No. It comes down to you and your needs, where you are starting from, the competitive environment and your abilities to go forward. You may or may not need master data management. You may or may not have big data. Same for graph databases, in-memory databases, etc. You may be able to accept a recommendation for cloud storage, a CDO or data science, etc., or it might take months to quarters to just get to acceptance in the culture. There are guidelines for what different levels of maturity should look like, although this should never be thought of as completely prescriptive. Everyone should move up their level, but it almost always has to be done in conjunction with business initiatives.
Definitely no industry standard, just more and less
popular/successful options. If there's one vendor that seems to be
making the biggest splash right now, I'd say it's Microsoft. I'm
not a Microsoft partner or anything, I just see them winning out
more than others nowadays as far as organizations centralizing
their data capabilities on a single stack. Hope that's
Aaron Fuller, CBIP
Founder & Principal Consultant
Superior Data Strategies
Jose Mari Taleno
From what I reading, a data strategy ecosystem refers to the integration and flow of data/info between all the different systems, departments, people, things within the organization and between to/from vendors and other customers. To me, it is a way to view data integration. The number of all these components, inputting and outputting data is growing. Scott Stone has a Webinar coming up on October 15, at 2 pm eastern "Do you know where your databases are?" Scott may have some other ideas about data strategy ecosystems.