presentation on data-driven dashboards
TRANSCRIPT
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Larry Fitzpatricke: [email protected]: 301.656.4030www.computechinc.com
IT-Driven Transformation Through Data-Driven Dashboards
Presented At:
10th Annual CIO Forum
1964 Michael Scott Morton first articulates DSS concept at HBS
1. What Is It? IT-DrivenTransformation Through Data-Driven Dashboards
DATA DRIVEN DASHBOARDSA 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.
DTV.gov operational systems
userexperience
data cube
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review
1964, Michael Scott Morton first articulates DSS concept at HBS1971, DSS term first used in publication by Gorry& Scott Morton, Sloan Management Review
RIARIAGIS
UXOR
2. Why Now? IT-DrivenTransformation Through Data-Driven Dashboards
Fifty Years Of Cumulative Experience
FOUR FACTORS CONVERGE
3000x 64x
1995
Internet commercialized & WWW catches fire
1982
Sprague & Carlson publish
seminal DSS framework.
1971
1964
Michael Scott Morton first articulates DSS concept
at HBS.
Howard Dressner defines BI - Business Intelligence
20091989
Significant early Data Driven DSS in production
(Klaas).
DSS term first used in publication by Gorry& Scott Morton, Sloan
Management Review. 1974
Yanni’s Law:
‘07‘01‘95‘89‘83‘77‘71
Data Driven Dashboards
tools
2004‘02‘00‘99‘97‘95
1
Automation Of Knowledge Work: Original Data Stored on Hard Disk
Vastly Improved Programmer Productivity: Hardware, Tools, Training, Patterns
WAN Bandwidth For A Typical Institution
1.6
150
18 4.5
0.56
‘09‘04‘00‘95‘93
100x
‘03‘02‘01‘00‘99‘98‘97‘96‘95
1,616
924
27814437
2,593
508
69 23
Mb/s
PB
2x/6yrs
3. Examples IT-DrivenTransformation Through Data-Driven Dashboards
Portfolio ManagementRapid training under fast growth; early problem warning, scale.
Broadband.govStrategy creation; communicate multiple constituencies.
Billy Casper GolfDirty data every month; clean data daily, integrate.
DTV.govMassive stakeholder base.
IMPACT:
- Inform public, private policy stakeholders- Coordinate congressional and grassroots outreach- Guide roll-out
DTV.gov
3. Examples IT-DrivenTransformation Through Data-Driven Dashboards
Portfolio ManagementRapid training under fast growth; early problem warning, scale.
Broadband.govStrategy creation; communicate multiple constituencies.
Billy Casper GolfDirty data every month; clean data daily, integrate.
DTV.govMassive stakeholder base.
IMPACT:
- Streamline inventory management- Accuracy of financial data- Shorten M & A cycle
Billy Casper Golf
3. Examples IT-DrivenTransformation Through Data-Driven Dashboards
Portfolio ManagementRapid training under fast growth; early problem warning, scale.
Broadband.govStrategy creation; communicate multiple constituencies.
Billy Casper GolfDirty data every month; clean data daily, integrate.
DTV.govMassive stakeholder base. Broadband.gov
IMPACT:
- 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. Examples IT-DrivenTransformation Through Data-Driven Dashboards
Portfolio ManagementRapid training under fast growth; early problem warning, scale.
Broadband.govStrategy creation; communicate multiple constituencies.
Billy Casper GolfDirty data every month; clean data daily, integrate.
DTV.govMassive stakeholder base.
IMPACT:
- Enable growth- Drive consistency and predictability- Inform stakeholders
Portfolio Management
4. Summary IT-DrivenTransformation Through Data-Driven Dashboards
KEY TAKEAWAYS
Manage Behavior:
Keep focus on KPIs:
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.
Concentrate on a few simple, readily computable KPIs that most directly
measure what you want to influence or communicate.
The transparency achieved provides a stunning opportunity for behavior
modification. But, don't underestimate the effort required to
institutionalize adoption, lest data quality suffer.