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藏经阁-Transforming B2B Sales with Spark Powered Sales Intelligence
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2023-08-26
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藏经阁-Transforming B2B Sales with Spark Powered Sales Intelligence
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Songtao Guo, Wei Di
Transforming B2B Sales
with Spark Powered Sales
Intelligence
Songtao Guo
Sr. Staff & Tech Lead
Data Analytics Data Mining at
LinkedIn
Wei Di
Staff Data Scientist
Data Analytics Data Mining at
LinkedIn
Outline
Overview of
Sales
Intelligence
❏ B2B landscape
❏ Challenges
❏ One-stop solution overview
❏ Derived insightful features from LinkedIn Graph
❏ Centralized Data Mart
❏ B2B Intelligent Engine
❏ Model learning
❏ Model reasoning
❏ Model management
B2B Intelligent
Framework
Overview &
Details
❏ Problem definition
❏ Labelling Logic & Interpretation
❏ Performance & Lessons learned
Case Study
Demand
Generation
Seal the
deal
Onboard &
Retention
Business
Growth
Business
Needs
B2B
Predictive
Modeling
B2B Analytics Landscape
How to prioritize marketing leads?
How much is the potential spending from a
client if acquired?
Who are more likely to become customers?
Why?
What is the best channel to acquire?
What is the market segmentation?
How are new customers onboarding?
How are the customers engaged with
products based on different segments?
Which customer is going to renew less, why
and what can we do?
Which customer has upsell potential, why
and what product to buy?
Acquire New Customers
Empower Existing Customers
Challenges of B2B Data & Application
● Data quality issues
○ Incomplete, sparse, noisy and dynamic over time
○ Missing historical data
● Lack of centralized data covering various needs
● Unclear source of truth
● From score to actionable insights
● Unify existing solutions
○ Multiple owners
○ Multiple predictive scores exist for similar purposes
○ Inconsistent quality
● Scale model building
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