A global database Managed Service Provider optimizes large-scale databases for major companies. They specialize in assessing, designing, and managing database workloads across various platforms, including cloud environments.
Point Sigma is the world's first fully end-to-end autonomous AI-driven data analytics solution. Point Sigma empowers people to become citizen data scientists by broadening the reach of analytics to all decision-makers, creating competitive advantage.
Challenge
The client was already working with Point Sigma on database optimization initiatives with one of their technical teams. Recognizing the value delivered in that engagement, a different team within the organization identified the sales analytics challenges as another area where Point Sigma's AI capabilities could drive significant improvements. This referral led to the expansion of Point Sigma's services to address the HubSpot data challenges.
Management needed greater insight into sales performance drivers to enable strategic optimization of their approach.
The team sought to leverage their technology investments more effectively, maximizing the potential of both their sales processes and the HubSpot platform.
With extensive HubSpot data available, the natural next step was to extract meaningful business intelligence, but quality inconsistencies made this challenging using traditional methods.
Out-of-the-box HubSpot reports failed to accommodate the necessarily different usage patterns across their diverse sales team and lacked the multi-channel engagement metrics needed for comprehensive performance analysis.
Advanced analytics with external business intelligence tools required extensive data engineering resources to address formatting inconsistencies within HubSpot data.
Solution
Point Sigma connected directly to the client's HubSpot instance, ingesting all available data regardless of inconsistencies. Unlike traditional approaches requiring data cleaning first, Point Sigma's engine was designed to work with messy, real-world data.
Cross-Channel Engagement Analysis
Identified patterns in communication effectiveness across email, calls, and meetings
Quantified response rates and sentiment across different prospect segments
Connected engagement metrics to deal progression milestones
Sales Motion Visibility
Mapped the actual (vs. theoretical) sales process by analyzing activity sequences
Identified which activities correlated with successful deals vs. stalled opportunities
Created visibility into individual rep effectiveness despite different HubSpot usage patterns, helping identify best practice
Data Complexity Solved
Fixed mismatched ID problems and untangled complicated data structures
Built a reliable analysis system that worked with inconsistent information
I trust Point Sigma's dashboard to show our CEO the detailed sales insights he needs. This saves me countless hours of manual reporting and gives leadership direct access to reliable analytics without my constant involvement.
- Head of Sales - Global MSP
Impact
For Executives
Built confidence in data-driven decision making despite known HubSpot limitations
Provided self-service access to dashboards for insights without requiring technical knowledge
For Operations
Eliminated reporting backlog, reducing hours spent on manual reporting weekly
Helped identify specific HubSpot usage improvements with highest business impact
Technical Achievements
Zero data engineering required. Point Sigma handled all data inconsistencies autonomously
Integrated seamlessly with existing HubSpot workflows
Reduced analytics costs compared to traditional manual data preparation approaches