Oracle Analytics Cloud
- Big Data Analytics Tools
- Big Data Visualization Tools
- Business Analytics Tools
- Business Intelligence Tools
- Cloud BI Solutions
- Data Analytics Software
- Data Cleaning Tools
- Data Discovery Tools
- Data Management Tools
- Data Preparation Software
- Data Warehouse Tools
- Diagram Software
- Ecommerce Analytics Software Tools
- Enterprise Reporting Software
- HR Analytics Software
- OLAP Tools
- Predictive Analytics Software
- Qualitative Data Analysis Software
- Self-Service BI Tools
What is Oracle Analytics Cloud?
Industry Specialties: Serves all industries.
Oracle Analytics Cloud Pricing
Based on our most recent analysis, Oracle Analytics Cloud pricing and cost details are described here:
- Price
- $$$$$
- Starting From
- Still gathering data
- Pricing Model
- Still gathering data
- Free Trial
- Still gathering data
Oracle Analytics Cloud Benefits and Insights
Key differentiators & advantages of Oracle Analytics Cloud
- Customized Responses: Get tailored responses to queries made in the personalized search feature, which can answer users’ specific business questions.
- Discover Data Trends: Highlight correlations between data points when displaying information visually, with a brushing feature that works across visualizations and updates so that users always have current information.
- Conversational Analytics: Ask analytical questions using natural language queries, in the way users would speak normally. Automatically generate natural language explanations of results to explain visualizations and trends. Receive guidance from chatbots across datasets to improve data literacy, allowing non-technical users to interact intimately with data.
- What-If Scenarios: Make accurate predictions and forecasts through what-if modeling, using a native multidimensional analysis engine called Oracle Essbase to develop complex business models.
- Collaboration: Share content in real time with other employees, shareholders, contractors and more with collaboration features. Find opportunities to share data and facilitate discussions that are stored alongside the visualization that spawned them.
- Machine Learning: Let the system autonomously identify patterns and trends through machine learning algorithms, then create the best visualization for the dataset. Generate narratives to immerse viewers and users in the significance of data.
Industry Expertise
Oracle Analytics Cloud Reviews
Average customer reviews & user sentiment summary for Oracle Analytics Cloud:
719 reviews
Synopsis of User Ratings and Reviews
Based on an aggregate of Oracle Analytics Cloud reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.
Pros
Cons
Researcher's Summary:
Key Features
- Data Preparation: Structure a range of data types, clean the data sets and prepare them for analysis with functions like clustering, forecasting and anomaly detection. Receive recommendations on the best way to cleanse, enrich and combine data to eliminate outliers and generate cohesive recommended visualizations.
- Data Connectors: Choose from over 45 data connectors to draw data from a huge range of data warehouses, databases and big data sources, then enter the data into a single interface. Employ drag-and-drop data blending between self-retrieved and proprietary data.
- Visualizations: Simplify data visualization by letting the system auto-create visualizations from data provided from a selection of 35 different options including charts, graphs, scattergrams and more. If the base selection isn’t enough, leverage over 20 downloadable add-ons and hundreds of third-party visualization options. Automatically generate narrative explanations of these visualizations while they are created, collaborated on and changed.
- Predictive Analytics: Get a smooth head start on creating forecasts based on historical data via pre-built predictive analytics models, or dig deeper and create custom models tailored to your unique needs.
- Mobile: Enjoy a consistent user experience across systems through a native mobile app, optimized for handheld devices and designed for touch. Utilize multi-gestural interactions to interact with data in an intuitive way unique to mobile devices.
- Embedded Analytics: Embed it into other enterprise solutions such as CRM through Javascript embedding, and embed visualizations, reports and dashboards directly into other applications.
Suite Support
Compare Big Data Analytics Tools
Compare Big Data Analytics Tools
Relevant Articles
Testimonials
We chose Oracle Analytics Cloud Service to extend into and integrate with our existing big data analytics. With the help of Oracle Partner Vertice, this modern, agile, platform has enabled us to readily externalize our existing analytics and share insights with key customers.
We chose Oracle Analytics Cloud to help us both consolidate and then analyze management information at a group level, across our diverse portfolio. With the help of Oracle Partner Vertice, we will deliver more analytics at a Group and subsidiary level and further enhance our data-driven insights.
We are proud to implement Oracle Analytics Cloud. At first, we were reluctant to consider such a new concept, but once we saw its benefits – such as scalability, cost effectiveness, and ability to deliver actionable insights from our data – our decision was made.
We chose Oracle Analytics Cloud Service to help us leverage vast amounts of trip data for our customers around the world. With the help of Oracle Partner Vertice, we will deliver on-demand analytics, transforming taxi companies and other businesses in ground transportation into more data-driven organizations.
With Oracle Analytics Cloud, Enterprise, we aim to improve efficiency in decision making and have access to self-service analytics. With Oracle, we now have easier access to data from different sources across the enterprise — this flexible reporting framework will help us expand and scale our business.
Our goal is to transform computing by building technology in the cryptocurrency, blockchain, and AI space. It is critical for us to have a reliable, efficient enterprise data warehouse so we can generate actionable insights in real time, which is why we chose Oracle Autonomous Data Warehouse, Oracle Data Integration Platform Cloud, and Oracle Analytics Cloud.
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