Sisense

To infuse analytics everywhere by powering every critical decision with invisible, intelligent analytics.

Sisense SWOT Analysis

Updated: October 5, 2025 • 2025-Q4 Analysis

How to Use This Analysis

This analysis for Sisense was created using Alignment.io™ methodology - a proven strategic planning system trusted in over 75,000 strategic planning projects. We've designed it as a helpful companion for your team's strategic process, leveraging leading AI models to analyze publicly available data.

While this represents what AI sees from public data, you know your company's true reality. That's why we recommend using Alignment.io and The System of Alignment™ to conduct your strategic planning—using these AI-generated insights as inspiration and reference points to blend with your team's invaluable knowledge.

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The Sisense SWOT analysis reveals a company at a critical inflection point. Its core strength in customizable, embedded analytics is a powerful asset in a market shifting away from static dashboards. However, this strength is threatened by the sheer scale and market penetration of hyperscalers like Microsoft and Salesforce. The primary weaknesses—brand awareness and perceived complexity—are significant barriers to capturing this opportunity. To achieve its mission, Sisense must aggressively differentiate its composable, developer-first value proposition. The key priorities correctly identify the strategic imperative: simplify the product experience, launch a game-changing AI feature to redefine the narrative, and maintain relentless focus on the embedded use case where Sisense holds a defensible advantage. This is a battle for market definition, not just features.

Microsoft Salesforce Google Qlik ThoughtSpot

No past cycles

Mission & Vision SWOT Analysis OKR Plan Retrospective AI Strategy Data Acquisition

To infuse analytics everywhere by powering every critical decision with invisible, intelligent analytics.

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Strengths

EMBEDDED: Strong OEM/embedded analytics engine is our core differentiator.
CUSTOMIZABLE: API-first approach allows deep integration unlike rivals.
ENTERPRISE: Proven scalability with large enterprise clients like Nasdaq.
PARTNERS: Growing channel partner ecosystem drives new logo acquisition.
FUSION: The single, composable platform simplifies the analytics stack.

Weaknesses

BRANDING: Awareness lags BI giants like Tableau, Power BI in the market.
COMPLEXITY: Powerful platform can have a steep learning curve for users.
SALES-CYCLE: High-ACV, embedded deals have long and complex sales cycles.
PRICING: Perceived as expensive vs. low-cost entry points of hyperscalers.
AI-STORY: Need to better articulate a unique, differentiated AI vision.

Opportunities

GENERATIVE-AI: Integrate GenAI to create conversational data experiences.
PRODUCT-LED: Opportunity for a PLG motion for specific developer tools.
VERTICALS: Target specific industries (healthcare, fintech) with solutions.
DATA-APPS: The market is shifting from dashboards to interactive apps.
EXPANSION: High NRR potential by upselling new use cases to customers.

Threats

MICROSOFT: Power BI's low cost and bundling is a massive market threat.
SALESFORCE: Tableau's visualization dominance and CRM integration is key.
GOOGLE: Looker's cloud-native architecture and GCP integration is strong.
STARTUPS: Niche, AI-native analytics startups are emerging as threats.
ECONOMY: Macroeconomic headwinds may slow large capital expenditures.

Key Priorities

DIFFERENTIATE: Sharpen our unique embedded-first, composable messaging.
ACCELERATE: Launch a flagship Generative AI feature to leapfrog rivals.
SIMPLIFY: Streamline the user experience and create a PLG entry point.
FOCUS: Double down on the core Product Manager & Developer ICP to win.

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Sisense OKR

Updated: October 5, 2025 • 2025-Q4 Analysis

The Sisense OKR plan is a focused and potent blueprint for achieving market leadership. It correctly translates the strategic imperative of differentiation into measurable outcomes. The objectives—DEFINE OUR CATEGORY, LAUNCH THE FUTURE, CREATE DEV FANS, and WIN OUR ICP—are ambitious and inspiring. They create a clear narrative that aligns product, marketing, and sales toward a single purpose. The key results are strong, focusing on competitive win rates, product adoption, and developer engagement rather than vanity metrics. This plan provides the clarity and leverage needed to navigate a crowded market and execute on the company's ambitious vision.

