People today are used to a certain level of ease in their online buying experience. In particular, they expect processes to be completed as fast as possible, in as few steps as possible. In a recent study. 25% of consumers said they found the average website navigation too complicated and 20% claimed it took too long.
Data usage is evolving, but so are data quality tools and users
Over the past few years, we at Experian have seen a big shift in data usage. Businesses are learning how to truly unlock the power of data to better serve their clients.
Experian wouldn’t be the company we are today without the people who make up our team – so we thought it’s time we introduced these individuals, their stories and their talents.
So sit back, share a coffee with us while we chat with Marvi Martinez Villegas, our new Senior Data Management Consultant.
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.
Learn how staff at Experian are helping giving school children valuable skills and experience to support them when they leave school.
How good is our data? This is the question that people are trying to answer when they undertake a data quality assessment. Dylan Jones explains the best way to answer it.
Explore the key data management priorities and challenges faced by marketers from Experian’s 2016 Digital marketers report. Including achieving a Single Customer View and greater quality of data.
Seasonality of email campaigns is something every marketer should not only be aware of, but should already be executing on. With August being peak season for British holiday makers, this ‘summer sale season’ is the prime time for email marketers to grab the attention of their subscribers – especially as competition with the sales will be so high.
Most free tools will only profile and analyse a sample of your data – but not ours. Profiling 25,000 records of 1 million will not identify all data issues, you need to profile all 1 million.
From experience, I find that most companies struggle with making their data quality assessment results compelling because they take a data-centric viewpoint. They show stats and metrics that, whilst valuable to the data community, can be dull as dishwater to the business leader who needs to make tough decisions on where to focus limited staff and financial resources.
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