the well-oiled data machine' from experian data quality

see outdated contact information as the

biggest issue.

of companies waste an

average of

say it’s their website.

Multi-channel strategies are increasing the

room for error.

A business machine can’t be efficient when…

of revenue due to bad data quality.

41%

suspect their data might be inaccurate in some way.

* Average turnover of UK businesses with 250+ employees: £212 million. Source: The Government's Department for Business Innovation & Skills (https://www.gov.uk/government/organisations/department-for-business-innovation-skills).

86%

The inner workings of a business are dependent on good, clean, quality data; it’s the oil that keeps the business cogs turning! Our most recent research

reveals common data quality issues in organisations.

of companies have a data strategy, but common issues and errors are damaging data quality.

say incomplete, missing data is

the most common problem.

Research shows businesses are experiencing data breakdowns.

What are the main outputs businesses want from their data machine?

44%

having problems when generating meaningful business intelligence.

The impact translates to...

Better customer satisfaction

Cost savings

not having enoughinformation aboutcustomers.

UK businesses are wasting

£197.788m each year*.

recognise the call centre as the most problematic channel.

52%

All data used in this infographic is drawn from ‘Global Data Quality Research 2014,’ an independent market research report commissioned by Experian Data Quality and produced by Dynamic Markets

Find out more: www.qas.co.uk/datamachine

75% 14%

49%

Human error

Poor internal communications

An inadequate data strategy

Lack of resource

Insufficient budgets

59% 31% 24% 22% 20%

But what is the root cause of data errors?

Interestingly...23%

Increaseefficiency

62% 54% 44% 43%

Increased opportunities through customer profiling

81%

24%

of companies depend on manual methods to check their consumer data.

34%use dedicated back-office software to clean new data.

38%use point-of-capture solutions to verify entered information.