Tag: Cloud BI / Analytics

Quest Forum Digital Event 2020

Artificial Intelligence (AI) and Machine Learning (ML) are a lot like preserving the Earth's environment: Almost everyone is talking about what should be done to save it, but very few people have committed to actually doing something about it.

This session demonstrates a few real-life opportunities to discover unseen patterns and relationships within sample financial and election data by leveraging the AI and ML capabilities already built into Oracle Autonomous Database.

Data is the fuel for AI - the 21st century equivalent for what electricity did for the 20th century. AI will change everything! Companies that aggregate data from multiple sources, enriched with AI, will have a distinct advantage. Come to this session to learn how Oracle Autonomous Data Warehouse, Oracle Analytics Cloud, and Oracle Digital Assistant, offer seamless conversational access to make ad-hoc queries like nothing else before. It's like superpowers for your teams!

Quest Forum Digital Event 2020

DBAs spend time dealing with maintenance, security, and outage issues with little time for innovation. Self-driving, self-securing, and self-repairing Autonomous Databases free data professionals to leverage their domain knowledge and data skills to extract more value from data. Oracle Machine Learning, part of Autonomous Database, “moves the algorithms to the data” for in-database processing of machine learning algorithms that eliminate data movement. Now, the entire machine learning process:  problem statement, data understanding and preparation, model building and evaluation, model apply and model deployment runs inside the Oracle Database.   Database developers perform many supporting tasks today, typically 80% of the work, but refer to them as ETL, data wrangling, data transformations, and productionizing scripts.   Come learn how ADW, ATP, and Oracle Machine Learning makes it easy for you to easily expand your valuable data skills and become “data scientists” in just 6 weeks!

Quest Forum Digital Event 2020

Accelerate business insights through data discovery, advanced analytics, and comprehensive Visualization delivered through Oracle BI. This session focuses on LAUSD deployment of an advanced, custom UI/UX framework on Oracle BI stack to deliver extreme Visualization and a live demonstration on how we adopted a simplified reporting platform for line-of-business users on key metrics, dazzling visualization, and infographics delivered through BI dashboards to help improve the decision-making process across the organization.

*Quest Forum Digital Event 2020

Drop Tank manages gas station loyalty technologies and programs for many of America’s best-known fuel brands. Millions of transactions and diverse POS systems bring the complexity of both scale and scope to their cloud-based data warehouse and analytics system. You’ll hear how ADW, OAC, ODI, and Oracle CX cloud work together to provide reporting and analytic insight to marketers and program managers. This real-world case study will highlight what worked well, what didn’t, and what the future promises.


  • Share the challenges that Drop Tank faces in integrating diverse data sources into a comprehensive solution in Autonomous Data Warehouse Cloud.
  • Discuss the data modeling challenges necessary for reporting complex retail transactions across thousands of individual store locations and diverse audiences for analytics.
  • Review the guiding principles and preferences that helped this implementation succeed. Discuss what it’s like to be on the cutting edge of Oracle’s technologies.

Presented by:

Tim Vlamis, Vlamis Software Solutions, Inc.
Timothy Miller, Drop Tank
Doug Schieder, Vlamis Software Solutions, Inc.

Quest Forum Digital Event 2020

Oracle Autonomous Database services are built around the Oracle database and come with fully automated with self-driving, self-securing, self-repairing, and offer two options optimized by workloads: Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP). In this session, you will learn the easy provisioning process of these two database cloud services, learn how to navigate the service console for service management, how to access the databases, define the database objects, load the data and run the query and transactions. For Autonomous Data Warehouse (ADW),  you will how to import and export large sets of data to/from ADW database, learn how to use data visualization tool built in the Oracle cloud to run advanced analytics and machine learning applications as well as some troubleshooting experiences and tips using ADW. We will also discuss the options and process to migrate your on-premise databases to these database cloud services.

Quest Forum Digital Event 2020

Based on Oracle Generation 2 Cloud Architecture,  Oracle Autonomous Data Warehouse (ADW) provides a fully automated data warehouse specific features to deliver outstanding query performance. ADW also comes with a library of Oracle machine learning algorithms and a new set of tools such as SQL notebooks for predictive analytics and machine learning. This allows Data scientists to run Machine Learning projects in Oracle Database without moving data and also allows Database developers to pick up Machine learning with database tables, SQL, and PL/SQL. l This session will examine Oracle Machine Learning as part of ADW collaborative environment. We will discuss the process to develop machine learning applications in the ADW Oracle Machine Learning environment:  analyze and prepare data set;  build and evaluate and apply machine learning model. We also will discuss other Oracle Machine Learning family products and what new features are coming up in Oracle 20c.

Quest Forum Digital Event 2020

Oracle Cloud SaaS and PaaS offer a myriad of integration choices. In this session you’ll learn about the way Yum! Brands integrates with vendors and other internal systems using SOA CS, BI Publisher, REST API’s, ATOM Feed, VBCS, JCS, and DBaaS.

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.

Access all 8 Quest Experience Week Cloud Day session recordings. Purchase now.