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.
Information Playground
FEBRUARY 16, 2017
In 2014 EMC partnered with Capgemini to conduct an industry survey on Big Data. Buried deep within the Big Data Report was the following quote: “Among our respondents, 63% consider that the monetization of data could eventually become as valuable to their organizations as their existing products and services”.
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Paul Hobcraft
MARCH 27, 2018
They point out that since 2014, only four types of innovation and that are all related to digital, have grown increasingly in importance in their pursuit by companies. The importance of big data, the speed of technology adoption, mobile products, digital design, and technology platforms are at the heart of innovation.
Information Playground
OCTOBER 24, 2016
My keynote focused on Data's Economic Value in the Age of Digital Business. First Key Insight: CIOs Need to Insert Themselves Into the Data Value Conversation. accurately price data assets for sale/purchase. accurately price data assets for sale/purchase. There is a lack of capability to.
Tim Kastelle
MARCH 13, 2016
BCG comments: (…) it appears that even within the technology sector, many companies are not getting the message; on average, only about a third of executives project big data and mobile will have a significant impact on innovation in their industries over the next three to five years.
hackerearth
NOVEMBER 20, 2017
The collaboration for data-driven products is expected to deliver over one billion euros in annual client benefits by 2022. In 2014, Cisco Entrepreneurs in Residence , a startup innovation program, was launched to embrace “openness” and transform the IoT/IoE and Big Data spaces.
Corporate Innovation
APRIL 25, 2017
In my book, The Big Data Opportunity in Our Driverless Future , I make two arguments: 1) that societal and urban challenges are accelerating the adoption of on-demand mobility, and 2) technology advances, including big data and machine intelligence, are making Autonomous Connected and Electrified (ACE) vehicles a reality.
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