C5i Case Studies Product Reviews and Ratings Solution with Outlier Identification for a Leading PC manufacturer

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	Product Reviews and Ratings Solution with Outlier Identification for a Leading PC manufacturer C5i

Product Reviews and Ratings Solution with Outlier Identification for a Leading PC manufacturer

C5i

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Natural Language Processing (NLP)
Applicable Functions	Product Research & Development Sales & Marketing
Use Cases	Predictive Quality Analytics
Services	Data Science Services
Challenge	A leading global PC manufacturer wanted to set up a completely automated system of analyzing reviews and ratings for self and competition, enabling actionable insights for product, marketing, and consumer research teams. The client wanted to understand top-rated products by different categories, create an automated solution to categorize unstructured customer reviews, and use NLP and sentiment analysis approach to create insights on behavior and brand perception. Read More
About Customer	The customer is a leading global PC manufacturer. They are a major player in the Information Technology industry and have a significant presence worldwide. The company is known for its innovative products and has a strong focus on customer satisfaction. They are constantly looking for ways to improve their product offerings and understand their customers better. To this end, they wanted to set up a system that could analyze reviews and ratings for their products as well as their competitors'. The goal was to gain actionable insights that could be used by their product, marketing, and consumer research teams. Read More
Solution	The Minerva team conducted a two-day workshop to understand the client's requirements and created an approach for the same. They set up automated data mining bots and a technology stack for creating an end-to-end solution. The team collected, sanitized, stored, and analyzed multi-region data covering qualitative and quantitative measures and KPIs. They provided periodic and ad hoc analysis based on different requirements from global stakeholders. They also created a buzzword cloud which helped in understanding attributes that really mattered to a large audience. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Natural Language Processing (NLP)

Applicable Functions

Product Research & Development

Sales & Marketing

Use Cases

Predictive Quality Analytics

Services

Data Science Services

Challenge

A leading global PC manufacturer wanted to set up a completely automated system of analyzing reviews and ratings for self and competition, enabling actionable insights for product, marketing, and consumer research teams. The client wanted to understand top-rated products by different categories, create an automated solution to categorize unstructured customer reviews, and use NLP and sentiment analysis approach to create insights on behavior and brand perception.

About Customer

The customer is a leading global PC manufacturer. They are a major player in the Information Technology industry and have a significant presence worldwide. The company is known for its innovative products and has a strong focus on customer satisfaction. They are constantly looking for ways to improve their product offerings and understand their customers better. To this end, they wanted to set up a system that could analyze reviews and ratings for their products as well as their competitors'. The goal was to gain actionable insights that could be used by their product, marketing, and consumer research teams.

Solution

The Minerva team conducted a two-day workshop to understand the client's requirements and created an approach for the same. They set up automated data mining bots and a technology stack for creating an end-to-end solution. The team collected, sanitized, stored, and analyzed multi-region data covering qualitative and quantitative measures and KPIs. They provided periodic and ad hoc analysis based on different requirements from global stakeholders. They also created a buzzword cloud which helped in understanding attributes that really mattered to a large audience.

Impact #1	Scaled from 3 countries to 15+ countries in 3 months time
Impact #2	Stored and analyzed approximately 20 million data points spread across different countries
Impact #3	Created region specific, on-demand 24/7 accessible dashboards for stakeholder consumption

Impact #1

Scaled from 3 countries to 15+ countries in 3 months time

Impact #2

Stored and analyzed approximately 20 million data points spread across different countries

Impact #3

Created region specific, on-demand 24/7 accessible dashboards for stakeholder consumption

Benefit #1	Scaled from 3 countries to 15+ countries in 3 months time
Benefit #2	Stored and analyzed approximately 20 million data points spread across different countries

Benefit #1

Scaled from 3 countries to 15+ countries in 3 months time

Benefit #2

Stored and analyzed approximately 20 million data points spread across different countries

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Overview

Product Reviews and Ratings Solution with Outlier Identification for a Leading PC manufacturer

Operational Impact

Quantitative Benefit