creating value for business: 2 data science questions you must ask from the start

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Creating Value for Business: 2 Data Science Questions You Must Ask from the Start Damian Mingle Chief Data Scientist

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Page 1: Creating Value for Business:   2 data science questions you must ask from the start

Creating Value for Business: 2 Data Science Questions You Must Ask from the Start

Damian MingleChief Data Scientist

Page 2: Creating Value for Business:   2 data science questions you must ask from the start

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OverviewGoals of Business Are Incredibly ImportantHowever, when it comes to an analytic project, those goals should be in line with those of the Data Science Department.

There must be some balance between the business and Data Scientist.

If this balance is not cultivated, it could ruin an organization.

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What are the Data Science Goals?Aim of Data Scientist: • It is imperative to define goals in tandem with the business

objectives • Also, obtain buy-in of your interpretation

How can this be done:• This can be done by explicitly documenting what you expect the

output to be like • Confirm its usefulness to the business unit you are supporting

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What is the Success Criteria?Business concerned with Data Science ROI:• Need to see activities of the Data Scientist which specify criteria for model

assessment• Important for companies to see what a Data Scientist has defined benchmarks for

evaluation criteria• The adage "to begin with the end in mind" should prompt the Data Scientist to ask

an appropriate series of questions of the business to ensure value creation

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SummaryKey Point: Data Science project success criteria are different than the business success criteria.

Remember:• Any Data Scientist with experience will say that it is always best

to plan with deployment from the beginning of a project. • If the organization experiences a Data Scientist who is not

following this best practice, expect spotty results and a bit of frustration from business counterparts.

• As an organization, it is vital to push your Data Scientist to work hard and be assertive within the project – as well as to use their mind and imagination.

At the end of the day, businesses want to give their Data Scientist the permission to shape the future of their companies desires.

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Questions?

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Connect with Us

Damian Mingle

@DamianMingleLinkedIn: DamianRMinglewww.DamianMingle.com

WPC Healthcare

@WPChealthcareLinkedin: WPC Healthcarewww.WPCHealthcare.com