Suppliers United States ThoughtSpot
This profile is not managed yet, if you would like to manage
this profile, please contact us at team@iotone.com
ThoughtSpot Logo

ThoughtSpot

United States
Sunnyvale
2012
Private
$10-100m
201 - 1,000
Open website
ThoughtSpot is a business intelligence and big data analytics platform that helps anyone explore, analyze, and share real-time business analytics data easily. ThoughtSpot???s AI-Driven analytics platform puts the power of a thousand analysts in every business person's hands. With ThoughtSpot, you can use search to easily analyze your data or automatically get trusted insights pushed to you with a single click. ThoughtSpot connects with any On-Premise, cloud, big data, or desktop data source and deploys 85 percent faster than legacy technologies. Business Intelligence and Analytics teams have used ThoughtSpot to cut reporting backlogs by more than 90 percent and make more than 3 million decisions - and counting. ThoughtSpot???s customers include Amway, Bed Bath and Beyond, BT, Capital One, Celebrity Cruises, Chevron Federal Credit Union, De Beers, Insurethebox and Scotiabank. The company was co-founded in 2012 by its CEO Ajeet Singh and six other technical co-founders from Google, Microsoft, Amazon, and Oracle. It is based in Palo Alto, CA and is currently expanding operations in North America, Europe and Asia-Pacific. ThoughtSpot???s mission is to enable analytics at "human scale" and put search-driven analytics in the hands of 20M users by 2020.
Read More
Search & AI-Driven Analytics Platform
Use search to get granular insights from billions of rows of data. Or let AI uncover insights from questions you might not have thought to ask.
Read More
Hulu, 7 eleven, walmart, Rolls Royce, Amway, Caterpillar Inc., Daimler, J.J Keller Associates
Read More
ThoughtSpot is a provider of Industrial IoT platform as a service (paas), and analytics and modeling technologies, and also active in the cities and municipalities, finance and insurance, healthcare and hospitals, and retail industries.
Technologies
Analytics & Modeling
Data Mining
Natural Language Processing (NLP)
Platform as a Service (PaaS)
Data Management Platforms
Functions
Procurement
Industries
Cities & Municipalities
Finance & Insurance
Healthcare & Hospitals
Retail
ThoughtSpot’s Technology Stack maps ThoughtSpot’s participation in the platform as a service (paas), and analytics and modeling IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies2
HP Democratizes Access to AI-Driven Business Insights Using Snowflake and ThoughtSpot
HP's partner ecosystem, which generates 80% of its revenue, involves data exchanges with thousands of partners for product tracking, sell-through inventory, and more. As business models evolved, more data and data sources needed to be connected to HP’s data platform. However, HP struggled with an ineffective BI toolset for scaling its business and growing its partner ecosystem. The BI team managed a traditional collection of OLAP cubes, a custom-built .NET user interface, and hundreds of offline reports. The system took 24–48 hours to refresh data and even longer to analyze that data. New data deployments took three months, making the data obsolete by the time it was ready for use. The BI team was a bottleneck, spending too much time on data analysis requests rather than focusing on more-strategic initiatives. The team downloaded data into offline dashboards and reports and distributed it in Excel and PowerPoint documents throughout the organization. End users needed a self-service solution.
Accern's No-Code AI and ThoughtSpot Everywhere: A Case Study on Accelerating Financial Decision-Making
Accern, a firm that believes in the power of data and AI, was facing a significant challenge. The development of an AI model typically takes an IT team 12 to 18 months, with 80% of a data scientist’s time spent on finding, cleaning, and reorganizing data. Accern's no-code AI allows users to deploy and customize pre-trained financial services models to extract insights from a vast amount of unstructured data more accurately and efficiently. However, Accern found themselves limited in the customization they could offer customers. They lacked self-service access to data visualizations and were restricted to the single dashboard provided to them. This limitation was hindering their mission to empower customers with data and was a barrier to their growth and customer satisfaction.
Number of Similar Suppliers5
Sight Machine
Sight Machine
Sight Machine specializes in manufacturing analytics and used by Global 500 companies to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses Artificial Intelligence, Machine Learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform is powered by the industry's only Plant Digital Twin, which enables real-time visibility and actionable insights for every machine, line, and plant throughout an enterprise. Founded in Michigan in 2011 and expanded to the Bay Area in 2012, Sight Machine fuses the spirit of Silicon Valley technology innovation with rock-solid Detroit manufacturing. Our team includes the founders of Slashdot along with leadership from early Yahoo, Palantir, Tesla, Cisco, IBM, McKinsey, and Apple.
Witium
Witium
Witium is an industrial automation control system company focusing on research, manufacturing and sales of industrial solutions. Their main products are HMI, IPC, I/O modules, industrial Controller and automation control system.
Element AI
Element AI
Element AI is an Artificial Intelligence company that gives organizations unparalleled access to cutting-edge technology. The company launches and incubates advanced AI-First solutions in partnership with large corporations. They deliver AI software products that augment decisions to make your business stronger, safer, and more agile. Element AI allows accelerating the deployment and commercialization of solutions that meet customer needs for the operationalization of AI while continuing to develop AI products. It maintains a strong connection to academia through research collaborations and takes a leadership position in policy-making around the impact of technology on society. The has built an AI systems integrator of sorts to help other companies develop and implement Artificial Intelligence solutions an Accenture??? for Machine Learning, neural network-based solutions, and computer vision applications. Element AI was founded in 2016 and is headquartered in Montr√?al, Quebec, Canada.
Getech
Getech
格创东智提出“面向生产现场”的工业互联网平台研发方向,通过深度融合人工智能、大数据、云计算等前沿技术,打造了新一代的APaaS平台——东智工业应用智能平台。现阶段,东智工业应用智能平台及应用已经在半导体、精密电子、汽车零配件等行业落地,能为客户提供从边缘数据采集、工业大数据分析到顶层应用开发的一站式解决方案。
Alteryx
Alteryx
Alteryx, Inc. was formed in 2011 and is a leader in self-service Data Science and analytics. Alteryx provides analysts with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks.Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics – predictive, statistical and spatial – using the same intuitive user interface, without writing any code.
Download PDF Version
test test