A Look Ahead for Advanced Analytics
Sponsored by: Signals Analytics
- Advanced Analytics
Date: 14 December
Days to go: 52
Time: 11am ET
The Future of Advanced Analytics and What it Means for Your Business
This year was a transformative year in the data and analytics industry. With so many changes in the market landscape, beginning with COVID-19, and then extending to E-commerce and Direct to Consumer marketing, the reliance on data to shape the short and long term has never been more critical. Business executives understand more than ever that good data and analytics practices will be the way out of the crisis and the basis for understanding how to plan for the future.
At the same time, there are multiple, interrelated challenges that hinder the use of analytics: (1) shortage of data science and analytic resources, (2) difficulty in translating data and insights into specific strategies and business actions, and (3) a need for very specific and relevant data that can be meaningful across the enterprise. Some of these challenges can only be resolved organizationally and some technologically.
Join us on December 14, 11am ET, as the Signals Analytics leadership unveils its predictions for where the industry is going and how Data & Analytics platforms are expected to evolve in the coming year to respond to these new market demands. We will talk about the changing world of Data & Analytics and what you need to know about incorporating these technologies and platforms into your business environments.
Here’s a sneak preview of what we will cover:
• Open platforms
• New data types
• Outsourcing vs insourcing
• Impact of COVID-19
Chief Product Officer
Prior to joining Signals, Guy served as VP Product of Verint, a leading cyber intelligence company. Guy helped facilitate Verint’s growth journey from a small company to a public company of over $1B yearly revenue and over 5000 employees. He has over 22 years of experience in technology, delivery & execution, marketing and product management. Prior to Verint, he worked in several technological positions in Intel, IBM and ECI. Guy holds a B.A. in Business Management from The College of Management and Executive MBA from Bar-Ilan University.
Key Learning Objectives
- Understand how analytics are evolving to meet the needs of the data-driven enterprise
- Gain insight into emerging analytical capabilities that will transform the ability for organizations to plan and react to emerging trends, such as DTC and e-commerce
- Get a front row seat to the ways the data ecosystem is coming together to make it easier for companies to deploy and implement analytics
- Learn how to leverage the technological advances in analytics and enterprise AI and how best to align your organization as a result
- Decision Science
- Data Science
- Demand Science
- Data & Analytics