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Manufacturing is an industry with many moving parts: human resources, raw materials, capital investments, production equipment, logistics—not to mention ever-changing customer demands. Data gets created at every turn, but it often stays in silos, limited in its utility. This holds true for all manufacturers—whether aerospace and defense, automotive, industrial machinery, or mill products. With Tableau, you can quickly blend and link similar data to gain decisive results in seconds—compared to hours or days with programming-intensive methods. Use what you learn from your manufacturing analytics to improve process efficiency, centralize production monitoring, better serve your customers, and turn real-time data into just-in-time insights.
By leveraging Tableau’s leading analytics platform, GE Aviation is making it easier for airlines to access, understand and take action on this data. Airlines can now explore customer reports created in Tableau through Predix, GE’s cloud-based software platform for industrial applications. Airlines can perform further analysis of sensor data from the flight (from engines, airframes, flaps, landing gear etc.) as well as the health of the aircraft itself (ground operations, maintenance, crewing etc.) with Tableau’s powerful, easy-to-use platform.Learn more
Honeywell’s Global Finance Center is the global analytics hub for the entire $40 billion company. Since March of 2016, Honeywell scaled to 9,000 Tableau users companywide. With Tableau and Alteryx, the team analyzes data in hours instead of months—helping the business make crucial decisions. See how Tableau is transforming marketing analytics.
Like it or not, manufacturing is moving faster and leaner as the dated, status-quo business systems fall to the wayside. More than ever, the manufacturing industry must corral and understand massive amounts of data from many systems to drive operational efficiencies, higher levels of service, and support. Having the ability to explore the impact and interplay across production efficiency, product quality, customer demand, and service excellence simply isn't possible without big data and meaningful analytics.Read the whitepaper
Tableau is really helping us grow and get value right now. For production, it's helping hour by hour, minute to minute—‘Am I hitting my numbers for this hour? And if I'm not—why not?'
Business analytics continues to be a top priority and one of the fastest-moving areas in the manufacturing industry. But even with all the tools available, it’s still difficult to transition to becoming a data-driven organization. In this paper, industry expert Dan Murray shares his first-hand experiences, major challenges and new ways for manufacturers to use data to manage crises and improve their operations.Read Whitepaper
Learn about Boeing’s Tableau journey and their keys to enabling Business Intelligence and Analytics across the enterprise. Boeing will also discuss the balance between Business and IT in the development of analytics and how both have a role in leveraging data to deliver results to the company.Watch Now
I can tell you that easily it runs into 10,000-20,000 man hours in terms of productivity generated because of the automation and standardization you get out of Tableau. But more than that, to me it’s the business value—and you cannot really put a price on it.
Applying big data to an internal business use case is challenging and requires expertise and focus. Even harder is scaling it out across a global enterprise. GE Power Services will share how they have been able to deliver results in an uncertain world by leveraging big data and scaling the Tableau platform across a global employee base that spans over 86 countries and 22,000 users.Watch Now
Nissan shares the approach and early successes that Nissan's IS & business teams have experienced while adopting a more collaborative model for data management & analytics. By focusing on business outcomes, proper alignment of the business & IS, and effective use of enterprise solutions from Informatica & Tableau, the company has unified around data as a high-value asset.Watch Now