Modern-day Revenue Growth Management (RGM) embraces data-driven strategies to navigate evolving market complexities, optimizing pricing, promotions, assortment planning, and channel management. By leveraging data, CPGs unlock growth avenues and tailor strategies for sustainable success in the digital era.
Topic: Data Science Consulting
Sales Innovation: Navigating Digital Disruption & Evolving Consumer Behavior
As Consumer Packaged Goods (CPG) companies grapple with shifting consumer behavior and market complexities, a data-driven approach is imperative to transform sales operations. This article explores the changing landscape of sales functions within CPG companies and the need to prioritize customer focus, manage increased responsibilities, and drive the adoption of digital tools for sustained growth.
Digitizing Revenue Growth Management for Scale and Impact
The CPG industry grapples with digital disruptions, supply chain complexities, and inflationary pressures. To overcome these hurdles, companies must rely on data-driven Revenue Growth Management (RGM).
Optimizing Data Protection: Leveraging BigQuery for Disaster Recovery
Understanding the need for Disaster Recovery According to the Uptime Institute’s Annual Outage Analysis 2021 report, 40% of company outages or service interruptions cost between $100,000 and $1 million, with approximately 17% costing more than $1 million [1]. Therefore, for operators of mission-critical systems, recovering data from sudden outages and data breaches through effective recovery… Continue reading Optimizing Data Protection: Leveraging BigQuery for Disaster Recovery
Three Major Factors Transforming the Media & Entertainment Industry
This article explores three major factors shaping the future of the media and entertainment industry, namely the growing influence of social media on marketing and content distribution, the increasing buying power of Gen Z, and the role of analytics and artificial intelligence (AI) in improving various aspects of the industry, such as content customization, distribution, and metadata tagging.
Racing to Set Up a Data Science CoE? Here are 5 Pitfalls to Avoid
Setting up a Data Science Center of Excellence (COE) is essential for becoming a data-driven organization, but avoid these mistakes.
The Changing Face of Financial Planning and Analysis in CPG
Amidst evolving consumer behavior and economic fluctuations, CPG companies turn to advanced analytics, AI, and automation in FP&A for efficiency, data accuracy, and market adaptability.
The Revenue Growth Management Playbook for CPG
To navigate the uncertain market conditions, CPG companies are focusing on Revenue Growth Management (RGM). Modern-day RGM is a proactive approach that uses AI and analytics to optimize pricing, promotions, trade investments, and assortment and distribution, helping CPG businesses thrive in challenging times by ensuring they sell the right products to the right customers at the right price and time.
Causal Inference and Statistical Tests for Business Analytics
What is causal inference? Suppose a fashion retail company takes out a promotional discount offer during a weekend and sees a considerable increase in sales that weekend. Should they celebrate the success of the promotional campaign which led to all that increased sales? Or should they pause to learn whether the uptick in sales was… Continue reading Causal Inference and Statistical Tests for Business Analytics
A Simple Guide to a Smooth Legacy System Migration
In today’s digital age, updating your IT systems is crucial for staying competitive. Legacy system migration can be a complex process, but by following key steps, you can cut costs, enhance business value, and give your enterprise a modern outlook.