Analytics and Data Summit 2018

Dan Vlamis will introduce Analytics and Data Summit 2018 and Spatial Summit leaders will introduce the Spatial Summit during opening talks on Tuesday.

Oracle Autonomous Data Warehouse Cloud is the industry’s first self-driving, self-securing, self-repairing database cloud service, offering you high availability, performance and security without human intervention. Oracle Autonomous Analytics Cloud is the industry’s leading cloud analytics platform, empowering you to achieve broader, deeper, and faster insights with augmented analytics in a hands-free platform. Join Oracle executives Andy Mendelsohn and Waqar Hasan to hear how Oracle’s new Cloud services leverage AI and machine learning to redefine the state-of-the-art for data warehousing and analysis, so you can ask any question of any data and get better answers faster

This session answers architecture questions related to the overall structure and strategy for an enterprise analytics system. How do we design a data warehouse for analytics purposes? What do we integrate into a central warehouse or maintain in separate data marts? How do we integrate long term storage systems that we need to query only occasionally? Data lakes? Big Data?? What are the tradeoffs with different tools and how much do we invest in custom code? How do we integrate real-time data streaming? What ETL and integration strategies are we going to use? Where and how do we extend our raw data with calculated measures and analytic functions? How do we create a system that has a strong foundation, but can grow and evolve over time? This presentation will draw from real-world data architecture projects that were designed with analytics in mind.

Join us for our lightning round presentations by our sponsors. These are about 4-minute presentations by each sponsor, moving quickly between sponsors. Come have lunch with us! You can also download each of the sponsors' presentations.

Every 15 minutes the world’s news is captured into the Global Knowledge Graph. The data set contains nearly a trillion sentiment snapshots and more than 1.5 billion location references. 
Oracle ingested the data set on the Bare Metal Cloud to create a data warehouse. The project was designed to meet the needs of big data users, such as cyber threat and defense intelligence analysts. They require analysis of the connections between people, places, events, content and sentiment embedded in traditional data sources. They also need a pipeline and robust visualizations to filter the data, carve out relevant subsets and save the results to a property graph database for further analysis.
This session will describe the challenges, complexities, and technologies used to create a 35TB data warehouse, and filter, visualize, analyze and write results back, with a single click, to the Oracle Spatial and Graph database using Tom Sawyer Perspectives.

The world of business analytics is rapidly changing. Technology is focused on bringing more and more functionality to end users and automating or obscuring many of the tasks that were the cornerstone of a number of technology careers. As the skills that were in extremely high demand 5 or 10 years ago become less valued in the marketplace what skills should you focus your efforts on today, that take advantage of the skills you already have, to continue to advance your career as a technologist? 
In this panel discussion thought leaders from the analytics industry will exchange views on the changing landscape of business analytics and technology and share their impressions of the current and future state of the industry. The panel, with participation from attendees, will try to separate the hype from reality about what skills really matter and how to stay relevant and advance your career in the ever-changing world of analytics.

This session will cover a real world example of multiple Oracle products being used for data projects and marketing campaigns across an enterprise level business vertical. 

A major national partner in the telecom space - with 600 retail locations and 8 million customers - needed comprehensive analytic help which required the following cloud based Oracle products:
1) OCI - Bare Metal - Housing the entire US consumer database of 260 million records with 100's of household attributes
2) OAC - Geo-spatial audit of their retail trade area currently used for prospect canvassing
3) OAC - Using Advanced Analytics to create extensive profiles/personas of who was buying their product
4) OAC - Using advanced modeling techniques to build predictive audience files to power new customer acquisition programs
5) ODC and OnRamp Services - Pushing millions of prospect and customer records into Onramp Services for use in OMC
6) OMC - Monitor existing customer buying cycles for renewal and cross-sell opportunities - and suppression against new prospect audiences
7) OMC - Monitor behavorial triggers inside BlueKai DMP for optimal promotion of client brand
8) OAC - Effective post campaign reporting with ROI and other KPI’s used for better attribution of marketing spend.