MBA 741 - Study Guide 2
Describe the 3 stages of deriving insights
The process of deriving insights involves reviewing patterns, testing hypotheses, and ideally reporting findings in terms of financial impact. Communication plays a key role at each stage of this process.
Reviewing patterns
Is there a real problem? What can you notice from distribution of each variable, from trends, and from comparing test vs. control?
Testing Hypotheses
Determine relationship between business questions and hypotheses variable
Reporting findings
Determine $ impact of the identified issues or proven hypotheses
Describe the following metrics and how they are calculated
Profit = Revenue - Cost
Net Present Value (NPV) = PV - Cost = (Revenue_t - Cost_t) / (1+r)^t
Calculates the total current value of future cash flows, factoring in time value of money. Difference between the the PV of cash inflows and cost. positive NPV creates value.
Internal Rate of Return (IRR) - where NPV = 0 (Revenue_t - Cost_t) / (1+IRR)^t
IRR is the rate that money is compounding internally to the campaign or program
Payback
The time period needed for the revenue to become greater than the cost (breakeven)
Customer Lifetime Value (CLTV) = (Revenue_t - Cost_t) * p^t / (1+r)^t
Rules of Thumb for making decisions based on NPV, IRR, and Payback
NPV > 0, Good
IRR > r, Good
Short payback, Good
Describe general approaches to value-based management of customers based on their CLTV
Low/negative value customers: manage costs
High value customers: retain, cross-sell, and up-sell
Med value customers: turn them into high-value
Remember questions to ask for balancing decisions based on short and long term CLTV
What is the customer’s short-term profitability?
What is the customer’s risk?
What is the customer’s vulnerability to churn?
What is the customer’s long-term profitability?
Remember that presentations should be delivered in a manner that:
Engages the audience
Establishes your credibility
Call the decision makers to action
Describe:
Knowing your audience
Consider how analysis will be received based on the stakeholders’ personalities and backgrounds. Communicate in terms meaningful to them.
Delivering a narrative
Deliver a compelling narrative with new insights rather than summarizing data. Highlight the value of the recommendation for the organization
Calling to action
Compel decision making by explicitly recommending a course of action and articulating the outcomes that the action will lead to based on the analysis
Specifying the level of risk
One-way doors - meaning the decision cannot easily be reversed
Two-way doors - decisions can be more easily reversed over time
Describe the 7 potential components of an analytics presentation
Objective
describe the problem or goal of the analysis
Background
why is the problem occurring and why the problem is important for the business to solve
Scope
what is and what isn’t included in the analysis
Approach
steps to collecting data and what types of data are included and how we define our metrics
Recommendations
present stakeholders with recommendations of what we think they should do
Key insights
support the recommendations be implemented with key findings from our data
Next steps
how will recommendation be implemented and what comes next. what type of outcomes should the company expect
Remember having alignment between your message and…
Key business drivers (How am I doing?)
The business portfolio (What drives my business?)
Customers (“Who are my customers, and what are their needs?”)
Identify presentation pitfalls
Not identifying and aligning with stakeholders
Not tailoring your presentation
Not anticipating obvious questions
Not providing a synthesis
Not specifying success criteria
Not calling to action
Describe the characteristics of a data-driven leader
committed to learning about his/her customer and all dynamics that affect the customer to drive growth and innovation
inherently believes that data will help drive superior business decisions and outcomes
Describe the four components of analytics maturity
Leadership
Analytics talent
3 key skills for analytics talent on the business side
Hands-on business analytics
Working effectively with analysts and data scientists
Basic understanding of predictive analytics
4 key skills for analytics talent on the data side
Hands-on business analytics
Hands-on predictive analytics
SQL skills
Statistical skills
Decision making
4 requirements for the decision-making process
Collect
Review
Prioritize
Execute
Data maturity
4 components of data maturity
Infrastructure
Access
Usability
Instrumentation
Describe amplifying impact in the organization through…
Influencing
Vision - Define “that” which you want to drive the team toward
Plan - Lay out a plan detailing scope, stakeholders, resources, and timelines
Execute - Act according to the plan, and adjust in flight if required
Learn - Learn from the initiative and feed the results into the next project
Prioritization - involves understanding the investment (I) and returns (R) from each initiative and ranking the initiatives with the best ROI or highest R.
Form a core team with representation from different groups working on the initiative
Agree on prioritization metrics and criteria
Establish a process for accepting new ideas and then meet regularly and frequently to prioritize them
Adjust priorities based on new inputs
Coordination
Define a common learning agenda and have regular meetings or brown bag lunches to share roadmaps and knowledge
Prepare a weekly/monthly communication to update everyone on what is happening.