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
Nov 22 ORCL Jim Cramer Doubles Down On Nvidia: 'Demand Is Accelerating' As AI Customers 'Have No Choice' But To Buy Its Chips
Nov 21 ORCL MongoDB, Other Data Software Stocks Rally On Strong Snowflake Results
Nov 21 ORCL How Oracle Got Its Mojo Back. What's Behind The AI Cloud Push Powering Its 80% Stock Gain.
Nov 21 HPQ HP keeps Equal-weight rating at Morgan Stanley ahead of earnings
Nov 21 HPQ Ahead of HP (HPQ) Q4 Earnings: Get Ready With Wall Street Estimates for Key Metrics
Nov 21 ORCL Snowflake builds as it erases year of losses after Q3 earnings
Nov 21 ORCL High Growth Tech Stocks in the United States to Watch
Nov 21 PAR Zacks Industry Outlook Highlights Seagate, Agilysys and PAR
Nov 21 PAR PAR Technology to exchange $100M of notes for shares
Nov 21 PAR PAR Technology Corporation Announces Agreements to Exchange $100 Million of its 2.875% Convertible Senior Notes Due 2026 for Shares of its Common Stock
Nov 21 ORCL 1 Unstoppable Artificial Intelligence (AI) Stock to Buy Before 2024 Ends
Nov 21 SMWB ‘MAGA cockroaches’: The Left-wing ‘echo chamber’ rivalling Elon Musk’s X
Nov 21 ORCL 3 US Stocks Estimated To Be Trading Below Intrinsic Value In November 2024
Nov 21 ORCL 3 Unstoppable Growth Stocks to Buy if There's a Stock Market Sell-Off
Nov 21 ORCL Nvidia CEO Jensen Huang Says The Present Time Is 'The Beginnings Of Two Fundamental Shifts In Computing' As Blackwell Powers Explosive AI Demand
Nov 21 ORCL Nvidia Delivered 'Jaw Dropping' Q3 Earnings, Says Dan Ives: 'This Is The Fourth Revolution Playing Out In Front Of Our Eyes'
Nov 21 SAP Coveo Expands Partnership with SAP SE (SAP) to Launch AI-Powered Search and Recommendation App for Enhanced Customer Experience
Nov 20 ORCL Oracle Corporation (ORCL) Expands Partnership with Microsoft to Boost Cloud Integration and Database Services Across Azure
Nov 20 SAP SAP SE (SAP) Partners with Microsoft to Integrate AI Co-Pilots for Seamless ERP and Workplace Productivity
Nov 20 PAR PAR Technology: Accelerating Growth And Inflecting To Profitability
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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