Size and industry doesn’t matter – data is a valuable asset to any organization. According to Gartner, by 2020, more than seven billion people and businesses, and close to 35 billion devices, will be connected to the Internet. As a result, there will be a significant increase in the speed and volume of data handled by data centers.

With this growth in data volume comes uncertainty and thus adjustments you need to make to your analytics strategy. Sirius is hosting a unique Q&A session that will help you gain deeper knowledge about your data so you can improve your analytics and plan for the future. Our Analytics Fireside Webinar Chat will be held on August 10, so sign up today and tell us what you want to learn about!

We will also cover these trending topics:

  1. Speedy access to data: Self-service access to data in seconds instead of hours, days or weeks, for more thorough and timely analysis.
  2. The information core: Intuitive and drillable visuals around operational data.
  3. Advanced tools for predictive analytics: Highly engaged, performance-driven teams that utilize contemporary data technologies to solve and anticipate business problems.

About the speakers:

Darren O’Neill, Senior Director, Manufacturer Data Solutions at McKesson

With more than two decades of experience leading technology and services teams in strategic technology roadmaps and development, Darren has a passion for innovation in the world of data. Instead of “death by data,” his motto is “life through information!”

Joe Grant Bluechel, VP of Data & Analytics Solutions at Sirius

Joe oversees all aspects of the Sirius Data & Analytics Solutions practice, including client engagements, vendor management, consulting services, and IP development. The Sirius Data & Analytics Solutions practice focuses on the strategy, design, architecture and implementation of data platforms and analytics solutions. He has extensive experience in system design, application development, integration, business intelligence, data modeling, and technical training.