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ANALYTICAL TRANSFORMATION
“”Doing Analysis” to “Being Analytical” by having data driven culture.
PRESENTED BY Kapil Singhal
Service offerings for Analytical Transformation
REAL-TIME INTELLIGENCE ANALYTICS
• Analysis of research & development data
• Analysis of Claims and Cost Data
• Analysis of Product data
• Revenue Cycle Analytics
• Customer Analytics
• Supply Chain Analytics
• Sales & Marketing Analytics
• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics
• Diagnostic Analytics
BUSINESS INTELLIGENCE ANALYTICS
RELATIVE ANALYTICS
Use Anytime , Anywhere and Any type Data
SOCIAL
MEDIA
CLOUD BIG DATA
INTERNET
OF THINGS
Unstructured
data
CYBER
SECURITY
Analytics and access to the
right data enable new
insights and decision-rich
information, and allows us
make use of such data.
Virtualize and consume
infrastructure, platforms, and
applications as a service (XaaS)
enables better scalability and
flexibility.
Enable new ways and drive
expectations of interaction,
personalization, and building
relationships within organization
and with customers.
Protection of information
systems from theft or
damage to the hardware, the
software, and the
information of our users.
The uninterrupted trend of
using unstructured data how
people interact, use data and
how businesses Use this
information.
Connected devices of all kinds
and cheap integrations
everywhere create large
amounts of data in need of
effective management.
IMPLEMENTATION TIMELINE
14
4
Q1 Q2 Q3 Q4
2023
Q1 Q2 Q3 Q4
2024
Q1 Q2 Q3 Q4
2025
20 16 12 20 18
10 18
3m(USD) 8m(USD) 15m(USD)
.5m(USD) 2m(USD)
Team Structure
Roles Year 1 Per Unit CTC Total CTC Year 2 Per Unit CTC Total CTC Year 3 Per Unit CTC Total CTC
Data Science Team Leader 1 7500000 7500000 1 8250000 8250000 1 9075000 9075000
Data Scientist 6 1800000 10800000 10 1980000 19800000 15 2178000 32670000
Data Analyst 2 1200000 2400000 4 1320000 5280000 6 1452000 8712000
Data Architect 1 4000000 4000000 2 4400000 8800000 4 4840000 19360000
Data Translator 2 1500000 3000000 2 1650000 3300000 4 1815000 7260000
Machine Learning Engineer 4 1000000 4000000 8 1100000 8800000 12 1210000 14520000
Data Engineer 4 1800000 7200000 8 1980000 15840000 16 2178000 34848000
Data Visualization Developer 6 1000000 6000000 8 1100000 8800000 14 1210000 16940000
JS Developer( React/ Angular/ Node 2 800000 1600000 4 880000 3520000 6 968000 5808000
Devops Engineer 2 1200000 2400000 3 1320000 3960000 6 1452000 8712000
QA Engineer 2 6000000 12000000 6 6600000 39600000 8 7260000 58080000
Sales and Marketing Manager 1 1000000 1000000 2 1100000 2200000 2 1210000 2420000
Sales and Marketing Executive 1 600000 600000 4 660000 2640000 6 726000 4356000
34 62 100
Total in INR 62500000 130790000 222761000
Total in USD .85M 1.8M 3M
Team Structure(Year 2023)
Q1 Q1 Cost Q2 Q2 Cost Q3 Q3 Cost Q4 Q4 Cost
Roles
Data Science Team Leader 625000 1 1875000 1 1875000 1 1875000 1 1875000
Data Scientist 150000 2 900000 3 1350000 5 2250000 6 2700000
Data Analyst 100000 0 0 1 300000 2 600000 2 600000
Data Architect 333333.3 1 1000000 1 1000000 1 1000000 1 1000000
Data Translator 125000 0 0 1 375000 2 750000 2 750000
Machine Learning Engineer 83333.33 1 250000 3 750000 4 1000000 4 1000000
Data Engineer 150000 1 450000 3 1350000 4 1800000 4 1800000
Data Visualization Developer 83333.33 2 500000 4 1000000 5 1250000 6 1500000
