Oracle Analytics Cloud Description
Oracle Analytics is a comprehensive platform designed for all analytics user roles, integrating AI and machine learning across the board to boost productivity and enable smarter business decisions. Whether you opt for Oracle Analytics Cloud, our cloud-native service, or Oracle Analytics Server, our on-premises solution, you can ensure robust security and governance without compromise.
Oracle Analytics Cloud Alternatives
Google Cloud BigQuery
BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises.
Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.
Learn more
icCube
icCube, a Swiss-made analytics solution, is crafted for B2B SaaS product and development teams aiming to integrate advanced analytics directly into their applications. Our dashboards are designed to merge effortlessly within the SaaS solution's UI and UX, powered by icCube’s strong analytical engine, which supports complex data models with high-level security features.
Adopting a developer-to-developer approach, the icCube team guides clients to ensure a smooth, rapid transition to production.
We recognize the challenges of data navigation, so we’re thrilled to offer our Data Analytics Boutique Services. Tailored for both new and existing clients, this suite provides seamless data integration, fortified security, deep insights, automated decision-making, and visually impactful reports.
At every project stage and throughout the product lifecycle, we partner closely with our clients, from providing quick feedback to full project and product launches.
Learn more
IBM Cognos Analytics
Cognos Analytics with Watson brings BI to a new level with AI capabilities that provide a complete, trustworthy, and complete picture of your company. They can forecast the future, predict outcomes, and explain why they might happen. Built-in AI can be used to speed up and improve the blending of data or find the best tables for your model. AI can help you uncover hidden trends and drivers and provide insights in real-time. You can create powerful visualizations and tell the story of your data. You can also share insights via email or Slack. Combine advanced analytics with data science to unlock new opportunities. Self-service analytics that is governed and secures data from misuse adapts to your needs. You can deploy it wherever you need it - on premises, on the cloud, on IBM Cloud Pak®, for Data or as a hybrid option.
Learn more
Improvado
Improvado, an ETL solution, facilitates data pipeline automation for marketing departments without any technical skills. This platform supports marketers in making data-driven, informed decisions. It provides a comprehensive solution for integrating marketing data across an organization.
Improvado extracts data form a marketing data source, normalizes it and seamlessly loads it into a marketing dashboard. It currently has over 200 pre-built connectors. On request, the Improvado team will create new connectors for clients.
Improvado allows marketers to consolidate all their marketing data in one place, gain better insight into their performance across channels, analyze attribution models, and obtain accurate ROMI data.
Companies such as Asus, BayCare and Monster Energy use Improvado to mark their markes.
Learn more
Pricing
Pricing Starts At:
$16 User Per Month - Oracle An
Pricing Information:
$16 User Per Month - Oracle Analytics Cloud - Professional
$80 User Per Month - Oracle Analytics Cloud - Enterprise
$80 User Per Month - Oracle Analytics Cloud - Enterprise
Free Version:
Yes
Free Trial:
Yes
Integrations
Company Details
Company:
Oracle
Year Founded:
1977
Headquarters:
United States
Website:
www.oracle.com/business-analytics/analytics-platform/
Recommended Products
AI-powered service management for IT and enterprise teams
Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Product Details
Platforms
Web-Based
Windows
Linux
iPhone App
iPad App
Android App
On-Premises
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Online Support
Oracle Analytics Cloud Features and Options
Data Preparation Software
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Visualization Software
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
Machine Learning Software
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Data Analysis Software
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Oracle Analytics Cloud Lists
Oracle Analytics Cloud User Reviews
Write a Review- Previous
- Next