This document provides an overview of analytics and discusses CDW's strategic approach to analytics solutions. It describes analytics as a collection of solutions that allow organizations to turn large amounts of data into actionable information. The document presents analytics as a journey with increasing levels of complexity and value, from manual reporting to predictive and prescriptive analytics. It then provides examples of how CDW has helped different organizations implement analytics solutions to address challenges and gain insights.

1. Waypoints
Guide for Your
Organization’s
Analytics
Journey

2. About Your Presenter
• Sr. Analytics Solution Architect at CDW
focused on solutions for Healthcare and
Education
• Been with CDW for 17 years
• Thesis research on developing predictive
models for identifying patients at risk for
premature readmission to hospitals
(Northwestern MS in Predictive Analytics)
• Helped customers with enterprise software
solutions for the past 19 years in various roles
including as developer, consultant and pre-
sales resource
• Father of 3 daughters, live in Appleton, WI
Phil Salm
email: phil.salm@cdw.com
Twitter: @PhilSalm

3. Waypoints Guide for Your Organization’s Analytics Journey

4. How accurate is your model?

5. WHAT IS ANALYTICS?
CDW’s strategic approach to Analytics
solutions helps you to achieve your business
goals with data-driven strategies.
Analytics is a collection of solutions that allow
organizations to turn their large amounts of data
into actionable information which will provide
them a competitive advantage, better services
their customers, or make better organizational
decisions.

6. Value
Complexity
ANALYTICS ISN’T A TOOL — IT’S A JOURNEY
Manual
Reporting
Basic Data
Visualization and
Business Intelligence
Data Methodology
and Strategy
Advanced Insights
and Modeling
Predictive and
Prescriptive Analytics

7. Value
Complexity
ANALYTICS ISN’T A TOOL — IT’S A JOURNEY
Manual
Reporting
Basic Data
Visualization and
Business Intelligence
Data Methodology
and Strategy
Advanced Insights
and Modeling
Predictive and
Prescriptive Analytics

8. Value
Complexity
ANALYTICS ISN’T A TOOL — IT’S A JOURNEY
Manual
Reporting
Basic Data
Visualization and
Business Intelligence
Data Methodology
and Strategy
Advanced Insights
and Modeling
Predictive and
Prescriptive Analytics

9. BI Implementation for Small Healthcare Provider
EMR
HR
Financial
Pharmacy
Dental
Custom
Apps
• Government required reporting in
order to qualify for reimbursements
• Data needed for reports scattered
across many different systems
• Manual data export and
combination to time intensive –
missed deadlines, resulting in
significant costs
• Didn’t know what BI solution to use

10. Value
Complexity
ANALYTICS ISN’T A TOOL — IT’S A JOURNEY
Manual
Reporting
Basic Data
Visualization and
Business Intelligence
Data Methodology
and Strategy
Advanced Insights
and Modeling
Predictive and
Prescriptive Analytics

11. Mining Company Case
• Manual reports extracted daily into
spreadsheets and sent to corporate HQ
• CDW services engaged to create custom
reports
• Developed enterprise data warehouse in
Azure
• Developed customer reports in Power BI
providing near real-time insight and
exploration capability to executives for
first time

12. Cloud Application Integration with On-prem Data Warehouse

13. Value
Complexity
ANALYTICS ISN’T A TOOL — IT’S A JOURNEY
Manual
Reporting
Basic Data
Visualization and
Business Intelligence
Data Methodology
and Strategy
Advanced Insights
and Modeling
Predictive and
Prescriptive Analytics

14. Predictive Analytics for Insurance Provider
• Insurance provider was
struggling for method to
easily predict whether a
claim was worth of being
further reviewed for
subrogation.
• Limited internal analysis
resources
• Provided IBM SPSS Modeler
and Quick Start services to
help train and develop initial
models with no coding
required.

15. Value
Complexity
ANALYTICS ISN’T A TOOL — IT’S A JOURNEY
Manual
Reporting
Basic Data
Visualization and
Business Intelligence
Data Methodology
and Strategy
Advanced Insights
and Modeling
Predictive and
Prescriptive Analytics

16. IOT Analytics for Large Retailer
• Limited visibility into performance of robots in distribution warehouse
• Could not see performance over time and understand why robots were failing at times.
• Unscheduled robot downtime led to delays and increased operational costs

17. IOT Analytics for Large Retailer

18. IOT Analytics for Large Retailer

19. IOT Analytics for Large Retailer

20. IOT Analytics for Large Retailer
• When robot predicted to fail
• Automatically place order for new tires
• Automatically generate work order for
technician to replace tires
• Resulted in improved throughput of 4% per
distribution center, as well as significant
savings in operational and supply chain costs

21. CDW Analytics: UNLOCKING DATA’S POSSIBILITIES
IoT
ANALYTICS
IT
OPERATIONAL
ANALYTICS
DATA
MANAGEMENT
BUSINESS
INTELLIGENCE
MACHINE
LEARNING

22. THANK YOU