Sisense Among Cloud Top 500

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Sisense Strengths, Domain Expertise, and Key Differentiators

In the era of COVID-19, companies have refocused their data usage to address the most pressing challenges and opportunities they face. They started utilising data to improve efficiency and rely on it to predict changes and outcomes. As more and more industries rely on the cloud for its clear cost and agility benefits, Sisense is at the forefront of that innovation, simplifying every step of the BI process by bringing data insights and analytics to its customers when and where they need it.

Sisense simplifies business analytics for complex data. Powered by its unique In-Chip and Single Stack technologies, Sisense delivers unmatched performance, agility, and value, eliminating much of the costly data preparation traditionally needed with business analytics tools and providing a single, complete tool to analyze and visualize large, disparate data sets without IT resources.

Sisense Recent Developments

In December 2021 Sisense unveiled Sisense Notebooks, a code-first functionality for advanced analytics using SQL and Python. Notebooks enables data analysts to query data from any data source, visualize results in custom charts, and take their analytics efforts further using procedural code before visualization, within a single platform for both in-depth analysis and BI that preserves data security and integrity.

In December 2021 Sisense introduced the beta version of an integration with Git to enable software developers and product teams to manage the lifecycle of their dashboards and codes, designed to further operationalize and scale analytics across the enterprise. The feature will be fully integrated in 2022.

In November of 2021 Sisense Community BETA was launched as a platform for Sisense users to connect and collaborate with other Sisense users, obtain solutions and answers to questions, share best practices, and grow their expertise in Sisense and analytics.

In July 2021, Sisense released the Sisense Extense Framework, which provides users access to actionable intelligence inside apps including Slack, Salesforce and Google, transforming how they work. In February 2021, Sisense Unveils Sisense Fusion, an AI-Driven Analytics Platform Designed to Make Data Analytics Simple, Scalable and Actionable

Sisense Mergers and Acquisitions (M&A) Activities

In May 2019, Sisense acquired Periscope Data to create what it is calling a complete data science and analytics platform for customers. The companies did not disclose the purchase price.

Sisense Customers in ARTW Customer Database

Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying Sisense applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of Sisense and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified Sisense Analytics and BI customers.

Sisense Key Enterprise and Cloud Applications

Sisense Analytics and BI

Sisense Revenues, $M:

Type/Year20202021YoY Growth, %
Total Revenues, $M Subscribe Subscribe Subscribe
Enterprise Applications Revenues, $M Subscribe Subscribe Subscribe
Cloud Applications Revenues, $M Subscribe Subscribe Subscribe

* Enterprise Applications Revenues = License + Support & Maintenance + SaaS
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.

Sisense Revenue Breakdown By Type, $M:

TypeLicenseProf. ServicesHardwareSupport & MaintenanceSaaSPaaSIaaSOther (Non Enterprise Application Revenues)Total
% of Total Revenues Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe 100%
Revenues, $M Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe

Sisense Revenues By Region, $M

Region% of Total Revenues2021 Total Revenues, $M2021 Enterprise Applications Revenues, $M2021 Cloud Applications Revenues, $M
Americas Subscribe Subscribe Subscribe Subscribe
EMEA Subscribe Subscribe Subscribe Subscribe
APAC Subscribe Subscribe Subscribe Subscribe
Total Subscribe Subscribe Subscribe Subscribe

Sisense Direct vs Indirect sales

RegionDirect SalesIndirect SalesTotal
Type % Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe

Sisense Customers - Breakdown by Geo, Size, Vertical and Product

List of Verified Sisense Customers

No. of Sisense Customers: 2000

No. of Sisense Enterprise Applications Customers: 2000

No. of Sisense Cloud Customers: x

No. of Sisense Cloud Subscribers: x

Sisense currently has a total of approximately 800 employees, more than 2,000 customers. Leading companies such as GE, Nasdaq, Philips, and Oppenheimer have leveraged Sisense's market-leading analytics for some time and the company continues to add notable customers including TIAA, Rolls Royce, Air Canada, Accenture, Expedia's Egencia and Mazda.

Sisense Market Opportunities, M&A and Geo Expansions

In January 2020, ​​​Sisense, received a funding round of over $100 million, continuing to power its market-leading growth and rapid customer adoption. This funding will accelerate innovation and scale across the globe, and values Sisense at over $1 billion. Insight Venture Partners led the round. Also participating is new investor Access Industries (via its Israeli vehicle Claltech), who was joined by existing investors Bessemer Venture Partners, Battery Ventures, DFJ Growth, and others. The new funding will bolster the company’s sales, marketing and development efforts to increase market share, and accelerate investment in its platform.

Sisense Risks and Challenges

The maps in Sisense need to have the ability to compare to some standard benchmarks.

Sisense Ecosystem, Partners, Resellers and SI

The Sisense Implementation Partner Program addresses the market demand for implementation and consulting services for the Sisense Data and Analytics Platform. Some of the implementation partners are Argo Logic, Ayantek, LLC, Azuka, BlueMetrics, Business Wise Solutions, CAUSE + EFFECT Strategy, Datore, Izi'nov, LeROI Digital Intelligence Consulting, Paldi Solutions, Profusion, QBeeQ, Rossi Labs, Solutions Consulting.

Their platform partnerships focus on sharing resources, gaining a competitive advantage, and simultaneously growing business results. Some of the platform partners are AWS, Microsoft Azure, Google Cloud, Fivetran, Stitch, Snowflake, CDATA, Alation, MongoDB.

Their reseller partners find themselves with more opportunities, increased adoption, and an opportunity for additional services from the company. Some of them are Azuka, Daemon, Datore, Profusion, QBeeQ, SHI, Softchoice.

Sisense partnered with Granvalley, a Japanese-based data consultancy specializing in business intelligence (BI) systems, which brings agile, scalable BI platforms to non-technical enterprise customers in Japan.

Sisense Cloud Infrastructure Insights

Subscribe to read more about:

  • Sisense Public Cloud and Infrastructure (IaaS)
  • Sisense Platform (PaaS)
  • Sisense Application Delivery
  • Sisense Private Cloud and Data Centers

Research Methodology

Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.

Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).

For additional information on our methodologies, here's the link: Us

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