10. 10
How are KPIs such as traffic and sales
changing over time ?
Can I understand and steer
customers across all touchpoints?
Can I make real-time reports and self-service
data tools available across my organization?
Stage 2: Bigger Questions
Long-term view
Breakdown of
data silos
Enterprise
use of data
16. 16
How can I customize product
recommendations for each visitor?
How can I prevent valuable
customers from leaving?
Can I forecast future demand
for my products?
Stage 3: Data Science and Big Data
17. Business Goals
Analytic
Projects Data Technology Staffing
Customers quickly find products
that appeal to them
Recommender
Engine
Product features
Click Stream
Sales records
Retain valuable customers Churn analysis
Customer profiles
Multi-touchpoint data
Historic churn data
Forecast product demand
Statistical model or
deep learning
Web analytics data
Social media data
Sales data
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Stage 3: Data Science and Big Data
19. 3-6
months
1year3year
ContinuedA/Btests
Analytics Road Map
First Focus Area Second Focus Area Third Focus Area
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6
Analytic Leadership
14
20. 2
Suggested Hiring Order
Leadership for data and analytics program
1 Business Analysts
6 Web Analyst (Dedicated)
3 Date Warehousing Experts
4 Visualization Experts (Reports and Dashboards)
5 Data Scientists (Machine Learning, Statistics, etc.)
15