Sisense Case Studies Using Big Data Analytics to Produce Value in the Retail Industry

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	Using Big Data Analytics to Produce Value in the Retail Industry Sisense

Using Big Data Analytics to Produce Value in the Retail Industry

Sisense

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Predictive Analytics Application Infrastructure & Middleware - Data Visualization
Applicable Industries	Construction & Infrastructure Retail
Applicable Functions	Business Operation Sales & Marketing
Services	Data Science Services System Integration
Challenge	EREA’s clients, primarily in the retail sector, were overwhelmed by the large amounts of data generated in their ERP systems. These datasets often contained billions of rows, making it difficult to analyze and derive actionable insights. The time and resources required to process this data were substantial, and clients were struggling to make sense of it all. EREA needed a powerful BI tool that could handle massive volumes of disparate data and scale across the entire Latin American region. They also required a solution that could be easily customized by non-technical consultants to meet specific client requirements. Read More
About Customer	EREA is a management consulting firm operating across Latin America, specializing in designing and implementing transformation strategies. They focus on identifying and accelerating growth opportunities in various areas, including sales, supplier negotiations, store operations, and category management. The firm works with many $100m+ companies, helping them manage and make sense of their massive amounts of data. EREA has a team of over 40 consultants and data analysts who leverage their expertise to enhance clients' sustainable growth through strategic consulting projects. The firm aims to maximize reach and effectiveness using data and technology. Read More
Solution	EREA chose Sisense as their BI tool due to its ability to handle complex data sets, rich embedded analytics, and seamless integration with R. Sisense's flexibility allowed EREA to incorporate their IP and combine external data sources like weather and macroeconomic data. The tool's beautiful UI and responsiveness, along with excellent support from Sisense, made it the ideal choice. EREA integrated R analytics with Sisense to create dashboards that show clients' potential savings and 'what if' scenarios. These dashboards help clients identify areas where money is being misallocated and pinpoint what is positively impacting profitability. The solution enabled EREA to handle data more efficiently, reducing report development time and allowing them to manage data for dozens of clients simultaneously. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Predictive Analytics

Application Infrastructure & Middleware - Data Visualization

Applicable Industries

Construction & Infrastructure

Retail

Applicable Functions

Business Operation

Sales & Marketing

Services

Data Science Services

System Integration

Challenge

EREA’s clients, primarily in the retail sector, were overwhelmed by the large amounts of data generated in their ERP systems. These datasets often contained billions of rows, making it difficult to analyze and derive actionable insights. The time and resources required to process this data were substantial, and clients were struggling to make sense of it all. EREA needed a powerful BI tool that could handle massive volumes of disparate data and scale across the entire Latin American region. They also required a solution that could be easily customized by non-technical consultants to meet specific client requirements.

About Customer

EREA is a management consulting firm operating across Latin America, specializing in designing and implementing transformation strategies. They focus on identifying and accelerating growth opportunities in various areas, including sales, supplier negotiations, store operations, and category management. The firm works with many $100m+ companies, helping them manage and make sense of their massive amounts of data. EREA has a team of over 40 consultants and data analysts who leverage their expertise to enhance clients' sustainable growth through strategic consulting projects. The firm aims to maximize reach and effectiveness using data and technology.

Solution

EREA chose Sisense as their BI tool due to its ability to handle complex data sets, rich embedded analytics, and seamless integration with R. Sisense's flexibility allowed EREA to incorporate their IP and combine external data sources like weather and macroeconomic data. The tool's beautiful UI and responsiveness, along with excellent support from Sisense, made it the ideal choice. EREA integrated R analytics with Sisense to create dashboards that show clients' potential savings and 'what if' scenarios. These dashboards help clients identify areas where money is being misallocated and pinpoint what is positively impacting profitability. The solution enabled EREA to handle data more efficiently, reducing report development time and allowing them to manage data for dozens of clients simultaneously.

Impact #1	Report development time dropped by 10x, saving thousands of hours every quarter.
Impact #2	Correlations in data that were not apparent before are now being identified, saving money for clients.
Impact #3	EREA went from handling data for 5 large clients to managing data for dozens of clients simultaneously.

Impact #1

Report development time dropped by 10x, saving thousands of hours every quarter.

Impact #2

Correlations in data that were not apparent before are now being identified, saving money for clients.

Impact #3

EREA went from handling data for 5 large clients to managing data for dozens of clients simultaneously.

Benefit #1	Data discovery process reduced from three months to three weeks on average.
Benefit #2	Company growth increased from 30% a year to 100% growth within a few months.

Benefit #1

Data discovery process reduced from three months to three weeks on average.

Benefit #2

Company growth increased from 30% a year to 100% growth within a few months.

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Overview

Using Big Data Analytics to Produce Value in the Retail Industry

Operational Impact

Quantitative Benefit