Departmental Data Warehouse
Oracle Departmental Data Warehouse is a complete, self-service data analytics solution enabling business teams to get the deep, trustworthy, data-driven insights they need to make quick decisions. The governed, secure solution reduces risks while increasing both IT and analysts' productivity.
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Data-driven business agility without compromise
Discover how Oracle Departmental Data Warehouse benefits business users and IT teams.
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Easily implement a new departmental data warehouse and quickly start analyzing data.
Data-driven business agility without compromise
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Why Departmental Data Warehouse by Oracle?
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Self-service, governed, and secure to meet business and IT needs
With a self-service solution, business users independently load, transform data, build business models, and automatically discover insights powered by machine learning. IT reduces risks with a governed and secure solution. IT teams can additionally rely on a simple, reliable, and repeatable approach for all data analytics requests from business departments.
Read the data-driven business agility without compromise paper (PDF) -
Automation uniquely simplifies operations and boosts productivity
Oracle Autonomous Database intelligently automates provisioning, configuring, securing, patching, backing up, performance tuning and repairing of a data warehouse. This reduces administration effort by up to 90%, enabling business teams to operate independently while freeing up valuable resources for IT teams.
Read the Moor Insights & Strategy report: 4 reasons why Oracle Autonomous Database is right for IT and data consumers (PDF) -
All-in-one solution with comprehensive suite of built-in tools
Customers can uniquely combine all necessary data across different sources and formats in a single converged database to drive secure collaboration around a single source of truth. Analysts can use graph, spatial analytics, build machine learning models, and create new applications themselves with no/low code built-in tools. Nothing more to purchase, install, and integrate.
Watch how to empower business teams (1:55) -
Elastic autoscaling for consistent high performance and cost savings
Any number of concurrent users can benefit from consistent, high query performance, even at peak times. Unlike other cloud services, Oracle Autonomous Database scales while the service continues to run and can do so automatically to maintain performance. Compute resources can conversely be reduced or shut down during more quiet periods to reduce customers’ costs. All with no or minimal intervention from IT.
Learn more about Oracle Autonomous Database for analytics and data warehousing
Departmental data warehouse use cases
Empower business users across departments
Enable business users in finance, HR, or marketing to rapidly load, prepare, share, collaborate, and analyze data. Analysts benefit from a self-service data analytics solution that is governed, secure, and scalable.
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Eliminate manual and complex tasks
Migrate existing data marts to Oracle Autonomous Database to take advantage of unique automation benefits, eliminate human errors, and get consistent high performance. Leverage built-in data tools for simple, self-service data loading, data transformation, business modeling, and automatic insights. Existing Oracle Database customers can maintain the same data models, tools, and ETLs, making it simple to modernize.
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Freedom of choice
Want to take advantage of Oracle Autonomous Database while relying on a third-party analytics tool? Customers have a wide range of options.
Prebuilt, self-service data analytics for Oracle E-Business Suite
EBS Analytics Cloud Accelerator is a prebuilt solution for E-Business Suite powered by Autonomous Database and Oracle Analytics Cloud. It enables finance professionals to rapidly uncover underlying drivers of profitability, improve the use of working capital, and control business expenditures.
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Oracle Machine Learning
Experts and citizen data scientists within business departments can build and deploy machine-learning models in Oracle Autonomous Database, without moving the data to another system.
Oracle is taking a different approach and using automation to deliver a point-and-click, drag and drop experience that's so intuitive it's like the iOS of the enterprise cloud data warehouse space.Patrick Moorhead Founder, President and Principal Analyst, Moor Insights & Strategy
Enabling data analysts, citizen data scientists, and business users to create and analyze their own data sets with self-service tools avoids IT bottlenecks and significantly improves their productivity.Bradley Shimmin Chief Analyst, Omdia
Customer successes
How to implement self-service data analytics for finance teams
Bertrand Matthelie, Senior Principal Product Marketing Director, Oracle
No longer is it enough for finance teams to report financial results and streamline processes; in fact, 85% of an ESG survey respondents believe it is imperative for the finance organization to transform from reporting on "what" is happening in the business to "why" things are happening. Finance leaders are expected to answer new questions from executives every day, and to guide business strategy. How can IT enable finance teams to get the deep, trustworthy, data-driven insights they need to make quick decisions—while ensuring data governance, security, and saving significant time and efforts?
Read the complete postFeatured blogs
- March 18, 2021 It’s Independence Day every day with the new Autonomous Database Data Tools
- February 4, 2021 Disruption in Financial Services: 5 ways you can benefit from Oracle Autonomous Database
- January 28, 2021 3 ways retailers can harness disruption with Oracle Autonomous Database
- December 10, 2020 Are the key insights you need hidden in spreadsheets?
Departmental Data Warehouse resources
Additional information
Why customers choose Oracle
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Try Autonomous Database and Oracle Analytics Cloud for free
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Learn how to provision Autonomous Database and Oracle Analytics Cloud, how to create a connection from Oracle Analytics Cloud to Autonomous Database, how to prepare a provided data set, and how to create visualizations with step-by-step instructions.
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