IoT Data: An Untapped Goldmine of Marketing Insights w/ Jan Pingel

The Manufacturing Executive · 12 Oct 2021 · 34m · Episode 70

What this episode covers

Jan Pingel, Product Leader of Digital Solutions at Ingersoll Rand, explains how IoT data from industrial equipment can be leveraged for marketing insights beyond traditional CRM and supply chain data. He discusses the Industry 4.0 Club, a community accelerating Industry 4.0 evolution, and details how analyzing machine usage patterns allows for targeted campaigns, such as identifying industries slowing down due to external factors like weather. Pingel also addresses data privacy and security concerns, emphasizing the need to anonymize data and distinguish between process data and proprietary production recipes to maintain customer trust.

Other shows on the same ground, closest first.

  • IoT For All Podcast · 43m

    Anomaly Detection with IoT | Ira Cohen, Founder & Chief Data Scientist, Anodot | #IoTFounders E026

    Ira Cohen, co-founder and Chief Data Scientist of Anodot, explains how his company uses autonomous machine learning to detect anomalies in time-series data for Industrial IoT and business monitoring. He details the shift from static thresholds to dynamic pattern recognition, citing use cases in automotive manufacturing and large-scale printing to illustrate predictive maintenance and quality control. Cohen also discusses the challenges of implementing AI analytics at scale, including the need for organizational process changes and the importance of user-friendly interfaces for non-technical executives.

  • IoT For All Podcast · 27m

    What is time series data? | InfluxData's Brian Gilmore | Internet of Things Podcast

    Brian Gilmore, Director of IoT and Emerging Technologies at InfluxData, explains the fundamentals of time series data and its critical role in IoT analytics. He discusses how InfluxDB serves as a scalable time series database for both edge and cloud environments, enabling use cases like predictive maintenance through pattern matching with machine learning. Gilmore also addresses industry challenges, emphasizing that successful IoT adoption requires solving specific operational problems rather than starting with technology, and highlights the importance of interoperability and data ops in modern architectures.

  • IoT For All Podcast · 38m

    SAP's Elvira Wallis | Bringing Real-World Data into Industrial Processes Through IoT

    Elvira Wallis, Senior Vice President and Global Head of IoT at SAP, discusses how SAP integrates real-world industrial data into business processes using its IoT portfolio, including SAP Leonardo IoT and SAP Edge Services. She highlights use cases with partners like Pregis, Shifa, and Excitel, demonstrating how IoT enables predictive maintenance, inventory optimization, and new business models like 'power as a service.' Wallis emphasizes that successful IoT deployments require clear ROI, tight time-boxing in proof-of-concept stages, and strong ecosystem partnerships involving hardware vendors and system integrators.

  • IoT For All Podcast · 39m

    Digital Transformation in Smart Factory Settings | MachineMetrics's Dave Westrom

    Dave Westrom, VP of Business Development at MachineMetrics, discusses the company's industrial IoT platform designed to help discrete manufacturers achieve digital transformation. He explains how MachineMetrics automates data contextualization to provide real-time visibility into machine utilization, OEE, and cycle times, often revealing that actual performance is significantly lower than perceived baselines. Westrom highlights use cases ranging from 15-20% utilization improvements in high-volume plants to optimized pricing in high-mix environments, and notes the company's recent Series B funding to expand predictive maintenance capabilities using high-frequency control system data.

  • IoT For All Podcast · 39m

    The Value of Data Democratization in Manufacturing | MachineMetric's Graham Immerman

    Graham Immerman, Head of Marketing at MachineMetrics, explains how the company’s platform democratizes manufacturing data by collecting high-frequency signals from CNC machines to drive predictive maintenance and capacity optimization. He details the 'analytics journey' from descriptive to prescriptive insights, highlighting a case study where a customer canceled a $14 million equipment order after discovering only 22% machine utilization. Immerman argues that data democratization requires transforming siloed IT/OT data into actionable apps for operators, a shift accelerated by recent supply chain fragilities.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by The Manufacturing Executive. The episode itself belongs to its publisher.