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Data: An untapped resource for industrial companies

Data: An untapped resource for industrial companies

Data: An untapped resource for industrial companies

It seems all companies, even within traditional industries, are placing a focus on digital transformation initiatives. This trend is driven by the pursuit of new business models and revenue streams. The sense of urgency is continuing to grow during the COVID pandemic because of the upside potential—with the right strategy, industrial companies can extract a lot of value from their existing data. 

According to an IDG Research survey, 59% of IT decision makers say pressures are pushing them to step up their digital transformation efforts. Yet only 32% of companies are realizing measurable value from their data and only 27% have data projects producing highly actionable insights according to a recent survey by Accenture. The same study found that one of the biggest blockers for those companies is the lack of an enterprise-wide strategy for data.

Taking action to realize the value of data in traditional industries

When you are tracking multiple moving parts in your complex operation—people, assets, railcars, ports, vessels—you are already sitting on a wealth of information. Are you missing opportunities to get even greater value with all the legacy data you have? What are you going to do with the new data (once you have it) to create value across your organization and create new digital revenue streams?

Traditional industries such as rail, mining and oil and gas face similar challenges—increasingly regulated markets, intense competition, aging infrastructure, knowledge transfer of the workforce, and uncertain economic outlooks. Tapping into new data opens up incredible opportunities for these industries to take decisive and strategic actions—create a digital twin of their operations, make predictions to avoid delays, fees and accidents, empower their connected workforce, and optimize their entire supply chain.

Join Corrie Banks, Director of Supply Chain at Cando Rail and Geoff Mair, CEO at SensorUp to hear how traditional industries can take a strategic approach to their data for more rapid ROI.

What you can learn from this webinar:

  • How real-time, visual data can impact operational and strategic decisions
  • How traditional businesses can create new digital revenue streams
  • How you can deploy a 6-week POC to demonstrate rapid ROI with lower risk

Who should attend:

Senior operational leaders or business leads in traditional industries such as rail, shortline railroads, ports, mining and oil and gas, forestry, pulp and paper, and government.

Geoff Mair

CEO, SensorUp

Geoff Mair is an accomplished Software Industry Executive with a 20-year proven track record for leading innovative, strategic and successful product initiatives at both startups and large-scale software companies. Geoff was formerly CTO and Founder of Partnerpedia Software Inc. where he defined the product strategy and led engineering to a successful acquisition by BMC Software in 2013. Geoff has been recognized numerous times for his work in the industry including being selected for Business in Vancouver’s 40 Under 40 Awards. He has a Masters degree from Northwestern University and a BA from the University of British Columbia. He holds several patents for his previous technology design work in the areas of software driven marketplaces, app stores and field service management software.

Corrie Banks

Director of Logistics, Cando Rail

Corrie Banks is a logistics expert with 25 years of experience managing, innovating, and driving change in supply chains. In 2019, SCMA recognized Corrie’s contributions to the Canadian Supply Chain Sector by including Corrie in the “Top 100 Influential Women In Supply Chain.”  Corrie has worked for Canadian Pacific Railway, Canadian Pacific Logistics Solutions, Parmalat Canada and Triskele Logistics. In her role at Cando, Corrie is leading the Quasar Platform, a cloud based internet of things supply chain optimization software. The Quasar team merges supply chain optimization strategies with leading edge technologies to create a real-time system that captures operational, financial data and analyzes it real-time and historically.