Mission analytics: Data-driven decision making in government

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Myths about Moneyball for Government

Transcript of Mission analytics: Data-driven decision making in government

Myths about Moneyball for Government

Mission Analytics: Data-Driven Decision Making for GovernmentCopyright © 2017 Deloitte Services LP 2

Legislative and executive efforts for data-driven government have been going on for decades

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But data-driven decision-making in government has likely been held back by some Myths

Your Data must be perfect

before you start to analyze it

Without “big data” you can’t

do analytics

Data Analytics Myth 1

Data Analytics Myth 2

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We’ve reached a tipping point

Emerging discipline of:

MISSION ANALYTICS

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Emerging discipline of MISSION ANALYTICS

New Tools

New Skills

New Data

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What is Mission Analytics?Mission Analytics means using contemporary data science

approaches to shed light on three key questions

WHAT?

What is the organization’s current performance?

SO WHAT?

How does current performance match mission

goals?

WHAT IF?

If resources were allocated differently, what

would the effect on mission performance be?

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Mission analytics improves government resource allocation in 3 ways

PEOPLE

Human capital is a critical resource.

Analytics can help agencies better decide how to

deploy available people.

PHYSICAL ASSETS

Modern analytic tools help organizations make objective

decisions, such as:

which technology systems to buy and where to place

field offices.

MONEY

New analytic techniques can provide a solid,

evidence-based framework for where to spendprecious grant and assistance funds.

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Mission analytics provides a framework to get from here to there

Many government agencies want to use data to improve decision making, but may lack a clear roadmap for doing so

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Convert data into insight

Create a mission-data ecosystem

Define the mission in ways that make it

quantifiable

Translate insights to operational

changes

1. Make your mission measurable 3. Build an analytics layer

2. Collect mission-oriented data

4. Translate insights into organizational actions

Introducing the mission analytics roadmap: A journey to data-driven decision making.

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The mission analytics road map in action

USDA Economic Research Service’s data product reviews identified their most critical products and helped focus agency resources on them

Federal Railroad Administration created PMT, a platform to collect and track critical data from disparate systems within and outside the agency

D.C. Child and Family Services Agency developed a predictive model to identify children most at risk

Using data analytics, Virginia Department of Social Services reduced its average application processing times by 6 days

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It’s hard to know what’s important

Departmental objective may not align with overall agency mission

Self-assessments can be ambiguous and subjective

Storage formats can impede the use of operational data

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But the road toward data-driven decision making is not without obstacles

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Meet the Authors

Mahesh Kelkar‏ Manager, Deloitte Center for‏Government Insights,Deloitte‏ Support Services India Pvt. [email protected]‏Twitter: @Mahesh_Kelkar‏

Peter Viechnicki‏ Manager, Deloitte Center for‏Government Insights,Deloitte Services LP‏[email protected]‏Twitter: @pviechnicki‏

Rachel Frey‏Principal‏.Deloitte Consulting LLP‏[email protected]‏Twitter: @rachel_l_frey‏

Frank Strickland‏Managing Director‏.Deloitte Consulting LLP‏[email protected]

Sean Conlin‏Principal‏.Deloitte Consulting LLP‏[email protected]

Check out the Mission Analytics Interactive here

Read the Executive Summary here

Read the Paper here

About Deloitte

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