Oracle Machine Learning (formerly Oracle Advanced Analytics) Reviews

121 Ratings
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Score 8.0 out of 101

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Tu Tran profile photo
Score 8 out of 10
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Oracle Advanced Analytics (OAC) is being used across multiple departments at Quanta to solve various reporting limitations with Excel. Within the HR department, we are using OAC as the reporting/dashboard tool to generate compliance reports against an employee data master (EDM) database. We can also track our employee movement across one business unit to another with OAC reporting. Quanta's decentralized operating model requires Corporate IT to aggregate employee data from 20+ ERPs into a single EDM database. This has allowed our HR department to have visibility into employee data across the enterprise. Our Tax department is also using OAC to run analysis on sales and use tax reports. Lastly, our Corporate Development department is using OAC visualization to map out US congressman that have Quanta companies operating in their local districts using a picture of the US map and drilling down to each state, county and district. Quanta's is slowly gaining maturity on standardizing our reporting and dashboarding tools, and OAC is a key component of our application services portfolio.
  • User interface is intuitive and easy to use
  • Performance is good. Data refreshes doesn't take a long time to process.
  • Lots of dashboarding options in the tool beyond basic line, bar, pie charts
  • Speed
  • Ability to mash up data from multiple data sources quickly
  • AI/ML to recommend appropriate visualization layout based on dataset
OAC doesn't require software to be installed since it is browser based. This allows for easier deployment since a local client software is not required to be installed for each user. OAC can be used for the casual light user who mainly consumes data to the power user who can created sophisticated dashboard with advanced analytics. OAC is not meant to replace Essbase reporting.
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Richard Perroset profile photo
Score 8 out of 10
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Oracle Advanced Analytics is being used across the sales and marketing teams. We use this program to determine customer interest in email blasts, marketing materials, SMS, search advertising, &, etc. When changes to the Affordable Care Act are being deployed by the current administration and we want to inform our customer base, Oracle Advanced Analytics helps us to determine which customer segment and messaging we should send out as well as which channel to utilize for each. We also utilize this data to test different email content and its effectiveness. I routinely use historical data to implement changes and to evaluate the impact of certain metrics on the performance of our business. I
utilize the create analysis tool to validate data that I have in other reports and also to make it easier to complete other business reports in a timely manner. Furthermore, we create dashboards and reports utilizing the OBIEE interface or by writing SQL queries to help address business questions and determine email and SMS marketing campaign audience segments.
  • The presentation layer is excellent with a lot of out of the box subject areas and reports.
  • Clear dashboard and easy to analyze data for the end user.
  • Ability to import your own data.
  • Ability to use machine learning.
  • Constant update, upgrade and innovation from Oracle.
  • Very easy to customize everything. Ideal for a complex organization.
  • The performance is excellent and the interface is very clear and minimalist which is refreshing.
  • Formatting can sometimes be time consuming.
  • Row limits in OBIEE make it frustrating when you have to export large data files.
  • The programs functionality tends to freeze when we have many users in the system.
  • It times out while you are using it and you have to login again.
Oracle Advanced Analytics is used by our Marketing, Sales and Policy Teams. We use this program to keep track of customers' behavior and trends. Oracle Advanced Analytics aids us in being able to provide the right communications to our marketing and sales customers via email, direct mail or SMS. Our policy team can track and monitors customer enrollment trends and uses this info to create dashboards for our executives and our sales team to provide a pulse of the business.
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Score 8 out of 10
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Great for any organization that needs to make sense of the vast amount of data that they produce on a daily, weekly and monthly basis. Oracle Machine Learning provides you a clear picture of your business and your end-user product generated data. This helps you to better serve your customers and also enables products and feature improvements. We use Oracle Machine Learning throughout all of our company's departments.
  • Great view of all your data in one central location
  • Fantastic customization of reports to drill down the data to your exact needs and requirements
  • UI is laid out very well and simple to use
  • New enhancements and features are constantly being improved and added
  • Your can scale Oracle Machine Learning very easily and can grow with your company
  • As mentioned by others the formatting of reports constantly has issues
  • Once your initial contract terms are up be prepared for a significant increase
  • Pricing needs to be inline with what other competitors are offering
If your company produces large amounts of data and you want to get a better picture of that data to improve business operations and improve your customer's experience then Oracle Machine Learning is for you. If you're a small company that does not produce a significant amount of data then Oracle might be a little overkill. There are other platforms that are tailor for SMB's that have almost all the functionality as Oracle Machine Learning does at a quarter of the price but are limited on scalability.
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Score 8 out of 10
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We use Oracle Machine Learning throughout most of our entire organization. Our development, sales, and technical support departments use Oracle extensively. We put everything from support tickets, development requests, and sales data into oracle to give us an overhead view of where we can make improvements to better take care of our customers' needs.
  • Throw tons of data at Oracle Machine Learning to get a birds-eye view of your companies data.
  • The UI design is straightforward and easy to onboard new people.
  • Constantly added new features and improvements.
  • It can be tailored to your exact needs with ease.
  • Performance can suffer if you input vast amounts of data all at once.
  • One your initial contract term expires Oracle will hike up your rates and after going back and forth (time-consuming) you get to a reasonable rate.
  • Like others have stated the formatting can become an issue.
Oracle Machine Learning is great for any organization that has vast amounts of data and that requires a birds-eye view of the data in simple reports. This will show you how certain departments can improve and better assist your customers. Oracle can be pricey for small to mid-sized companies compared to other competitors.
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Score 8 out of 10
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We use Oracle Machine Learning in our Sales and DevOps departments. Oracle enables us to feed our customer's constant date into an easy to understand format that makes it easy to analyze what areas of our customer's billing operations require attention. This also enabled our sales team to better understand our customer's needs and provide additional services that we offer to our existing customer base.
  • You can grow with Oracle Machine Learning since you can scale from an SMB to Enterprise-level without too much complexity.
  • Supports large amounts of data with ease.
  • Great integration with Salesforce with just a few clicks.
  • Very customizable and can be tailored to your organization's exact needs and requirements.
  • Once your initial contract ends it can become pricey.
  • Sometimes reporting formatting is off or does not format correctly.
  • Support contracts for DevOps can get pricey.
If your organization produces large amounts of data and you want to get a visual representation of that data, then Oracle Machine Learning is a great solution. If provides insights into your customers and areas where you can up-sell additional services to your existing customer base and provide better reporting to your new and existing customers of there raw data.
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Score 8 out of 10
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This program is being used across our sales and engineering team. We use this program to keep track of customers' habits and trends. Oracle Advanced Analytics (OAA) helps me be able to provide the most relevant marketing and sales information to our customers. Our engineering team can track and monitor trends while passing all this information to our sales team.
  • Very easy to integrate from other software such as SalesForce, Gmail, and Tenfold
  • Easy to format and produce reports without too much technical knowledge. Very easy to read and convey the data needed
  • Scales quite well with the amount of data we are processing on a monthly basis
  • At times OAA seem to be unstable and is known to crash. Stability can be a issue
  • Formatting, fonts, and characters customization is lacking. It would be nice to be able to create a custom repeat using the above features
  • It can be pricey compared to other analytical software
OAA seems to work best translating easy to read reports. This works great when we don't need too much overhead just a quick report to get out to our sales team. Time can be a crunch at times so this is a huge plus.
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Simon Vargas profile photo
Score 8 out of 10
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This program is being used across the sales team. We use this program to gauge customer interest on email blasts, marketing materials, etc. When a new product line is being developed or we want to reach our customer base, we are able to access a cloud of information that then takes our customer data and can send out mass information instantly.

