Making a Modern Data Centric Organization — Part 5

LAKSHMI VENKATESH
3 min readFeb 11, 2022

Benefits and Conclusion

Few tips to make sure your Data-Centric Organization is efficient

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Benefits of a Data-Centric Organization

∙A Data-Centric organization gives the purpose and energizes people. Even if you spend millions of dollars on the Big Data, Analytics and Machine Learning projects, if people in the organization management and employees are not aligned towards the organization and if they don’t know what they are doing and why they are doing, all your expenses goes down the drain.

∙You can be Right, A lot.

Driving big shifts becomes easier if as a culture if you are Data-centric

∙Being Data-Centric helps you to identify the risks earlier and fail fast.

∙There will be very less ambiguity.

Summary and Conclusion:

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Extras: Biggest Challenges and how to define parameters and solve for it

4 biggest Technical challenges designing Data Centric organization:

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Biggest Non-Technical challenges designing Data Centric organization

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Defining the core parameters for your Data Centric Organization

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After the core parameters are defined….

∙Put up a Block level architecture that is product, service agnostic.

∙Put up a SWOT analysis for your current Data platform.

Top 10 key functionalities offered by your current platform for your business.

Top 10 dependencies / challenges to move away from your current Data platform.

Top 10 problems if you have to continue with your current Data platform

∙Top 10 strengths and weaknesses that your current architecture offers.

∙Top 10 strengths and weaknesses your new architecture option offers.

Put up all the options for the Data Platforms and all the migration options (Rehost, Re-platform, refactor etc) and put up a positive / negative scoring system across all the options for the parameters that are identified. The best fit option for the Data Platform and Migration will present itself.

∙What are the future strength / top 10 features you want to have in the new architecture / Data platform? Prepare a list for both short-term and long-term.

∙To measure your trade-offs Cost Vs. Maintenance

If cost is the key, what is the TCO of the current architecture the past 5 years.

∙If maintenance is the key, what is the maintenance budget and resources time spent for the past 2 years and what is your intention to reduce the same. This maintenance cost should be re-directed to innovation budget practically.

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LAKSHMI VENKATESH

I learn by Writing; Data, AI, Cloud and Technology. All the views expressed here are my own views and does not represent views of my firm that I work for.