The world of data can seem daunting. AI, ML, Big Data, structured, unstructured, Spark, deep learning, flink, kafka… the list is endless.
When we engage with our technology partners, we are often told that the new program that they are just about to launch, finish, pilot or propose will solve all our future needs. People from industry tell us how technology has solved problems at Google, or Facebook, or Uber and it sounds amazing.
If only we could achieve something similar.
If we take a step back and think about data a little differently, we can see that there is a wider problem.
The solution that the above sentences propose are all technology driven. Which seems natural because it feels like it is technology that created all this data in the first place.
I want to propose a few challenges to the above statements and their embedded assumptions.
– Is it true that technology is what created all the data in the first place (another way to think about this would be to ask yourself – did we have data before computers?)
– How much has technology changed in the last 10 years? How much do you anticipate it changing over the next 10?
– In the face of constant technical change – how confident are you in your organisations ability to rely on technical solutions to this data challenge?
– Have the data technologies led to increased data driven decision making in the organisations you run?
When I think about data, I see it as the output of the combination of people, processes and technology.
In the modern organisation, our people are changing quickly due to an extremely competitive labour market. Technology is evolving fast, and this is a trend that is only going to continue. The challenge is for our people and processes to keep up ahead of this rapid development.
How do we solve the data problem when all the inputs are constantly changing around us?
Our approach at BizCubed is to focus on plugging a data operation into your people, process, and systems so that you can have consistent data outcomes as your organisation changes.