Companies and consultants no longer need homegrown models
Every organization wants to become data driven, but data management capabilities need to improve before this dream becomes a reality. As I write these lines, many of our customers still struggle to locate and access the data they need. They still experience major headaches when trying to understand how their machine (i.e., IoT) data relates to their other business data from their core systems, and all too often they have to guess the quality of the data assets they use.
Such data management issues translate into failed projects, but are also a major waste of time, requiring the same tasks to be repeated many times over. As more companies openly acknowledge that their Artificial Intelligence specialists spend most of their time struggling to get the data they need, the sad reality is that they are not the only ones in their company who are wasting significant amounts of time. This lack of data management capability not only creates extra costs, but maybe more dramatically hampers an organization’s agility and speed.
When these problems occur, I have often witnessed what could be described as a data freeze: Many organizations understand that these are not just project management issues, and can even point to data as the underlying problem. In every company I meet extremely competent individuals with a sharp view of their data situation. They start drafting a solution on a blank sheet of paper and, more often than not, soon thereafter experience something I would describe as a writer’s block.
Consulting and software providers have all too often approached this problem with silver bullets, and it makes sense to first state that the solution will not come as a one-off project but instead as continuous journey for every single organization. Having said that, it is critical to start somewhere and understand what needs to be fixed. The good news is that we now have standard frameworks in place, which means customers and consultants do not need to reinvent the wheel to begin this journey. Therefore, they do not need to (and indeed should not) start with a blank sheet of paper.
Many of our customers understand the value of standard frameworks and have started to read the new DAMA Body of Knowledge (DMBoK2) book. The Data Management Association (DAMA) framework has progressed significantly, and in its latest release, it is very relevant to today’s most important data management issues – so much indeed that I personally chose to become certified this past year to better serve our customers.
The Enterprise Data Management (EDM) Council standard content is also mature and continuously improving. The EDM Council is on the pulse of data management and analytics, and now includes AI and ML initiatives as well as data ethics. Because of this, we at TietoEVRY became a member of the EDM Council, and we are leading the way in the Nordics with our certified data management capability assessment model (DCAM) assessors. Concretely, this helps our customers to understand where they are, decide where they want to be and quickly take the first steps on their journey.
We also support agile business transformations and use frameworks, such as Scalable Agile Framework (SAFe), in these areas to facilitate and structure the discussion necessary for us to prioritize business needs and truly understand the data component of each business requirement.
We believe in the value of starting with these frameworks to capitalize on the collective knowledge they represent in the areas of data quality, metadata management/data cataloguing, data governance and agile data transformation. We have managed to recruit business minded consultants experienced with these topics and frameworks and have started building our own assets to complement standard frameworks through our customer transformations and even through our own merger with EVRY.
No matter your industry, the road to being data-driven does not really have a beginning or an end. Soothing, right? But with this standard open approach, your organization’s data journey will become a lot clearer – and a journey where you have a clear ownership of your data-driven agenda.
He has been working extensively with business and has deep understanding on how data is created and what it represents. Emmanuel can support customers refining and prioritizing their business needs and driving agile business transformation. He also has experience in key data related topics including data privacy, data protection, ERP transformations, data warehousing, analytics and Artificial Intelligence.