Is Your Information Supply Chain Working for You?

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To help you get started evaluating your information supply chain, here’s a quick list of questions to ask yourself about your company’s information supply chain:

1.   Where do you create or enter data?

How is it created or purchased? How do you assure its accuracy?  How much does this activity cost you on an annual basis?

2.   What are the business’s requirements for information? 

Level of accuracy?  Real-time? As a result of a key event? How does your most senior management use information to make decisions?

3.   What processes do data follow from creation to use? 

Which business processes are most dependent on accurate data? Finance? Product Management? Marketing? Sales?

4.   Where do you have support for your supply chain? 

Data supply vendors? Technology vendors? Analytics suppliers?

5.   How is your technical environment designed to support quality data? 

How do you manage data from cloud to cloud?  What tools do you use to extract information? To manage data quality?  What security is in place for the most sensitive data?

6.   Where do you have support for your supply chain?

Data supply vendors?  Technology vendors?  Analytics suppliers?

7.   How is your technical environment designed to support data?

How do you manage data from cloud to cloud?  What tools do you use to extract information? To manage data quality?  What security is in place for the most sensitive data?

Related articles:

Where Are You on the Data Analytics Maturity Model?

Data Analytics Driven Marketing for Small Business

Finding the Right Data Resource: Asking the Important Questions

Theresa Kushner
Theresa Kushner
Theresa Kushner is a self-styled data-vangelist who brings her passion for all things data into her consultancy. Having held positions in F100 companies for most of her career, she now dedicates her time to helping start-ups and small/medium businesses scale using their customer information. She applies the skills she acquired as an executive at Dell EMC, VMware, Cisco Systems and IBM to help leaders apply data governance and 21st century data management techniques to their business intelligence and advanced analytics programs. She helps companies determine whether they are ready to take advantage of advanced techniques such as artificial intelligence, machine learning and robotic process engineering. She also helps guide companies in using more effectively for customer experience the data they collect on a daily basis. Ms. Kushner co-authored “Managing Your Business Data from Chaos to Confidence” with Maria Villar in 2009 and 2015 collaborated with Ruth P Stevens on “B2B Data-Driven Marketing: Sources, Uses, Results.” Ms. Kushner is a graduate of the University of North Texas where she received a Master of Arts in Journalism. She serves on the Advisory Boards of UNT Mayborn School of Journalism as well as data.world.

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