Digital Transformation, Data and Innovation

RTI Innovation Advisors

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? Data and digital transformation There is no digital transformation without data.

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The Downside Of Data

Digital Tonto

Related posts: A New Era For Data. How Data Will Transform Science. What Is Big Data? All Posts Management Technology Big Data Marshall McLuhanThe first principle is that you must not fool yourself and you are the easiest person to fool.

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Big Data in Healthcare: The Next Necessity

Rocketspace

health tech big data and analytics healthcare innovation

Three Steps to Becoming a Data Leader

InnovationManagement

In the aftermath of the EU’s General Data Protection Regulation (GDPR), businesses aren’t crying out for data superheroes; but for a complete, well-drilled data army. The post Three Steps to Becoming a Data Leader appeared first on Innovation Management.

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Mixing Qualitative & Quantitative Data with Storyboarding

Speaker: Tristan Kromer, Lean Agile Coach, Kromatic

Qualitative data from UXers should not compete against the quantitative data product owners need for their business model. Qualitative vs. Quantitative is a silly argument.

DNA may be the Answer to Data Storage Problem

Innovation Excellence

Data, as many have noted, has become the new oil, meaning that we no longer regard the information we store as merely a cost of doing business, but a valuable asset and a potential source of competitive advantage. Innovation Big Data Data Storage DNA

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Data Bias Is Becoming A Massive Problem

Digital Tonto

As data and analytics increasingly become a core component of our decision making, we need to be far more careful Related posts: Is Big Data Doing More Harm Than Good? If Big Data Is To Live Up To. [[ This is a content summary only. All Posts Management Technology Big Data

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Data Science: Infinity War

mjvinnovation

In the coming weeks, we will post a series of posts here on the blog, where we will explain the details of the transformations guided by the new Data Age – which still faces a lot of different organizations. Since you cannot talk about movies without running into spoilers, here’s one about the digital revolution: data is the new digital strand of business! The Data Revolution: Which side do you want to stay in? Yes, it is via data that the market will transform.

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Data, Data everywhere

RTI Innovation Advisors

As a colleague of mine is fond of pointing out, data is the new oil. In many ways digital transformation and the value of the data it creates will enable many new digital hillbillies to strike it rich, striking gushers of data. Who is responsible for managing this data?

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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.

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Selling Data and Decisions to your Team

Speaker: Cait Porte, SVP Product and Customer Experience, Zmags

Join Product Management expert Cait Porte as she covers how to sell your ideas internally by leveraging data to drive decision making. During this discussion, we'll talk through: Leveraging data to make feature decisions.

Propel Your Innovation Strategy into Overdrive with Big Data

IdeaScale

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?

6 Ways to Protect Customer Data

Daniel Burrus

But protecting such data—specifically, personal customer data information—is more costly than just dollars and cents. That makes protecting customer data a business imperative that customers increasingly demand. Consider Destroying Data after You’ve Used It.

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Understanding the 5Vs of Big Data

Acuvate

In order to understand at what point ‘data’ transitions into being ‘big data’, and what its key elements are, it is imperative that we study the 5 Vs associated with it: Velocity, Volume, Value, Variety, and Veracity. What is Big Data. can be classified as unstructured data, .

Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact.

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What Users Want: How and Why to Build Knowledge into Your Product

Speaker: Nils Davis, Principal, NPD Associates

Usage data allows PMs, the product team, and the whole organization to make better decisions. But what if you don't have that data - such as before you have users? Or, what if the right decision seems to fly in the face of the data you have?

Is Big Data Doing More Harm Than Good?

Digital Tonto

Related posts: If Big Data Is To Live Up To Its Promise, [[ This is a content summary only. All Posts Management Technology Big DataThe truth is that no amount of complex tables and graphs can hide the fact that humans, with all of their faults, lie behind every system.

How Experian Built A Business Around Data

Digital Tonto

By reducing points of friction in the economy through better use of data, Experian sees an enormous business opportunity. Related posts: How Big Data Can Create Real Business Value. All Posts Management Technology Big Data Business Models Leadership

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Will big data solve the innovation gap?

RTI Innovation Advisors

Lately, with the advent of "big data", machine learning and other factors associated with data and more intelligent processes, the argument has been made that these capabilities will solve the innovation gap. This claim seems to suggest that big data and analytics and machine learning can do a better job in the front end generating new ideas that lead more rapidly to new products and services.

The Data Delusion

Digital Tonto

The notion that you can transform a failing media company—or any company in any industry for that matter— by infusing it with data and algorithms is terribly misguided.

