Agenda for the event:
6:00pm - Doors open and networking begins. Food, refreshments and goodies are kindly provided by Epsilon
6:40pm - Opening remarks
6:45pm - Converting Data into Actionable Insights with Stephanie D'Sa, Head of Strategy & Insights, EMEA, Epsilon UK
7:30pm - Panel from Data, Insights and Marketing Experts
8:00pm - Closing Remarks
8:10pm - Final networking
8:30pm - Close
Stephanie D'Sa, Head of Strategy & Insights, EMEA, Epsilon UK
Your organisation might be sitting on the world's largest data pile, but it's useless unless you have the means to translate it into insights that drive your business. In this practical Meetup you’ll walk out with a helpful framework on how to both sort your data and then turn that data into meaningful stories and business successes.
Stephanie D’Sa, Head of Strategy & Insights, EMEA for marketing and data experts, Epsilon, is flying over from London to share a practical roadmap on how to extract insights from your data through context, need, vision and outcome.
The framework and principles discussed here will help you reveal insights in your data, inspiring you to build on the most relevant narrative uncovered in that data to help propel your business.
Marketers need to establish guidelines, similar to an architect's blueprint, for working with data effectively—but there's no reason it can't be approached creatively. You’ll walk away with a knowledge for:
• How to sort and segment the data you have
• How to map out your customer journey
• How to extract insights from your data
Turning data into actionable insights can be an unstructured process. Joining us on the night will be a panel of practitioners who will discuss several techniques to get you to understand your data needs and turn them to actionable insights.
They will help you answer the following questions will help illuminate the best plan for using your data including:
Context: What are you trying to achieve?
Need: What specific needs could be addressed by intelligently using data? What will this project accomplish that was impossible before?
Vision: What will meeting the need with data look like? Is it possible to mock up the final result? What is the logic behind the solution?
Outcome: How and by whom will the result be used and integrated into the company? How will the success of your data and this project be measured?