Tullio Siragusa

OCTOBER 24, 2022

Data Innovation in Manufacturing Requires Integration. Technology that helps in connecting with suppliers for materials and managing product data with a digital platform makes the process faster, and more efficient. Another thing that became important is data. From collecting and managing data to creating intelligence from data.

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Innovation Data Collaboration System 118

Leapfrogging

FEBRUARY 28, 2022

Because of unprecedented uncertainty, there’s a strong desire to use data to deliver better decision-making. Yet many teams and organizations get paralyzed by overwhelming data. While data exists, many teams lack insight. They think that if they wait for more data, they’ll get the answer. Makes sense. So, they get stuck.

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Data Industry Innovation Examples 130

Planview

SEPTEMBER 12, 2023

We then contrasted that with survey data on what those organizations’ business leaders thought the teams’ capacity was. Yet our study clearly shows that, despite these shortcomings, the data is there for the organization to make the right decisions.

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Data Roadmap Agile Innovation 72

Harvard Business Review

JULY 24, 2023

To sustain DEI progress in this time, companies should focus on curtailing the usage of racial data that is the most legally risky, while taking decisive action to continue using racial data to eliminate discrimination, remove bias, and create fairer workplaces.

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Data How To Design Company 89

Tullio Siragusa

JULY 25, 2022

Unlocking Innovation with Data, Creativity, and Automation. For some, it may be through hard work and determination, while others may find success through innovation with creativity, data, and automation. In this podcast recap blog post, we will discuss how innovation derived from creativity, data, and automation can lead to success.

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Creativity Innovation Data Technical Review 118

Tullio Siragusa

AUGUST 1, 2022

The Hyper-personalization Data and Privacy Debate?-?Solved. Data is what we share with the websites we visit. In this podcast recap blog post, we will discuss how websites store data, what goes on with the data that we share, and how we can have an option to control our data to have personalized experiences.

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Data Technical Review Design Thinking Marketing 118

Acuvate

SEPTEMBER 4, 2023

In the rapidly evolving world of finance and insurance, brimming with risks and complexities, an amalgamation of data and analytics has created a transformative approach to risk management. In a nutshell, predictive analytics harnesses historical data to forecast future events. This helps insurers evaluate risks with utmost accuracy.

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Data Management Analysis Policies 52

InnovationTraining.org

SEPTEMBER 23, 2022

Learn the basics of data storytelling and find training resources, articles, videos, and more. Data is all around us – from our schools, to our workplaces, and internet habits. Data storytelling recognizes that data on its own is often not enough to move people to action. What is data storytelling?

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Training Data Underperforming Technical Team Video 70

Harvard Business Review

DECEMBER 14, 2022

Companies are awash in people analytics — but that data rarely translates into trustworthy markers of performance.

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Data Management Company Culture 122

Harvard Business Review

MAY 24, 2023

Five criteria to determine when — and to what degree — to democratize data.

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Data Learning Technology Management 111

Harvard Business Review

OCTOBER 13, 2022

Legacy companies often struggle to leverage data effectively. These roles can help.

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Data Company Management Technology 135

Jeffrey Phillips

MAY 20, 2022

Increasingly, however, we need to invite data into this mix. As more and more data is generated, it creates new opportunities in the strategy realm and in the innovation realm. This post will consider the importance of data in strategy development and execution, as well as in innovation.

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Data Strategy Strategy Innovation 144

InnovationManagement

OCTOBER 19, 2021

Data can be a powerful enabler for innovation, but when used incorrectly, it can be a paralyzing force. Whether you collect data based on historical perspectives or through experiments, it can bring the insights needed for truly great innovations. The post Is Data Hindering Your Innovation Efforts?

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Innovation Data 90

Harvard Business Review

JULY 11, 2023

Thanks to the increasing availability of AI, including machine learning algorithms, deliberately creating customer data feedback loops is now possible for most products and services. For some products, it is easy; for others, one needs to find more creative ways to engineer the data feedback loops.

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Data Creativity Learning How To 68

IdeaScale

JANUARY 7, 2021

Data is the most valuable tool that any business has access to today. Data can show you where you sit in your … Continued. The post How to Draw Innovation Inspiration From Customer Data appeared first on IdeaScale. The post How to Draw Innovation Inspiration From Customer Data appeared first on IdeaScale.

