Oracle Machine Learning

Formerly Oracle Advanced Analytics

Oracle Machine learning (formerly OAA) addresses a wide range of problems related to big data and data analytics. It helps the analytics team to analyze huge chunks of raw data obtained for research purposes. This data can come from open source, or medical equipment companies, and more.

OAA (now OML) is being used at the departmental level, rolling up to the region (North America) and finally to the whole organization. It has assisted in identifying weaknesses and leakages in the organization and assessing anomalies in P&L, Balance Sheet, and Cashflow reporting. The ability to scale up has provided a unique view to assess what ails the organization as a whole from the ground up. The ability to address pervasive issues is critical in fixing the leakages and anomalies throughout the organization.
The other concern was being able to segment data and analytics by department. One dept. did not need to see the other department's numbers and vice versa. The ability to manage access rights is also a critical feature of this module.

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.

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.

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.

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.

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.

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.

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.

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.