Business analytics for Healthcare, Life Science businesses. Trends, Issues, Challenges, process & steps, Business drivers, Market & compliance, Big data and approach to overcome

1. Business Analytics in
Healthcare and Life Sciences
By Sanjay Choubey

2. Analytics in Healthcare & Life Science
Collaboration
Compliance
Research &
Development
Operations
Planning &
Reporting
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

3. Healthcare & Life Sciences organizations are challenged to find ways to get desirable
outcome for the following Business Drivers
Primary Business Drivers
Innovation for Competitive differentiation
Growing revenue
Reducing costs & increasing efficiencies
Acquiring & retaining customers
Increasing operating speed and adaptability
Managing regulatory compliance
Managing risk
Top-line focused
Internally focused
Background: Business Drivers for Healthcare & Life Science
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

4. Inability to get the data
Lack of management bandwidth due to competing priorities
Lack of skills internally in the line of business
Lack of understanding how to use analytics to improve the business
Culture does not encourage sharing information
Ownership of the data is unclear or governance is ineffective
Lack of executive sponsorship
Concerns with the data quality
Perceived costs outweigh the projected benefits
No case for change
Organizational
Data
Financial
Obstacles & Challenges in usage of Analytics
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

5. R&D: Scientific, Market and Compliance will drive change
in the future
 Collaboration will be pervasive
 From identifying the compound to developing,
registering it and marketing it, collaboration
with partners will be key requiring controlled
access and sharing of data
 Targeted treatments will challenge the need
for Phase I-III trials
 Distinction between Phase III and marketed
product will be blurred requiring a compression
of the information chain. Phase III will be
replaced in part by limited licenses and
extensions
 Submissions will be more interactive
 Linear submissions will be replaced with
interactive ones fusing documents and data
with more advanced navigation and search.
Video and imaging will become the norm
 Long term mining of information will be key
 Regulators will wish to go back to challenge
claims
 Research teams will wish to re-use information
and conclusions
Discovery
Development
Regulatory
Marketing
Sales
Manufacturing
Finance & HR
Internal boundaries will be further challenged
and compressed
CROs Providers
PayersResearch
Partners
GovernmentDevelopment
Partners
globally integrated business
and technical environment
for submissions
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

6. Operationalizing analytics: Five-point approach
Approach 1:
Focus on the biggest and
highest value opportunities
Approach 2:
Within each opportunity, start
with questions, not data
Approach 5:
Use an information agenda
to plan for the future
Approach 3:
Embed insights to drive actions and deliver value
Approach 4:
Keep existing capabilities
while adding new ones
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

7. Excite the organization, rally top talent and garner support
Focus on the biggest and highest value
opportunities
Big change requires a powerful spark
Big challenges do NOT equal big risks
Adopt a rigorous operational approach
1
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

8. Shift the focus from data to the insights needed
Within each opportunity, start with
questions, not data
Develop questions that insights should answer, and use to
streamline data collection
Don’t worry about getting all data “perfect” to start
19%
2
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

9. Embed insights to drive actions and
deliver value
New analytic techniques make it more
“real”
Drive action across the organization - regardless of
people’s analytic skill levels
Embed insights into applications and
processes
Leverage use cases, analytic solutions,
optimization, workflow and simulations
3
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

10. Keep existing capabilities while adding
new ones
As adoption spreads, there is a growing demand for a
greater variety of skills and deeper expertise
Use central resources to complement rather
than replace local ones
4
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

11. Big data is getting bigger
Highest priorities require synchronization as they are selectively addressed
through projects
Use an information agenda to plan for the
future
Analytic investments are optimized over time
Governance  Architecture  Currency
Data Management  Analytical Techniques and Toolkits
Integration
Consistency / Standardization
Trustworthiness
5
Analytics Usage
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

12. How to get started?
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

13. How to get started
Pick your spot
Continuous Value Delivery
Prove the value
Biggest and highest value opportunity
Start with questions Embed insights
Add capabilities Information agenda
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

14. Operationalize insights drawn from data: An Example
Applications Business Processes
Policy-holders:
• Personal Insurance
Independent Agents:
• Marketing support
• Sales training and support
• Leads
• Policyholder management
• Field management
• Marketing management
• Agency management
• Analytics governance
• Lead management
• Agent compensation
• Regional sales mgmt
• Campaign mgmt
• Closed-loop lead mgmt
• Marketing resource planning
• Independent Agency mgmt systems
• Online direct channel apps
• Agent alert systems
Process-
Application
Product/Service Value
Data Predictive Models
• Policy application information
• Products owned, renewal, lapses, reactivations
• Service and claims history
• Policy-holder satisfaction data
• Browser/click-through information
• Econometric data, trends, demo/socio-graphic data
• Existing predictive and segmentation models
• Call list Which policy-holder to target for migration?
• Catchers Which agents should get leads?
• Markets Which markets are best suited?
• Triggers Events/timing for passing leads?
• Quality What makes a lead good?
• Value When is it worth it to pass a lead?
• Message What motivates specific segments?
Data-Insight
• Use Cases
• Analytic Solutions
• Optimization
• Workflow
• Simulations
Embed analytic insight
Step 2:
Identify insight
and data that
can solve pain
points and
create value
Step 3:
Embed the
insight into
the
operations
Step 1:
Capture
existing
applications
and
processes
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

15. Driving continued success in aspirational & Experienced
organizations
Experienced
Transformed
Aspirational
•Set a high bar for business relevance and hold it there; keep the
focus on the big issues that everybody values
•Make sure you’re getting the most out of your current resources
and begin adding support specialists
•Confirm your information agenda
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

16. Driving continued success transformed organizations
•Don’t let success make you take on too much
•Build a strong central team with specialized expertise
•Update your information agenda regularly
Aspirational
Experienced
Transformed
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls

17. Thank You
Experience Sharing - Sanjay Choubey, VP-IT - Johnson Controls