California, USA
$10BN to $50BN
69 Buyers are Negotiating "Group Buyer Deal" for ORACLE ADVANCED ANALYTICS
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ORACLE Analytics Cloud’s Database Platform allows the use of seamless predictive analytics software within the platform, giving it an edge over other vendors. ORACLE Analytics Cloud helps mine various data types, eradicate movement of data, and deliver actionable insights. Application developers deploy this analytics model along with SQL and R functions. ORACLE Analytics Cloud helps predict the behavior of customers, the gap between the demand and supply, and make better marketing strategies. Request ORACLE ADVANCED ANALYTICS Pricing to get more information.


Oracle Advanced Analytics 12c offers parallelized in-database implementation of data mining algorithms and integration with open source R. Data analysts use Oracle Data Miner GUI and R to develop and evaluate predictive models and leverage R packages and graphs. Application developers deploy Oracle Advanced Analytics models using SQL data mining functions and R. With the Oracle Advanced Analytics option, the ORACLE Analytics Cloud Database is extended to a scalable analytical platform that mines more data and data types, eliminates data movement, and preserves security to anticipate customer behavior, detect patterns, and provide actionable insights.

  • Self-Service Data Discovery: Easy to use, have striking visual appeal, access data from governed as well as personal sources, and enable sophisticated analytics that can be shared broadly across your community of consumers
  • Analytics Dashboards: Dashboards aggregate content from a variety of sources and systems, present you with a personalized view of the data, and let you fully interact with that data in a single, integrated experience
  • Predictive Analytics: To help deploy sophisticated analytics to everyone in organization, Oracle Analytics is focused on embedding, consuming, and training ML models to enrich your data preparation, discovery, and collaboration

Top Usecases

  1. Demand Forecasting
  2. Pricing Elasticity Analysis
  3. Data Visualisation
  4. Data Preparation
  5. Customer Data Platform
  6. Risk Management
  7. Operations Management
  8. Sales and Marketing Management
  9. Network Management
  10. Workforce Management

360 Quadrants

Strengths and Weaknesses
  • +5 Integration With Open-Source
  • +14 Abolishes The Traditional Methods
  • +13 Improved Performance
  • +12 Decreases Complexity
  • +11 Make Predictions Quickly
  • +10 New Insights
  • +9 Detect Fraud
  • +8 Data Preparation (Data Management)
  • +14 Advanced Condition Prediction
  • +5 Data Investigation
  • +5 Customer Data
  • +11 Geo Spatial
  • +11 Interactive Visualisation
  • +7 Marketing Data
  • +12 Real Time Dashboarding
  • +10 Static Visualisation
  • +6 Transaction Data
  • +14 Support for Custom Data Connectors
  • +9 Analytics Workflow
  • +7 Cloud Hosted Data
  • -8 Weak Data Blending Capability
  • -7 Lacks Real-time Dashboard
  • -9 Fail to deliver results
  • -8 Expensive pricing
  • -9 Real Time Dashboarding and Custom Predictive Algorithms
  • -9 Data Blending
  • -12 Demographic
  • -13 Firmographic
  • -14 Location [Pincodes]
  • -6 Custom Scripting Language
  • -11 Apache Spark
  • -8 Auto-scaling
  • -13 Hive
  • -6 Licensing - Data Volume
  • -9 Licensing - Per data connection
  • -8 Licensing - Per Processor
  • -5 Licensing - Per seat
  • -6 Server Side Data Processing
  • -14 Steam
  • -12 Cost - $ per GB
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ORACLE ADVANCED ANALYTICS presence in Predictive Analytics Software

Oracle delivers its predictive analytics solution for numerous business applications, which include human capital management, customer relationship management, retail management, utility management, and others. The continuous investments for product innovations and enhancements have helped the company in getting a wide customer base and healthy financials. Oracle has adopted a mix of organic and inorganic strategies to sustain in the competitive predictive analytics market. It is one of the established players focusing on the development of database technologies and expanding its portfolio through cloud related offerings. Oracle provides a wide range of software applications, platforms, and infrastructure to enterprises worldwide. Besides the R&D in products and services, the company also intends to expand rapidly with announcements of the establishment of a data center in India in May 2017. Earlier in April 2017, Oracle NetSuite Global Business Unit, the global provider of cloud financials, HR, and Omni-channel commerce software suites, declared a massive expansion plan to quicken its international growth and to provide a single unified suite to companies worldwide.



Buyer, Food & Beverages, SME

Feb 20, 2019

“Oracle Analytics - best Intergration”

Easy Integration with Other Software
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James Smith

Feb 20, 2019

“Bit difficult to use, but gives a good result”

Oracle Corporation offers Oracle Advanced Analytics solution. This solution is deployed by application developers using R and SQL mining functions. It preserves security to anticipate customer behavior, detect patterns, and eliminates data movement. However, it is not easy to use but is sufficient to accomplish advanced computation on large data sets. It helps in providing prompt responses and improve decision-making.
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Buyer, Media & Entertainment, SME

Feb 12, 2019

“Simple, yet intuitive!"”

The software is easy to use with large volumes of data and can be customized for targeted users. If incorrect data is input, inaccurate results may be presented. It is also inconvenient to format and copy information; exporting is required. Some fields have generic names, which can lead to confusion
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Top Features

  1. Product Features and Functionality / Core Features
  2. Product Features and Functionality / Enterprise Features
  3. Product Features and Functionality / Integration with Big Data Frameworks / Data Stores
  4. Product Features and Functionality / Licensing
  5. Enterprise Features / Shared Data Sources
  6. Core Features / Data Investigation
  7. Data Management / Data Preparation (Data Management)
  8. Core Features / Advanced Condition Prediction
  9. Product Quality and Reliability / Deployment Type
  10. Product Quality and Reliability / Support for Custom Data Connectors