Data-driven Dashboards

IT-Driven Transformation Through Data-Driven Dashboards Presented At:

Larry Fitzpatrick e: [email protected] t: 301.656.4030 www.computechinc.com 10th Annual CIO Forum

1.

IT-DrivenTransformation Through Data-Driven Dashboards

What Is It?

DATA DRIVEN DASHBOARDS A system that enables meaningful inspection of the operation of a complex system to inform decision-making. A complex system can be a portfolio, a business unit (agency), or an industry.

1964, Michael Scott Morton first articulates DSS concept at HBS 1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review

1964, Michael Scott Morton first articulates DSS concept at HBS 1971, DSS term first used in publication by

1964, Michael Scott Morton first articulates DSS concept at HBS 1964, Michael Scott 1971, DSS term first Morton first articulates used in publication by DSS concept at HBS

GIS

1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review 1964, Michael Scott Morton first articulates DSS concept at HBS 1971, DSS term first used in publication by

RIA

1964, Michael Scott Morton first articulates DSS concept at HBS 1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review

UX

1964, Michael Scott Morton first articulates DSS concept at HBS 1971, DSS term first used in publication by

1964, Michael Scott Morton first articulates DSS concept at HBS 1964, Michael Scott 1971, DSS term first Morton first articulates used in publication by DSS concept at HBS 1964, Michael Scott 1971, DSS term first Morton first articulates used in publication by DSS concept at HBS Gorry& Scott Morton, 1971, DSS term first Sloan Management used in publication by Review Gorry& Scott Morton, 1964, Michael Scott 1964, Michael Scott Sloan Management 1964, Michael Scott Morton first articulates Review Morton first articulates Morton first articulates DSS concept at HBS DSS concept at HBS DSS concept at HBS 1971, DSS term first 1971, DSS term first 1971, DSS term first used in publication by used in publication by used in publication by 1964, Michael Scott Gorry& Scott Morton, 1964, Michael Scott Morton first articulates Sloan Management Morton first articulates DSS concept at HBS Review DSS concept at HBS 1971, DSS term first 1964, Michael Scott 1964, Michael Scott 1971, DSS term first used in publication by Morton first articulates Morton first articulates used in publication by DSS concept at HBS DSS concept at HBS 1971, DSS term first 1971, DSS term first used in publication by used in publication by Gorry& Scott Morton, Gorry& Scott Morton, Sloan Management Sloan Management Review Review 1964, Michael Scott Morton first articulates DSS concept at HBS 1971, DSS term first used in publication by 1964, Michael Scott Morton first articulates DSS concept at HBS 1971, DSS term first used in publication by

1964, Michael Scott Morton first articulates DSS concept at HBS 1971, DSS term first used in publication by

DTV.gov

OR

1964, Michael Scott Morton first articulates DSS concept at HBS 1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review

user experience

data cube

operational systems

2.

IT-DrivenTransformation Through Data-Driven Dashboards

Why Now?

FOUR FACTORS CONVERGE Fifty Years Of Cumulative Experience

Michael Scott Morton first articulates DSS concept at HBS.

1964

Significant early Data Driven DSS in production (Klaas).

1971

DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review.

WAN Bandwidth For A Typical Institution 150

1974

1982

1995

Howard Dressner defines BI - Business Intelligence

Sprague & Carlson publish seminal DSS framework.

Data Driven Dashboards

Internet commercialized & WWW catches fire

1989

Vastly Improved Programmer Productivity: Hardware, Tools, Training, Patterns

2009

Automation Of Knowledge Work: Original Data Stored on Hard Disk 2,593

Mb/s Yanni’s Law:

PB

2x/6yrs

1,616

3000x

100x

64x

924

508 18 0.56

1.6

‘93

‘95

4.5

‘00

‘04

‘09

‘71

‘77

‘83

‘89

‘95

‘01

‘07

23

37

69

‘95

‘96

‘97

144

‘98

278

‘99

‘00

‘01

‘02

‘03

3.

IT-DrivenTransformation Through Data-Driven Dashboards

DTV.gov

Massive stakeholder base.

Examples DTV.gov IMPACT:

Billy Casper Golf Dirty data every month; clean data daily, integrate.

Broadband.gov Strategy creation; communicate multiple constituencies.

Portfolio Management Rapid training under fast growth; early problem warning, scale.

- Inform public, private policy stakeholders - Coordinate congressional and grassroots outreach - Guide roll-out

3.

IT-DrivenTransformation Through Data-Driven Dashboards

DTV.gov

Massive stakeholder base.

Examples Billy Casper Golf IMPACT:

Billy Casper Golf Dirty data every month; clean data daily, integrate.

Broadband.gov Strategy creation; communicate multiple constituencies.

Portfolio Management Rapid training under fast growth; early problem warning, scale.

- Streamline inventory management - Accuracy of financial data - Shorten M & A cycle

3.

IT-DrivenTransformation Through Data-Driven Dashboards

DTV.gov

Massive stakeholder base.

Examples Broadband.gov IMPACT:

Billy Casper Golf Dirty data every month; clean data daily, integrate.

Broadband.gov Strategy creation; communicate multiple constituencies.

Portfolio Management Rapid training under fast growth; early problem warning, scale.

- Communicates progress with development of plan - Invites public participation - Integrates public and private issues - Collects and shares policy drivers - Represents online version of National Broadband Plan in progress - Crowdsourcing

3.

IT-DrivenTransformation Through Data-Driven Dashboards

DTV.gov

Massive stakeholder base.

Examples Portfolio Management IMPACT:

Billy Casper Golf Dirty data every month; clean data daily, integrate.

Broadband.gov Strategy creation; communicate multiple constituencies.

Portfolio Management Rapid training under fast growth; early problem warning, scale.

- Enable growth - Drive consistency and predictability - Inform stakeholders

4.

IT-DrivenTransformation Through Data-Driven Dashboards

Summary

KEY TAKEAWAYS Source operational data: The source data must be a natural by-product of an existing business process. If it's not, change the business process to get it, don't add extra reporting requirements.

Keep focus on KPIs: Concentrate on a few simple, readily computable KPIs that most directly measure what you want to influence or communicate.

Manage Behavior: The transparency achieved provides a stunning opportunity for behavior modification. But, don't underestimate the effort required to institutionalize adoption, lest data quality suffer.