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Qlik > Case Studies > Nabtesco connects data to business value
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Nabtesco connects data to business value

Technology Category
  • Analytics & Modeling - Real Time Analytics
Use Cases
  • Predictive Quality Analytics
  • Supply Chain Visibility
Services
  • Data Science Services
The Challenge
Nabtesco, a Japanese manufacturer of industrial robots and hydraulic equipment, was facing intense global competition. The demand for quality, cost, delivery, and service (QCDS) had increased, and Nabtesco needed to innovate its manufacturing processes to stay competitive. The company recognized the need for data-driven decision making to improve its marketing capabilities and anticipate client demands. However, they were not fully utilizing the data they collected as a management resource. Existing databases and spreadsheets were cumbersome and often crashed when handling large amounts of data. Some companies within the group had started using Business Intelligence (BI) tools, but they hadn't fully mastered their capabilities.
About The Customer
Nabtesco Co., Ltd. is a Japanese manufacturer with a history of over 90 years. The company manufactures industrial robots and hydraulic equipment, transportation equipment for use in aviation, railways, automobiles, and ships, as well as automatic doors and packaging machines. Nabtesco is considered a world leader in motion control technology that controls precision equipment in a range of industries. However, the company was facing increased competition due to globalization and a growing demand for quality, cost, delivery, and service (QCDS). To stay competitive, Nabtesco was pursuing manufacturing innovation, focusing on strengthening production, control, and procurement capacity.
The Solution
Nabtesco decided to introduce Qlik Sense, a BI tool that they found to be the best and easiest to work with. Qlik Sense provided a one-stop solution for everything from loading data to displaying analytics. This eliminated the need to use multiple tools, reducing stress and time loss. The migration of monthly aggregations to Qlik Sense reduced aggregation time to almost zero. The platform also supported the entire data pipeline, not just the analytics part, allowing for better collaboration and elimination of information leaks. Qlik Sense enabled users to link different data sets and dig deeper, providing the data they needed to make sound decisions.
Operational Impact
  • Reduced aggregation work, with aggregated data provided quickly when needed
  • Strengthened cooperation and eliminated information leaks around data integration using the Qlik platform
  • Improved data analysis through greater visualization of data, helping to clarify fresh insights
Quantitative Benefit
  • Aggregation time reduced to almost zero

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