LIVE WEBINAR: Spotting Trends and Uncovering Patterns in Data Through Analytics with FAW

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Date(s) - 01/19/23
9:00 am - 10:00 am


Join us LIVE on Thursday 19th January 2023 at 9am PST / 5pm GMT!

Do you want to make decisions faster and with all the data available not just some of it? Do you want to be able to easily unravel the underlying science of taking raw data and analyzing it to find trends and uncover patterns in your data. With the power of Oracle FAW, we are helping our Oracle SaaS customers to make the right decisions based on all available data such as customer preferences, trends, and new areas like ESG Reporting.

Oracle’s Fusion Analytics Warehouse (FAW) provides a pre-built platform for Financials and HCM Cloud users to perform cross-pillar business analyses.  This extensible solution gives business users the ability to monitor KPIs, perform self-service analysis and integrate their own data.  In this session we will demonstrate the power of the platform for Finance and HCM users with examples of next-generation user analytics and discuss our unique approach to implementing, extending, and supporting FAW including considerations for security and governance.

Presented by:
Sid Tripathy, Technology Director, Namos Solutions

A highly experienced Oracle Cloud/Integration Lead specialising in integration solutions, technical design/delivery, reporting solutions, testing and business facing. Sid has over 17 years’ experience in the Oracle arena and worked on many large-scale transformation projects using Oracle Technologies. Sid strives to deliver technical solutions with customer as the primary focus, he is a proven achiever who is committed to aligning technology and business to generate cost-effective solutions and deliver multiple, mission-critical, projects on time and within budget.

Mark Daynes, Innovation Director, Beyond Systems

Mark has been working with Oracle technology since 1990.  He is an Oracle ACE, Professional Scrum Master and olds certifications in Analytics, Autonomous Database and Machine Learning. Outside of business, Mark is a keen skier and plays lead guitar in a covers band.


Bookings are closed for this event.