Analytics and Data Summit 2018

In the Cloud managed Data Warehouse services are still rare. Amazon Red Shift and Snowflake are examples of new contenders in the market place. At Oracle Open World Larry Ellison announced the Oracle Autonomous Data Warehouse Cloud service (ADWC). It shall become available at the turn of the calendar year as a fully managed DWH service, running on Exadata hardware.

sumIT took part in a preview programme in summer and autumn of 2017 and has gained insights and experience with the new service. In this presentation those experiences will be shared with the audience. Key features of the service, like its ease of provisioning, use, and interfacing other systems and clouds will be presented and also demonstrated.

Lessons learned will be told, the services sweet spot and limits be discussed. Moreover, AWDC will be compared to other managed DWH cloud services. This will illustrate the advantages AWDC gives customers, but will also help identify room for improvement in future AWDC versions.

One of the biggest ongoing discussion points, and in fact a key decision factor to be bedded down prior to implementing a BI, Analytics application is whether it should be implemented as an on premises system, or as a cloud solution. We have come fairly quickly from a place where we had hardware on raised pallets in dark corners of basement floors. By contrast, we are now in the place where as far as possible, the business attempts to give the individual user access to self-served information on their personal device, at any time. The analogy I often use for this is one where my Grandfather one day clung to one end of a firmly planted Tulip and said to me; “ Look how strong I am, I have the world on the other end of this!” The internet used to be the domain of the few, and now it is almost impossible for an individual to function without it. In this discussion I will cover some fairly weighty topics, but in plain ‘ol English! This discussion is for Senior Executives in Finance or IT.

Modern global supply chains are highly complex ecosystems. Despite decades of innovations to streamline and optimize operations, companies still consistently face challenges with end-to-end visibility, product tracking, bootlegging, fraud, compliance, safety, and delivery speed. Supply chain-related crimes and disruptions cost companies billions of dollars annually across the globe.

This session showcases how blockchain, IoT and machine learning can be harnessed to fight some of the key supply chain risks and challenges of today.  When implemented right, this solution improves customer trust, minimizes losses and optimizes end to end operations. The session will cover the use cases, technical architecture and implementation considerations.