Webinar: Empowering Better Decision-Making With A Modern Data Platform
Find and deliver more business insights for your remote workforce.
In the dynamic digital age, accessing and analysing the latest and most accurate data is critical for real-time decision-making. As organisations adopted the new normal of remote working, a significant increase in demand for data by remote workers has strained the infrastructure and IT staff.
Data warehouses have been the foundation of enterprise analytics and reporting for decades, yet traditional warehousing projects have struggled to keep pace with changing businesses, leading to analytics project overruns.
With the flexibility of big data platforms and the elasticity of the cloud, cloud data warehouses deliver benefits and flexibility to businesses of all sizes. Free from physical data centre constraints, organisations can dynamically grow and shrink their data warehouses to address always-changing business budgets and needs.
What you can expect
In this webinar, Empowering Better Decision-Making With A Modern Data Platform, you will learn how to:
- Design a modern data warehouse solution
- Rapidly extract and ingest data from a variety of sources
- Use Snowflake as a flexible, cost-effective cloud data storage solution
- Collect, prepare and deliver analytics-ready data
- Empower remote workers with an intuitive data experience
Date: Wednesday, 5 August 2020
Time: 11:00 am, 45-minute duration + Q&A
Head of Digital, ABM Systems. Hein has over 10 years’ experience helping clients to collaborate, engage and rethink business processes to embark on successful data automation journeys. He specialises in bringing data and intelligence to the core of the operating model and enabling companies to respond to change faster.
Ivan van Rooyen
Data Management and Analytics Consultant, ABM Systems. Ivan has over 8 years’ experience in managing and bringing data together to help clients make sense of their business. He specialises in helping clients realise their true potential by designing and implementing data pipelines and platforms.