Lightdash Helps You Build Dashboards. Zenlytic Helps You Make Decisions.

Zenlytic directly translates questions into clear, actionable answers, without dashboards or semantic layers

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Why Modern Teams Choose Zenlytic

Direct answers with transparent reasoning

Zenlytic doesn’t just show data — it explains why the answers are correct, making results trustworthy and actionable.

Fewer barriers to insights

Zenlytic delivers answers fast with minimal setup — no dashboards, semantic modeling, dbt familiarity, or BI tooling required.

Built for every business user

Zenlytic supports operators, revenue, finance, and leadership teams who need clear answers without relying on analytics engineers.

Decision-ready insights, not just visuals

Zenlytic surfaces insights and backs them with context and logic so teams can act confidently — not just reactively explore data.

See Zoë in Action, Book a Demo Today

Quick Summary:
Zenlytic vs Lightdash

Best-in-Class
Acceptable / Mixed
Weak / Missing
Feature category
Feature
Zenlytic
LightDash
Trust, Accuracy
& Governance
Verification of logic
Verifies analytical logic before returning answers
Dashboards reflect dbt models; analytical reasoning must be interpreted by users
Explanation of results
Provides detailed, plain-language reasoning for insights
Visualizations show trends; interpretation is manual
Transparency of assumptions
Makes underlying assumptions and filters explicit
Assumptions are defined in dbt models and dashboard config
Decision readiness
Built for answers that teams can act on
Dashboards require interpretation and often follow-up queries
Analytics &
BI Capabilities
Natural language querying
Converts plain language questions into verified insights
Not a primary feature; exploration is through dashboards/filters
Root cause analysis
Strong follow-up conversational analysis
Dashboards allow visual filtering but not conversational follow-ups
Visual insights
Provides context visuals alongside explanations
Robust dashboarding and visual exploration
Ease of Use
& Adoption
Target users
Built for non-technical users across the org
Best for teams familiar with Lightdash or dbt
SQL requirement
No SQL required at any stage
Dashboards often benefit from users familiar with dbt and SQL concepts
Learning curve
Very low learning curve
Moderate, depending on familiarity with dbt and Lightdash
Setup and Time
to Value
Initial setup
Connects to your data and starts answering questions quickly
Requires dbt project and dashboard setup to derive value
Configuration overhead
Minimal; no models, dashboards, or semantic layers required
Requires dbt models and Lightdash configuration
Time to first value
Immediate answers after connection
Time tied to dashboard readiness and model maturity
Analytical Depth &
Proactive Intelligence
Iterative analysis
Context-aware conversation builds deeper insight
Visual exploration may require manual drill downs
Proactive insights
Focused on answering questions with clarity
Not inherently designed for proactive insights
Root cause analysis
Optimized to explain why something happened
Visual analysis guides exploration but doesn’t provide narrative explanations
Role in the Modern
Data Stack
Primary role
Decision layer delivering verified answers
Dashboard layer built on dbt models
Relationship to other tools
Complements analytics and warehouse tools
Deeply integrated with dbt and dashboard use cases
Output purpose
Turns raw data into trusted answers
Helps users visualize and explore data
Scalability, Integration
& Enterprise Fit
Scalability model
Scales naturally with modern cloud warehouses
Scales with dbt/Lightdash project maturity
Governance alignment
Respects existing access controls and data governance
Inherits governance from dbt models and warehouse roles
Enterprise operational overhead
Minimal ongoing maintenance for insights
Requires maintenance of dashboards, dbt models, and semantic logic
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.

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