Unilever | The Future of SupplierNet

Transcription

Unilever | The Future of SupplierNet
Beyond the Data – Actionable Insights from
Big Data Analytics & Date Science
Mark Hanson, EMEA Director
Saama Technologies
Talk Outline
Actionable Insights from Big Data
Analytics & Date Science
•
Changing landscape of analytics within business
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Climbing the Analytics Maturity Curve
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Tensions within the Enterprise
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Analytics Case Studies –
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Patient /Consumer Sentiment Analytics
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Retail /Merchant Analytics
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Telco Network Analytics – Mobile Toll Free Video
Who We are & Our Connection with Unisys
 Pure-play Data & Analytics – ’97
 Channel partner to Unisys -
 Consulting and Solutions focused
 Supporting Unisys to address it’s client’s
 Platform independent approach
future data analytics challenges
 Innovative IP-based solutions
 700+ employees, US, EMEA & India.
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Non-Negotiable
Demands on Today’s
Analytics
• Analytics today is all About Speed!
– Shortening the cycle to near real time insights...
– Creating organization flexibility & control to adapt
analytics continuously...
– Focus on driving analytics at the business process
& applications level
– Connected to everyone, data sourced from
anywhere.... Mobile analytics
– Your vertical, your ecosystem’s data most
impactful on business projects
Big Data Applications
Predictive /
Prescriptive Analytics
Dashboards & Reporting
Strategy & Data Architecture
Integrate Data
Record Transactions
Business Enablement
Climbing the Analytics Maturity Model
Derive Information
Enhanced
Decision Making
Best Practice Collaboration
Role-Based Guided System
Scope
3 key learnings
• Build an analytics strategy where ever you are...
• Parts of the organization will be at different maturities
• Few organizations are truly data driven
Inside Out, Moving to Outside In
HR
Business Analytics
Analytic Tools
Core IT
IT// Ops
Marketing
& Sales
Risk
Management
Emerging need to support line of business & ability to do this is where real impact can be made
Consistent Trends
 LOB is driving more focus on analytics
 Data quality and data access is now in the spotlight
 Major imbalance between LOB needs and IT capability and
capacity
 Enterprises looking to build an ability to meet LOB needs
 Seeking balance between analytics needs and infrastructure
needs
 Major refactoring projects – both cost and capability driven
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Case Studies Generating Insights
Data
Integration
Analysis
Visualization
Data Integration
Pull together data from multiple data
sources, and apply transformations
based on business rules
Analysis
Utilize statistical methods and
calculations to translate data into
business specific KPI’s/Metrics
Visualization
Actionable insights can be conveyed with
intuitive dashboards that allow a guided
path of analysis.
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Case Study 1:
Customer Satisfaction and Net
Promoter Score (NPS)
Patient/Customer Satisfaction and NPS
Context for the use case
Internal
80% of times
Patient Surveys
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External
Where
Patient
Complaints
Call Center Notes
Knowledge and Skills
Care and Concern
Staff -Patient Communication
Care coordination, Facilities
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Doctor / Nurse
notes
On-Boarding Procedures
Billing & Claims
Process Adherence
Ease of Use Systems
Social Media
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GOV Sites / Rankings
Facility Access
Parking
Wait Times
Call Center experience
What
Performance Analysis over time, geo, service lines, departments, Etc.
Deeper mining for root cause analysis of problems (Internal, External)
Fix issues before they become huge problems (Patient Voice)
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Happy and Loyal Customers
Stay Ahead of the competition
A great caring brand
Catalyst & required fuel for future growth
Why
Patient Satisfaction and NPS
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Patient Satisfaction and NPS
Both Doctors’ and Nurses’ Communications have strong positive relationships with other
categories and the highest correlations with Pain Control
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Nurses’ and Dr.s’ Communications and remains a critical component of an overall
effective patient sentiment strategy
Nurses Cmmnctns
Nurses’
Communication
Dr.s’ Communication
Pain Control
Hospital Staff
Responsiveness
Meds Communication
Discharge Info
Clean Rooms
Quiet Rooms
Doctors
Cmmnctns
Pain
Control
Staff
Respnsvnss
Meds
Cmmnctns
Discharge Info
Clean
Rooms
Quiet
Rooms
1.00
0.64
1.00
0.88
0.78
1.00
0.55
0.27
0.54
1.00
0.25
0.58
0.42
0.43
1.00
0.41
0.41
0.37
0.12
0.12
1.00
0.27
0.12
0.31
0.53
-0.12
0.19
1.00
0.23
0.50
0.36
0.23
0.70
0.26
0.16
1.00
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Case Study 2
Transaction Data to Drive Marketing
Spend and Promotions
Merchant (Retail) Analytics
1) Who are my
customers?
2) What is their
spend?
4) What do I need
to do?
3) Which
segments are at
risk?
Store
Performance
Our
Partners
– A Growing List
Banner performance over time
Category performance across stores or for a store
Ability to analyze performance of top 10 stores for a
banner or across all the banners
Top market baskets across stores
Case Study 3: Mobile Video Analytics Enabling Mobile Service Providers to
Monetize Real-time Network Intelligence
Cisco – Advanced Analytics for Network IT infrastructure
Real-time insights for Converged Networks
Quality of
Service
Active
Devices
Content
Traffic
Data
Plans
Advantage of using Advanced Analytics
Increase speed of delivery for new services and
business models for:
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Converged Solutions
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Machine to Machine
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Mobile Applications
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What Big Data Sources Are Being Crunched?
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Machine generated data
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OSS/BSS
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Unstructured data
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Traditional data from data warehouses
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Core Network – GGSN, CDN
Cell Tower
Radio Access Network
CDR/UDR
Billing
Syslogs
Social Media
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Where are insights from big data being used?
Network Planning & Operations
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Proactive problem solving
Predict network shortfalls
Content & Ad Partners
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Spot trends in advance
Targeted advertisements
Sales
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Pricing Optimization
Offers bundles for micro segments
Marketing
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Identify new markets in the ecosystem
Real-time Campaign optimization
Customer engagement
Customer Care
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Anticipate service issues
Real-time insights into current
network conditions
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Real-time Campaign Optimization
Narrow
down target
audience
through
recommen
ded filtering
Review
Trends for
Key metrics
Identify
“Interesting
Data
Patterns”
to Explore
Set Goals
Set
Targets
Review
Estimates
Thank you & Talk to us!
Offices around the world
Tel. 408.371.1900 or 888.205.3500
Email: [email protected]
www.saama.com
www.linkedin.com/company/saama-technologies