Microsoft Salesforce Google Qlik ThoughtSpot

No past cycles

Mission & Vision SWOT Analysis OKR Plan Retrospective AI Strategy Data Acquisition

To infuse analytics everywhere by powering every critical decision with invisible, intelligent analytics.

DEFINE OUR CATEGORY

Establish Sisense as the undisputed leader in our category.

MESSAGING: Launch and validate new 'Composable Analytics' messaging with 75% of our top 20 enterprise customers.
GARTNER: Improve our position in the Gartner Magic Quadrant for Embedded Analytics from 'Visionary' to 'Leader'.
WIN-RATE: Increase our competitive win rate against Power BI Embedded and Looker by 15% in strategic accounts.
AWARENESS: Double our share of voice in key developer communities and media outlets through targeted campaigns.

LAUNCH THE FUTURE

Leapfrog the market with a game-changing AI experience.

GEN-AI: Ship 'Sisense Co-pilot' (GenAI) to beta with 20 design partners, achieving a 70+ NPS score.
ADOPTION: Drive adoption of the new AI feature to 30% of eligible monthly active users within one quarter of GA.
AUTOMATION: Reduce average time-to-first-dashboard by 40% using new AI-powered data preparation features.
REVENUE: Source $5M in new pipeline from deals where the new AI feature is a primary technical driver.

CREATE DEV FANS

Make developers our most passionate and successful users.

ONBOARDING: Reduce developer time-to-first-API-call from hours to under 15 minutes with a new interactive guide.
PLG: Launch a free developer sandbox and achieve 10,000 sign-ups with a 10% activation rate in the first 6 months.
SDK: Achieve 25,000 downloads of our new Compose SDK and a 4.5+ star rating on developer forums.
COMMUNITY: Grow our active community user base (forums, Slack) by 150% through targeted content and events.

WIN OUR ICP

Dominate our core customer profile with relentless focus.

SALES: Increase new ACV from Product Manager and Developer personas by 35% through dedicated sales plays.
RETENTION: Achieve a 120% Net Revenue Retention rate within our ideal customer profile (ICP) segment.
EXPANSION: Land 50 new expansion deals driven by the adoption of our embedded analytics use cases.
CASE-STUDIES: Publish 15 new case studies from our ICP that quantify new revenue generation for the customer.

METRICS

Net Revenue Retention (NRR): 120%
Annual Recurring Revenue (ARR): $250M
New Logo ACV: $125k

VALUES

Customer-Obsessed
Builder Mindset
One Team
Data-Driven
Impactful

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Sisense Retrospective

AI-Powered Insights

Claude

Gemini

GPT

Sisense Official Website (About Us, Products, Customers)
Press Releases and Company Blog (2023-2024)
Gartner Magic Quadrant for Analytics and BI Platforms
G2 and Capterra Customer Reviews
Forrester Wave: Embedded Business Intelligence
Industry news analysis from TechCrunch, Forbes, etc.
LinkedIn data for employee counts and executive backgrounds

Microsoft Salesforce Google Qlik ThoughtSpot

No past cycles

Mission & Vision SWOT Analysis OKR Plan Retrospective AI Strategy Data Acquisition

To infuse analytics everywhere by powering every critical decision with invisible, intelligent analytics.

Toggle Theme

What Went Well

PRODUCT: Positive market reception for the new Compose SDK for developers.
SALES: Key enterprise wins in the financial services and tech verticals.
NRR: Strong net revenue retention continues to be a core business strength.
PARTNERSHIPS: Expansion of our global system integrator partner network.
LEADERSHIP: Successful onboarding of new CRO and CMO to scale GTM.

Not So Well

COMPETITION: Lost deals in mid-market to Microsoft Power BI's pricing.
MARKETING: Top-of-funnel lead generation volume was below the annual plan.
HIRING: Key engineering and AI research roles took longer to fill than forecast.
ONBOARDING: Customer feedback indicates time-to-first-value can be slow.
AWARENESS: Share of voice and brand recall metrics remained flat.

