Latest news with #ThoughtSpot
Business Wire
6 days ago
- Business
- Business Wire
AtScale Advances Semantic Layer Leadership with Innovations for Generative AI and Open Source Standard at 2025 Summit
BOSTON--(BUSINESS WIRE)-- AtScale, the leading provider of semantic layer technology for analytics and AI, today unveiled new product innovations and open standards at the 2025 Semantic Layer Summit. The virtual event brought together over 5,000 data leaders to explore the future of governed, AI-ready analytics. This year's keynote, presented by AtScale Co-founder and CTO David Mariani, showcased the latest advancements in the company's Universal Semantic Layer Platform, including: GenAI Platform Integrations: Power trustworthy natural language analytics. AtScale now integrates natively with Databricks Genie and Snowflake Cortex Analyst, ensuring that AI-generated insights align with business definitions and governance policies. One-Click Modeling: Accelerate model creation with AI-powered automation. One-Click Modeling intelligently scans your source data to identify key metrics, dimensions, and relationships—eliminating manual configuration and reducing time to value. Composite Modeling: Enable decentralized collaboration without compromising consistency. Composite Modeling allows teams to extend or inherit existing models, making it easy to build on shared definitions while maintaining a single source of truth. Native PGWire Support: Seamlessly connect to modern BI tools. With inbound Postgres protocol support, AtScale now offers plug-and-play compatibility with ThoughtSpot, Superset, Sigma, and more—ensuring smooth integration across your analytics stack. Enhanced Power BI Integration: Deliver real-time insights with full governance. AtScale now supports native DAX and Tabular models in Power BI, enabling a unified semantic layer experience with live connectivity, consistent metrics, and no need for data duplication. In-Memory Aggregates: Achieve sub-second query performance. This new caching feature stores aggregated query results directly in memory, accelerating response times for even the most complex analytical workloads. 'AI and analytics are converging faster than ever—but without semantics, there's no foundation for trust,' said David Mariani, CTO and Co-founder of AtScale. 'The innovations we announced today reflect our mission to give every organization the power to scale insights securely, consistently, and intelligently. From model creation to AI integration, we're delivering a complete platform for the next era of data-driven business.' Driving Industry-Wide Standards Through Open Source A central theme of the 2025 summit was an open standard for semantic standardization to prevent semantic lock-in. AtScale officially introduced the Semantic Modeling Language (SML) —the industry's first open-source language designed for defining, sharing, and operationalizing semantic models. The SML GitHub repository now includes: Prebuilt semantic models for TPC-DS, AdventureWorks, and Snowplow datasets A developer SDK for reading and writing SML programmatically CLI tools for syntax validation, model deployment, and ecosystem translation Real-World Impact: Customers and Partners Take the Stage The summit featured real-world stories from AtScale customers who are transforming enterprise analytics with semantic layers: Home Depot showcased how AtScale's semantic layer on BigQuery enabled enterprise-wide self-service in Excel, reduced time-to-insight, and delivered sub-second performance on a 20TB cube—powering a trusted, governed foundation for natural language analytics. TELUS demonstrated how semantic layers enabled scalable telecom network analytics through vendor abstraction and SML adoption. Vodafone Portugal, in partnership with Celfocus, shared how they migrated legacy OLAP systems to a modern cloud-native stack on Google Cloud—preserving familiar BI workflows while boosting performance and governance. Blue Mercury and HSBC discussed best practices for semantic layer implementation, aligning technical and business teams around shared models and definitions. The Future of Semantics in the Age of AI The event closed with a forward-looking panel featuring leaders from Snowflake, IBM, Databricks, and ThoughtSpot, who discussed the growing role of semantic layers in powering GenAI and redefining modern BI. 'Semantic layers aren't just a trend—they're an essential foundation for trustworthy AI,' said Bruno Aziza, Group VP of Data, BI & AI at IBM. 'As enterprises scale GenAI, the semantic layer is what brings governance, consistency, and business context to every interaction.' With continued investments in openness, ecosystem integration, and AI innovation, AtScale is redefining what's possible with enterprise data. You can watch all of the 2025 Semantic Layer Sessions on-demand or read the event recap blog. About AtScale AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The company's semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI, and build a more agile analytics infrastructure for better, more impactful decision-making. For more information, please visit and follow us on LinkedIn.
