Analytics and Decision Support
Can you articulate the financial impact of innovation on your business? Join the conversation and discuss topics that include: aligning innovation performance to strategy, increasing visibility to innovation data, improving cross-functional and global knowledge sharing, dealing with big data, and increasing the focus on results and organizational accountability.
Siloed data. Unstructured data. Lack of connectivity. Lost opportunity. With all the data being generated and collected, internally and on the Web, machine learning can address the challenge of connecting the dots, drawing insights, and making better decisions.
As the quantity of big data expands, retailers need to become more efficient at collecting, organizing and managing data. Here are some ways retailers can monetize data with machine learning.
Medical devices are essential to our modern society. But the companies who make them face strict regulatory, quality and safety standards. To succeed, they must constantly innovate, drive down costs and navigate complex regulatory pathways.
It is impossible to predict the future. A Strategic foresight process provides an ongoing way to fill and manage the innovation pipeline so that companies can act in uncertainty and gain outsized growth from safely taking greater risks.
A successful strategic foresight project can continue to drive value for years to come. By ensuring buy in from the organization and key stakeholders and adjusting scenarios as necessary, you can make your foresight journey is a successful one.
During Strategic Foresight, the Plan Phase is used to prioritize opportunity areas, ideate new products, services, and experiences, and provide external landmarks for ongoing portfolio management.
Strategic foresight is a discipline that provides a structured way to investigate, not predict, the future. Strategic foresight scenarios are provocative, yet plausible, alternative views of the future. But where did this idea come from?
Retail product development is changing more now than it has in the past 15 years. Leaders must transform their product development lifecycles to survive in a digital world, and PLM alone can't produce the required results. It's time for retailers to turn to a new set of transformation levers, enabled by digital tools and technologies.
In 2016 we set our sights on the future of innovation, exploring the new digital frontier. Enjoy our top pieces from 2016, and join us as we continue to deliver better results from innovation in a digital world in 2017 - and beyond.
At Viewpoints on Innovation, our content is created for innovation practitioners, by innovation practitioners. We offer practical advice and insights based on real-world experiences and leading practices across a variety of industries, themes and functions. Here are our top ten innovation Viewpoints of 2016, ranked by unique page views. Enjoy!
Working to advance Industry 4.0 in your organization? Here's how to create commitment and buy-in while addressing fundamental changes to collaboration and culture.
In this series, leaders in the retail industry share their thoughts on the challenges merchandise planners face today, and what we should be thinking about for tomorrow. Today’s perspective features Tracey Dinar, an executive with over 20 years of experience leading planning teams in the retail industry.
Stewart specializes in finding practical analytical approaches to improve organizational performance across a wide range of industries, including healthcare, consumer goods, retail, education, and legal. He understands that good data analysis is a servant of good judgment, not a substitute for it. He would never ever apply analytics to darker ends, like sports betting, as that would be illegal and immoral.
View Kalypso Profile
Don't miss future posts.
Get Viewpoints Digests delivered right to your inbox.