JS Developer( React/ Angular/ Node 66666.67 0 0 1 200000 2 400000 2 400000
Devops Engineer 100000 1 300000 1 300000 2 600000 2 600000
QA Engineer 50000 1 150000 2 300000 2 300000 2 300000
Sales and Marketing Manager 83333.33 1 250000 1 250000 1 250000 1 250000
Sales and Marketing Executive 50000 1 150000 1 150000 1 150000 1 150000
Total(INR) 5825000 9200000 12225000 12925000
Total Resourcing Cost(USD) 77666.67 0 122666.667 0 163000 0 172333.33
Total Team cost (USD) = .55M
BUDGET ALLOCATION
2.9M
.8M
.25M
.05
.5M
.1M
.3M
.1M
Resourcing
Marketing and Sales
Cloud Services
Infrastructure and Licensing
Year 2023 Year 2024
Large portion of the Budget
of will be spending in
resourcing
Training budget will be the
part of Resourcing budget
KEY TAKEAWAYS
1.8M
.2M
.1M
Year 2025
.125
.025M
.25M
.027M
.16M
BUDGET ALLOCATION( FY 2023-24)
.17M
.08M
.125
.125
.03M
.02M
.003M
.04M
Resourcing
Marketing and Sales
Cloud Services
Infrastructure and Licensing
Q1 2023 Q2 2023
Large portion of the Budget
of will be spending in
resourcing
Training budget will be the
part of Resourcing budget
KEY TAKEAWAYS
.12M
.03M
.25M
Q4 2023
Q3 2023
IMPLEMENTATION PLAN
Implementation
Readiness Stage Gate
Review
• Review and validate implementation readiness
outputs
• Facilitate Phase 1 Go/No-Go decision
Executive Boot Camp
• One-day Executive team workshop to align executive
understanding and expectations
• Knowledge of Analytics implementation best
practices
WORKSTREAM KEY ACTIVITY
Project Strategy
Articulation
• Translate executive team’s vision into specific
Analytics project goals, objectives, and measures
• Drive Decision-making to address areas of
misalignment
Stakeholder
Assessment/ Plan
• Assess level of alignment and buy-in
• Identify potential sources of resistance
Business Decisions/
Ops Alignment
• Facilitate key operational decisions among
executive team
• Engage, create awareness and buy-in
Executive/Managemen
t Comms
• Define “top-down” communications plan
• Execute executive team and management
communications
Ensure executive alignment
KEY OBJECTIVES
Reassure clarity of vision
Translate executive vision
into specific project goals
and objectives
Define project governance
processes
Engage the executive team and
create ownership
Nonstop Customer Experience Model
Five Levels of Evolution
5: Innovate - Expand top line
4: Optimize - Optimize bottom line
3: Integrate - Enterprise view
2: Consolidate - Departmental silos
1: Operate - Individual focus
VALUE
PRESERVATION
Analytics
Capability Model
Management: Board & Stakeholders
Core Functions
Risk
&
Compliance
Growth
&
Operations
• New business models
(content monetization)
• Distribution channels
• Strategic partners
• Talent management
• Changing user needs
• Unique content
• Licensing and rights
management
• Contract management
• Regulatory compliance
• Security and fraud
• Data privacy
• Piracy
• Content access/storage
• Technology platforms
• Changing technology
• Digital org. structure
• Digital business KPIs
• Cost of content
• Revenue recognition
• New processes and systems
required
• Controls vs. performance
• Billing systems
• Capital spend
MANAGEMENT: BOARD & STAKEHOLDERS
CORE FUNCTIONS
RISK
&
COMPLIANCE
GROWTH
&
OPERATIONS
TRANSFORMATION MAPPING
● Contract management
● Regulatory compliance
● Data privacy
● Security and fraud
● Controls vs.
performance
● Revenue recognition/settlements
● Self-reporting env.