Yahoo
7 days ago
- Business
- Yahoo
ThoughtSpot Accelerates Expansion in Japan, Welcomes Leading Enterprises and Deepens Strategic Partnerships
MOUNTAIN VIEW, Calif., May 28, 2025 (GLOBE NEWSWIRE) -- ThoughtSpot, the Agentic Analytics Platform company, today announced significant momentum in the Japanese market, highlighted by the addition of new and existing customers from a variety of industries and the expansion of key strategic partnerships. Over the past year, ThoughtSpot has supported leading organizations across Japan turn to ThoughtSpot to drive AI-powered data-driven decision making and innovation. With the rapid advancement of AI technologies and increased adoption across industries such as healthcare and automotive, Japan's generative AI market has seen remarkable growth and is anticipated to reach USD 25.7 billion by 2033. This is reflected among ThoughtSpot's new and expanding customers, who are in some of Japan's most respected enterprises, including Toyota, Omron, Kyocera, Seiko Epson, Okumuragumi and JGC. These organizations are leveraging ThoughtSpot's intuitive search and AI-driven analytics to empower business users, accelerate insights, and unlock new value from their data. 'We've built something truly special at ThoughtSpot, and our growth in Japan is a testament to the value we deliver for our customers. Japan represents a massive opportunity for innovation, and we remain committed to supporting customers in the region.' said Ketan Kharkanis, CEO at ThoughtSpot. 'We're proud to help some of the country's most respected organizations unlock the full power of their data with the latest innovations in AI-driven analytics. As Japanese enterprises accelerate their digital transformation, ThoughtSpot is uniquely positioned to empower every user across all levels of the organization to make smarter, faster decisions. We're excited to partner with industry leaders and continue investing in local talent, partnerships, and technology to drive the next wave of data-driven growth in Japan.' ThoughtSpot's growth in Japan is further fueled by its expanding ecosystem of strategic alliances. The company recently announced a partnership with global IT leader Panasonic Solution Technologies (PSTC), enabling joint customers to harness the power of ThoughtSpot's agentic analytics platform offerings on Panasonic's modern cloud data infrastructures, empowering organizations to democratize data usage and accelerate agile decision-making. Additionally, the ongoing collaborations with Kyocera Mirai Envision (KCME) and NTTData Kansai, Zeal among other partnerships continue to deliver integrated solutions that help Japanese businesses modernize their analytics infrastructure and accelerate digital transformation. This rapid expansion is underpinned by ThoughtSpot's commitment to local customer success, with dedicated teams supporting implementation, adoption, and ongoing innovation. The company's investments in bilingual product capabilities and tailored support for Japanese enterprises have been instrumental in driving adoption and satisfaction among customers such as Toyota, who value ThoughtSpot's ease of use, advanced AI features, and true self-service BI capabilities. 'Japan is a critical market for ThoughtSpot, and we are thrilled to see such strong adoption from industry leaders,' said Kazuyo Yamashita, Country General Manager, ThoughtSpot Japan. 'Our team's relentless focus on customer success and local innovation has enabled us to address unique market needs and deliver real business impact. We are grateful for the trust our customers have placed in us and look forward to deepening these partnerships.' About ThoughtSpot ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action. Our mission is to create a more fact-driven world by delivering a platform where anyone can effortlessly explore any data, ask any question, and uncover actionable insights faster—leading to growth, better business outcomes, and efficiency in their organizations. Agentic AI combined with ThoughtSpot's intuitive natural language search, every user can confidently discover proactive insights from their business data creating real-time decisioning with impact. The platform's unified capabilities, along with our agentic AI analyst, Spotter, ensures insights are connected and pervasive, enabling users to create precise, transparent, personalized, and actionable insights with enterprise grade trust, security, and scale. Accessible via the web and mobile app, ThoughtSpot ensures intelligent decision-making happens seamlessly, wherever and whenever needed. For organizations looking to drive value, ThoughtSpot Embedded provides a low-code solution to integrate AI-powered analytics directly into products and services that make every application an intelligent experience, driving data monetization and boosting user engagement for customers. Industry leaders like NVIDIA, Toyota, Hilton Worldwide, Capital One and Matillion rely on ThoughtSpot to transform how their employees and customers take advantage of data to create better business outcomes. Try ThoughtSpot today and experience the new era of analytics. PR Contact:Lindsay NoonanDirector of Communications, ThoughtSpotpress@ in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Business Wire
20-05-2025
- Business
- Business Wire
Navan Launches Powerful Analytics Feature to Help Travel and Finance Teams Control Costs and Unlock Key Travel Insights
