The battle for attention is a big part of the success of any dashboard. As Mico Yuk says, “the only metric that matters in BI is user adoption” – if your dashboard isn’t used, it doesn’t matter how good it looks or how efficiently is conveys information.
So how do you design a dashboard that resonates with your business users and increases engagement and adoption?
With the rise of cloud based business systems (accounting, CRM, customer support) smaller organizations now have immediate, easy, low-cost access to the same range of transactional systems that larger organizations have enjoyed for years.
Unfortunately when it comes to getting a deeper understanding of the data these systems capture, the story can be rather different.
In a recent LinkedIn Pulse post, Bill Nicely expressed frustration with the current Business Intelligence (BI) vogue for Data Discovery, which is being over-marketed as meaning “you don’t need IT anymore” to do BI.
He’s right to be frustrated. It might be convenient to pretend that IT doesn’t need to be involved, but in the medium to long run this just hugely undermines the overall potential of BI, including the valuable contribution Data Discovery has to offer.
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.
Whilst Steve Jobs is rightly most famous for the impact he had on consumer technology, he also had – and is still having – a significant, long term impact on business technology, and business intelligence (BI) in particular.
To my mind Steve Job’s key legacy to BI is not the iPhone or the iPad but rather the mobile apps that they carry, and they are a signpost to how BI is going to change in the future. Let me explain.