Building Your Company's Data Strategy

A three-day, intensive workshop focused on developing a successful BI and analytics data strategy. Companies are dealing with exploding amounts of data. Although most people agree that data is a corporate asset, there’s little discussion about how companies can ensure that data is being managed and used effectively. With the continued growth of IT budgets, it has become commonplace to challenge the value and ongoing costs of managing data assets. Most IT organizations are prepared to discuss their strategy for technology platforms, tools, and methodologies, but few are equipped to discuss their strategy for corporate data resources. Learn how to build a successful data strategy that enables BI and analytics across your organization while ensuring that regulatory and compliance concerns don’t transform information assets into liabilities.

Spotlight


OTHER PAST CONFERENCES

11th Annual Data Analytics for Healthcare Summit

December 6-7, 2023 | Canada

The 11th Annual Data Analytics for Healthcare Summit returns to Toronto in 2023 with data and technology experts from Canada’s top healthcare organizations. Secure your spot today and: Hear from industry experts on the latest use cases, both business and clinical, providing you with the ideas and tools needed to apply to your own organization. Discover the latest innovative technologies to transform your organization’s data-driven strategy. Establish valuable partnerships for collaboration and data knowledge sharing to futureproof your organization. Leave with best practices from 30+senior healthcare data executives.

TRUST YOUR DATA, TRUST YOUR AI

January 18, 2024 | USA

Cloudera Now, our quarterly virtual event, is designed for all data practitioners including data scientists, data engineers, and analytics professionals who want to learn about our latest and greatest product innovations. Through comprehensive demos, customer use cases, and interactive Q&A, attendees will gain new skills and knowledge to bring back to their organizations.

Data Innovation Summit

March 13, 2024 | Singapore

Welcome! The Data Innovation Summit is the largest and the most influential annual Data and AI event represented in three regions, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics, working with Data Science, Big Data, ML, AI, Data Management, Data Engineering, IoT and Analytics, in one place to discuss ways to accelerate AI driven Transformation throughout companies, industries and public organisations. The Data Innovation Summit APAC is constructed so it equally addresses all the elements of data-driven and AI-innovative business: data, people, processes and technology. The event is built to be both business and technical, practical and inspirational, realistic and futuristic, educational and exciting, regional and global, live and digital, general and niched, inspiring and influential. It is showcasing some of the best data driven innovative projects, products, business ideas and technologies, presented by some of the most advanced and innovative organisations in the world.

Data Universe 2024

April 10-11, 2024 | USA

On April 10-11, 2024, we will be hosting a first of its kind comprehensive data, analytics, ML, and AI event in New York City at the North Javits Center. This is more than a conference; it’s a grand stage to stimulate big ideas, foster collaborative thinking, and chart your course for success in 2024 and beyond. Data Universe brings together 250+ global industry pioneers and 100+ sponsors and exhibitors, covering every aspect of business transformation and cutting-edge technology. Connect with ecosystem partners, gain valuable insights, and leverage expertise that could be the catalyst for your growth. This is a unique opportunity to participate in a brand-agnostic, internationally-minded data and AI event. Spread the word and encourage those in your network who would benefit from this experience. Please note, registration is mandatory to secure your place at Data Universe.