Tag: Data Analytics

During Quest Forum Digital Event: Emerging Technology Day, Carlos Chang, Oracle Product Marketing, presented how Oracle Autonomous Data Warehouse, Oracle Analytics Cloud, and Oracle Digital Assistant offer seamless conversational access to make ad-hoc queries like never before. Data is the fuel for AI – the 21st century equivalent to what electricity did for the 20th century. AI will change everything, and companies that aggregate data from multiple sources, enriched with AI, will have a distinct advantage.

Presented at Quest Experience Week (QXW) - Database & Technology Day

In today’s world, the ability to quickly create value from different types of data increasingly provides businesses with a competitive edge. But as companies develop more apps, analytics, and ML to digitize their processes and decision points, they’re faced with a difficult choice: to either optimize for fast application development now or easier value creation from data later. In other words, developer productivity or data productivity. In this session, Maria Colgan will explain how Oracle gives developers the right tools for each job to make them more productive, and IT a unified data tier that makes the reuse of data and overall management simpler and easier.

Quest Forum Digital Event 2020

This presentation will give more functional users tips and tricks that I've learned over 20 years of using PeopleSoft.   When we went to PeopleSoft there was so much more data available to us but no one to extract that information and analyze it.

Quest Forum Digital Event 2020

Large cities are often the most progressive adapters of technology of government institutions. Join us as we discuss the challenges of large, diverse user groups like finance, roads and transportation, public health and safety including fire and police, parks and recreation, and license and regulatory enforcement. We’ll review the most useful frameworks and methods that bring value to the analytic systems of cities and other similar government agencies. We’ll also use publicly available data to demonstrate how to leverage the power of Oracle Analytics in delivering powerful results and value.

As part of Quest Experience Week (QXW) 2019, Jeffrey Jordan, Director of Enterprise Services for the State of Maine, spoke about the State of Maine’s continuing journey into data analytics with Oracle Cloud and the Oracle Analytics Cloud Services implementation project that the team has been working on. In the last year, the State has rolled out a data model with Oracle Analytics Cloud to support the analysis and report on more than 3,000 general ledger accounting, human resources, and biennial budget data elements. Jordan's presentation covered how the modern presentation and data exploration capabilities of the Oracle Analytics platform, combined with the ungoverned data mashup capability of Oracle Data Visualizer, has led to early success stories and user adoption.

Oracle Advanced Analytics 12c, delivers parallelized in-database implementations of data mining algorithms andintegration with R. Data analysts use Oracle Data Miner GUI and R to build and evaluate predictive models and leverage R packages and graphs. Application developers deploy OAA models using SQL data mining functions and R. Oracle extends the Database to an analytical…

Your customers’ experience with the speed of your applications is an important differentiator. As you move to the cloud, delivering excellent performance experiences becomes even more challenging. Traditional Oracle performance management isn’t enough; our revolutionary approach enables you to understand exactly how your users experience your systems. In this webinar, Cary Millsap, the creator of…

Dhvani Sheth, Solution Engineer at Oracle, showed how Oracle Analytics Cloud and Oracle Autonomous Data Warehouse can provide useful data analysis and visualization to HR departments. Hiring the right people requires a lot of time, money, and effort. However, hiring the wrong people can be just as costly, if not more so. Without using data analytics to make data-driven decisions, HR departments may be prone to hire based on a cognitive bias that they aren’t aware of. Instead of using traditional techniques, HR can use data analytics and visualization to find patterns within large volumes of data to make insightful hiring decisions for the company.