IDC Data & AI Forum

The avalanche of data generated by companies and their customers should be a competitive advantage, but most companies are struggling to manage it all. Data accessibility, quality, governance and security are all critical for operationalizing machine learning applications, so the stakes are high. Emerging frameworks are helping us come to grips with these issues but the answers go beyond just technology.

This closed event will bring organisations together and help understand why RISE with SAP, ONE with cbs can reduce the complexity of your business transformation experience. Consulting Excellence for Global Market Leaders – cbs will share success stories and implementation best practices and explore the three possible approaches to successfully transition to SAP S/4HANA, depending on their S/4HANA readiness. As part of the business transformation experience, we will share best practices on Business Technology Platform, ensuring a unified, business-centric, and open platform for the entire SAP ecosystem. You will realise how your organisation can integrate and create value from data and extend its SAP and third-party solution landscapes to meet evolving business needs. At the end of the event, the customer will engage with one of our consultants in a bespoke 1-to-1 workshop session. The workshop will allow all invitees to bring back a high-level Digital Transformation Roadmap to move to S/4HANA Rise.

Welcome to Customer Analytics Summit, the most exciting data & customer insights event of the year! The Customer Analytics Summit is specifically tailored to unpack the issues that are most relevant to the data & customer insights community. You'll get the chance to hear from some of the most successful leaders in data & customer insights and learn how they've maximized data-driven, actionable insights to unlock extraordinary customer value. Time for you to join the fun, you won't want to miss this action-packed conference!

To effectively manage the explosion of data volumes and deliver high-performance analytics, many businesses are choosing to move to a data lakehouse, an architecture that combines the flexibility and scalability of data lake storage with the data management, governance, and analytics capabilities typically associated with a data warehouse.