Data Transformers Podcast
The pillars of a successful data strategy - Jennifer Agnes
/

Topics discussed in this episode:

01:47: Role of data strategy is always in the context of a business strategy. It doesn’t exist by itself.

02:39: What was once people, process, technology is now people, process, technology, and data. Data strategy works hand in hand with technology strategy.

05:30: To build a data strategy that works for all the initiatives is possible but organization will not wait for all the elements such as standards, principles etc. to fit in. So it is better to plan for the org but build tactically.

07:48 (Headliner) : six pillar approach to building data strategy. (1) Understanding and creating the vision (2) people and culture (3) Operating model (4) Data platforms, tech and architecture (5) Data excellence (6) 

09:54: Start with an assessment of the capabilities. Based on the assessment, you start filling the gaps.

14:52 (Headliner): Difference in working as a consultant versus as an employee to put a strategy together is that you have to move faster as a consultant.

19:23: As a fundamentalist, always try to get basics right first.

Resources mentioned in this episode:

Podcast website: https://DataTransformersPodcast.Com

 

Episode Title : The pillars of a successful data strategy – Jennifer Agnes

Episode Summary: Data strategy can’t live by itself. It needs to be driven by a business strategy. A six pillar approach to data strategy will stand the test of time. 1) Understanding and creating the vision (2) people and culture (3) Operating model (4) Data platforms, tech and architecture (5) Data excellence (6) . Jennifer Agnes, who was implementing data strategy within the corporations, is now helping companies as a consultant. For any work, an assessment is the first step. The gaps from the assessment will direct the next steps.

 

Data Transformers Podcast

Listen Now!

Join Peggy and Ramesh as they explore the exciting world of Data Management, Data Analytics, Data Governance, Data Privacy, Data Security, Artificial Intelligence, Cloud Computing, Internet Of Things.