Harvard Business Review

NOVEMBER 2, 2023

Cloud tools and technologies are influencing the future of data science work in two key areas: scaling resources and improving workforce agility. If organizations want to make use of these capabilities, though, they also need to develop strong data security and privacy frameworks when operating in a cloud environment.

Data 105

Data Change Agile Resources 105

IdeaScale

APRIL 18, 2024

A decision tree is defined as a hierarchical tree-like structure used in data analysis and decision-making to model decisions and their potential consequences. What is a Decision Tree? It is a graphical representation of a decision-making process that maps out possible outcomes based on various choices or scenarios.

Analysis 100

Analysis Examples Data 100

IdeaScale

NOVEMBER 30, 2023

Trend analysis is defined as a statistical and analytical technique used to evaluate and identify patterns, trends, or changes in data over time. It involves the examination of historical data to uncover insights into the direction or tendencies of a particular phenomenon. Table of Contents What is Trend Analysis? Trend analysis [.]

Analysis 130

Analysis Trends Examples Data 130

IdeaScale

MAY 17, 2023

Quantitative research is defined a research method that focuses on collecting and analyzing quantifiable data to draw conclusions and make predictions. The goal [.]

Examples 130

Examples Survey Data 130

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.

Data 130

Data Industry Examples Report 130

IdeaScale

MAY 17, 2023

Qualitative observation is defined as a research approach that seeks to understand social, cultural, and psychological phenomena through non-numerical data.

Examples 130

Examples Data Culture 130

IdeaScale

MAY 17, 2023

Quantitative market research is defined as a type of research that involves the collection and analysis of numerical data to understand market trends, consumer behavior, and other business-related variables.

Marketing 130

Marketing Examples Survey Analysis 130

IdeaScale

MAY 17, 2023

Focus group research is defined as a qualitative research method used to gather data from a small, diverse group of people in a facilitated group discussion. What is focus group research?

Groups 130

Groups Examples Data Marketing 130

IdeaScale

JUNE 21, 2023

Market research is defined as the systematic collection, analysis, and interpretation of data about a specific market, industry, or consumer segment. What is Market Research? It involves studying customers, competitors, and market dynamics to identify opportunities, mitigate risks, and make informed business decisions.

Marketing 130

Marketing Examples Analysis Study 130

IdeaScale

JUNE 21, 2023

Unlike quantitative research, which focuses on numerical measurements and statistical analysis, qualitative research employs a range of data collection methods to gather [.]

Examples 130

Examples Analysis Data 130

IdeaScale

JUNE 21, 2023

It involves the collection and analysis of non-numerical data from research respondents to uncover rich insights that quantitative market research methods may not capture. [.]

Marketing 130

Marketing Examples Analysis Data 130

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?

Training 70

Training Data Underperforming Technical Team Video 70

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.

Big Data 157

Big Data Data Strategy Strategy 157

Yet2

FEBRUARY 7, 2024

yet2 employed their proprietary Big Data approach to quickly ingest and analyze thousands of data points across their database of 5,000+ CMOs, reducing the analysis time from months to days. Another category of data segmenting was Class I and Class II products by regulatory certification, which was already captured in the CMO database.

Big Data 59

Big Data Data Technical Review Marketing 59

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? For example, my father called me over the weekend to ask why his doctors can't get his electronic medical records correct.

Data 129

Data Artificial Inteligence Innovation Big Data 129

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.

Data 118

Data Creativity Technical Review Innovation 118

Planview

DECEMBER 12, 2023

Historically, companies had two approaches to deriving value from data. Some companies used a grassroots approach, where individual people and teams mined their own data stores for insights as needed. Neither can handle the amount of data coming in from customers and internal operations. The problems with those approaches?

Data 72

Data Trends CTO Company 72

IdeaScale

JANUARY 9, 2018

IdeaScale offers a number of functions that will support you gathering key data and delivering efficient collective decisions. But sometimes folks need an example of how these work with the different decision types. The post Innovation Funnel Examples appeared first on IdeaScale. So here’s what those things look like. .

