The Role of Leadership in Building a Culture of Data


In order to glean useful and actionable insights from organizational data, companies must have a structured data strategy and ensure that a culture of data is imbibed across the organization. The global big data market which is currently evaluated at $1.7 Overview.

Data 56

Seven Steps to Implement Analytics Programs

Innovation Excellence

These programs are implemented using Agile development methodology rather than waterfall. Continue reading → Build Capability Disruption Leadership culture agile Analytics Big Data Innovation

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

From end to end: why the union of Design Thinking and Agile has been so successful


Where DT can’t reach, Agile can compensate and vice versa. Agile: Make Tangible and build. Since you have a well-defined idea (through Design Thinking), Agile will clear a path towards your idea by removing obstacles that stand in your way. Agility is a mindset.

3 Business Innovation Reports You Must Read Right Now

Innovation Excellence

The following business innovation reports cover three core elements that consistently prove important to success: developing a certain kind of company culture; the connection between data, legislature, challenges, and opportunities; and finally, emerging business trends that continuously impact enterprise innovation programs.

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. Dashboards assist decision makers facilitate new ideas and business opportunities, increase customer approval rates, and analyze current business process. All of these activities play a vital role in providing the superior experience your customers demand.

7 Top Business Intelligence Trends to Watch for in 2019 and Beyond


A study conducted by Gartner predicts that by the end of 2019, analytics output from self-service BI software will surpass the analytics output of data scientists. Giving business users the power of BI will increase the efficiency and agility of the organization. 5 Data Governance.

The Industry 4.0 Advantage

Daniel Burrus

Big Data and Analytics. allows for streamlining, collecting and comprehending data from many different sources, including networked sensors, production equipment, and customer-management systems, improving real-time decision making. Advanced simulations will be used more extensively in plant operations to leverage real-time data, mirroring the physical world in a virtual model. Universal data-integration networks in Industry 4.0

Digital Technology MoshPit

Gregg Fraley

All frameworks (Agile, Lean, CPS, Design Thinking, Stage-Gate) require people to come up with fresh ideas, and MoshPit has a new and better way to do that. Data Analytics. Big Data. New Service Offering for Digital Technology Innovation.

4 Ways to Amplify Digital Innovation in 2018

Gregg Fraley

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.

Business Analytics: how to implement in your company


In the “Data Age,” the volume of information produced and shared every second has become so large that the traditional methods used to process them are no longer adequate. It is in this new scenario that the concepts of Big Data, Analytics, Internet of Things, etc.

What's Slowing Down your Organization's Agility?

BPI Thought Leadership Commentary

Organizational agility is the ability to quickly identify (strategic responsiveness) and execute initiatives (organizational flexibility) to respond to opportunities and risks that align with the overall strategy. Organizations have to keep pace with the opportunities and threats created by growing customer demands and disruptive changes such as big data and the internet of things.

The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs. Big data. Big data. Big data. Big data. Big data.

The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

Figure 1 shows the top 20 R&D spenders in 2014, based on data compiled by PwC, where we see (in red) that six of the top 20 companies are incumbent automotive OEMs. Big data. Big data. Big data. Big data. Big data.

The Evolution Of Project Management — Trends For 2018


EVM integrates cost, schedule and scope to create data points to be used to evaluate progress. Agility has disrupted traditional delivery methodologies, and companies are learning that they need to blend agile and waterfall to deliver results.

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

Paul Hobcraft

The unique combining of the cloud, big data, social streaming, the internet of things, mobility, the industrial internet, are all making this the time for new growth opportunities through this digital economy and the radical overhaul of the activities to realize the benefits.

Design 151

Parkinson’s Law and the Peter Principle – are they relevant to innovation?

Idea to Value

This is why “lean” and “agile” have become buzzwords today. There are assessments for nearly everything and big data will probably provide more on the less tangible things like creativity and likeability. 10 people write 10 reports in 10 hours.

