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?