Examples 124

Examples Innovation Crowdsourcing Meeting 124

IdeaScale

MARCH 7, 2018

The EU directive of data-protection, privacy and general regulation of its data-economy is largely tied to the upcoming launch of the GDPR regime in May 2018. The Data-Economy. Reselling consumer behavior data has been the bedrock of almost all the major online platforms in the last decade. GDPR & Data.

Data 150

Data System Innovation Tools 150

Acuvate

DECEMBER 7, 2022

So when something goes wrong, for example, a leak, breakage, overflow, or contamination occurs, severe consequences (expensive asset damage or critical health issues) ensue before it is actually corrected or rectified. How are sustainable technological solutions enabling Smart Water Management (SWM)?

Data 78

Data Artificial Inteligence Management Technical Review 78

IdeaScale

AUGUST 2, 2018

Here are three promising examples of innovation in healthcare that may inspire others in the industry: Fighting HIV and AIDS. Their innovation strategy led them, as an example, to bolster education funding to ensure girls in Malawi finish secondary school, as better education is directly correlated with lower infection rates.

Examples 133

Examples Innovation Data Survey 133

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?

Data 129

Data Artificial Inteligence Tools Resources 129

IdeaScale

AUGUST 15, 2018

Data can tell us a lot, but not everything. The idea that cold, hard data tells us everything we need to know about everything is hugely popular at the moment. No matter how big the dataset, data mining and analysis have limits—or the “head” approach—and the same is true of “softer” method like customer surveys, the “heart” approach.

Data 113

Data Survey Artificial Inteligence Innovation 113

Board of Innovation

JUNE 5, 2022

Digital transformation examples How do you structure a digital transformation process, who needs to be involved, where to start? Below there is a list of pilot case & examples that are part of larger digital transformation initiatives. Table of contents 9 insights from our corporate innovation journey. Unplug from the organization.

Examples 52

Examples Technical Support Software Learning 52

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.

Data 52

Data Artificial Inteligence Management Policies 52

Planview

OCTOBER 19, 2023

In the pursuit of successful digital transformation, many businesses have faced challenges stemming from fragmented data repositories and the implementation of multiple systems of record to accommodate evolving business demands. This is where adopting a digital toolchain integration hub becomes not just advantageous but imperative.

Data 64

Data Agile Tools Software 64

Michael Roberto

APRIL 18, 2023

We shouldn't be choosing between leveraging big data to make decisions vs. conducting in-depth qualitiative research about our customers. As market researcher and Kellogg Professor Gina Fong states, "“Big data’s having a real moment right now. Numbers don’t lie—and big numbers sometimes give people more confidence in the data.

Big Data 46

Big Data Data Examples Study 46

Christensen Institute

AUGUST 25, 2022

New data suggests that this year, the social landscape for some high school students looks different than years prior. The Pew data is not all doom and gloom. One particular strategy can help schools and students reflect on these questions in a data-driven, asset-based, and equitable way: relationship mapping.

Data 98

Data Analysis Report Tools 98

Acuvate

JULY 10, 2023

Imagine sitting on a gold mine of data in your enterprise systems but struggling to manage it effectively. That’s where a robust data governance process comes in, ensuring your data stays consistent and reliable for crucial and timely business decisions.

Data 52

Data Management Technical Review Report 52

Acuvate

JULY 10, 2023

Imagine sitting on a gold mine of data in your enterprise systems but struggling to manage it effectively. That’s where a robust data governance process comes in, ensuring your data stays consistent and reliable for crucial and timely business decisions.

Data 52

Data Management Technical Review Report 52

TechEmpower Innovation

OCTOBER 9, 2023

Let's take a look at some of the many ways businesses can benefit from these new models to streamline operations and deliver faster and more accurate results.We’ll begin by looking at some real-world examples and then we’ll dive into more details of how these improved search capabilities can enhance your business.

Artificial Inteligence 207

Artificial Inteligence Generative AI How To Knowledge Base 207

The BMI Lab Blog

NOVEMBER 23, 2022

The experience of recent years shows that companies often overestimate the value of their own data and their own ability to generate revenue from it. In practice, very few companies can establish a sustainable business model based on data. To start, we need to detail what a data-driven business model actually is.

Data 52

Data Technical Review How To Big Data 52