Seminars @ BDA

Gordon Weston, VP, Head of Engineering Delivery, Merkle
Siz Mahlek, Head of BI, Merkle
Heather Wade, VP, Senior Solutions Consultant, Merkle

At Merkle, we believe that customer experience is the future of business. Data, technology, and creativity hold the power to create more meaningful experiences. Understanding and making the most out of data and analytics is fundamental to the acquisition and retention of customers, and to creating impactful experiences in an increasingly competitive landscape. With the above in mind, we explore the top 10 trends in analytics and data, demystifying buzzwords, and setting you up with actionable advice so that you can get the edge over your competitors.

Jeffrey Pascoe, Senior Solutions Engineer, Pyramid Analytics 

Decision intelligence is what’s next in analytics. Why? In part, it’s because it solves many of the common pitfalls of business intelligence. Specifically, it can deliver direct access to any data, deploy experiences for any person, and easily meet any analytics need. But how have recent innovations in technology made these formerly sounds-nice-but-it’s-just-not-that-easy challenges a reality? It comes down to a category of platform capabilities called augmented analytics.

Augmented analytics is a term that describes the more emerging side of data management and analytics technology, including artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). When applied to the right use cases and user groups, these technologies not only increase efficiency and accuracy–they can also bring data-driven insights to groups without more technical expertise. We believe augmented analytics is the key to achieving much of the value that decision intelligence promises. In fact, the Pyramid Decision Intelligence Platform was recently ranked #1 for augmented analytics in the Gartner Critical Capabilities report.

Join this session to learn more about augmented analytics, decision intelligence, and how the future of analytics is shaping up.

COMING SOON

Ted Orme Head of Enterprise Data Integration Strategy, EMEA, Qlik

This session provides an overview of the common data architectures used today. Whether you’re filling a data lake bucket by bucket, streaming real-time data through a pipe like Kafka, considering the latest ideas like mesh or fabrics, sparking up a new lakehouse, or building a data warehouse in the cloud.

We’ll then dive deeper into Data Fabric and cover:

– What is Data Fabric?

– Why is it important?

– How a data fabric facilitates a distributed data environment

– How can you establish a data fabric architecture

Tijs Monté, Manager Solution Engineering, BMC Software 

• Many data-driven applications and projects fail to deliver on business expectations in production environments
• DataOps is emerging as a way to address these challenges and orchestration is a key component
• Learn how data professionals, ops engineers and business personas can work together to productise data pipelines across both modern data platforms as legacy systems.