The art of extracting more actionability from consumer data and advanced analytics.
Wednesday, 1st March 2023 | 10:30 AM CST / 4:30 PM UTC | Duration: 60 Mins
Get ready for another installment of Quantzig’s webinar. This time we have Sudarshan KL explain the nitty-gritties of the world of actionable customer analytics.
We live in an age where we have more customer data in a year than the prior decade put together, but most organizations apply standard or even outdated analytics approaches (standard customer segmentation, market mix modeling, churn analysis, value migration analysis, next best purchase, etc.) and struggle to derive actionability from the richer data. This ultimately results in a struggle to find takers of the analytics recommendations from the business end.
In this Webinar, You’ll Learn How to:
- Implement the cutting edge of customer journey analysis
- Extend your customer insights to achieve more business cases
- Utilize web intelligence to enhance your data
- Make your analytics more explainable and consumable
To tackle this challenge head-on, we’ve invited Sudarshan KL to shed some light on this complex topic.
Sudarshan has more than 15 years of experience in the field of analytics, management consulting, and technology. He has Implemented customer strategies, and marketing decision sciences solutions for large companies across industries such as CPG, financial services, technology, e-Commerce, and pharmaceuticals. He has a tremendous command over conceptualizing and building advanced customer analytics solutions, system dynamics, marketing ROI models, and pricing analytics engagements for Fortune 500 clients across industries.
Ready to catapult your organization ahead of your competition through the power of actionable customer analytics?
Seats are available on a first-come-first-serve basis so click on the button below to explore how to improve the insights-granularity, customize the analytics approaches to make them business friendly, explainable, and take home some cool analytics possibilities and case studies with the data that you already have.