Learnings

FOCUS: Our win rate is highest when we focus purely on embedded use cases.
SIMPLICITY: Prospects are demanding simpler user experiences and faster setup.
DEVELOPERS: The developer audience is critical for technical validation.
VALUE: We must sell revenue generation, not just analytics features.
AI: The market now expects a compelling and clear Generative AI story.

Action Items

MARKETING: Launch a new campaign focused on the 'Build vs. Buy' decision.
PRODUCT: Create a quick-start template library to speed up onboarding.
SALES: Refine sales enablement to focus on developer and PM personas.
ENGINEERING: Allocate a dedicated squad to a flagship Generative AI feature.
PRICING: Explore a PLG entry point or developer sandbox offering.

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Organization	SWOT Analysis	OKR Plan	Top 6	Retrospective

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Sisense Market

AI-Powered Insights

Claude

Gemini

GPT

Sisense Official Website (About Us, Products, Customers)
Press Releases and Company Blog (2023-2024)
Gartner Magic Quadrant for Analytics and BI Platforms
G2 and Capterra Customer Reviews
Forrester Wave: Embedded Business Intelligence
Industry news analysis from TechCrunch, Forbes, etc.
LinkedIn data for employee counts and executive backgrounds

Founded: 2004
Market Share: ESTIMATE: 3-5% of embedded analytics market
Customer Base: Mid-market to enterprise, strong in tech, retail, healthcare
Category:
Embedded Analytics
SIC Code: 7372 Prepackaged Software
NAICS Code: 511210 InformationT
Location: New York, New York
Zip Code: 10036 New York, New York
Congressional District: NY-12 NEW YORK
Employees: 800

Competitors

Microsoft View Analysis

Salesforce View Analysis

Google View Analysis

Qlik Request Analysis

ThoughtSpot View Analysis

Products & Services

No products or services data available

Distribution Channels

Sisense Business Model Analysis

AI-Powered Insights

Claude

Gemini

GPT

Sisense Official Website (About Us, Products, Customers)
Press Releases and Company Blog (2023-2024)
Gartner Magic Quadrant for Analytics and BI Platforms
G2 and Capterra Customer Reviews
Forrester Wave: Embedded Business Intelligence
Industry news analysis from TechCrunch, Forbes, etc.
LinkedIn data for employee counts and executive backgrounds

Problem

Off-the-shelf BI tools are inflexible
Building analytics in-house is slow
Data is disconnected from applications

Solution

Composable, API-first analytics platform
SDKs to embed analytics anywhere
AI-powered insights inside workflows

Key Metrics

Net Revenue Retention (NRR)
Annual Recurring Revenue (ARR)
New Logo Acquisition & ACV

Unique

Highly extensible & customizable vs. rigid BI
Single platform for data prep to delivery
Deep embedding capabilities for apps

Advantage

Strong brand in embedded analytics niche
Technical depth of the Fusion platform
Enterprise-grade security and scalability

Channels

Direct enterprise sales force
Global partner & reseller network
Developer relations & community marketing

Customer Segments

Product managers building data apps
Software developers (OEM/Embedded)
Enterprise data & analytics teams

Costs

R&D for platform innovation and AI
Sales and marketing expenses
Cloud infrastructure and hosting costs

Sisense Product Market Fit Analysis

Updated: October 5, 2025

Sisense provides a composable analytics platform that helps software companies create new revenue streams and increase product stickiness. By embedding customized, AI-driven insights directly into their applications, they deliver more value to customers and accelerate their time to market, turning data into a competitive advantage and a profit center instead of a cost.

Accelerate Time to Market: Launch data products in weeks, not years.

Increase Product Adoption: Make your application stickier with insights.

Create New Revenue: Monetize your data with premium analytic features.

