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Data Migration

Your favourite data topics of 2016

With 2017 underway, we decided to have a look back at what data subjects proved most popular with you during 2016. Below are our 5 most popular articles from last year covering data migrations – hurdles to avoid and approaches to consider; measuring data quality and the 6 key dimensions for assessment; data governance responsibilities for data quality success and of course GDPR, perhaps one of the most talked about data subjects of 2016.  See if you missed any of the key talking points. 

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How to tackle the data migration cleansing challenge

You can finally ignore the assumptions, anecdotes and accusations about your data; data migration will expose the whole truth (and nothing but the truth!) about your data.

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Data migration as an enabler for privacy by design

In this post, Dylan Jones (editor of Data Quality Pro/Data Migration Pro), shares more insights from the recent Data Migration Roundtable workshop where he was our guest speaker. You can read the previous article here: The continued need for impact assessment in data migration.

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The continued need for impact assessment in data migration

At the Experian Data Migration Roundtable, we saw two very clear themes emerge. Firstly, the need for an impact assessment before starting a data migration project and secondly, on using data migration as a design for data protection. So in Part 1 I’d like to kick off with a detailed look into our discussions around impact assessment.

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How to plan a comprehensive data migration

In the wake of our November Data Migration Roundtable, our presenter, Derek Munro, shares his insights from attendees and presenters. These insights provide a useful set of tips for anyone embarking on or going through a data migration, including how to decommission your old software and make it easier with the right technology.

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A successful end to a data migration requires a successful beginning

Experian Data Quality's data migration expert consultant, Jim Williams, looks at one of the most common challenges for those managing migrations - why having a business sponsor in place is critical to getting off to a good start. He considers in particular the importance of establishing this early on to get the project off to a good start and ultimately reach a successful conclusion.

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Data Migration - your perspectives on how to plan more effectively

Data migrations are commonplace these days and with the quantity of data growing rapidly year on year, they’re growing ever more complex. That’s why I believe we continue to see such appetite for our roundtable events where customers can learn and share experiences about what works for them. Our recent September event was no exception and as host I was pleased to be joined by a selection of customers from industries across the board as well our guest speaker, industry expert Johny Morris.

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Overcoming the data migration challenge

Data migration is an extremely common, business-critical task. So it may come as a surprise to learn how many companies experience considerable challenges when executing such projects. A recent study commissioned by Experian Data Quality* showed that 9 out of ten businesses engage in data migration projects and as many as 85% experience significant problems managing them.

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Gartner's 2014 Magic Quadrant for Data Quality Tools

Today is a proud day for everyone at Experian Data Quality. Gartner’s 2014 Magic Quadrant for Data Quality Tools has just been released listing Experian Data Quality for the first time.

Gartner has positioned Experian Data Quality as a ‘Challenger.’ I believe this reflects our success in providing excellent data profiling and discovery solutions that help organisations better utilise and understand their data.

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Data Migration - as easy as moving from A to B?

So you are looking to migrate data from one system to another and the business thinks it’s as easy as copy and pasting from one spread sheet to another and is often an afterthought at the end of a CRM migration. I simplify perhaps, but that’s what it feels like some management and non-technical people think. Trying to explain why data migration can be complicated and fraught with peril is like trying to bash a square peg into a round hole. Sometimes only failure can open people’s eyes.

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