Report 145

How Inovation Affects Leadership and Reskilling: Industry 4.0 Case

Idea to Value

There’s a closer relationship between people, objects, devices, and the data we generate every day. leaders will foster a transparent and creative culture that isn’t afraid of agile changes and evolution.

Key Innovation Issues for 2016 and Beyond

Integrative Innovation

Operating in unpredictable environments relies on an agile organization , following an adaptive, evolutionary and more bottom-up approach, resembling complex adaptive systems, e.g. in biology. 75% of all digital data is now created by consumers , much of it via handheld devices.

B2B 76

So Where Is Innovation Heading?

Paul Hobcraft

Of course, this shift requires really big changes in strategy, operations, the organization and in each individuals orientation. The importance of big data, the speed of technology adoption, mobile products, digital design, and technology platforms are at the heart of innovation.

Nearshore Outsourcing: what is it, how does it work and what are its advantages?


We know that building this new normal is a very big challenge. In addition to our technical skills and agile, user-centered design practices, at MJV we propose several collaboration models – including high-impact, quality teams at affordable costs. Agile Methodologies. To develop more strategic projects and streamline processes, we use the Agile mindset to manage remote teams. Zygmunt Bauman calls this transition that we live in times of interregnum.

Agile 40

Scale gives way to speed

Jeffrey Phillips

Scale is giving way to agility, speed and customer experience. Speed, agility and insight matter more. His point is that big businesses routinely trip over themselves to understand the technologies that are emerging without thinking through the impact on the existing business models or the new business models that may emerge. Increasingly it's clear that corporate strategy must embrace an increasingly unscaled world where size matters less and speed and agility matters more.

Agile 125

Jumping to a fresh cycle of innovation design

Paul Hobcraft

Can we find ways to be highly adaptable, agile and fluid in grabbing and taking the parts of the innovation system and constructing them into that design and process that works for that specific challenge? We need to design our systems to be highly agile.

Design 222

Needing To Think Applied Innovation Services

Paul Hobcraft

We need to consider how big data and analytics, technology and a far more creative thinking needs to be applied collectively. Creating a fluid, adaptive, agile innovation system unique each time.

Why digital transformation will drive business model innovation

Jeffrey Phillips

Blockchain and IoT provide greater oversight into where components are made and sourced, and big data helps identify cost issues, leading to more pressure on the supply chain. Older members of the supply chain providing simpler components feel increasing pressure to automate and cut costs, while newer members bring far more technology savvy and agility.

System of Engagement

Information Playground

 Therefore the amount of data managed in a system or record grows fairly predictably, and business intelligence algorithms explore this data with relative ease. A system of engagement interacts with external endpoints that generate orders of magnitude more data.

Beware conventional wisdom in innovation and digital transformation

Jeffrey Phillips

It advocates: Determine a Use Case for the new technology or approach Train people to be more proficient users of the new technology Start small - find small successes This advice was true for the following list of management concepts: ERP Lean Agile Six Sigma Doing business on the internet and I suspect many, many more. Corporations need to be more agile, yes, and experiment, yes, but also must be able to scale quickly and implement quickly. Go big or stay home.

Technology leads, innovation exploitation is lagging

Paul Hobcraft

It is highly reliant on manual systems with people often disconnected from the real innovation engagement making decisions on inadequate data or insights. This merging of cloud, big data, social, and the internet of things is becoming the new system of discovery according to some.

Top Takeaways from the 2019 Innovation Trends Report

Agile (33%) and Human-Centered Design (30%) came closely behind with some newer frameworks, such as design sprints , gaining some popularity at 22%. Innovation is a big influence in business success.

Startup, Corporate Venture, Open Innovation Hubs: Find out what the differences are


This open innovation hub works within the university’s Technology Park to develop projects in the areas of Design Thinking, Gamification, Big Data/Analytics, Agile Methodology, Digital Strategy and Internet of Things. After all, what is a Startup?