Before State

Siloed data, static dashboards
Analytics separate from workflows
Long development cycles for insights

After State

Analytics infused in every app
Data is part of the user experience
Actionable insights at point of need

Negative Impacts

Low user adoption of BI tools
Slow, reactive decision-making
Missed revenue opportunities

Positive Outcomes

New data-driven revenue streams
Increased product stickiness, less churn
Faster, more intelligent operations

Key Metrics

Customer Retention Rates - Est. 85-90% for enterprise

Net Promoter Score (NPS) - Est. 40-50

User Growth Rate - Est. 15-20% YoY within existing accounts

Customer Feedback/Reviews - 4.4 stars on G2 from 500+ reviews

Repeat Purchase Rates) - High, via expansion and new projects

Requirements

API-first, developer-friendly platform
Highly customizable and scalable engine
Secure multi-tenant architecture

Why Sisense

Provide Compose SDK for developers
Deliver cloud-native managed service
Offer expert professional services

Sisense Competitive Advantage

Superior customization vs. Power BI
Lower TCO than building in-house
Faster time-to-market for new apps

Proof Points

Nasdaq powers Insights-as-a-Service
ZoomInfo embeds analytics for clients
Air Canada optimizes flight operations

Sisense Market Positioning

AI-Powered Insights

Claude

Gemini

GPT

Sisense Official Website (About Us, Products, Customers)
Press Releases and Company Blog (2023-2024)
Gartner Magic Quadrant for Analytics and BI Platforms
G2 and Capterra Customer Reviews
Forrester Wave: Embedded Business Intelligence
Industry news analysis from TechCrunch, Forbes, etc.
LinkedIn data for employee counts and executive backgrounds

Strategic pillars derived from our vision-focused SWOT analysis

COMPOSABLE DOMINANCE

Win the market for flexible analytics.

EMBEDDED EVERYWHERE

Become the default choice for OEM analytics.

AI-POWERED INSIGHTS

Lead with proactive, generative analytics.

DEVELOPER ECOSYSTEM

Build a loyal community of data builders.

What You Do

Provide a composable platform to embed analytics anywhere.

Target Market

Product managers, data engineers, and software developers.

Differentiation

API-first, highly extensible architecture for deep embedding
Single stack for data prep, analysis, and visualization

Revenue Streams

SaaS subscriptions based on users and capacity
Premium support and professional services

Sisense Operations and Technology

AI-Powered Insights

Claude

Gemini

GPT

Sisense Official Website (About Us, Products, Customers)
Press Releases and Company Blog (2023-2024)
Gartner Magic Quadrant for Analytics and BI Platforms
G2 and Capterra Customer Reviews
Forrester Wave: Embedded Business Intelligence
Industry news analysis from TechCrunch, Forbes, etc.
LinkedIn data for employee counts and executive backgrounds

Company Operations

Organizational Structure: Functional structure with regional sales and services teams.
Supply Chain: Primarily cloud-based (AWS, Azure, GCP) software delivery
Tech Patents: Patents related to in-chip data processing and analytics tech
Website: https://www.sisense.com/

Top Clients

Board Members

Sisense Competitive Forces

Threat of New Entry

MEDIUM: While building a basic BI tool is feasible, achieving enterprise-grade security, scale, and connectivity is a high barrier.

Supplier Power

LOW: Primary suppliers are major cloud providers (AWS, GCP, Azure), where Sisense is a customer with some negotiating power.

Buyer Power

HIGH: Buyers have many choices, from free/low-cost options to sophisticated platforms, enabling them to demand value.

Threat of Substitution

HIGH: The biggest substitute is Microsoft Power BI, which is often 'good enough' and bundled with Microsoft 365 licenses.

Competitive Rivalry

VERY HIGH: Dominated by giants (Microsoft, Salesforce, Google) and numerous agile startups. Differentiation is critical.