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Embedded Analytics, Everywhere

Speaker: Dean Yao, Director of Marketing at Jinfonet

Empower users with better data presentation and exploration for deeper insights into their data. What's the next big trend in analytics software and applications? You've probably used it without even knowing: embedded reporting and analytics.

How to boost Marketing strategies from data mining

mjvinnovation

Data mining techniques help in decision-making by extracting and recognizing patterns, for predicting and understanding the consumers behavior in large databases, an extremely difficult task to do manually. Market Mining: Joining Data Mining to Marketing. Data Science Marketing

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Infinity War: meet the superpowers of Data Science

mjvinnovation

“Wait, but what does this have to do with Data Science?” In MJV, the infinity of the universe is represented by the amount of data we generate every day. It’s Big Data itself! This is where the infinity gaunt… I mean, Data Science comes in.

Big data is dead – a throwback to Data Natives Conference

etventure

At the Data Natives Conference in Berlin for three days it was all about data, technologies and innovation: 4 stages, more than 100 speakers and around 1,600 visitors. In his speech “Big Data is dead” he explained how companies can generate real added value from their data.

IoT Data Confidence Fabrics

Information Playground

As we enter the age of data valuation we're starting to witness the rise of data marketplaces. One of the concepts I've been experimenting with is the routing of IoT data from a sensor to a data marketplace.   This is called a data confidence fabric (DCF).

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Using Data and Messaging to Drive Product Activation

Speaker: Ruben Ugarte, Founder, Practico Analytics

Balancing qualitative and quantitative data for the whole picture. Onboarding users is filled with possibilities and challenges. Not only are you showing the user how to use your product, but it's also a chance to connect with them and understand their needs.

Innovation in Cities – How Big Data Builds Smart Cities

InnovationManagement

Strategies big data governments innovative local policy movement data population management populations public transport senor-driven smart navigation transportation trendsMore people are living in cities than ever before. More people are living closer together and changing weather and climate trends carry more threats to citizens. As cities become more digital, it is becoming easier to understand and predict the trends that are affecting the lives of the population.

Is Big Data Blinding Your Customer Innovation?

Innovation Excellence

Continue reading → Technology marketing Big Data Big Data Analytics intelligent alerting"It turns out that marketers are spending well over a third of their budgets (on average) on analytics.

Doctor Strange: scenario prediction and data inference

mjvinnovation

In this sense, we can clearly relate Strange Doctor with Data Inference. The concept of Data Science is closely linked to the research of hero scenarios. The Road to Being a Supreme Wizard – or Mastering Data Inference. That’s where Data Science comes in.

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4 Things You Need To Know About Big Data And Artificial Intelligence

Digital Tonto

All Posts Management Technology Artificial Intelligence Big DataThe winners in the cognitive era will not be those who can reduce costs the fastest, but those who can unlock the most value over the long haul. Related posts: 4 Ways Every Business Needs To Use. [[ This is a content summary only. Visit my website for full links, other content, and more! ]].

Using a Non-Revenue North Star Metric

Speaker: Ashley Carroll, Partner, Social Capital

What other metrics are applicable as your north-star, and how do you establish reliable data sources? How to establish reliable data sources. In this session, we’ll look beyond revenue as the primary metric in product analytics.

Artificial Intelligence: A Question of Data

Daniel Burrus

and the vast quantity of data that China is capable of generating on a daily basis, has many wondering if the U.S. Data is the fuel that feeds A.I. The more data you have, the more A.I. Most feel it’s all about the quantity of data.

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Important Business Data Cabinet Features

The Human Factor

When it comes to finding the best data cabinet for your servers no corners should be cut. Nonetheless, if you simply buy the first and cheapest data cabinet you find, you may as well have not bought one at all. Last but not least, another pivotal feature of any data cabinet is security.

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How Does your Business Stand to Benefit from Big Data?

InnovationManagement

Big data is becoming increasingly vital to business scaling and competition. Strategies analytics big data business intelligence data architecture data security decision making product development risk analysis

Big Data Solutions for Small Business Owners

InnovationManagement

Data analytics is a powerful tool, one that has the capacity to benefit small businesses just as easily as larger and more well-established organizations. While many new startups lack the in-house resources and expertise needed to generate, collate and analyze large volumes of data in order to produce useful insight, there are a variety of services and resources that can provide an ideal solution. Strategies big data data analytics

Project Analytics: Visibility that Aids Risk Management

Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker

Just as you use data from the customer to inform your solutions, transparency during the building of those solutions is critical for making better risk mitigation decisions. Using historic data to more effectively schedule product commitments in the future.