Art of the Possible: Data Driven Prioritisation

Pre-requisites
• Prior to the course, attendees should share possible initiatives or examples of analytic projects to be prioritised during the session

Teaching Approach
The workshop structure is designed around the review of 3-10 use cases with the goal of refining to a shortlist of high-value, feasible initiatives. The length of the workshop depends on the number of use cases to review. The primary objective of the workshop is to review, refine and prioritise a set of possible data initiatives.

At the end of the workshop, organisations will:
• Attain a set of refined, focused analytic initiatives that can be readily delivered
• Understand dependencies and risk on the set of initiatives (e.g. dependencies on data or technical work)

Topics Covered
Client Objectives (0.5 Hours)
• What is the business context of the discussions
• What would success look like
• What are the specific objectives and constraints
o What type of benefits desired with what priority – cost saving, revenue generation, compliance, new ways of working, learning about new technologies, market disruption, competitor block etc
o What time frame before benefits have to be realised
o What investment (time, people, resources) is willing to be made

High Level Walkthrough of Use Case (20 Minutes per case)
Overview
• What is the business challenge being met?
• What is the existing solution?
• What is the impact of meeting this challenge?
Refine Scope
• Agree Business and Analytic question
• Agree how success can be measured
Strategic Fit
• Alignment with client’s objectives for this work
• Regulatory and legal fit
• Addressable market / opportunity
Deliverability
• Availability of data
• Availability of necessary people & resources
• Complexity / maturity of mathematics
• Probability of solution technically working
• Integration / industrialisation complexity
Economic Viability
• Delivery duration
• Potential benefits
• Benefit risk (e.g. dependence on other factors such as an end customer needing to buy a service)
• Process/Business Change Requirements
Affordability
• Costs
• Likelihood of securing funding

Shortlist and Review (1.5 hours)
Review Across Use Cases
• Map Use Cases onto Value/Readiness
• Understand any Dependencies
• Shortlist against agreed criteria
Review Shortlisted Use Cases
• Agree specification for each Use Case
• Create Project Charters
• Discuss high level plan for delivery
Next Steps
• Discuss Next Steps and Agree Actions

A deck with updated charters + recommendations + PDF of the slides are supplied.

    Delivery

    Cohort Minimum

    Cohort Maximum

    Number of Training Sessions

    Contact Hours

    Notes

    Please note the price is for a group upto 8 people

    Price per Learner

    (Minimum Cohort)

    £3,600.00

    Datatrainer's Offer

    Our mission is to promote the adoption of advanced data science techniques such as AI to organisations in the Sheffield City Region and help them find additional value, efficiencies and insights in their data. We can do this on a consultancy basis but are also able to provide training to organisations across the leadership, commercial and technical fields. As well as the ‘Art of the Possible’ series featured in detail here, we can also provide Beginner / Intermediate and Expert Training Courses in the technical aspects of data science programming in both R and Python languages.

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