Oracle Analytics Cloud captures data from varied devices, and multiple formats.
Six Key Elements
of a Powerful
Analytics Solution
Data from Everywhere and Any Device
Data Preparation and Enrichment
Oracle Analytics Cloud uses machine learning to enhance, enrich, and analyze all data—no coding required.
57%
of enterprises are concerned they will face disruption from competitors using advanced analytics more effectively to guide business decisions.4
Augmented Analytics for Improved Decisions
Oracle Analytics Cloud drives decisions with automated visualization recommendations, embedded with machine learning.
Business Scenario Modeling
Oracle Analytics Cloud includes the industry-leading business-modeling engine for self-service, multidimensional, “what if” analysis.
By 2020, users of modern business-intelligence and analytics platforms (differentiated by augmented capabilities)
will grow at twice the rate.
The result?
Business value will increase 7
2x
Powerful Mobile Solutions
Oracle Analytics Cloud delivers personalized data-driven insights at the right time, in the right place, on any mobile device.
Enterprise Reporting
Analytic Insights Drive Business Growth
Ensure your analytics solutions has these six key elements to prepare your business for the future.
Learn how Oracle Analytics Cloud combines all these and more—uncover what drives business success and discover hidden insights to make impactful decisions that grow the business.
Oracle Analytics Cloud—Analytics Reinvented
- 1Bernard Marr, “How Much Data Do We Create Every Day? The Mind-Blowing Stats Everyone Should Read,” Forbes, May 21, 2018,forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/.
- 2Ibid.
- 3Asokan Ashok, “Four Trends in Cloud Computing CIOs Should Prepare for in 2019”, Forbes, July 5, 2018, forbes.com/sites/forbestechcouncil/2018/07/05/four-trends-in-cloud-computing-cios-should-prepare-for-in-2019.
- 4Oracle, “2018 Enterprise Analytics Benchmark Report,”oracle.com/us/analytics-benchmark-report-5097369.pdf.
- 5Louis Columbus, “Roundup of Machine Learning Forecasts and Market Estimates, 2018,” Forbes, February 18, 2018, forbes.com/sites/louiscolumbus/2018/02/18/roundup-of-machine-learning-forecasts-and-market-estimates-2018/#6cd337ad3994.
- 6David Menninger, Analytics page of Ventana Research websiteventanaresearch.com/Analytics.
- 7Cindi Howson, Rita L. Sallam, James Laurence Richardson, Joao Tapadinhas, Carlie J. Idoine, and Alys Woodward, “Magic Quadrant for Analytics and Business Intelligence Platforms,” Gartner report, February 26, 2018,arbelatech.com/insights/white-papers/gartner-report-magic-quadrant-for-analytics-and-business-intelligence-platforms.
- 8Gartner, “Gartner Identifies Top 10 Data and Analytics Technology Trends for 2019,” Gartner press release, February 18, 2019, gartner.com/en/newsroom/press-releases/2019-02-18-gartner-identifies-top-10-data-and-analytics-technolo.
- 9Douglas Laney and Ankush Jain, “100 Data and Analytics Predictions Through 2021,” Gartner report, June 20, 2017, gartner.com/ngw/globalassets/en/information-technology/documents/insights/100-data-and-analytics-predictions.pdf.
- 10 NewVantage Partners, “Data and Innovation How Big Data and AI are Driving Business Innovation,” big data executive survey 2018executive summary of findings, newvantage.com/wp-content/uploads/2018/01/Big-Data-Executive-Survey-2018-Findings-1.pdf.
- 11 Mike Baccala et al, “2018 AI Predictions: Eight Insights to Shape Business Strategy,” PwC,pwc.es/es/publicaciones/tecnologia/assets/ai-predictions-2018.pdf.