Infor Case Studies Global Digital Entertainment Technology Company

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	Global Digital Entertainment Technology Company Infor

Global Digital Entertainment Technology Company

Infor

Technology Category	Analytics & Modeling - Big Data Analytics Analytics & Modeling - Real Time Analytics
Applicable Industries	Telecommunications
Applicable Functions	Business Operation
Services	Data Science Services
Challenge	The Company wanted to be more data-driven. The executive team demanded more analytics and reporting. End users were tired of waiting around for IT to deliver reports. Objectives were to provide executives with a holistic view of company metrics, enable organization with self-service analytics to make data-driven decisions, and scale analytics with minimal IT resources. The technical challenges included hundreds of disparate metrics and reports spread across the organization and the need to replace Oracle OBIEE solution. Read More
About Customer	The Company provides best-in-class guide search and recommendations for digital entertainment. Their services are used by companies such as consumer electronics (CE) manufacturers, cable operators, websites, and social networks. The Company wanted to be more data-driven and was looking for a solution that could provide a holistic view of company metrics and enable self-service analytics. They were also looking to scale their analytics with minimal IT resources. Read More
Solution	The Company chose Birst's Networked BI solution for its ability to provide self-service analytics while instilling data governance. The solution's Automatic Data Refinement eliminated the need for a 3rd party ETL tool, and its low IT requirement resulted in the need for only two IT resources. The solution was able to provide a holistic view of 138 metrics across the company and enabled end users with self-service analytics. It also decreased the time to value for new deployments from months to weeks. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Analytics & Modeling - Real Time Analytics

Applicable Industries

Telecommunications

Applicable Functions

Business Operation

Services

Data Science Services

Challenge

The Company wanted to be more data-driven. The executive team demanded more analytics and reporting. End users were tired of waiting around for IT to deliver reports. Objectives were to provide executives with a holistic view of company metrics, enable organization with self-service analytics to make data-driven decisions, and scale analytics with minimal IT resources. The technical challenges included hundreds of disparate metrics and reports spread across the organization and the need to replace Oracle OBIEE solution.

About Customer

The Company provides best-in-class guide search and recommendations for digital entertainment. Their services are used by companies such as consumer electronics (CE) manufacturers, cable operators, websites, and social networks. The Company wanted to be more data-driven and was looking for a solution that could provide a holistic view of company metrics and enable self-service analytics. They were also looking to scale their analytics with minimal IT resources.

Solution

The Company chose Birst's Networked BI solution for its ability to provide self-service analytics while instilling data governance. The solution's Automatic Data Refinement eliminated the need for a 3rd party ETL tool, and its low IT requirement resulted in the need for only two IT resources. The solution was able to provide a holistic view of 138 metrics across the company and enabled end users with self-service analytics. It also decreased the time to value for new deployments from months to weeks.

Impact #1	Enterprise reporting solution provides a holistic view of 138 metrics across the company
Impact #2	Enables end users with self-service analytics
Impact #3	Decreases time to value for new deployments (departments and use cases) – from months to weeks

Impact #1

Enterprise reporting solution provides a holistic view of 138 metrics across the company

Impact #2

Enables end users with self-service analytics

Impact #3

Decreases time to value for new deployments (departments and use cases) – from months to weeks

Benefit #1	Decreased time to value for new deployments from months to weeks
Benefit #2	Only two IT resources needed

Benefit #1

Decreased time to value for new deployments from months to weeks

Benefit #2

Only two IT resources needed

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Overview

Global Digital Entertainment Technology Company

Operational Impact

Quantitative Benefit