Business Intelligence Stocks List

Related ETFs - A few ETFs which own one or more of the above listed Business Intelligence stocks.

Business Intelligence Stocks Recent News

Date Stock Title
May 23 SNOW Nvidia, AMD, TSMC, Snowflake, Tesla: Why These 5 Stocks Are On Investors' Radars Today
May 23 SNOW Snowflake Inc. (SNOW) Q1 2025 Earnings Call Transcript
May 22 SNOW Snowflake Projects Strong Growth With Focus on AI Products
May 22 SNOW Snowflake stock rises while e.l.f slides in after-hours trading
May 22 SNOW Snowflake Inc. (SNOW) Misses Q1 Earnings Estimates
May 22 SNOW Snowflake Stock Jumps On Better-Than-Expected Revenue, Sales Guidance
May 22 SNOW Snowflake Q1 revenue, outlook shatter expectations, price spikes
May 22 SNOW Snowflake in charts: Product revenue rises 34%, total customer count continues to edge higher in FQ1
May 22 SNOW Snowflake (NYSE:SNOW) Beats Q1 Sales Targets, Stock Soars
May 22 SNOW Snowflake Non-GAAP EPS of $0.14 misses by $0.03, revenue of $828.71M beats by $42.82M
May 22 SNOW Snowflake Reports Financial Results for the First Quarter of Fiscal 2025
May 22 DT Dynatrace Q1 ARR forecast slides down due to FX headwind: Baird
May 22 SNOW Trading Strategies For Nvidia Stock Before And After Q1 Earnings, A Top Holding In Spear Invest ETF (SPRX)
May 22 DT Dynatrace, Inc. (DT) JPMorgan Global Technology, Media, and Communications Conference (Transcript)
May 22 CTSH Are You a Value Investor? This 1 Stock Could Be the Perfect Pick
May 22 SNOW Snowflake talks to purchase Reka AI end with no deal - report
May 22 AMPL Amplitude: Soft Near-Term Outlook Outweigh Potential Upside
May 22 SNOW Snowflake Talks to Acquire Reka AI Fizzles With No Deal
May 21 ASUR EVOLVE 2024 Welcomes AWS Leader to Discuss the Transformative Power of Generative AI
May 21 SNOW Snowflake Q1 earnings preview: Focus on AI strategy
Business Intelligence

Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.Business intelligence can be used by enterprises to support a wide range of business decisions ranging from operational to strategic. Basic operating decisions include product positioning or pricing. Strategic business decisions involve priorities, goals and directions at the broadest level. In all cases, BI is most effective when it combines data derived from the market in which a company operates (external data) with data from company sources internal to the business such as financial and operations data (internal data). When combined, external and internal data can provide a complete picture which, in effect, creates an "intelligence" that cannot be derived from any singular set of data. Amongst myriad uses, business intelligence tools empower organizations to gain insight into new markets, to assess demand and suitability of products and services for different market segments and to gauge the impact of marketing efforts.Often BI applications use data gathered from a data warehouse (DW) or from a data mart, and the concepts of BI and DW combine as "BI/DW"
or as "BIDW". A data warehouse contains a copy of analytical data that facilitate decision support.

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