using it to fulfill a prevention mandate dièse consulting carly howarth david lafrenière...
DESCRIPTION
IntroductionAnalysisRecommendationImplementationConclusion Mandate How can SAAQ reduce the number of accidents on the road by leveraging information technologies? Key Considerations Mandate Accidents will plateau Business Intelligence Stakeholder benefits Road user privacyTRANSCRIPT
Using IT to Fulfill a Prevention Mandate
Dièse Consulting
Carly Howarth David Lafrenière
Pierre-Olivier Paquin
SAAQ
Introduction Analysis Recommendation Implementation Conclusion
Situation Overview
Where are you now:• Many improvements in
road safety• Worried it eventually
plateau • Looking for a new way to
influence road users• In process of
implementing an ERP
Where you want to be:• A fully integrated
organization• New methods to influence
road safety• Reduction of OECD to 3.2
deaths for 100 000 by 2020
Introduction Analysis Recommendation Implementation Conclusion
Mandate
How can SAAQ reduce the number of accidents on the road by leveraging information technologies?
Key Considerations
Mandate
Accidents will plateau
Business Intelligence
Stakeholder benefits
Road user privacy
Introduction Analysis Recommendation Implementation Conclusion
Accidents Will Plateau
Have decreased immenselyCannot rely on this for future
success
Cellphone usage & impaired driving increasing
Past prevention methods were very general
Introduction Analysis Recommendation Implementation Conclusion
Accidents Will Plateau
Have decreased immenselyCannot rely on this for future
success
Cellphone usage & impaired driving increasing
Past prevention methods were very general
There is a stressed importance on a new method to promote road safety for future success
Introduction Analysis Recommendation Implementation Conclusion
Business Intelligence
Thorough analysis and presentation of data
Not just a regular cause and effect analysis
Detailed reports for executive decision making
Deciphers in-depth inefficiencies, trends &
relationships
Introduction Analysis Recommendation Implementation Conclusion
Business Intelligence
Thorough analysis and presentation of data
Not just a regular cause and effect analysis
Detailed reports for executive decision making
Deciphers in-depth inefficiencies, trends &
relationships
SAAQ must evaluate the option of integrating business intelligence in their new technology structure
Introduction Analysis Recommendation Implementation Conclusion
Stakeholder Benefits
House Model - VisionContribution of many
stakeholders – private & public
Necessary complimentary expertise
Help the in effectiveness of road safety initiatives
Introduction Analysis Recommendation Implementation Conclusion
Stakeholder Benefits
House Model - VisionContribution of many
stakeholders – private & public
Necessary complimentary expertise
Help the in effectiveness of road safety initiatives
SAAQ must consider how this new information technology will benefit the stakeholders involved
Introduction Analysis Recommendation Implementation Conclusion
Road User Privacy
Public has shown resistance to be monitored
Apps, trackers, online
SAAQ is a government institution
Legal implications
Introduction Analysis Recommendation Implementation Conclusion
Road User Privacy
Public has shown resistance to be monitored
Apps, trackers, online
SAAQ is a government institution
Legal implications
SAAQ must consider the public`s negative perception towards monitoring
Introduction Analysis Recommendation Implementation Conclusion
Alternatives
ERP implementation focus
Mobile Applications with tracker and ERP
Integrated ERP and business intelligence solution
1
2
3
Introduction Analysis Recommendation Implementation Conclusion
Decision Criterions
Road user privacy Stakeholder Benefit
Cost In line with SAAQ vision
Introduction Analysis Recommendation Implementation Conclusion
Decision Criterions
Road user privacy Stakeholder Benefit
Cost In line with SAAQ vision
Introduction Analysis Recommendation Implementation Conclusion
Decision Matrix
ERP focus Mobile App with tracker
Integrated ERP & BI
Road user privacy
Stakeholder Benefit
Cost
In line with vision
Introduction Analysis Recommendation Implementation Conclusion
