.png)
Why PieAX
Business Intelligence (BI) is everywhere.
Experience isn’t.
Billions are spent on BI, dashboards, and data tools within companies, yet most colleagues don’t know where to look, what to trust, or how to take action.
• BI tools go unused.
• Licenses go to waste.
• ROI is unclear.
• Executives lack visibility.
It’s not the dashboards — it’s the experience.
Users encounter a fragmented experience with no central entry point, making it hard to find what they need. There's also a lack of usage measurement, which limits understanding of engagement. Additionally, AI features are often added without proper guidance, leaving users unsure of how to use them effectively. Addressing these issues is crucial for a smoother experience.
Our Solution?
Measure, Package and Maximize.
Pie AX is a unified platform that is personalized by role and powered by AI.
One place for all your data products.
AI that guides.
Usage that proves value.
Measure With
Usage360®
Track analytics usage with real KPIs and role-based
segmentation.
Understand which dashboards and tools are
working—and which are ignored.
Establish your Analytics Experience Score to
baseline and improve adoption.
-
Track usage trends
-
See who’s engaged (and who’s not)
-
Measure $ROI from BI tools ($value projections,not some undefined bs to “measure value”)
Package With MyAnalytics®
Give every colleague a personalized analytics homepage.
Aggregate dashboards, alerts, AI solutions and data tools into a single, intuitive view.
-
All tools in one place
-
Role-specific navigation
-
Personalized insights
Maximize With Pie + Slice
Slice is our AI engine. Pie is your AI Concierge.
Slice learns behavior, predicts needs, and personalizes the journey.
Pie nudges users, suggests next steps, and guides engagement in real time.
-
Gamified usage prompts
-
App recommendations
-
Natural language guidance
The Analytics Experience Score℠
At the heart of PieAX is the Analytics Experience Score a multi-dimensional scoring model built to give leaders a crystal-clear view of analytics value. This is our secret sauce. The AX Score combines Recency, Frequency, Monetary, and Consumption metrics to measure:
-
Overall Environment Performance – How the organization’s analytics ecosystem is performing.
-
App-Level Impact – Which BI tools, dashboards, or reports are delivering the most value while highlighting those worthy of developer investments.
-
Consumer-Level Engagement – How each individual is consuming and acting on insights, what’s working and what isn’t for teams.
By translating usage into both a score (0 to 100) and a dollar value, the Analytics Experience Score helps leaders make informed decisions on where to invest, improve, or retire analytics assets.
Built for Leaders
PieAX is designed for any company looking to harness the power of its data assets—especially in banking, insurance, and healthcare.
We enhance utilization of existing BI and analytics tools, including, but not limited to:
Qlik | Tableau | Power BI | Salesforce
SaaS model available per-consumer, per-month—offered bundled or modular.
CEOs &
CFOs
See measurable ROI from your analytics investments, backed by usage data and dollar-value projections.
CIOs &
CDOs
Eliminate friction, unify your data experience, and guide teams to the right insights at the right time.
Business Leaders and Analysts
Drive more value by getting to key insights faster and acting on them with confidence.
Data & Analytics Teams
Boost adoption, reduce waste, and deliver dashboards and reports that drive real business results.
Opportunities
Rapid
Usage
Insights
See which BI tools, dashboards, and reports are actually driving value—within days instead of months.
Quick
Wins for Adoption
Targeted engagement tactics based on real usage data, leading to higher adoption across teams.
Cross-Tool
ROI
Clarity
Compare value across Qlik, Power BI, Tableau, Salesforce, and others in one view.
Faster Executive Alignment
Give the C-Suite a shared, quantified picture of analytics impact—helping justify spend or guide reallocation.
Foundation
for AI
Readiness
Position your organization to measure and optimize AI-driven insights as they emerge.
Stop guessing who’s using analytics.
Start driving it.
