DATA QUALITY: THE ESSENTIAL TOOLS

Tuesday, November 28, 2017

Data quality: The essential tools

Only 33% of CEOs say they trust their data (“CEO Outlook” 2016, KPMG). As sources of data are multiplying and diversifying, so are concerns about quality. Data quality is now a major strategic challenge for many companies, as it has a direct impact on company growth and longevity. And incorrect or unreliable data can have serious consequences on your digital analytics activities including loss of trust, reduced credibility, and poor business decisions.

At AT Internet, data quality is an absolute priority. That’s why we’ve put together our data quality toolbox: a set of easy-to-use tools that make it simple and painless to ensure your data’s quality.

In this webinar, discover these innovative tools: 

  • Marketplace: Simplify your implementation with a system of plugins 
  • Tag Inspector & Tag Crawler: Test and debug your data in seconds – no technical skills needed
  • Data Manager: Correct errors due to tagging mistakes without editing your code
  • Q&A

 

Your webinar host :

Florian Rieupet - AT Internet    Florian Rieupet
Product Manager
AT Internet

 

ON OUR BLOG

THE LATEST TRENDS IN DIGITAL ANALYTICS

Blog
Analytics Suite: the new features of the summer

Summer is drawing to an end, and AT Internet's product news is back in full force! Article Analytics Suite: the new features of the summer…

Blog
Infographic: 13 KPI analytics vital for the media

A list of the main key performance indicators (KPIs) to effectively manage your digital strategy and achieve your objectives. Article Infographic: 13 KPI analytics vital…

Blog
Catching up: Gold rush, Brexit woes and secret profiling!

Gold rush, Brexit woes and secret profiling... The catching up: a look at the latest news and other digital nuggets. Article Catching up: Gold rush,…

STAY IN THE LOOP

SUBSCRIBE TO THE NEWSLETTER

Receive our latest digital analytics content by email:

 

We are committed to respecting the privacy of users and promoting the fundamental values of data protection.

Top