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Sisense
Overview
HQ Location
United States
Year Founded
2004
Company Type
Private
Revenue
$100m-1b
Employees
201 - 1,000
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.
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
Case Studies.
Case Study
Vitality's Transformation into an Enterprise-Level Product with Sisense's Embedded Analytics
Vitality, a company focused on making buildings smart by analyzing IoT data for energy savings and risk mitigation, faced a significant challenge as it grew. The company's original plan involved building basic analytics into its platform. However, as the company expanded, customer demands for analytics quickly outpaced what Vitality could build in-house. The company realized it needed to purchase analytics capabilities to stay relevant to its customers. These capabilities needed to be seamlessly integrated into its proprietary platform, matching the look and feel of its software, and delivering an industry-leading user experience. Additionally, Vitality saw a huge potential for future growth by augmenting its powerful algorithms with industry-leading embedded analytics.
Case Study
Transforming Data Reporting: Profusion's Journey with Sisense
Profusion, a data science and marketing services company, was grappling with the challenge of slow and reactive reporting for its clients. The company wanted to transition its clients from relying on manual, Excel-based reporting to a more proactive, real-time optimization. A specific challenge was presented by a London creative agency, which required Profusion to develop a solution for reporting ticketing data to its client, an international live show production company. The agency had two requirements: an intuitive interface to communicate financial investment and return through different marketing channels, and the ability to query a single customer view of its customer and extract this data for use within its other business tools. The existing process was labor-intensive, with information only available sporadically or on the client’s request.
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.
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