Day: June 14, 2019

Building on our month focussed on controversial topics, let’s turn to what will set your team up for success.

Different contexts can require different types of the analytics team. A lot of the advice that I offer within the Opinion section of this blog is based on a lifetime leading teams in large corporates. So , I’m pleased to partner with guest bloggers from other settings.

So, over to Alan to explain why getting “fuzzy” is the way for an analytics team to see success in the world of startups…

Get fuzzy! Why it will be needed

My co-founders and I have recently had to face up to this challenge of creating a new data analytics team having set up our new firm Vistalworks, earlier in 2019. Thinking about this challenge, reflecting on what we know, and getting the right answer (for us) has been an enlightening process.

With 70-odd years of experience between us, we have plenty of examples of what not to do in data analytics groups, but the really valuable question has been what should we do, and exactly what conditions we should set up in order to give our new team the best chance to be successful.

As all of us talked through this issue my main personal observation was that successful data analytics teams, of whatever size, have…

Read More on Dataflow

Airline big data, combined with predictive analytics is being used to drive up airline ticket prices.

As airlines and their frequent flyer programs gather more intelligence on your day to day lifestyle, flying and financial position – they begin to build an airline big data profile.

Consumer interests, goals, psychometric assessment, your motivations in order to engage with a brand at any given every point throughout the day, what has driven you to purchase in the past – and most importantly – where your thresholds are.

To illustrate how data is playing a growing role within today’s flight booking engines I’ve broken down play by play how each piece of data collected about you can be used, analysed plus overlaid with other datasets to paint a picture of who you are, exactly what motivates and drives you to purchase a particular product.

Every day – trillions of calculations are number-crunched to transform this goldmine of data opportunity into real, tangible high-revenue opportunities for the airlines and their frequent flyer programs.

“When armed with key insights, a holistic overview associated with yours, and other customers’ detailed profiled information can be applied to direct booking channels which are designed to customize pricing for your personal situation at that very given moment. Here is…

Read More on Dataflow