Looking for a new challenge? DataShaka is hiring a software engineer! If you want to work for one of the most innovative startups in London, then keep reading...
Businesses large and small have been using Twitter as a means of engaging and communicating with consumers. Just by visiting Twitter and searching for some of the big name brands such as: Nike, Google, Samsung or HSBC reveals that they have multiple Twitter accounts, often dedicated to countries, brands and products.
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.
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.
Having been working hard to make it easier for our clients to check the validity of their data, I wanted to share some thoughts on our process. This blog post follows on from a previous post “Why DAT is Important”.