Power BI Copilot Helps You Build Reports. Zenlytic Helps You Make Decisions

Zenlytic goes beyond report interaction, delivering clear, validated answers directly from your data without relying on dashboards, semantic models, or BI tool ecosystems

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Why Modern Teams Choose Zenlytic

Answers with verification and explanation

Power BI Copilot assists with visual creation and summarization, but it doesn’t inherently verify analytical logic. Zenlytic verifies results and explains why the numbers mean what they do.

Works across your entire data stack, not just inside one BI tool

Zenlytic connects to your cloud data warehouse and other systems directly. Copilot lives inside Power BI, tied to datasets and reports already built.

Designed for all business users, not just report builders

Zenlytic supports operators, finance, GTM, and executives who don’t live in Power BI, democratizing insights without forcing teams into a single tool.

Faster time to insight with minimal setup

With Zenlytic, teams start asking questions and getting answers in minutes. Power BI Copilot relies on curated semantic models or report structures before it can help efficiently.

See Zoë in Action, Book a Demo Today

Quick Summary:
Zenlytic vs Power BI

Best-in-Class
Acceptable / Mixed
Weak / Missing
Feature category
Feature
Zenlytic
power bi copilot
Trust, Accuracy
& Governance
Verification of logic
Verifies analytical logic before returning answers
Does not inherently verify analytical logic; relies on report structures and model quality
Explanation of results
Provides plain-language reasoning for results
Provides descriptions of visuals, but not deep explanation of underlying logic
Transparency of assumptions
Makes assumptions explicit
Assumptions depend on Power BI model and report context
Decision readiness
Designed for confident decision making
Supports understanding of visuals, but additional validation is often needed
Analytics &
BI Capabilities
Primary analytics output
Delivers direct answers to business questions
Aids with visual creation, summarization, and interaction in reports
Role of dashboards
Reduces reliance on dashboards and BI reports
Central to experience, works inside dashboards
Analytical workflow
Conversational, iterative analysis across datasets
Visual exploration within Power BI environment
Ease of Use & Adoption
Target users
Built for operators, finance, GTM, and executives
Best for Power BI report consumers and authors
SQL requirement
No SQL required at any stage
No SQL required, but deep logic understanding requires BI modeling skills
Learning curve
Very low learning curve
Requires familiarity with Power BI ecosystem
Setup and Time
to Value
Initial setup
Connects to your data and delivers answers in minutes
Requires Power BI datasets and reports to exist
Configuration overhead
No dashboards or semantic layers required
Depends on semantic models and report structures
Time to first value
Immediate value with minimal setup
Value tied to report readiness and model maturity
Analytical Depth &
Proactive Intelligence
Iterative analysis
Strong conversational follow-ups with retained context
Analysis tied to report context and fields
Proactive insights
Focused on answering questions clearly
Limited proactive insight suggestions
Root cause analysis
Optimized to explain why something happened
Root cause analysis typically manual via visuals
Role in the Modern
Data Stack
Primary role
Decision layer on top of data warehouse
AI assistant embedded in Power BI ecosystem
Relationship to other tools
Complements analytics and warehouse tools
Works primarily within Power BI
Output purpose
Turns raw data into trusted answers
Enhances report interaction and visual generation
Scalability, Integration
& Enterprise Fit
Scalability model
Scales with modern cloud warehouses
Scales within Power BI tenant and workspace
Governance alignment
Respects existing data permissions by default
Inherits Power BI security and governance
Enterprise operational overhead
Minimal ongoing maintenance
Ongoing report and dataset maintenance required
Use Case
Zenlytic
ThoughtSpot
Conversational analytics
Best-in-class
Limited
Fast onboarding for startups
Plug-and-play
Complex setup
Sales & Marketing enablement
Tailored workflows
More generic
Data analyst support
Works alongside analysts
Strong tooling support
Enterprise deployments
Scales well
Trusted by large enterprises

Customer Love & Case Studies

Whether it’s doubling down on channels that are performing, fixing campaigns that are broken or acting on early warning signals to reduce subscription churn rates – Zenlytic gives us the insights we need to grow.

Melissa DiNapoli, Director of Omnichannel
,
LOLA
Challenge

With LOLA’s previous analytics tools, they lacked the ability to see when and where their customer subscriptions were slipping.

Zenlytic Solution

The Zenlytic BI platform allows LOLA to identify exactly what is causing changes in subscription revenue so they can push innovative new features to combat churn. By using Zenlytic to identify, and act on early warning signs of churn, LOLA has seen higher customer satisfaction and a 10% decrease in their chun rate over the last 12 months.

Before Zenlytic, we were wasting 20+ hours per week suffering through excel files and reporting we didn’t even trust. Now the first thing I do every morning is open slack, check Zenlytic, and get to work.

VP of Marketing
,
KOIO
Challenge

KOIO was manually pulling excel files from a multitude of disparate sources (i.e. Shopify, ad platforms, website, etc) and relying on an expensive third party data consultant to provide analytics and reporting. KOIO’s team couldn’t pull reports or interactively slice their metrics on their own – rendering it impossible to capture important aspects of their business like inventory, specific product sales, acquisition channels and more.

Zenlytic Solution

Zenlytic’s data engineering support team was able to organize KOIO’s data pipelines, upgrade their data stack, and get them running on Zenlytic so that their entire team could understand the full story of their brand’s data.

Without Zenlytic, we never would have spotted these patterns. We have 100 x'ed our ability to understand what’s happening in our business.

CEO
,
Neobank
Challenge

For a DTC digital bank, security is paramount. Neo-bank noticed flagged accounts and higher default rates, signaling a possible early attempt to circumvent their fraud protection protocols. They needed to identify high-risk users, quickly and reliably.

Zenlytic Solution

With the help of Zöe, Neo-bank detected common traits among flagged accounts and found bad applicants in their system. In minutes (not weeks), they removed the users and tightened fraud protection.

Conclusion

‍

If your team needs clear, validated answers they can act on immediately, regardless of which BI tools or dashboards exist. Zenlytic is designed for decision confidence and clarity, perfect for teams that value insight over visualization alone.

Schedule A Demo to See Zoë in Action

Give your team a true AI data analyst with Zoë. No setup headaches. No tickets. Just answers.

Book a Demo