PALO ALTO, Calif.--(BUSINESS WIRE)--Navan, the all-in-one global travel and expense management platform, today launched a new advanced analytics feature for Navan customers that offers travel and finance teams more robust information so that they can make better-informed decisions on travel spend. Introducing Navan's advanced analytics—your team's new go-to solution for effortless insights without the hassle of conventional data reporting Share Until now, these teams have had to spend hours manually organizing and interpreting large and complicated data files to get even a surface-level view of their travel program. Navan's new analytics feature completely upends that approach. It transforms more than 100 complex travel data points — such as travel spend by department, percentage of out-of-policy bookings, savings with NDC — into clear, interactive insights, all in a single dashboard. The result: Travel and finance teams get time back to focus on executing their business priorities. 'With Navan's new analytics platform, every travel manager and finance leader can have the equivalent of a data science team at their fingertips," says Michael Sindicich, President, Navan. 'This isn't just about seeing your travel spend, it's about transforming how you understand and optimize travel investments for your business.' With advanced analytics, travel and finance teams can now easily drill down to see exactly where their travel spending is happening and quickly uncover opportunities to save — no complicated spreadsheets or data experts required. Instead, teams can slice and dice data using filters and categories, enabling them to make smarter decisions on their own, in real time. Additionally, they can set automated notifications to receive timely updates when, for example, travelers hit certain spending limits, which can eliminate hours of tedious data monitoring. 'The future is embedded intelligence in every business application that provides users with rich insights and guidance for their next best action. They all need a GPS built in. Navan is pioneering this next generation of business applications powered by ThoughtSpot's Agentic Analytics Platform' said Ketan Karkhanis, Chief Executive Officer at ThoughtSpot. 'Partnering with ThoughtSpot, Navan is enabling travel and finance teams to instantly access and act on insights that were previously buried in spreadsheets and reports. This is a game-changer for how businesses manage and optimize their travel spend, and will be a useful tool to our own teams that utilize Navan.' "Navan's new analytics tool has transformed our approach to managing travel data, making data more accessible and actionable for key stakeholders,' said Kara Brayton, Head of Global Travel at DRW. 'The interactive dashboard has given us invaluable insights and flexible filtering options, enhancing our travel team's efficiency. We deeply appreciate the collaboration with Navan's product team, who have been instrumental in working through use cases and ensuring the tool meets our needs. DRW is proud to be an early adopter of this innovative solution." As technology increasingly becomes a core part of successful travel programs, Navan can help businesses modernize their operations without straining resources or budgets. Navan's advanced analytics is available at no extra cost to Navan's US customers and will be available for global release soon. To learn more, visit Navan Analytics.
Associated Press
10-04-2025
- Business
- Associated Press
7Dxperts Expands to Dubai to Drive Data Innovation in the Middle East
04/09/2025, Dubai, UAE // KISS PR Brand Story PressWire // 7Dxperts, a leading data consultancy that has a strong partnership with ThoughtSpot, the AI-Native Intelligence Platform, is thrilled to announce the opening of its new office in Dubai, UAE. This strategic expansion aims to support the demand for advanced data and AI solutions across the Middle East and GCC regions. 'We are excited to bring our innovative data and AI solutions to the Middle East,' said Tom Stroud, RVP & GM, Middle East of 7Dxperts. 'Our Dubai office will serve as a hub for driving data-driven transformation, helping businesses in the region harness the power of their data and AI to achieve strategic goals using ThoughtSpot, Databricks and Snowflake.' With a proven track record of success in both Europe and the U.S., 7Dxperts specialises in a wide array of data services, including data & analytics, data engineering, data strategy, geospatial analytics, machine learning, data science, and data governance. The new Dubai office will enable 7Dxperts to provide localised expertise and resources, fostering growth in the adoption of ThoughtSpot, cloud data warehousing, and modern data platforms. 'We are incredibly excited to see our strong partnership with 7Dxperts extend into the Middle East. We've experienced exceptional success with our partnership across Europe, driving significant value for shared customers,' said James Smith, Vice President of EMEA at ThoughtSpot. 'This expansion into Dubai will bring deep expertise in data and AI even closer to regional businesses. We are confident that 7Dxperts' local presence, coupled with ThoughtSpot's complete intelligence platform, will accelerate data-driven decision making and unlock substantial growth for organisations throughout the Middle East and GCC regions.' 'As part of this expansion, 7Dxperts is committed to investing in local talent and building a team of experts who understand the unique challenges and opportunities within the Middle East market. This move underpins their dedication to delivering tailored solutions that meet the specific needs of its clients,' said Shariq Wagener, co-founder of 7Dxperts. About 7Dxperts: 7Dxperts helps generate insights by leveraging all types of data from anywhere, building repeatable and streamlined capabilities for our customers to support their continued growth. We have a range of accelerators that shorten the time to value and change the paradigm from what to do with technology to improving outcomes.