Recommendation
Integrated ERP and business intelligence solution
Accidents will plateau
Business Intelligence
Stakeholder benefits
Road user privacy
Better knowledge to
prevent
Being implemented
Provide more accurate
information
No monitoring involved by
SAAQ
Introduction Analysis Recommendation Implementation Conclusion
Implementation At A Glance
Integrate ERP & BI solution
Hire
Start to gather data
Change management
Training & information
Meeting with stakeholders
Reward program introduction
Training of the higher management
Select ERP vendor & business intelligent (BI) solution
Short Term (0-3)
Medium Term (3-12)
Long Term (1-3)
Introduction Analysis Recommendation Implementation Conclusion
Short Term (0-3)
Training Choose ERP Vendor
Make sure upper management is
onboard
Selection criteria added: integration
Get approval from the governance board
Create a governance board (including PM &
Mr. Malenfant) Leverage cost Minimum
customizations needed
Tools to understand the project
Solutions (i.e. SAP & Oracle)
Introduction Analysis Recommendation Implementation Conclusion
Medium Term (3-9)
Integration of ERP & BI solution Hiring/Partnerships Data
Deployment in phases Change management expert
Integrate survey collection
Focus training on ERP Data scientists Survey platform such as SurveyMonkey
Change management to accept & integrate
change
Buy data from social medias, traffic,
insurance firms
Outsource data storage (AWS, CGI,
IBM)
Introduction Analysis Recommendation Implementation Conclusion
Long Term (1-3)
Training & Information Adaptation to stakeholders
Report capabilities Online training for
employees (company-wide)
Yearly conference
I.e. Marketing can target specific groups
Training plans for every employee
Discussions on the data/form provided
Internal & external uses
Related to annual reviews Constant improvement
Introduction Analysis Recommendation Implementation Conclusion
Long Term (1-3) – Continued
Distribution of information Reward Program
Brief period to wait After 5 years of spot-less driving
Will be integrated to software
Eligible to 50% reduction of permit
In the Public Administration Act to
disclose data Up to 30 years old
Introduction Analysis Recommendation Implementation Conclusion
Financials
13Months cash back
period
$39 350 000Total acquisition cost
12Average return per
dollar invested
20%Operational cost of
FY0
Introduction Analysis Recommendation Implementation Conclusion
Key Performance Indicators
OECD level• 3.2 deaths per 100 000 residents by 2020• Obtained through BI data
Cost reduction• Reduction of remittances payouts by 5%• Reduction of administrative costs by 7%• All within 5 years
Accident reduction for young drivers
• 60% of users benefit the rebate
Introduction Analysis Recommendation Implementation Conclusion
Risks, Mitigations & Contingencies
SAAQ data privacy Outsource to trusted
company, proven track record
New vendor, contract penalty
Road user resistance to survey
Offering incentive, training agents on
the field
New incentives, use the nation-wide
Canadian survey
Accidents continue to plateau
Invest in BI solution, thorough analyses
Review other solutions using the
BI data
Introduction Analysis Recommendation Implementation Conclusion
Conclusion
Integrated ERP and business intelligence solution
Better knowledge to
prevent
Being implemented
Provide more accurate
information
No monitoring involved by
SAAQ
How can SAAQ reduce the number of accidents on the road by leveraging information technologies?
Introduction Analysis Recommendation Implementation Conclusion
Financials (in millions of $)
Project costFY1 FY2 FY3 FY4 FY5
20.95 4.2 4.5 4.7 5 39.35
Efficiencies gainFY1 FY2 FY3 FY4 FY5
Administrative cost reduction(%) 0 2 4 6 6.5Remittances Cost Reduction ( %)0.5 2.5 2.8 3.5 5
15 75 90 105 1500 8 16 24 26
15 83 106 129 176 509
Introduction Analysis Recommendation Implementation Conclusion
Financials
Expenditure Cost (in millions$)BI solution (3500 * 2000) 7
Survey rebates (15* 500 000) 7.5
Change management expert 0.125
Training tool 1.9
External data source 1
Project Manager 0.26
Online survey 0.03
Data scientists (5*150 000) 0.75
TOTAL 20.95