● Billing systems
● Capital spend
● New processes and systems required
● Digital business KPIs
● Service pricing/packaging
VALUE PRESERVATION
STRATEGIC GROWTH
Analytics
● Unique content
● Changing consumer needs
● Talent management
● Share of wallet ● Strategic partners
● Distribution channels
● New business models (content monetization)
● Licensing and rights management ● Piracy
● Content access and storage
● Digital org. structure
● Changing technology
● Cost of content
● Technology platforms
Levers to Analytical Transformation
Demand
Generation
Reach &
Selection
Purchase
Process
Customer
Experience
New Business
Models
Agility
Asset
Utilization
Process
Efficiency
Business Driver Levers Business Enabler Levers
OPERATIONAL IMPROVEMENT
GROWTH DRIVERS
DIGITAL TRANSFORMATION
PredictuVu ProposalV1.pptx
PredictuVu ProposalV1.pptx

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PredictuVu ProposalV1.pptx

  • 1. ANALYTICAL TRANSFORMATION “”Doing Analysis” to “Being Analytical” by having data driven culture. PRESENTED BY Kapil Singhal
  • 2. Service offerings for Analytical Transformation REAL-TIME INTELLIGENCE ANALYTICS • Analysis of research & development data • Analysis of Claims and Cost Data • Analysis of Product data • Revenue Cycle Analytics • Customer Analytics • Supply Chain Analytics • Sales & Marketing Analytics • Descriptive Analytics • Predictive Analytics • Prescriptive Analytics • Diagnostic Analytics BUSINESS INTELLIGENCE ANALYTICS RELATIVE ANALYTICS
  • 3. Use Anytime , Anywhere and Any type Data SOCIAL MEDIA CLOUD BIG DATA INTERNET OF THINGS Unstructured data CYBER SECURITY Analytics and access to the right data enable new insights and decision-rich information, and allows us make use of such data. Virtualize and consume infrastructure, platforms, and applications as a service (XaaS) enables better scalability and flexibility. Enable new ways and drive expectations of interaction, personalization, and building relationships within organization and with customers. Protection of information systems from theft or damage to the hardware, the software, and the information of our users. The uninterrupted trend of using unstructured data how people interact, use data and how businesses Use this information. Connected devices of all kinds and cheap integrations everywhere create large amounts of data in need of effective management.
  • 4. IMPLEMENTATION TIMELINE 14 4 Q1 Q2 Q3 Q4 2023 Q1 Q2 Q3 Q4 2024 Q1 Q2 Q3 Q4 2025 20 16 12 20 18 10 18 3m(USD) 8m(USD) 15m(USD) .5m(USD) 2m(USD)
  • 5. Team Structure Roles Year 1 Per Unit CTC Total CTC Year 2 Per Unit CTC Total CTC Year 3 Per Unit CTC Total CTC Data Science Team Leader 1 7500000 7500000 1 8250000 8250000 1 9075000 9075000 Data Scientist 6 1800000 10800000 10 1980000 19800000 15 2178000 32670000 Data Analyst 2 1200000 2400000 4 1320000 5280000 6 1452000 8712000 Data Architect 1 4000000 4000000 2 4400000 8800000 4 4840000 19360000 Data Translator 2 1500000 3000000 2 1650000 3300000 4 1815000 7260000 Machine Learning Engineer 4 1000000 4000000 8 1100000 8800000 12 1210000 14520000 Data Engineer 4 1800000 7200000 8 1980000 15840000 16 2178000 34848000 Data Visualization Developer 6 1000000 6000000 8 1100000 8800000 14 1210000 16940000 JS Developer( React/ Angular/ Node 2 800000 1600000 4 880000 3520000 6 968000 5808000 Devops Engineer 2 1200000 2400000 3 1320000 3960000 6 1452000 8712000 QA Engineer 2 6000000 12000000 6 6600000 39600000 8 7260000 58080000 Sales and Marketing Manager 1 1000000 1000000 2 1100000 2200000 2 1210000 2420000 Sales and Marketing Executive 1 600000 600000 4 660000 2640000 6 726000 4356000 34 62 100 Total in INR 62500000 130790000 222761000 Total in USD .85M 1.8M 3M
  • 6. Team Structure(Year 2023) Q1 Q1 Cost Q2 Q2 Cost Q3 Q3 Cost Q4 Q4 Cost Roles Data Science Team Leader 625000 1 1875000 1 1875000 1 1875000 1 1875000 Data Scientist 150000 2 900000 3 1350000 5 2250000 6 2700000 Data Analyst 100000 0 0 1 300000 2 600000 2 600000 Data Architect 333333.3 1 1000000 1 1000000 1 1000000 1 1000000 Data Translator 125000 0 0 1 375000 2 750000 2 750000 Machine Learning Engineer 83333.33 1 250000 3 750000 4 1000000 4 1000000 Data Engineer 150000 1 450000 3 1350000 4 1800000 4 1800000 Data Visualization Developer 83333.33 2 500000 4 1000000 5 1250000 6 1500000 JS Developer( React/ Angular/ Node 66666.67 0 0 1 200000 2 400000 2 400000 Devops Engineer 100000 1 300000 1 300000 2 600000 2 600000 QA Engineer 50000 1 150000 2 300000 2 300000 2 300000 Sales and Marketing Manager 83333.33 1 250000 1 250000 1 250000 1 250000 Sales and Marketing Executive 50000 1 150000 1 150000 1 150000 1 150000 Total(INR) 5825000 9200000 12225000 12925000 Total Resourcing Cost(USD) 77666.67 0 122666.667 0 163000 0 172333.33 Total Team cost (USD) = .55M
