Hitachi Omika Works adopts Qlik for data analytics

Electrical equipment manufacturer Hitachi has adopted Qlik analytics, for stronger data analytics capabilities across its operations. 

Hitachi Omika Works elevates manufacturing excellence with Qlik analytics

Japan’s Hitachi Omika Works is the first factory in the country to be named a Lighthouse - an initiative organised by the World Economic Forum (WEF) for designating advanced factories across the world which are leading the Fourth Industrial Revolution.

Qlik works across data integration, data quality and analytics solutions, based in King of Prussia, USA. Its cloud platform unifies data across cloud and hybrid environments, automates information pipelines and data-driven workflows, and augments insights with AI. 

Since using Qlik, departments across Hitachi Omika Works have:

• Reduced man-hours required to confirm delivery dates with suppliers by up to 33%
• Improved overall efficiency by simply working from a single source
• Quickened and streamlined operations 
• Widened the scope of data utilisation

AI-enhanced analytics can revolutionise supply chain decision-making

James Fisher, Chief Strategy Officer at Qlik knows that businesses seek pragmatic ways to leverage technology to make better, faster decisions, particularly in the supply chain. 

“Many organisations are looking to AI to get ahead of the competition, but adoption remains difficult with the technology still being so new,” he says. “Rising competition, customer expectations, and increasingly complex supply chains demand a data-driven strategy with fast access to accurate data.”

“To do this, a modern supply chain must rely on AI-enhanced analytics built on a trusted data foundation. In our partnership with the Hitachi Omika Works team, we are supporting them with exactly that.

“Hitachi is working with Qlik to meet their complex data analytics requirements, supporting risk analysis and data visualisation of information across the entire supply chain. The Hitachi team can now analyse and draw insights from data, enabling better risk analysis while eliminating ambiguity for faster organisational decision-making.”

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