Case Studies Internal Analytics Data Lake for a Fortune 500 Global Manufacturer

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	Internal Analytics Data Lake for a Fortune 500 Global Manufacturer

Internal Analytics Data Lake for a Fortune 500 Global Manufacturer

Technology Category	Analytics & Modeling - Data Mining Analytics & Modeling - Predictive Analytics Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions	Business Operation Sales & Marketing
Use Cases	Inventory Management
Services	Data Science Services System Integration
Challenge	The manufacturer only had access to high-level, manually-generated summarizations of product sales information, with little or no ability to drill deep into the sales numbers to understand which products, product families or geographic regions were performing as expected or not. Specific challenges included an 8-week manual process for product profitability analysis, no capability for high-margin product and inventory analysis, and a tedious 10-step process for approving extended payment terms. Read More
About Customer	Antuit is a global analytics solutions provider primarily serving the retail & eCommerce, consumer products, and manufacturing & logistics industries. Since 2013, Antuit has been on a mission to help leading multi-national and high-growth companies predict, shape, and meet demand. Combining deep domain expertise with proprietary solutions and technologies like machine learning and AI, Antuit delivers revenue and margin growth, improved supply chain efficiency, and enhanced customer experiences. Read More
Solution	The new data lake ingests granular data to produce reporting and analytics that provide the manufacturer unprecedented visibility into their own internal sales and manufacturing data. For product profitability, the client can now report numbers for margin, revenue, and cost details with various product lines sold by multiple channels, reducing the process from 8 weeks to roughly 2 days. For high-margin product and inventory analysis, the client defined global cost and average selling prices across product lines and related materials, blending data with inventory and order backlog data-sets to increase quarterly margins. For extended terms requests, Antuit provided advanced analytics to enrich manual data entry into the sales application with NLP, harmonizing data sets from the sales rep application, ERP, and CRM systems, reducing the steps from 10 to only 3: ingest, harmonize, and publish. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Data Mining

Analytics & Modeling - Predictive Analytics

Platform as a Service (PaaS) - Data Management Platforms

Applicable Functions

Business Operation

Sales & Marketing

Use Cases

Inventory Management

Services

Data Science Services

System Integration

Challenge

The manufacturer only had access to high-level, manually-generated summarizations of product sales information, with little or no ability to drill deep into the sales numbers to understand which products, product families or geographic regions were performing as expected or not. Specific challenges included an 8-week manual process for product profitability analysis, no capability for high-margin product and inventory analysis, and a tedious 10-step process for approving extended payment terms.

About Customer

Antuit is a global analytics solutions provider primarily serving the retail & eCommerce, consumer products, and manufacturing & logistics industries. Since 2013, Antuit has been on a mission to help leading multi-national and high-growth companies predict, shape, and meet demand. Combining deep domain expertise with proprietary solutions and technologies like machine learning and AI, Antuit delivers revenue and margin growth, improved supply chain efficiency, and enhanced customer experiences.

Solution

The new data lake ingests granular data to produce reporting and analytics that provide the manufacturer unprecedented visibility into their own internal sales and manufacturing data. For product profitability, the client can now report numbers for margin, revenue, and cost details with various product lines sold by multiple channels, reducing the process from 8 weeks to roughly 2 days. For high-margin product and inventory analysis, the client defined global cost and average selling prices across product lines and related materials, blending data with inventory and order backlog data-sets to increase quarterly margins. For extended terms requests, Antuit provided advanced analytics to enrich manual data entry into the sales application with NLP, harmonizing data sets from the sales rep application, ERP, and CRM systems, reducing the steps from 10 to only 3: ingest, harmonize, and publish.

Impact #1	The manufacturer now enjoys a scalable Hadoop framework data platform designed to evaluate future business decisions objectively through advanced analytics and reporting.
Impact #2	The data lake provides a powerful and flexible foundation where all data can be ingested and stored in its original format, allowing for data lineage and rapid iteration as the client’s data and business requirements mature over time.
Impact #3	The product profitability and high-margin product inventory analysis use cases for the data lake are projected to save the manufacturer significant costs.

Impact #1

The manufacturer now enjoys a scalable Hadoop framework data platform designed to evaluate future business decisions objectively through advanced analytics and reporting.

Impact #2

The data lake provides a powerful and flexible foundation where all data can be ingested and stored in its original format, allowing for data lineage and rapid iteration as the client’s data and business requirements mature over time.

Impact #3

The product profitability and high-margin product inventory analysis use cases for the data lake are projected to save the manufacturer significant costs.

Benefit #1	The product profitability and high-margin product inventory analysis use cases are projected to save the manufacturer between $7 million and $12 million USD in the first year.
Benefit #2	The extended payment terms use case is projected to increase gross revenue by roughly $500 million.

Benefit #1

The product profitability and high-margin product inventory analysis use cases are projected to save the manufacturer between $7 million and $12 million USD in the first year.

Benefit #2

The extended payment terms use case is projected to increase gross revenue by roughly $500 million.

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Overview

Internal Analytics Data Lake for a Fortune 500 Global Manufacturer

Operational Impact

Quantitative Benefit