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InnovationManagement

DECEMBER 13, 2021

Finance is no stranger to using data in predictive analysis, forecasting, and more, but what can real-time data bring to the table? The post 3 Ways Real-Time Financial Data Drives Business Intelligence appeared first on InnovationManagement.

Data 119

Data Analysis Competition Strategy 119

Brunner

JULY 12, 2023

Only a few short years ago, the general public learned companies were collecting and selling data with every click consumers made. In 2018, Facebook CEO Mark Zuckerberg was called to address Congress about a data-sharing scandal with Cambridge Analytica, a company that bought data from Facebook to target political advertising.

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Data Creative Thinking Creativity Marketing 68

Acuvate

MAY 13, 2020

Data Storytelling: What It Is And Why Data Leaders Should Adopt It Traditionally data scientists have used visually-appealing dashboards and visualizations to communicate their findings to business executives. The post Data Storytelling: What It Is And Why Data Leaders Should Adopt It appeared first on Acuvate.

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Data Analysis 114

Wazoku

FEBRUARY 23, 2023

In this blog, we look at a Challenge that aims to find more effective ways for local governments to use public data to inform decision-making. To register for this Challenge, click here !

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Data Innovation 98

Acuvate

JULY 6, 2020

8 Major Challenges faced by Data Scientists Organizations across the globe are looking to organize, process and unlock the value of the torrential amounts of data they generate and transform them into actionable and high value business insights. The post 8 Major Challenges Faced By Data Scientists appeared first on Acuvate.

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Data Big Data Analysis Management 134

Christensen Institute

OCTOBER 20, 2022

The Opportunity Insights team garnered praise for the sheer size of the data set they built to reach their findings: Their Social Capital Atlas consists of a staggering 21 billion data points on connection, mined from de-identified Facebook data from 72 million users. But they risk a static approach to relationship data.

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Data Tools Survey Resources 98

Jeffrey Phillips

MAY 31, 2019

In my last post I tried to illustrate the importance (and the challenges) of data to digital transformation. This is often a complex and difficult idea for people to understand - why is "data" so hard? We humans have this insight and understand the less overt concepts around meta-data because we have learned experience.

Innovation 129

Innovation Data Big Data Examples 129

Jeffrey Phillips

OCTOBER 21, 2019

Data Driven No phrase worries me more than what I hear repeated regularly as a mantra by our customers and prospects. Everyone wants to be "data driven", which on the surface is an excellent idea. If by "data driven" they mean making decisions based on data rather than conjecture or opinion, that's good.

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Data Strategic Thinking System Company 117

Jeffrey Phillips

MARCH 20, 2020

Now, we must fully engage the asset that we have the most of, that is producing the least for us: data. It's time to put our data to work. Does it strike you as odd that cybersecurity experts speak of needing to protect "data at rest"? Does data ever "work"? But the real question is: what is all that data doing for us?

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Data Tools Learning Resources 129

Yet2

JANUARY 9, 2023

Using Big Data in our own scouting activities has been an investment we’ve been making over the few years. To help make this intangible concept feel a little more real, below we share just 3 examples of how we at yet2 leverage Big Data in our scouting: Starting with unique, quality datasets: avoid “garbage in, garbage out.”

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Big Data Open Innovation Innovation Data 52

Acuvate

DECEMBER 7, 2022

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. How are sustainable technological solutions enabling Smart Water Management (SWM)?

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Data Management Technical Review Big Data 78

Acuvate

NOVEMBER 23, 2020

9 Biggest Big Data Mistakes Every Company Should Avoid The success from Big Data and data analytics initiatives for a lot of traditional companies has been restricted to only small parts of their business. A huge impact through big data projects is something that not many have been able to achieve.

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Board of Innovation

DECEMBER 16, 2021

The post Business and concept validation through qualitative and quantitative data appeared first on Board of Innovation. Validation techniques are usually divided into two main categories, relating to the type of information being collected - either qualitative or quantitative. Here's how you can use them.

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Data Innovation Learning Design 145

Harvard Business Review

APRIL 20, 2023

As employers collect more data about their workers than ever before, employees deserve to know how it’s being used.

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Data Resources Management Technology 89

IdeaScale

JUNE 12, 2019

Big data has been a foundation of innovation ever since the first suggestion box was put out. Since then, the data set has only kept growing, until now you can filter thousands or even millions of data points. How do you effectively use big data to drive innovation? Collect Only Relevant Data. Avoid Fishing.

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