DaAnalytics is the personal label of me, Daan Bakboord. I will use this blog to share my thoughts about several subjects related to Data & Analytics. Often the technical sides of things will be covered. But, it’s good to know that it’s not enough to just implement tools, methods and techniques. Because there is more. The Daanalytics Standpoint is easy. Everything I cover here on the blog has the standpoint that the goal is to support the Business.
If organisations want to stay in business, they have to move from A to B. They have to get into action to realise change. Doing things differently or at least better. Organisations who make the move from A to B need a strategy. That means they have to take initiative. Most of the initiatives contain an IT-component. These components are fed by reliable information and insights. All of this starts with access to relevant and timely data.
What is relevant and timely data? The answer to this question should be answered by the Business. Their Data Strategy should be aligned with the overall strategy.
Every change should be supported by the Business and sponsored by the Top Management. The Business (context) should be kept in mind. We have to make sure that we begin, involve and end with the Business. In the end, the Business should be able to take action based on their data.
Executive view on IT, Architects and Architecture
In 2018 I attended the Full Scale Data Architecture College Tour. I guess this event explains it well. This event was a unique opportunity to step into the boardroom and find out what an executive thinks about IT, architects, architecture and data in particular.
“Determine the Business Context first before you start to do ‘something’ with data.”
A few interesting comments were made during the event which I will highlight below.
- You have to understand why things are the way they are and then; “So what?”. Why is it relevant?
- It’s a challenge and a necessity to ask the right questions about the existence of an organisation. This should be done from a Business perspective. It doesn’t make sense to start with the technique, although that might seem to be the easiest way. Are we using the right datasets to answer certain questions?
- Do not rush to technology too quickly. That looks very tempting because of the digitalisation and all the technological opportunities. If you do not see the bigger picture, you might only build a point solution for a current challenge.
- Technology is supportive. Data can be collected by effective use of IT (digitalisation).
- Data is a means and not an end in itself. One can look at data as a mean to reach a certain goal. Data can (and should) be used to answer questions. Business must learn how to ask questions.
- The actual challenge within organisations is that we want to do ‘something’ with data. The important question to answer is; Why? What are we doing? Which processes are important? Which data is involved? What is the dependency of the different processes and the related data?
In the various blogs I will post in the (near) future, I won’t explicitly highlight all of the above. I will put a reference to this blog to emphasise that all we do, when it comes to Data & Analytics, is for the sake of the Business. The DaAnalytics Standpoint is to do it all with the Business Context in mind.
Thanks for reading.