I like to cycle. When I’m out riding my bike I have a little computer attached to the handlebars that, amongst other things, tells me how fast I’m going with a little arrow alongside indicating whether I am travelling faster or slower than my average speed for the ride.
Underpinning this arrow is a well-known formula: speed = distance / time. If I was a scientist or a mathematician I could go back to the first principles to demonstrate the proof of this formula.
However, when I’m riding my bike I don’t need to know, nor do I care about, any of this.
I’ve never bought into the line that “we’re all analysts today”, touted by many Data Discovery vendors and some industry commentators.
Data Discovery has been great for the analysts in our organizations and has revolutionized the way they access, interact, and interpret data. However, I’ve always been more interested in serving the needs of the non-analysts.
In a meeting last week one of our partners, Musgrave Analytics, mentioned something that caught my attention: people are afraid to deploy dashboards to business users until the data is perfect.
Although understandable, the problem with this approach is that it can paralyze dashboard and other business intelligence projects and result in a frustrated business community that lacks access to critical information.
It’s never been more important for business people throughout your organizations to have access to relevant business information to make informed decisions.
But today, with data stored not only on premise but increasingly in the cloud too (e.g. Salesforce, Marketo, Eloqua, Google Analytics), how do you access all of this data to create a consolidated view of your business?
We live at a time where there is vastly more information available than ever before. Tech trends like the Internet of Things are taking us into a world of connectedness, and everyone from Gartner to IDC are predicting big stuff for “the Things” in 2015.
In fact there is already far too much information out there for us to be able to meaningfully take it all in. However it is increasingly important that we use as much of this data as we can to avoid being left behind in both our work and our personal lives.