Creativity Must Guide the Data-Driven Design Process

Boxes and Arrows

Collecting data about design is easy in the digital world. New digital technologies allow us to easily measure almost anything, and apps, social media platforms, websites, and email programs come with built-in tools to track data. But what if it’s not because of the design?

Design 105

The Data Economy & GDPR – Innovating around Regulation!

IdeaScale

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. GDPR & Data. In the data-economy, the power is largely with the platform providers.

Data 170

Jumping to a fresh cycle of innovation design

Paul Hobcraft

I have argued in the past that innovation management needs to radically adjust and needs to be designed differently, it needs to be highly adaptive. The need to have a new cycle of innovative design. Can we design a totally ‘adaptive’ innovation process to fit the specific need?

Design 210

Should You Fix the Problem or Design it Out?

Innovation Excellence

Plastic straws consistently make the top ten list of items found, according to Ocean Conservancy’s International Coastal Cleanup data. Innovation Psychology behavioral design California Design Thinking Human-centered Design Human-centered Innovation Seattle Starbucks

Data From 3.5 Million Employees Shows How Innovation Really Works

INNOVATION Data From 3.5 ve years of data from 154 public companies covering over 3.5 But what we learned from our analysis of all this data is that innovation is, indeed, a science.

Blending Big Data and Design Thinking Works Best

Michael Roberto

Bryant University Professor Lori Coakley and I have published a new article in the American Management Association Quarterly (Fall 2018 issue) titled, "The Human Center of Design Thinking." big data creativity design thinking innovation

Designing in the Era of the Algorithms

Rmukesh Gupta

I came across this video by Josh Clark where he talks about the challenges and opportunities of designing stuff (products/services) in the era of algorithms.

Transport Challenge: Deutsche Bahn and Data Pitch ask startups to change the future of transport

Innovation Excellence

German rail company, Deutsche Bahn AG, is making its data available to start-up businesses and SMEs as part of Data Pitch, a new European Commission-funded initiative which is supporting open innovation with data.

Designing for Harmony

Boxes and Arrows

By using these nascent user-centered design methods, they were able to meet the expanding needs of their user base and claim over 90% of the small business accounting software market. Was their size and rapid growth diluting their design-driven culture?

Design 107

Monetizing Big Data in Next-Generation Mobility

Corporate Innovation

In my book and previous posts I build a broad case for the importance of big data and AI in next-generation mobility , and provide several examples of data that is being collected, or can be collected, in a variety of transportation and logistics situations.

6 Ways to Create a Successful Innovation Program

Drawing data from Spigit’s customer base as well as third-party research, here are six tangible. translates to collecting real-time data and feedback to. 3 Kathy Harris, “Use Innovation Network Design to Unleash Open Innovation,” Gartner, Feb.

Applying the Three Horizon Thinking to a Fresh Perspective of Innovation Design

Paul Hobcraft

I recently applied the three horizons thinking to ‘frame’ a new innovation design. So the thinking intent of searching for a new innovation design had some framing assumptions that can leverage where we are to move towards a new future.

Design 145

A New Role For Humans: Prepping Data So AI Can Learn To Do Our Jobs

Game-Changer

Current AI training methods require reams of labeled data. The limitation is the amount of data needed, and the time and labor to label it properly. Today the new job is tagger : people who prepare data so algorithms can learn to do our jobs.

Data 141

Understanding Big Data to Improve Healthcare Delivery

IdeaConnection

The New Jersey Hospital Association in the USA has launched a data and informatics center that will use big data analytics techniques to identify and address gaps in healthcare for New Jersey’s citizens.

Ending the UX Designer Drought

Boxes and Arrows

Apprenticeship allows you to make the designers you’re having trouble finding. Average time required to identify and hire a UX designer (HR leadership). How many designers per year can apprenticeship contribute? Average cost per UX designer recruit.

A Guide to Designing Delightful Dashboards

Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino

We’ve all seen the increasing industry trend of artificial intelligence and big data analytics. In a world of information overload, it's more important than ever to have a dashboard that provides data that's not only interesting but actually relevant and timely.

#1,401 – Designer Babies

Greatest. Idea. Ever.

People are likely going to be up in arms over news that a rogue Chinese scientist has allegedly (for the first-time ever) successfully used the CRISPR gene-editing technique to create a designer baby. Is creating a designer baby the Greatest Idea Ever?

The business of design

Xinova

Does being an innovation company today mean you’re also a design company? An expansive discussion occurred recently on the Xinova Slack board about the importance of Design (deliberately capitalized as the substantive) with regards to what Xinova does, who Xinova is, and why Xinova does what we do. Inventor Community business value data analysis design designer innovation R&D

Elements of Learning Experience Design

Boxes and Arrows

The process of designing any sort of human experience, regardless of purpose or platform, is centered around reaching a desired outcome, ideally with as little fuss and as much joy as possible. That process of curriculum creation is most commonly called instructional design.