In the past, we have discussed adding in a code to understand how effectively we are managing the sample size of our customer base versus how many are opening the email, clicking on the email, and further ordering the product discussed within.
  • Can effectively tell us first hand when a customer has submitted an invoice, is late on an invoice, and to what specific product, PO#, etc.
  • Can be integrated within existing software used in Sales such as Gmail, Tenfold, Salesforce, etc. This can help us take a pool of customers and sift through who we want and do not want to receive our marketing materials.
  • The analytical information found can be used to better understand the customer, conversation from prospect to customer, and ROI.
  • The programs functionality tends to freeze when we have our full sales team in the system. The best thing to do when this happens is to restart the computer and program entirely. Sometimes this will take time out of the day.
  • It would be helpful to have an email shipped out after 30 days of an invoice not being paid to the customers automatically so we will not have to call them again.
We track our customers monthly so data is constantly coming in about whether or not our new marketing campaign was successful versus not OR when we attend a trade show. We tend to upload information on our consumers to track how quickly we can convert the customer from a prospect to a paying customer.
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Score 8 out of 10
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Oracle Advanced Analytics is being widely across my organisation. We have a wide and diverse buyer community and supply base. The nature of our business means there is a requirement for regular one off special purchases. Oracle Advanced Analytics helps us to interrogate our buying habits and history to deliver optimum purchasing and contract management.
  • Easy to interrogate large volumes of data.
  • Simple and intuitive report building.
  • Easy to save and modify reports. Easy to export to external programs.
  • Easy to disseminate tailored information to targeted end users.
  • Can at times fail to deliver results from the reports where data or coding is incorrect.
  • Formatting can sometimes be time consuming.
  • It would be nice to be able to copy information from the tool just by highlighting it rather than exporting it.
As mentioned before Oracle Advanced Analytics is great for analyzing, combining and extracting my company's data. It delivers flexible data that is easy to understand. It can at times be frustrating where fields that are available have generic names that are not used by my organization. This can result in wasting time trying to find data that may be held in fields that you don't recognize.
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Oracle Machine Learning (formerly Oracle Advanced Analytics) Scorecard Summary

About Oracle Machine Learning (formerly Oracle Advanced Analytics)

Oracle Machine Learning (formerly Oracle Advanced Analytics) combines the Oracle database with Oracle Data Miner and SQL as well as R programming language functionality, providing a complete predictive analytics suite.
Categories:  Predictive Analytics

Oracle Machine Learning (formerly Oracle Advanced Analytics) Technical Details

Operating Systems: Unspecified
Mobile Application:No