The BMI Lab Blog

NOVEMBER 23, 2022

To start, we need to detail what a data-driven business model actually is. Therefore, data-driven business models can be understood as those models in which digitized data - in various degrees of processing - offers the central added value for customers or consumers. Galler Business Model Navigator, München: Hanser, 2013. [2]

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Data Technical Review How To Tips 52

Harvard Business Review

DECEMBER 12, 2012

In no particular order, here are six social-digital trends to watch in 2013: The Content Economy Content may become your company's most valuable asset in 2013. In 2013, content will not only be king, but queen, prince and jester, too. So what can we potentially expect to see next year? Now it has accomplices.

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Trends Data Comparison Big Data 12

Harvard Business Review

JULY 17, 2014

When Raja Rajamannar became CMO of MasterCard Worldwide in 2013, he moved quickly to transform how the credit card giant measures marketing. His artillery: Advanced Big Data analytics. MasterCard had always been a data-driven organization. Rajamannar involved finance early.

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Big Data Marketing Data Case Study 15

Harvard Business Review

DECEMBER 28, 2012

We hope you'll find some insights here you may have missed the first time around, and that they'll help you make 2013 a productive and innovative year for your company and yourself. Why Big Companies Can't Innovate. Big Data's Management Revolution. Innovation, Especially the Disruptive Kind, Seemed as Difficult as Ever.

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Disruption Big Data Conference Data 15

hackerearth

MARCH 29, 2018

Although it was set up with a corpus of $100 million 2013, it expanded to $500 million by 2015. By bringing together corporates, academia, and governments, it looks to strengthen the innovation ecosystem in India. . Infosys Innovation Fund.

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Technical Review Entrepreneurship Innovation Knowledge Base 48

Harvard Business Review

MARCH 25, 2014

In their best-selling 2013 book Big Data: A Revolution That Will Transform How We Live, Work and Think , authors Viktor Mayer-Schönberger and Kenneth Cukier selected Google Flu Trends (GFT) as the lede of chapter one. In short, you wouldn’t have needed big data at all to do better than Google Flu Trends.

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Big Data Data Trends Underperforming Technical Team 11

It's Saul Connected

FEBRUARY 24, 2015

23andMe jumped the gun in 2013 and had their wrists slapped by the FDA for selling consumer test kits prior to establishing a validated basis for interpreting test results. One thing is certain, there will be more data than useful information, more noise than signal. My head explodes when we start talking zettabytes and yottabytes!

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Data Big Data Tools Disruption 40

Harvard Business Review

JUNE 25, 2013

Few industries illustrate the Big Data wars better than the media business. Using their treasure troves of information on online customer viewing habits, they''re designing new TV series that their data tells them will win. subscribers in the first quarter of 2013, a 7% increase over the previous quarter. billion.

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Big Data Data Company Survey 10

Harvard Business Review

FEBRUARY 14, 2013

Companies in all industries are trying to capitalize on the Big Data revolution with the belief that the ability to collect and quickly analyze huge streams of data will provide new insights, better decisions, and a better customer experience. Tune in now to learn how you can make your IT projects successful in 2013.

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Big Data Data Project Technology 8

Anaqua

MARCH 30, 2018

This concrete example from May 2012, when Google acquired Motorola, illustrates the challenge in the communicated value of “intangible assets” (where patents and trademarks reside in the Balance Sheet): Google Balance Sheet, intangible assets (in millions): End of 2013 $6,066. End of 2012 $7,473. End of 2011 $1,578.

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Roadmap CTO Underperforming Technical Team Data 40

Integrative Innovation

JANUARY 27, 2016

Hence, I gave it some thought, starting by revisting an earlier reflection: Beginning of 2013, Tim Kastelle and I identified four key issues in innovation management for the time to come. Indeed, BCG research shows that big data leaders generate 12 percent higher revenues than those who do not experiment with big data.

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Underperforming Technical Team Innovation Big Data LEAN 40

Harvard Business Review

MAY 19, 2014

Not a week goes by without us publishing something here at HBR about the value of data in business. Big data, small data, internal, external, experimental, observational — everywhere we look, information is being captured, quantified, and used to make business decisions. Why data matters.