Yahoo
27-02-2025
- Business
- Yahoo
Data Analytics Market Size to Surpass USD 483.41 Billion by 2032 Owing to Rising Adoption of AI & Machine Learning Technologies
The Data Analytics Market is expanding as businesses leverage AI and big data to gain insights, optimize operations, and drive informed decision-making. Pune, Feb. 27, 2025 (GLOBE NEWSWIRE) -- Data Analytics Market Size Analysis: 'The Data Analytics Market size was USD 52.68 Billion in 2023 and is expected to reach USD 483.41 Billion by 2032, growing at a CAGR of 28.0% over the forecast period of 2024-2032.'Get a Sample Report of Data Analytics Market@ Major Players Analysis Listed in this Report are: ThoughtSpot (ThoughtSpot Analytics Platform, ThoughtSpot Search & AI-driven Analytics) Sisense (Sisense Data Analytics Platform, Sisense for Cloud Data Teams) Mu Sigma (Mu Sigma Decision Sciences Platform, Mu Sigma Data Analytics and Insights) Zoho (Zoho Analytics, Zoho DataPrep) Salesforce Inc (Salesforce Einstein Analytics, Tableau Analytics Solutions) SAP SE (SAP BusinessObjects BI, SAP Analytics Cloud) International Business Machines Corp (IBM Watson Analytics, IBM Cognos Analytics) Alphabet Inc Class C (Google Analytics, Google Cloud BigQuery) Oracle Corp (Oracle Analytics Cloud, Oracle Autonomous Data Warehouse) Inc (Amazon QuickSight, AWS Data Pipeline) IBM Corporation (IBM Watson Studio, IBM Cloud Pak for Data) Microsoft Corporation (Microsoft Power BI, Azure Synapse Analytics) Google LLC (Google Cloud Analytics, Google Data Studio) Oracle Corporation (Oracle Cloud Infrastructure Analytics, Oracle Big Data Analytics) Data Analytics Market Report Scope: Report Attributes Details Market Size in 2023 US$ 52.68 Billion Market Size by 2032 US$ 483.41 Billion CAGR CAGR of 28.0 % From 2024 to 2032 Base Year 2023 Forecast Period 2024-2032 Historical Data 2020-2022 Key Regional Coverage North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe [Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) Key Growth Drivers Growing Adoption of Advanced Technologies like Artificial Intelligence, Machine Learning, and Big Data Analytics Fuels Data Analytics Market Growth Do you have any specific queries or need any customization research on Data Analytics Market, Make an Enquiry Now@ Key Growth Factors Driving the Data Analytics Market Adoption in healthcare, finance, retail, and manufacturing for optimized operations. Artificial intelligence (AI) and machine learning (ML) transforming data analytics solutions. Increased reliance on cloud computing for real-time data processing and scalability. Businesses leveraging big data analytics for actionable insights. Growing funding in analytics startups and established enterprises. Rising demand for data security, GDPR compliance, and cybersecurity solutions. By Industry, IT & Telecom Lead, While Healthcare Poised for Rapid Growth In 2023, the IT & Telecom sector dominated the data analytics market, leveraging AI and ML-driven solutions for network optimization, customer engagement, and operational efficiency. Companies like Cisco and IBM are improving performance with machine-learning integrated analytics. On the application front, the healthcare sector is anticipated to witness the highest CAGR due to advancements in predictive modeling, patient monitoring, and personalized treatment. The data-driven insights are driving digital transformation in the sector, providing better care for patients and improving operational workflows. With both the industry embracing analytics, the adoption continues to mold the future of the data analytics market. By Type, Predictive Analytics Dominates the Market, While Customer Analytics Sees the Fastest Growth In 2023, Predictive Analytics held a dominant 32% market share, helping industries forecast trends and mitigate risks. Businesses across finance, retail, and healthcare increasingly rely on predictive models for strategic decision-making. Meanwhile, Customer Analytics is anticipated to showcase the maximum CAGR of 30.38% owing to the growing demand for consumer behavior data & personalized marketing. Salesforce and Adobe driven platforms powered by AI are catalysing this growth, which allows businesses to improve