Turn Data into Revenue

Date: 26th Feb @ 11:00 am

Organizations across all the domain, stores and warehouses huge amounts of data of their customers across various databases and warehousing systems. Working with this amount of overwhelming data can be a big challenge and very few organizations are actually able to convert these data into actionable information and thereby develop profitable strategies.

Today BI and data science provide a solution to this challenge and the term coined for this is Customer Analytics using the concept of Machine Learning and Data Analytics to convert existing data into insights which act as an enabler for better customer understanding and thereby better revenue growth.

In this webinar, we will use modern self-service advance analytical and visualization tool that enables business users to understand underlying data, provide transparency in data collection, develop relevant data models, visualize the end result.

During this webinar we will cover:

How to define business queries around big data and analytics
Effectively use self-service tools like Alteryx and Tableau to predict and visualize future customer behaviour

Gain insights into best practices for managing and working on data-science assignments

Kunal Mishra

– Solution Consultant at CRG Solutions
(Certified Alteryx Partner, Designer Core and Designer Advance, Certified Automation Anywhere Expert)

Speaker Profile

Kunal has multiple years of work experience spanning across multiple domains like Telecom, Secondary Data Research, Retail, and others.  His current responsibility at CRG Solution is to provide consultancy in the space of Business Intelligence and Advance Analytics to Enterprise across South India.  Expert in understanding customer business related queries, identifying important KPIs from business users and enabling organizations to solve their bottleneck during the advance analytical journey. He uses his technical expertise in data strategy, advance analytics, and data visualization to manage and support enterprise accounts in technical aspects and thus help the customers achieve their data strategy.

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