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Data Management Big Data Analysis 21

mjvinnovation

DECEMBER 13, 2019

Regarding public health, data recorded in the systems allows researchers to access statistics that are entered in real-time. Big Data and Cloud Computing are two technological phenomena that have gradually altered the way the healthcare market has grown and developed. trillion by 2020.

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Artificial Inteligence Marketing Data Trends 40

Harvard Business Review

JULY 20, 2012

An Industry Scorecard on Big Data Business Challenges (Oracle). Oracle recently surveyed 333 executives across 11 industries to gauge the growth of Big Data. The good news is that companies are collecting 86% more data than they were two years ago. Slideshow: 6 Big Tech Debuts for 2013 (Inc.).

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Technical Review Big Data Survey Data 14

Harvard Business Review

JANUARY 9, 2013

My day job as a venture capitalist focuses on innovations in digital media and big data, and new models of business information and community connectivity. Which, leads me to three resolutions for 2013 that all swim against the mass-connectivity tide: 1. Maybe 2013 year is the year to begin a slow conversation movement.

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Technical Review Big Data Meeting Video 15

Harvard Business Review

AUGUST 5, 2015

His solution, in 2013, was to create a Facebook page called “Residents of Via Fondazza—Bologna” which he promoted by posting flyers in his neighborhood. Either is possible, for example, with big data. Bastiani grew up in a small town in Tuscany, where people knew and helped their neighbors.

Big Data 14

Big Data Data Technology Tips 14

Harvard Business Review

APRIL 14, 2017

By the time he left Amazon in 2013, his group had grown from 35 to more than 1,000 people who used machine learning to make Amazon more operationally efficient and effective. Over the same time period, the company saw a 10-fold increase in revenue. AI wasn’t new at Microsoft.

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Artificial Inteligence Company Technical Review Survey 17

Harvard Business Review

MARCH 25, 2013

For 2013 — mark your diary for December 3rd — we've set a goal of 5,000 partners including some of the nation's top corporate names and leading funders. A New Type of Philanthropy: Donating Data. Nonprofits: Master "Medium Data" Before Tackling Big Data. Can Technology End Poverty?

Change 19

Change LEAN Big Data Groups 19

Harvard Business Review

MAY 20, 2014

More than half (52 percent) of respondents who graduated in 2012 and 2013 and managed to find jobs tell us they did not receive any formal training in those positions. Here, a good example might be early training in data analysis and visualization. Lay the groundwork for future contributions.

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Underperforming Technical Team Training Survey Big Data 14

Harvard Business Review

AUGUST 22, 2014

More than 2,500 developers and start-ups have reached out to the IBM Watson Group since the Watson Developers Cloud was launched in November 2013. They brought in 2000 people, a dozen projects, a couple of Big Data and content analytics tools, and a consulting unit (outside of IBM Global Services ). So how does it work?

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Change Agile Open Innovation Crowdsourcing 15

Harvard Business Review

JANUARY 25, 2013

Compare that to the recent rise of an impromptu city near Allahabad in India: In the week after January 14, 2013, the first day of the Maha Kumbh Mela festival — during which Hindus gather for a sacred bath at the confluence of the Ganga and Yamuna rivers — around 10 million people had gathered there.

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Study Big Data Comparison Data 12

Harvard Business Review

AUGUST 28, 2017

Total investment (internal and external) in AI reached somewhere in the range of $26 billion to $39 billion in 2016, with external investment tripling since 2013. Likewise, within any industry the companies that are early adopters of AI have already invested in digital capabilities, including cloud infrastructure and big data.

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Survey Artificial Inteligence Big Data Technology 15

Harvard Business Review

JULY 30, 2015

This continues a trend The Association of National Advertisers first reported in 2013. As analytics improve and Big Data gives way to the real insights in Little Data , we are able to drive our efforts down to individuals. The traditional agency structure, forged over decades, is not necessarily built for that model.

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Marketing Trends Data Report 15

Harvard Business Review

APRIL 22, 2014

These intriguing revelations come from a short trip around The Best American Infographics, 2013. Can you give me an example of an infographic that’s good at boiling down a mass of big data? This is something infographics are naturally designed to do – give you the gist of a really big data set. Seriously?).

