Sisense
Overview
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HQ Location
United States
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Year Founded
2004
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Company Type
Private
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Revenue
$100m-1b
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Employees
201 - 1,000
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Website
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Company Description
Sisense is a business analytics software company that enables non-technical users to join and analyze large data sets. The company empowers the builders of analytic apps with powerful tools to simplify complex data and deliver insights to everyone inside and outside their organizations. It uses Artificial Intelligence algorithms to analyze organizational data. Sisense lets builders collaborate on a single platform, delivered in a hybrid, cloud-native environment with the industry’s lowest cost of ownership, to create true democratization of data and analytics. The company dramatically accelerates the time it takes to build, embed and deploy intelligent analytic apps that unleash user creativity and engagement. It has thousands of clients across the globe, including industry leaders like Tinder, Flexport, Expedia, UiPath, Nasdaq, The World Economic Forum, and the Salvation Army. Sisense is headquartered in New York, United States with offices in San Francisco, Scottsdale, Tel Aviv, Kyiv, London, and Tokyo.
IoT Solutions
The Sisense data and analytics platform is a complete end-to-end BI platform that empowers data engineers, developers, and analysts to build analytic apps that deliver highly interactive user experiences.
Key Customers
HP, PHILIPS, Nasdaq, Motorola, Fuijtsu
IoT Snapshot
Sisense is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, analytics and modeling, and functional applications technologies, and also active in the education, healthcare and hospitals, and retail industries.
Technologies
Functional Areas
Industries
Services
Technology Stack
Sisense’s Technology Stack maps Sisense’s participation in the platform as a service (paas), application infrastructure and middleware, analytics and modeling, and functional applications IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
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Case Studies.
Case Study
Marketing Agency TLC Sees 25% Improvement in Productivity
TLC’s approach to organizing high-quality data for analysis and distribution across the company and to clients was both labor-intensive and extremely time-consuming. Client data wasn’t being retained in any real meaningful fashion with data analysis and reporting was mostly done manually and managed in extremely complex Excel spreadsheets.On top of this, report delivery was done on a monthly basis by email and the sheer size of the spreadsheets was becoming problematic. Their data was triple the size of what any cloud-based system could handle and the need for superior reporting and analysis in a timely fashion to maximize fundraising was imperative.
Case Study
Profusion Cuts Down Report Generation Time From Days to Minutes
Manual and Sporadic ReportingProfusion wished to shift its clients’ businesses away from reliance on slow, reactive, and manual Excel-based reporting and onto fast, proactive, and real-time optimization.A London creative agency asked Profusion to develop a solution that would improve the way it reported ticketing data to its client, an international live show production company. It had two requirements:Clearly communicate financial investment and return through different marketing channels in an easy-to-use, intuitive interface.Ability to query a single customer view of its customer and extract this data for use within its other business tools.
Case Study
MindMax Achieves a Perfect Data Pipeline
Analytics and ETL—Fully AutomatedTo demonstrate value to potential customers, MindMax must measure and track processes from the top of the funnel to enrollment. Its legacy analytics & BI solution required manual extraction of data from disparate sources, including Salesforce, Google Analytics, Facebook Ads, LinkedIn, and Marketing Automation systems —and a manual data mashup in Excel.
Case Study
Smart Building Leader Vitality Uses Sisense to Save Clients Millions
Embed analytics to evolve into an enterprise-level productAs the world grapples with the climate crisis and changing weather patterns, platforms like Vitality will only become more important and useful for building teams of all kinds. Vitality knows firsthand: Its original plan saw its product team building basic analytics into the platform, but customer demands around analytics expanded with growth, quickly outpacing what Vitality could build in-house.
Case Study
Streamlines Faculty Management with a Modern Cloud Data Strategy
With internal analytics use cases and 3rd party data sources expanding rapidly, the primary challenge was selecting a BI platform and a cloud data platform that could handle multiple data sources, model complexity, and enable straightforward dashboard creation. On the enterprise side, the company was eager to streamline reporting data for quarterly business reviews. With a growing list of 3rd party applications like Quikbooks, Salesforce, and Pendo, account managers needed an easier way to unify data and demonstrate ROI to the institutional accounts they manage.
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