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Feeling the Pain in Supply Chain and Manufacturing? A Logical Data Fabric May be the Answer

Denodo
Denodo

Watch full webinar here: https://bit.ly/3NfW25c In today’s turbulent economies, manufacturers and their supply chain partners know to improve time-to-value they need to accelerate the pace of operations and make better, informed decisions faster. That’s a challenge when petabytes of collected data may be trapped in disparate, siloed systems─ in the cloud, in a data center, or on an edge device. In this panel, subject matter experts will discuss how manufacturing and supply chain leaders can optimize time to data. And create the data-driven intelligence needed for faster time to decisions and deliver more customer value faster and at a lower cost.

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Transforming Data Management
for the Cloud
Feeling the Pain in Supply Chain and
Manufacturing? A Logical Data Fabric May
be the Answer.
Joanne Friedman, Ph.D.
CEO / Principal, Smart Manufacturing
Connektedminds, Inc.
Feeling the Pain in Supply Chain and Manufacturing? A Logical Data Fabric May be the Answer
Many companies fall into the trap of a
technology-first mindset, believing that
technology alone can solve all their
problems and drive business success.
Technology can only enable.
When organizations prioritize technology over business strategy and user
needs, they risk overlooking critical considerations such as organizational
readiness, cultural resistance, and lack of training and support.
Without considering the needs of
the workforce attrition rises 23%
at a time of severe labor
shortages. - McKinsey
• 71% of digital transformation fails.
• 35% stall or are abandoned before
implementation

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Feeling the Pain in Supply Chain and Manufacturing? A Logical Data Fabric May be the Answer

  • 2. Feeling the Pain in Supply Chain and Manufacturing? A Logical Data Fabric May be the Answer. Joanne Friedman, Ph.D. CEO / Principal, Smart Manufacturing Connektedminds, Inc.
  • 4. Many companies fall into the trap of a technology-first mindset, believing that technology alone can solve all their problems and drive business success. Technology can only enable.
  • 5. When organizations prioritize technology over business strategy and user needs, they risk overlooking critical considerations such as organizational readiness, cultural resistance, and lack of training and support. Without considering the needs of the workforce attrition rises 23% at a time of severe labor shortages. - McKinsey
  • 6. • 71% of digital transformation fails. • 35% stall or are abandoned before implementation
  • 7. Think Big. Move Fast. Phase-In. An ambitious transformation plan goes well beyond cost cutting and driving operational efficiency; it sets a higher performance trajectory for the company, while building agility, adaptability and resiliency. Prioritize: • Strategy over Technology • Context over Content • Human Centered Design VS Technology First
  • 9. Smart Manufacturing [subset] • Aims to improve productivity, reduce downtime, and increase efficiency in the manufacturing process • Refers to the use of advanced technologies, such as AI, IoT, Robotics, and Cloud Computing, to optimize production processes and increase efficiency • Emphasizes the use of data analytics and machine learning algorithms to optimize production processes • Characterized by the use of machines, devices, and systems that work together to optimize production processes • Focuses on the optimization of production processes through the use of advanced technologies • Industry 4.0 • Aims to create a more efficient, flexible, and responsive manufacturing ecosystem • Refers to transforming the manufacturing sector through the integration of advanced technologies • Emphasizes the integration of physical and digital technologies to create a seamless manufacturing environment • Characterized by increased automation, digitization, and interconnectivity of machines and systems • Focuses on the interconnectivity of machines and systems to create a smart factory environment CONTEXT OVER CONTENT
  • 10. What information do we need to get the insights we want? What insights do we need to make more informed decisions, faster? So how can we get to the data to create the information to give us the insight to make better decisions faster? Lets discuss it with our panel HUMAN CENTERED DESIGN vs TECHNOLOGY FIRST What data do we collect to get the information we need?
  • 12. Feeling the Pain in Supply Chain and Manufacturing? A Logical Data Fabric May be the Answer. CEO | Principal, Smart Manufacturing Connektedminds, Inc. Joanne Friedman, Ph.D. Enterprise Data Account Executive Denodo Dave Nixon Managing Partner W5 Darrin Joncas Senior Manager ASML Dr. Sathyan Munirathinam Executive Manager, Data Analytics Hastings Deering Dimuth Samaranayaka