Design 113

A better way: combining Design Thinking and Business Intelligence

mjvinnovation

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. A qualitative analysis of Business Intelligence is added through the experimental and collaborative methodology brought by Design Thinking. Big Data: data analysis is what really matters.

6 Keys to Making Collaborative Innovation Successful

Speaker: Soren Kaplan, Founder of InnovationPoint

Design and composition by Greenleaf Book Group Cover design by Greenleaf Book Group Cataloging-in-Publication data is available. Design the interplay. For others, it may involve designing the next.

A better way: combining Business Intelligence with Design Thinking

mjvinnovation

The combinatorial approach to Business Intelligence with Design Thinking achieves an unprecedented level of comprehension of corporate realities, and it does so in a concrete way, incorporating the subjective factors of the human relationships involved. A qualitative analysis of Business Intelligence is added through the experimental and collaborative methodology brought by Design Thinking. Big Data: data analysis is what really matters.

Making Big, Bold Assertions to Drive Design Strategy

Innovation in Practice

Design strategy is built on assertion. On the way to a great design strategy is the creation of a series of value assertions: driving statements that guide creative exploration and describe our commitment to our customers. I run a design strategy company called Modernist Studio.

A Better Data Visualization Tool

Taivara

A Better Data Visualization Tool? Testing a customized enclosure diagram approach to data visualization. While handling huge amounts of data is a challenge for virtually all industries, it is a particular challenge, with real consequences in cyber-security and national defense.

Tools 36

4 Tips for Designing Apple Watch Apps

Boxes and Arrows

With those thoughts in mind, here are four tips for designing applications for the Apple Watch. As a designer, your role is to design an intuitive navigation layout best suited to your app, bearing in mind that the two navigation types should not be mixed. Design Principles

Tips 68

Building a High-Performance Customer Data Platform

Taivara

Building a High-Performance Customer Data Platform. This requires a high performance customer data platform. Need a High-Performance Data Platform? This causes a variety of out of date, conflicting, or missing data elements within the retailers internal systems.

Data 39

The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. To be effective in the information business, automakers must change their perspective and start thinking about an overall process for big data in and around the car. Automakers must become serious about big data . is another big data generator.

The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. The pieces are the result of my work in the industry helping corporations with their innovation and big data strategies. To be effective in the information business, automakers must change their perspective and start thinking about an overall process for big data in and around the car. Automakers must become serious about big data . is another big data generator.

Automakers Must Partner Around Big Data

Corporate Innovation

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience.

Automakers Must Partner Around Big Data

Corporate Innovation

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience.

Automakers Must Partner Around Big Data

Corporate Innovation

By extensively utilizing data, and paying attention to detail Tesla has changed the conversation on the type of personalized experience car owners (drivers and passengers) should expect from an automaker. Tesla has taken a lesson from Apple, Google, Facebook and Amazon, four companies that obsess about connecting pieces of data and using it to better understand their consumers and tailor their services to provide the right experience.

The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. This challenge is becoming extremely acute as a result of the increasing adoption of EAC vehicles combined with Mobility Services (EAC+MS) and the torrent of data that will be generated as a result of this adoption. . To do so, automakers must: Think strategically and own the big data strategy. Create a data-sharing culture.

The Automotive Industry’s Big Data Challenge (Part 2)

Corporate Innovation

In this first part of this two-part series, I discussed why the automotive industry, particularly the incumbent OEMs, is facing a big data challenge. This challenge is becoming extremely acute as a result of the increasing adoption of EAC vehicles combined with Mobility Services (EAC+MS) and the torrent of data that will be generated as a result of this adoption. . To do so, automakers must: Think strategically and own the big data strategy. Create a data-sharing culture.

Designing for Social Interaction

Boxes and Arrows

Let’s look at each type of tie, and how we might design for them. 9 So, when we’re designing for strong ties, we’re designing for small groups of people. When designing for strong ties: Think about their existing means of communication.

Design 111

Monetizing Personalized Transportation Experiences by Exploiting Big Data

Corporate Innovation

But as autonomous vehicles start to share the road with traditional cars, and as car access becomes as important an element of personal mobility as car ownership has been to date, the characteristics each automaker advertises to entice car buyers into dealer showrooms such as design, engine horsepower, fuel economy, safety, reliability, cabin size and luxury, infotainment, will need to be rethought. Automakers have been placing the driver experience at their design center.

Monetizing Personalized Transportation Experiences by Exploiting Big Data

Corporate Innovation

But as autonomous vehicles start to share the road with traditional cars, and as car access becomes as important an element of personal mobility as car ownership has been to date, the characteristics each automaker advertises to entice car buyers into dealer showrooms such as design, engine horsepower, fuel economy, safety, reliability, cabin size and luxury, infotainment, will need to be rethought. Automakers have been placing the driver experience at their design center.