- How to have access to an infinite amount of options to create products and services on demand
- How to create a globally relevant impacting game that you can successfully launch in short times
- How to start solving complex problems with complex thinking – learn a new way of systemic problem solving
- How to expand into a more multi-dimensional person, problem solver, thinker, brand, and force in your marketplace.Is Data Helping or Hurting the Industry?
(1) Decision Making Tool
I’m dog-sitting for my best friend, and I’ve just returned from an emergency trip to the vet. Panic-stricken, I bundled Dolly onto the table in the surgery room, and the vet sat and checked her over. I love Dolly, so when the vet told me her temperature and heart rate were normal, I felt pretty darn grateful for those little bits of data.
Data is a very useful tool; it can help steer and guide decision-making. It measures our progress and success. It helps us make constant improvements. It can reassure us everything is heading in the right direction.
My concern kicks in when slavish reliance on data occurs, when it becomes the be-all and end-all in strategic and creative development. This is dangerous in a world where a lot of data isn’t necessarily that accurate and certain stats can be invested with undue importance. A few years ago, it was all about the number of Facebook likes, and now the latest thinking debunks this in favor of deeper tools like sentiment tracking. The integrity and intelligence behind the data needs to be actively questioned.
I’m a fan of good data. I’m also a fan of gut instinct. When the two are combined, insight and creativity can be set free rather than hemmed in. If data is our only tool, it’s unlikely we’ll transform a category or move people to do something, whether that is voting in an election or buying a certain brand of washing powder. Painting by numbers will give you a competent picture, but people will know it’s not an original Picasso.
We must not fool ourselves into thinking the subjective business of creativity can be put through some sort of rational filter in order to manage our risk and make us less fearful. Data should be respected, but before we bow down before it we need to think – how was this measured and was it worth measuring in the first place?
(2) Predicting Buying Behavior
At some point, we’ll be able to tell unequivocally whether somebody who saw a message was more compelled to make a purchase than somebody who didn’t. That’s the ultimate goal of most advertising, so it’s hard to argue that having concrete causation data is a bad thing. It’s the real-time nature of the data that can lead to rash decisions. Nobody measures a car commercial’s effectiveness by the number of people who saw the ad, got off the couch and drove to the dealership within ten seconds of seeing it. People don’t behave that way. Yet, lots of digital advertising is measured and optimized against this exact type of behavior.
We need to practice a bit more patience and realize that there’s a non-interacting majority out there that might enjoy and look forward to a brand’s messaging but don’t feel the need to like, share or retweet it. There are plenty of things in the world that we enjoy without telling anyone.