Within a company, who can view data from the website or the mobile app? Which departments should have access to which data? Who is responsible for building analytics dashboards?
Only 38% of employees say they share insights outside of their own department.1 What’s the reason for this? Which levers can (and should) be pulled to democratise access to analytics data within your company, across all business departments
Web traffic and mobile traffic have swapped places – in other words, 52.7% traffic now comes from mobile (according to a 2016 study from relatia). What are businesses in the press, banking and hospitality industries making of this trend? What mobile analytics strategies have they adopted?
Last week we heard from data privacy expert Aurélie Pols on the GDPR’s context and scope, and the definition of personal data. Read on for part 2 of our interview, where Aurélie discusses the GDPR and what it means for digital analytics, transborder data flows, profiling, business strategy and consumer behavior.
In just one year, the European Union’s General Data Protection Regulation (GDPR) will take effect. In light of these upcoming changes, we asked data privacy expert Aurélie Pols to share some insights on this critical piece of legislation
Lionel Cherpin, founder of Empirik agency, was kind enough to partake in our interview. Discover his expert opinions on digital analytics.
After working around the globe as an astrophysicist and university professor, Dr. Sébastien Foucaud made his way into the world of data analytics, machine learning and big data technology.
According to a study from NewVantage Partners, big data has become mainstream among Fortune 1000 companies: The majority of companies surveyed (63%) have at least one big data initiative underway, and 70% of these firms consider big data to be “critical” to success.
Given the ever-multiplying number of marketing channels, today’s marketers must be able to tangibly evaluate their investments in each campaign, in order to determine which marketing mix combinations work best.
The decreasing cost of data storage and the arrival of new cloud-based technologies have lowered the barrier to entry for big data projects. Many companies are jumping in, often with the same goal: develop an in-depth understanding of customers to better anticipate and address their needs.