ON-DEMAND WEBINAR
Simplify data management for agile analytics with Microsoft Fabric
As an IT leader or data professional, you are familiar with the challenges of integrating data from various systems, a technically complex task that is crucial for informed decision-making.
It’s like piecing together a giant jigsaw puzzle with pieces that change over time and increase in volume. You are dealing with different data formats and structures, managing both on-premises and multi-cloud data while ensuring data accuracy, consistency, and reliability.
In addition to these technical demands, you also need to keep the data secure and ensure compliance with regulations, manage costs and resources effectively, and deliver projects within reasonable timeframes.
Watch to learn about Microsoft Fabric. Fabric is an end-to-end data analytics platform that can help your organisation manage data more efficiently.
The content of this webinar is best suited for CIOs, CTOs, CDOs, data analysts, data scientists, data engineers, IT professionals, and other technical decision maker roles.
Senior Business Intelligence Consultant
Greg has worked at Professional Advantage for the more than 20 years. His current role is as a Senior Business Intelligence Consultant focused on implementing business intelligence solutions to deliver greater insight and knowledge to clients with their data. Previously Greg worked as a Dynamics GP Consultant specialising in procurement and service-based industries.
Business and Technology Consultant
Travis is a Data Analytics consultant who works to extract as much value as possible for clients from different platforms. A Subject Matter Expert in Power BI for both data modelling and data visualisation, with over 18 years in the IT industry and an MBA, Travis provides a big-picture perspective on his engagements.
Business Development Manager
Rebecca is dedicated to helping organisations improve via the application of technology. Rebecca has over 16 years of experience working with customers to achieve more with technology.