I am also often surprised about the rather 101 level of data strategy (and data management) books. One thing that often disappoints me is the one-size fits all approach. Something that has worked for an author in Government or in mid-size financial institutions (and a lot of authors seem to have those particular industry backgrounds) may not work in a multi national FMCG or a young digital native business.
Having said that, are there any particular books you would recommend?
Very good questions. Compared to Tiankai's book I think it is more the classical change management or transformation literature. I have not many specific data culture literature but we work with a own framework and take inspriation from many fields. For data strategy I had a very good impression from "Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy- by Simon Asplen-Taylor" - a little bit a british perspective somehow. "Elements of Data Strategy: A Framework for Data and AI-Driven Transformation - by Boyan Angelov" is also very 101 and a little bit from a data science perspective. But a real fundamental for consultants with a good and interesting interview part. Furthermore for architecture I like "Data Management at Scale - by Piethein Strengholt" and found James Serra's "Decipher Data Architecture" surprisingly 101 in comparison.
I am also often surprised about the rather 101 level of data strategy (and data management) books. One thing that often disappoints me is the one-size fits all approach. Something that has worked for an author in Government or in mid-size financial institutions (and a lot of authors seem to have those particular industry backgrounds) may not work in a multi national FMCG or a young digital native business.
Having said that, are there any particular books you would recommend?
Very good questions. Compared to Tiankai's book I think it is more the classical change management or transformation literature. I have not many specific data culture literature but we work with a own framework and take inspriation from many fields. For data strategy I had a very good impression from "Data and Analytics Strategy for Business: Unlock Data Assets and Increase Innovation with a Results-Driven Data Strategy- by Simon Asplen-Taylor" - a little bit a british perspective somehow. "Elements of Data Strategy: A Framework for Data and AI-Driven Transformation - by Boyan Angelov" is also very 101 and a little bit from a data science perspective. But a real fundamental for consultants with a good and interesting interview part. Furthermore for architecture I like "Data Management at Scale - by Piethein Strengholt" and found James Serra's "Decipher Data Architecture" surprisingly 101 in comparison.