Suppliers > United States > Sisense

Sisense

Overview

HQ Location United States	Year Founded 2004	Company Type Private	Revenue $100m-1b
Employees 201 - 1,000	Website Open website

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.

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Key Customers

HP, PHILIPS, Nasdaq, Motorola, Fuijtsu

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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

Analytics & Modeling

Big Data Analytics

Functional Applications

Product Lifecycle Management Systems (PLM)

Platform as a Service (PaaS)

Data Management Platforms

Application Infrastructure & Middleware

Data Exchange & Integration

Functional Areas

Business Operation

Discrete Manufacturing

Logistics & Transportation

Process Manufacturing

Product Research & Development

Industries

Healthcare & Hospitals

Services

Software Design & Engineering Services

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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.

Devices Layer
Robots

Drones

Wearables

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Cloud Layer
Platform as a Service (PaaS)

Infrastructure as a Service (IaaS)

Application Layer
Functional Applications

Supporting Technologies
Analytics & Modeling
Application Infrastructure & Middleware
Cybersecurity & Privacy
Networks & Connectivity

Technological Capability:

None

Minor

Moderate

Strong

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Technology Landscape.

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Case Studies.

Empowering Building Intelligence: Vitality's Success with Embedded Analytics

Vitality needed to embed analytics into its platform to meet customer demands and stay relevant in the market.

Transforming Reporting with Sisense: A Case Study in IoT

Profusion wanted to shift its clients' businesses away from slow and manual Excel-based reporting to fast and proactive reporting. They were tasked with developing a solution for a London creative agency to improve ticketing data reporting for an international live show production company.

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.

Automating Analytics and ETL: Empowering Universities with Data-Driven Insights

MindMax needed to automate its analytics and ETL processes to provide data-driven insights to its partner universities and scale its customer base.

Empowering Higher Education Institutions with a Modern Data Strategy

With the growth of Interfolio's user base and volume of data, there was a need for a modern data strategy that could unify internal data, streamline reporting processes, and handle multiple data sources and model complexity.

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