Qlik Case Studies Global Medical Devices Manufacturer Drives Efficiency with Qlik & Cloudera

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	Global Medical Devices Manufacturer Drives Efficiency with Qlik & Cloudera Qlik

Global Medical Devices Manufacturer Drives Efficiency with Qlik & Cloudera

Qlik

Technology Category	Analytics & Modeling - Real Time Analytics Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	Consumer Goods Healthcare & Hospitals
Applicable Functions	Discrete Manufacturing Quality Assurance
Use Cases	Manufacturing System Automation Predictive Maintenance
Services	Data Science Services
Challenge	The global medical devices, pharmaceutical and consumer packaged goods manufacturing company was previously collecting data off-hours and storing it in highly structured data warehouses. The reporting was generally at aggregate levels and done in silos. The structured reports were designed to show what happened by plant, by product, over time. This approach was not efficient and did not provide real-time insights into the manufacturing process. Read More
About Customer	The customer is a leading global medical devices, pharmaceutical and consumer packaged goods manufacturing company. They are involved in the production of a wide range of products and have a significant presence in the global market. The company is known for its commitment to innovation and quality, and it continually seeks ways to improve its operations and drive efficiency. The company has a vast manufacturing network and deals with a large amount of data from various sources, including machine sensors. The company's goal is to leverage this data to drive efficiency gains and cost savings. Read More
Solution	The company implemented Qlik and Cloudera to drive efficiency in their operations. They started collecting all data relevant to the use cases from a variety of on-premise and off-premise sources. Critical data is stored in the data lake, while non-critical data is moved directly to Qlik. The quality output is tracked in real-time as products move through the manufacturing process. The data is consumed through self-service exploration and displayed on monitors throughout the factory with standardized reports where needed. This approach allows the company to have real-time insights into their manufacturing process and make informed decisions. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

Consumer Goods

Healthcare & Hospitals

Applicable Functions

Discrete Manufacturing

Quality Assurance

Use Cases

Manufacturing System Automation

Predictive Maintenance

Services

Data Science Services

Challenge

The global medical devices, pharmaceutical and consumer packaged goods manufacturing company was previously collecting data off-hours and storing it in highly structured data warehouses. The reporting was generally at aggregate levels and done in silos. The structured reports were designed to show what happened by plant, by product, over time. This approach was not efficient and did not provide real-time insights into the manufacturing process.

About Customer

The customer is a leading global medical devices, pharmaceutical and consumer packaged goods manufacturing company. They are involved in the production of a wide range of products and have a significant presence in the global market. The company is known for its commitment to innovation and quality, and it continually seeks ways to improve its operations and drive efficiency. The company has a vast manufacturing network and deals with a large amount of data from various sources, including machine sensors. The company's goal is to leverage this data to drive efficiency gains and cost savings.

Solution

The company implemented Qlik and Cloudera to drive efficiency in their operations. They started collecting all data relevant to the use cases from a variety of on-premise and off-premise sources. Critical data is stored in the data lake, while non-critical data is moved directly to Qlik. The quality output is tracked in real-time as products move through the manufacturing process. The data is consumed through self-service exploration and displayed on monitors throughout the factory with standardized reports where needed. This approach allows the company to have real-time insights into their manufacturing process and make informed decisions.

Impact #1	The company was able to track quality output in real-time as products move through the manufacturing process.
Impact #2	The data is now consumed through self-service exploration and displayed on monitors throughout the factory with standardized reports where needed.
Impact #3	The company was able to correlate data coming from machine sensors and various other sources to drive efficiency gains.

Impact #1

The company was able to track quality output in real-time as products move through the manufacturing process.

Impact #2

The data is now consumed through self-service exploration and displayed on monitors throughout the factory with standardized reports where needed.

Impact #3

The company was able to correlate data coming from machine sensors and various other sources to drive efficiency gains.

Benefit #1	Efficiency gains of between 5% - 12%
Benefit #2	Saving of between $35 and $40 million per year

Benefit #1

Efficiency gains of between 5% - 12%

Benefit #2

Saving of between $35 and $40 million per year

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Overview

Global Medical Devices Manufacturer Drives Efficiency with Qlik & Cloudera

Operational Impact

Quantitative Benefit