Analysis of AI Strategy

Updated: October 5, 2025 • 2025-Q4 Analysis

The Sisense AI SWOT analysis underscores a pivotal opportunity to redefine its market position. Sisense's core strength lies in its architectural advantage—being embedded within user workflows is the perfect delivery mechanism for contextual AI. However, it faces a formidable challenge from tech giants with deeper AI R&D pockets. The strategy should not be to out-build them on foundational models, but to out-integrate and out-contextualize. The key priorities are spot on: focus on a killer generative AI use case that feels magical to the user, automate the mundane tasks of data preparation, and build a 'bring-your-own-model' framework. This approach transforms the threat of external AI platforms into an opportunity for integration, positioning Sisense as the essential, intelligent layer that makes enterprise AI actionable and trustworthy.

Microsoft Salesforce Google Qlik ThoughtSpot

No past cycles

Mission & Vision SWOT Analysis OKR Plan Retrospective AI Strategy Data Acquisition

To infuse analytics everywhere by powering every critical decision with invisible, intelligent analytics.

Strengths

DATA: Access to diverse, structured customer data via Fusion platform.
INTEGRATION: Existing API-first architecture simplifies AI model linking.
WORKFLOW: Embedded position is ideal for delivering contextual AI insight.
NLQ: Foundational Natural Language Query tech provides a solid starting point.

Weaknesses

TALENT: Competing with Google, Microsoft for scarce, top-tier AI talent.
PROPRIETARY: Lack of large, foundational models developed fully in-house.
DIFFERENTIATION: Current AI features are more incremental than disruptive.
COSTS: High computational costs for training and running advanced models.

Opportunities

GENERATIVE: Use LLMs for automated dashboard creation and data storytelling.
PREDICTIVE: Offer proactive insights and anomaly detection as a service.
CODE-GEN: AI-assisted generation of analytics code and SDK implementation.
AUGMENTED: AI-driven data preparation and cleaning to speed up time-to-value.

Threats

PLATFORMS: Hyperscalers embedding superior AI into their cheap BI tools.
OPENAI: Customers could bypass Sisense to use APIs like GPT-4 directly.
ACCURACY: Risk of AI model hallucinations eroding user trust in the data.
REGULATION: Evolving AI governance and data privacy laws create compliance risk.

Key Priorities

LEAPFROG: Launch a generative AI experience for conversational analytics.
AUTOMATE: Use AI to drastically simplify data prep and dashboard creation.
INTEGRATE: Create seamless integrations with major AI platforms like OpenAI.
TRUST: Build robust governance and explainability features for all AI.

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Sisense Financial Performance

AI-Powered Insights

Claude

Gemini

GPT

Sisense Official Website (About Us, Products, Customers)
Press Releases and Company Blog (2023-2024)
Gartner Magic Quadrant for Analytics and BI Platforms
G2 and Capterra Customer Reviews
Forrester Wave: Embedded Business Intelligence
Industry news analysis from TechCrunch, Forbes, etc.
LinkedIn data for employee counts and executive backgrounds

Profit: Not publicly disclosed (Venture-backed growth stage)

Market Cap: N/A (Private, last valued over $1B)

Stock Performance

Annual Report: Not publicly available

Debt: Not publicly disclosed

ROI Impact: Customer ROI focuses on new revenue streams and dev efficiency

SWOT Index

Composite strategic assessment with 10-year outlook

/ 100

Market Challenger

ICM Index

STRATEGIC ADVISOR ASSESSMENT

Sisense has a high-ambition vision but faces intense competition, capping its Achievability. The SWOT is balanced, with strong niche opportunities offset by formidable threats from hyperscalers. The OKRs and Core Strategy are well-defined and focused, providing a clear path to execution. AI potential is a significant lever. The growth multiplier reflects the challenge of scaling in a market dominated by giants, making significant market share capture a tough, long-term battle.

SWOT Factors

Upside: 75.0 Risk: 78.3

OKR Impact

AI Leverage

Top 3 Strategic Levers

Leapfrog competitors with a killer Generative AI feature.

Win the developer community to drive bottoms-up adoption.

Achieve 'Leader' status in analyst reports for embedded BI.

AI Disclosure

This report was created using the Alignment Method—our proprietary process for guiding AI to reveal how it interprets your business and industry. These insights are for informational purposes only and do not constitute financial, legal, tax, or investment advice.

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