Assessing data availability for business
Use follow-up questions such as the following to understand the gaps between the current state of data availability and what the BU wants to achieve:
How does data support your projects and your current business goals?
Is it challenging to obtain the right data to use and make decisions?
How automated is the process to obtain the data? What are the manual steps involved, if any?
When data becomes available, can your team understand and work with it, or do you have to translate the data to your business domain?
Do you receive data on a timely basis to support your business decisions?
How would getting data faster improve your business? To drive improvements, how fast should data become available?
Are your decision-makers missing any data?
If yes, which data is missing?
What would be the advantage of having this data?
How are your main projects affected by the missing data?
Do you have any challenges associated with compliance regulations such as General Data Protection Regulation (GDPR) or other standards?
Does your BU have data products available to enable applications to take actions?
Is your area able to deliver machine learning models to improve your business? If not, do other BUs support your business in this area?
Are you aware of any data inside the company that is currently not available for your BU but would support your projects or drive improvements in your area?
What are they?
Do you rely on the quality of data available for your area?
Does your team perform your own data cleansing process before you use the data?
Does your team perform your own quality process before you use the data?
When your team works on data availability and produces new data products for analysis, enrichment, and an aggregated vision, can they share these products with other BUs in your company?
