So you've landed a new data project. Now you need to make sure that you deliver. Unfortunately when it comes to most big data projects, they fail.
Back in when I was a little kid I had the opportunity to travel and live abroad during long periods. These experiences were definitely the most marking in terms of discovery and immersion. And here I am, 18 years later, back in the game for another thrilling experience abroad. For 3 months, I will be joining DataShaka for an internship and work in the marvellous but challenging world of data.
There was a time at DataShaka where all Data processes happened behind closed curtains. The client would submit a file and we would tell them (sometimes days later) through a manual email that it is done or send them DAT (Data Acceptance Test) extracts to review and sign off.
At DataShaka, one of the data problems that many of our clients come to us with is the need to measure the impact of their marketing and campaigns on their brand. The thing with brand is that everyone has different ideas on how to measure it. One thing all of our clients seem to agree on is that they need to analyse data from multiple sources to gain a full picture of how their company’s brand is perceived.