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15 business process management skills to be aware of

Insights from Gartner   Organisations are keen to be well-organised and resourceful, which is why business efficiency remains a top priority. How do you achieve that? Backed up by data, you...

Blog - Mar 2014
Practical Data Migration Budgeting Tips

Data migration budgeting and forecasting is one of the most overlooked activities on data migration projects. It’s one of the reasons why so many projects overrun or go over budget – they...

Blog - Feb 2014
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How and when data is compromised

The independent research consultancy Dynamic Markets revealed last year that 99 per cent of organisations have now implemented a data strategy programme, which is a crucial development in the...

Blog - Feb 2014
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8 Hurdles of a Data Migration

Did you know that 38% of data migration projects fail? While this statistic represents a bleak picture of wasted effort leading to a drain on resource and budget, it is important to note that a data...

Blog - Dec 2013
Making the move – Experian QAS to Experian Data Quality

What’s the story? You’ve probably noticed we’ve got a new name. So, whilst we fight over the last few branded coffee mugs, pens and reminisce of the old QuickAddress days, we’ll also be...

Blog - Dec 2013
3-2-1 Start Measuring Data Quality

I recently attended the IRM Enterprise Data and BI conference held from 4th to 6th November in London. This conference was a great opportunity to not only present but also to gather knowledge from...

Blog - Nov 2013
Top Tips for Data Quality

I thought I’d share with you a few simple tips to help you get started with your data quality programme. Data quality doesn’t have to be complicated. Really it’s all about having the...

Blog - Nov 2013
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Data governance ‘increases success’ of data quality initiatives

Policy, Processes, Roles and Responsibilities A vast majority of organisations are vying for better quality data, as they understand the benefits attached to ensuring it is clean and valid. However,...

Blog - Sep 2013
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From “Headless Chickens” to Lean and Agile Data Quality Practitioners

More than just bean counting? Data quality practitioners run the risk of that famous adage, “running around like headless chickens”, without convincing and tangible evidence for data improvement....

Blog - Sep 2013
Applying the 5S of Data Quality Management

If you’re a Kaizen, Lean or Six Sigma practitioner then chances are you’ve already come across the “5S” technique. There are various permutations but essentially it involves...

Blog - Sep 2013
Data integrity can lead to improvements across the business

Although accurately capturing data first time is important, it must be cleaned and maintained to retain its value. Preserving the integrity of data can help organisations to keep customers, enhance...

Blog - Sep 2013
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How to Deliver a More Agile Data Migration

Moving away from the standard Waterfall model Data Migration projects have traditionally adhered to the standard Waterfall model of project delivery. Whilst some practitioners may argue that their...

Blog - Aug 2013