice guide to Data Quality Management
Get started with a FREE trial

Getting started couldn’t be simpler we can arrange a demonstration or a free trial to suit your requirements. Simply fill in a form and we’ll be in touch to arrange.