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Experian Data Quality Blog

Monetisation of data in practise: Part 2

Organisations are now looking to “monetise” their data assets in more explicit and measurable ways in order to prioritise where investment will drive greatest returns, reduce risk and minimise loss. In the second part of this monetisation series I look a common scenario to illustrate how this can work in practise.

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How to 'monetise' your data assets: Part 1

The monetisation of data is not a new concept, however technology is now making other ways of data monetisation accessible to every organisation. This article examines the place of data quality in this emerging trend and describes a pragmatic four-step process for putting a value on data issues.

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Data quality - what's your role?

Data ownership is now an increasingly hot topic among those in charge of data quality within the business community. This article looks at how in today's data driven world most of us have some sort of relationship with it. Janani considers how different data quality roles interact and how to define responsibilities and ownership in a way that contributes to the wider organisational goals.

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Email: Higher volume, higher return?

* As featured by Business Zone

Sophie looks at how poor email hygiene can impact the deliverability of your emails, even those that are valid and engaged with you. Through a hypothetical example this blog post will explain why taking out invalid email addresses can increase the overall amount of good email addresses that reach the inbox and the positive uplift that will ultimately have on your bottom line.

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5 ways to increase ROI from email marketing

* As featured by Fresh Business Thinking.com

A follow up to the recent 'Smarter Marketing Checklist', Sophie considers tactics to optimise your email program once its up and running.  In particular this blog looks at why regularly cleaning your email list is a crucial activity.

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An Experian Pandora user named as a ‘Data Quality Programme Leader’ in the 2015 Data IQ Talent Awards

We are pleased to announce that this year’s Data IQ talent award for ‘Data quality programme leader’ was awarded to our very own Experian Pandora user, Paul Hennessy from Aldermore. The worthy winner of this incredible award created and implemented a transformational data governance and quality program; ensuring Aldermore has the data it needs to deliver on key strategic activity.

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Can you mkae out this setnence eevn wehn the ltetres are jubmeld?

Even when all the letters in a sentence are jumbled, most of us can still read between them and make out every word. Unfortunately in the data world the same rule doesn't apply. When capturing your customer’s contact details, be that; email, address, telephone numbers etc. it’s critical to capture these details correctly first time.

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Smarter Email Marketing Checklist

* As featured by Fresh business thinking.com

Email marketing is a critical tool in every marketer’s toolkit and it’s not going anywhere. It is however getting more and more difficult to cut through the noise and make your emails stand out from the crowd. With this in mind, email marketing expert Sophie Armitage has developed a best practise checklist designed to help you get better results from your email activity - including why cleaning your email list is crucial.

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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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The role of technology in empowering the CIO and CDO office

*As featured by Computing

With data moving higher up the business agenda we’re seeing pressure mounting on those responsible to deliver on its demands. As a result, a number of challenges have emerged for both Chief Information Officers (CIO) and Chief Data Officers (CDO) alike, caused by a lack of suitable technology that’s ultimately having a time and cost impact on resources, their ability to support each other and deliver on data strategy.

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