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Big Data Data Design Tools 15

Harvard Business Review

MAY 22, 2014

Data scientists, supported by the stunning growth in the gathering and processing of so-called big data, can extract patterns from massive stores of browsing and sales data in order to predict our likes and dislikes and tailor marketing experiences to us. Big data flexed its muscles. But there is a problem.

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Artificial Inteligence Big Data Data Marketing 11

Harvard Business Review

OCTOBER 15, 2013

Today most if not all industries are impacted by digitization—mobile technology, big data, and the like. This article is adapted from the HBR interview with Ram Charan, You Can’t Be a Wimp, Make the Tough Calls found in the November 2013 issue of HBR. How P&G Presents Data to Decision Makers.

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Big Data Resources Competition Data 11

Harvard Business Review

OCTOBER 8, 2018

The past 10 years have seen a wave of innovative big data software designed to analyze, manipulate, and visualize data. Yet for the regular knowledge worker, Microsoft Excel, 30 years on, remains the go-to product for people looking to make sense of data. Excel developed a mind of its own in 2013 with this feature.

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Data Learning Big Data Tips 15

Harvard Business Review

JANUARY 20, 2015

Luminar is a dedicated business unit that shifted from delivering internal analytics to offering big data as a service to external clients. In 2013, the business expanded further by launching the Luminar Audience Platform for buying targeted online audiences. Thus, in 2012, Luminar was born.

Technology 14

Technology Data Policies Survey 14

Harvard Business Review

APRIL 22, 2015

Consider even the digital world and the rise of big data, which on the surface seems like a way to lighten our collective load on natural resources. Yes, data helps us dematerialize and find efficiencies in all aspects of our economy. But even the cloud has a very real and physical basis. Russia, and India would be the cloud.

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Data Big Data Industry Video 11

Harvard Business Review

JUNE 16, 2017

The reality seems less impressive, as a global IBM survey of more than 1,700 CEOs found that 71% identified human capital as a key source of competitive advantage, yet a global study by Tata Consultancy Services showed that only 5% of big-data investments were in human resources. Putting Data to Work. Insight Center.

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Analysis Data Survey Engagement 15

Harvard Business Review

FEBRUARY 9, 2016

And in 2013, another series of studies by Heilman and Michelle C. This bias is a growing problem in economics since coauthored papers are becoming more common (perhaps due to larger-scale big-data projects that require more people). “My hope for this paper is not that women work in groups less,” Sarsons explained.

Software Review 15

Software Review Collaboration Groups Study 15

Harvard Business Review

MARCH 25, 2013

For 2013 — mark your diary for December 3rd — we've set a goal of 5,000 partners including some of the nation's top corporate names and leading funders. A New Type of Philanthropy: Donating Data. Nonprofits: Master "Medium Data" Before Tackling Big Data. Can Technology End Poverty?

Change 12

Change LEAN Big Data Groups 12

Harvard Business Review

MAY 26, 2014

In our group at Merck, we are witnessing this opportunity firsthand as we collaborate with start-ups in the areas of digital health, big data, and health IT. billion in 2013, up 39% from 2012. Access to data is enabling us to better understand and address problems.

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Entrepreneurship Policies Data Big Data 10

Harvard Business Review

APRIL 15, 2015

But as we dug further into the integrated big data-set of sales and motivations, it revealed further insights. This is not surprising when you consider that the Bureau of Labor Statistics Consumer Expenditure survey says food for at home expenditures was $3,977 per household in 2013.

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Comparison Big Data Survey Marketing 12

Harvard Business Review

NOVEMBER 4, 2014

In 2013, the company released a service called Virtual Technician to help existing drivers while also enabling new business models and revenue streams.

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Change Internet of things Leadership Data 13

Harvard Business Review

NOVEMBER 4, 2014

In 2013, the company released a service called Virtual Technician to help existing drivers while also enabling new business models and revenue streams.

Change 13

Change Internet of things Leadership Data 13

Harvard Business Review

JANUARY 5, 2015

Smart virtual personal assistants: SVPAs started entering the market in 2013. At the time, they used semantic and natural language processing; data mined from our calendars, email, and contact lists; and the last few minutes of our behavior to anticipate the next 10 seconds of our thinking.

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Technical Review Trends Artificial Inteligence Data 15