Digital Transformation: The Why, What & How For Transformational Leaders…

The Future Shapers

A successful digital transformation requires a transformational approach, you will need to consider and adopt new ways-of-working, thinking and planning – that are beyond silos, outside-in and agile in nature. The increased role of big data in modeling and managing risk.

Agile 89

The digital revolution will not be evenly distributed

Jeffrey Phillips

There were financial applications, manufacturing applications and customer service applications but no unified, enterprise application that integrated systems and data across all the functions. New data streams will create opportunities for new services, new experiences and new revenue models.

Data 163

Beneath the Jargon: where "transformation" meets innovation


Starting with them tends to lead to the ‘same old, same old’ set of initiatives – e.g., be more customer centric, be more agile, get greater insight through big data. Take a ‘hot’ business word of today: transformation. For years, I stopped using the word ‘transformation.’

Insights from Innovation Roundtable Summit 2019


Data is more like Sand, than Gold. Innovative approaches were discussed to turn data into actual business value. This process might require a deeper understanding of the context of the data, and, of course, an ability to link it to a business value proposition.

Agile 48

Industry 4.0: what it is and what are its current impacts


phenomenon claim that it is driven by four major forces: the amazing growth of data volume (Big Data): more technologies and more connectivity cause companies to produce, analyze and use more data in their production processes; . Agility and flexibility.

The Perfect Conditions for Entering A New Innovation Era in 2017

Paul Hobcraft

There is a time where each business has to become highly adaptive, agile, open and mutually dependent on others to deliver in this ‘connected’ world to exploit these conditions and explore the opportunities that will emerge.

What are the new marketing roles?


Today, the world is digital and data driven. Under this umbrella are practical functions such as: Making a data-oriented marketing strategy to provide intelligence at all levels of business. Map and analyze large volumes of behavioral data. Data-driven performance.

5 Tips for Legacy Modernization Through Integration


Modernizing IT through agile methodologies can speed up the provision of IT services by 30-50%, according to McKinsey. Enterprises need to leverage APIs to rapidly implement innovations in mobile, IoT, social, and big data.

Tips 63

A New Integrated Innovation Engagement System

Paul Hobcraft

” We need to increasingly rely on problem-solving techniques that we generate through greater automated discovery and inquiry, those that emerge from analysis and data mining. We need to be more agile, iterative , to be encouraged to be extracting, experimenting and exploring.

System 210

Urgent Message for CMOs of Challenger Brands


Do you have technology that aggregates and stores customer/consumer data across all appropriate touchpoints? What do you estimate the “data maturity” of your organization to be? how difficult is it to navigate company silos and/or technology landscape to deliver the big data necessary for marketing and customer service purposes?). Do you have an agile test and learn strategy? Data Science & Analytics Featured Blog Data Analytics

Creating Digital Entrepreneurs 


Making a decision which results in failure can cost a leader their job – so taking risks is a big gamble. When we think about digitization, we think about technologies, processes and business models.

Agile 65

Could Digital Transformation drive a nail in innovation’s coffin?

The Future Shapers

Today, the phrase “Digital transformation” is a catch-all that incorporates the idea of converting analog processes and capture systems to digital processes and data, as well as the implementation of a number of digital enablers – the Internet of Things, Industry 4.0, big data, blockchain and a host of other technologies. In effect we will be creating more data, more quickly, around digital processes that may be completely misaligned with customer and market needs.

Data 57

Capabilities and Leadership Close the Skills Gap in Manufacturing

Innovation 360 Group

Most importantly, they will need the right cultural matrix to support agile operations and flexible work. We have found a great deal of valuable insights in the data, particularly about top performing manufacturers.

Choosing your direction of travel

Paul Hobcraft

There is certainly a clear buzz and appeal for more novel solutions, based on more rigorous evaluations through increasing the field of data analysis, leveraging a greater discovery of Molecular sciences and finding these different combinations that stretch existing products and patents.

Travel 151