  • 7. BUDGET ALLOCATION 2.9M .8M .25M .05 .5M .1M .3M .1M Resourcing Marketing and Sales Cloud Services Infrastructure and Licensing Year 2023 Year 2024 Large portion of the Budget of will be spending in resourcing Training budget will be the part of Resourcing budget KEY TAKEAWAYS 1.8M .2M .1M Year 2025
  • 8. .125 .025M .25M .027M .16M BUDGET ALLOCATION( FY 2023-24) .17M .08M .125 .125 .03M .02M .003M .04M Resourcing Marketing and Sales Cloud Services Infrastructure and Licensing Q1 2023 Q2 2023 Large portion of the Budget of will be spending in resourcing Training budget will be the part of Resourcing budget KEY TAKEAWAYS .12M .03M .25M Q4 2023 Q3 2023
  • 9. IMPLEMENTATION PLAN Implementation Readiness Stage Gate Review • Review and validate implementation readiness outputs • Facilitate Phase 1 Go/No-Go decision Executive Boot Camp • One-day Executive team workshop to align executive understanding and expectations • Knowledge of Analytics implementation best practices WORKSTREAM KEY ACTIVITY Project Strategy Articulation • Translate executive team’s vision into specific Analytics project goals, objectives, and measures • Drive Decision-making to address areas of misalignment Stakeholder Assessment/ Plan • Assess level of alignment and buy-in • Identify potential sources of resistance Business Decisions/ Ops Alignment • Facilitate key operational decisions among executive team • Engage, create awareness and buy-in Executive/Managemen t Comms • Define “top-down” communications plan • Execute executive team and management communications Ensure executive alignment KEY OBJECTIVES Reassure clarity of vision Translate executive vision into specific project goals and objectives Define project governance processes Engage the executive team and create ownership
  • 10. Nonstop Customer Experience Model Five Levels of Evolution 5: Innovate - Expand top line 4: Optimize - Optimize bottom line 3: Integrate - Enterprise view 2: Consolidate - Departmental silos 1: Operate - Individual focus
  • 11. VALUE PRESERVATION Analytics Capability Model Management: Board & Stakeholders Core Functions Risk & Compliance Growth & Operations • New business models (content monetization) • Distribution channels • Strategic partners • Talent management • Changing user needs • Unique content • Licensing and rights management • Contract management • Regulatory compliance • Security and fraud • Data privacy • Piracy • Content access/storage • Technology platforms • Changing technology • Digital org. structure • Digital business KPIs • Cost of content • Revenue recognition • New processes and systems required • Controls vs. performance • Billing systems • Capital spend
  • 12. MANAGEMENT: BOARD & STAKEHOLDERS CORE FUNCTIONS RISK & COMPLIANCE GROWTH & OPERATIONS TRANSFORMATION MAPPING ● Contract management ● Regulatory compliance ● Data privacy ● Security and fraud ● Controls vs. performance ● Revenue recognition/settlements ● Self-reporting env. ● Billing systems ● Capital spend ● New processes and systems required ● Digital business KPIs ● Service pricing/packaging VALUE PRESERVATION STRATEGIC GROWTH Analytics ● Unique content ● Changing consumer needs ● Talent management ● Share of wallet ● Strategic partners ● Distribution channels ● New business models (content monetization) ● Licensing and rights management ● Piracy ● Content access and storage ● Digital org. structure ● Changing technology ● Cost of content ● Technology platforms
  • 13. Levers to Analytical Transformation Demand Generation Reach & Selection Purchase Process Customer Experience New Business Models Agility Asset Utilization Process Efficiency Business Driver Levers Business Enabler Levers OPERATIONAL IMPROVEMENT GROWTH DRIVERS DIGITAL TRANSFORMATION

Editor's Notes

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