customer engagement and customer retention. Both sectors continue to shape the evolutionary growth of the data analytics market with companies becoming data-driven in the digital transformation age. Data Analytics Market Segmentation: By Type Prescriptive Analytics Predictive Analytics Customer Analytics Descriptive Analytics Others By Solution Security Intelligence Data Management Data Monitoring Data Mining By Application Supply Chain Management Enterprise Resource Planning Database Management Human Resource Management Others By Industry Healthcare IT & Telecom BFSI Education Manufacturing Government Transportation & Logistics Retail & E-commerce OthersBuy an Enterprise-User PDF of Data Analytics Market Analysis & Outlook 2024-2032@ By Solution, Security Intelligence Dominates the Market, While Data Mining Grows Rapidly In 2023, Security Intelligence held the largest market share, driven by rising cybersecurity threats and the adoption of advanced security analytics tools in the banking, healthcare, and government sectors. This drives organizations to look for real-time threat detection and risk mitigating products. On the other hand, Data Mining will achieve the highest CAGR during the forecast period as the organizations are looking for AI-based insights over massive data sets. Machine learning and predictive analytics are increasingly being used by organizations to reveal patterns in large datasets, enabling them to streamline their operations and make better data-driven decisions. By Application, Supply Chain Management Dominates the Market, While ERP Set for Rapid Growth In 2023, Supply Chain Management (SCM) dominated the data analytics market, with industries leveraging analytics for inventory optimization, logistics, and demand forecasting. SAP, IBM and others launched AI-powered SCM tools in their offerings to improve efficiency and support real-time decision making on the shop floor, among others. The Enterprise Resource Planning (ERP) segment is expected to record the highest compound annual growth rate (CAGR) during the forecast period due to increasing adoption of integrated, data-driven management solutions by organizations. By Region, North America Dominates the Market, While Asia Pacific Sees Fastest Growth In 2023, North America dominated the data analytics market, holding 32% of the global share, driven by advanced infrastructure, AI adoption, and digital transformation investments. Tech hubs like Silicon Valley and Toronto foster innovation, with industry leaders like IBM, Microsoft, and Google enhancing AI-powered analytics solutions. Meanwhile, Asia Pacific is the fastest-growing region, with a projected CAGR of 29.84%, fueled by smart city projects, IT sector expansion, and rising demand for data-driven solutions in healthcare, finance, and manufacturing. The surge in e-commerce, fintech, and IoT adoption further accelerates the region's market growth. Recent Developments January 2025: ThoughtSpot introduced Analyst Studio, an AI-driven data preparation tool. Designed for ease of use, it simplifies complex data analytics processes, catering to businesses' growing demand for automated and user-friendly analytics solutions. Table of Contents – Major Key Points 1. Introduction 2. Executive Summary 3. Research Methodology 4. Market Dynamics Impact Analysis 5. Statistical Insights and Trends Reporting 6. Competitive Landscape 7. Data Analytics Market Segmentation, By Industry 8. Data Analytics Market Segmentation, By Type 9. Data Analytics Market Segmentation, By Solution 10. Data Analytics Market Segmentation, By Application 11. Regional Analysis 12. Company Profiles 13. Use Cases and Best Practices 14. Conclusion Access Complete Report Details of Data Analytics Market Analysis Report 2024-2032@ [For more information or need any customization research mail us at info@ SNS Insider Offering/ Consulting Services: Go To Market Assessment Service Total Addressable Market (TAM) Assessment Competitive Benchmarking and Market Share Gain About Us: SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world. CONTACT: Contact Us: Jagney Dave - Vice President of Client Engagement Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)
