Gregg Fraley

DECEMBER 11, 2017

AI, Analytics, IoT, Big Data, Cloud, Mobile, Social Media, Sensors, Robotics, Augmented Reality, Voice Recognition… and the list goes on. It’s difficult to keep tabs on what’s going on — and this is a big topic, but your research function probably needs enhanced. If you don’t your competition will.

Technical Review 55

Technical Review Ideation Big Data Innovation 55

Paul Hobcraft

JANUARY 14, 2016

Presently the highest rated tool is Big Data Analytics; more than half of surveyed executives say that Advanced Analytics are transforming their marketing strategy. Big Data for instance scores a 4.22 Clearly the importance of implementing tools across the organization needs top-down support and consistent use.

Tools 100

Tools Management Innovation Management Underperforming Technical Team 100

mjvinnovation

MAY 8, 2019

is also called the “fourth industrial revolution” – the process initiated by England in 1760 was followed by major modernization movements: the “lean revolution” that occurred around 1970, the intensive globalization process in the 1990s and, more recently, the extreme automation started in the 2000s. Industry 4.0

Industry 40

Industry Big Data Technical Review Internet of things 40

Integrative Innovation

JANUARY 27, 2016

This requires companies to proactively or reactively innovate their business models in order to remain competitive. The platform environment is mostly characterized by a tension between collboration and competition of the participating companies, often referred to as coopetition. Cases in point: Lego and Burberry.

Underperforming Technical Team 40

Underperforming Technical Team Big Data Innovation Technical Review 40

mjvinnovation

NOVEMBER 26, 2020

We are moving towards the end of feudal competitions. Digital Economy: small, lean, light, and innovative. Some spoilers of what should be rethought: Technology is the epicenter. It can promote the disruptions necessary for businesses to take the lead in their market and even create new markets to lead. More linear and industrial.

Design 52

Design Technical Review Data Industry 52

Rmukesh Gupta

FEBRUARY 5, 2017

Everyone wants to grow their business – irrespective of the current size or the level of competition. Big data and social media enable you to identify them. Lean into Super-Consumers. This also means that growth is not easy. They simply find more meaning and benefits in a given category than other customers do.

Engagement 40

Engagement Strategy Strategy Big Data 40

Paul Hobcraft

NOVEMBER 22, 2015

The need for ecosystems, platforms, the greater use of analytics, big data and reliance on technology. Also innovation itself is going through really a massive change. I want to participate in far more scaling, proving and validating.

Innovation 60

Innovation Collaboration Technical Review Leadership 60

Paul Hobcraft

DECEMBER 2, 2016

We will see a significant acceleration of more innovation ecosystems, we are increasingly recognizing all the different collaborative tools increasingly at our disposal, we are exploring both platforms and forming ecosystems to radically alter the competitive edge previously seen to reside inside the single company.

Technical Review 100

Technical Review Innovation Collaboration Software Review 100

Innovation Walk

MARCH 1, 2019

But this is a fine balance between control and trust, between competition and collaboration, between entrepreneurial organizations and bureaucracies. The Big Data will surely create tools to help make good decisions but ultimately, it may change in the future, till today change is driven by leaders.

Entrepreneurship 74

Entrepreneurship Innovation Collaboration Leadership 74

Board of Innovation

JUNE 5, 2022

The manufacturing industry is becoming increasingly capable of creating small batches (or even single units) of personalized products at very competitive prices. This tracker is interesting because it combines big data management with a photographic memory. At our office, Manu is one of the early backers of the Narrative Clip.

Artificial Inteligence 52

Artificial Inteligence Data Examples Trends 52

Boxes and Arrows

OCTOBER 12, 2015

Although product leaders can propose numerous ‘lean’ methodologies to experiment inexpensively with new concepts before fully engineering them, anything short of launching a product or feature and monitoring its performance over time in the market is, by definition, not 100% accurate. Insights should.

How To 105

How To Data Survey Analysis 105