INDUSTRY INSIGHTS YOUR PEERS ARE READING
interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Why Managing by Facts Works: Strategy+Business. Converting Strategy Into Action. Pankaj Ghemawat: Redefining Global Strategy: Crossing Borders in a World Where Differences Still Matter. May: The Shibumi Strategy: A Powerful Way to Create Meaningful Change. Phillips: Lincoln on Leadership: Executive Strategies for Tough Times. MORE
When you think about your company''s digital learning content strategy, what''s the first thing that comes to mind? Business leaders receive meaningful and actionable learning analytics. MORE
What is important is that when you look solely at your social media analytics – say for example what content gets the most views or engagement, the data represents only one part of your audience. MORE
The answer, in a nutshell, is analytics. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years. For certain elements of the analytics, we had to wait and be patient. MORE
interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Why Managing by Facts Works: Strategy+Business. Converting Strategy Into Action. Pankaj Ghemawat: Redefining Global Strategy: Crossing Borders in a World Where Differences Still Matter. May: The Shibumi Strategy: A Powerful Way to Create Meaningful Change. Phillips: Lincoln on Leadership: Executive Strategies for Tough Times. MORE
These patterns can be used to detect emerging behavioral trends before they can be observed by other data analytics techniques. Endor’s analytics engine identified 80 Twitter accounts as potential EOIs because they were similar enough to the positive samples that the agency provided. MORE
my fellow guest columnist Tom Davenport reflected on whether institutions should appoint a dedicated executive to oversee their company-wide big data and analytics initiatives, and if so, which C-level senior executives should such a position report to. MORE
Others include biometrics, cloud computing, cognitive computing, machine learning and predictive analytics. MORE
In my post referencing the ICDE's Global Guidelines: Ethics in Learning Analytics yesterday I said: This document summarizes the considerations of an ICDE working group on learning analytics. The presumption throughout is that a global ethic in learning analytics is needed, can be known, and comprehends the issues in this document. Definition and purpose of the use of Learning Analytics Where is data drawn from? What data must be included in learning analytics? MORE
This year’s Symposium will be focused on the challenges of executing a digital transformation strategy. It’s no longer enough to have formulated a digital strategy for the business. After working on it for several months, the strategy began to emerge. MORE
A successful program requires firms to address many elements of a digital and analytics transformation: identify the business case, set up the right data ecosystem, build or buy appropriate AI tools, and adapt workflow processes, capabilities, and culture.”. AI is now seemingly everywhere. MORE
Improving Direct Marketing Response with Online Advertising by Richard Becker, President of Target Analytics. E-Book #1: Fundraising and Marketing Tips for Nonprofits. MORE
In a fast changing, unpredictable economy, companies face a growing number of potential disruptions to their best laid strategies, including technology advances, global competition, and turbulent markets. MORE
The Learning Analytics and Knowledge conference (LAK16) is happening this week in Edinburgh. I have great hope for the learning analytics field as one that will provide significant research for learning and help us move past naive quantitative and qualitative assessments of research and knowledge. Would you be interested in participating in a discussion on educational analytics (process, methods, technologies)? Not everyone was a fan of the idea of learning analytics. MORE
One of the key features of deep learning algorithms is that, unlike classic analytic methods, there’s no asymptotic data size limit beyond which they stop improving. Artificial intelligence is rapidly becoming one of the most important technologies of our era. MORE
We ( SoLAR ) are organizing an online symposium on Policy and Strategy for Learning Analytics Deployment. During these activities, it has become clear that policy and strategy considerations are hindering the adoption and deployment of LA. MORE
Source Codes: The Most Useful Measurement Strategy You May Not Be Using – Guest Post by Laura Quinn. If you want more power, check out the Google URL Builder: https://support.google.com/analytics/answer/1033867?hl=en. MORE
A few weeks ago, McKinsey published The age of analytics: Competing in a data-driven world , a comprehensive report on the state of big data, and in particular, on the challenges and opportunities a company faces as it strives to become a data-driven business. MORE
The paper includes a four-step framework to help companies develop and implement their cognitive strategies: Understanding the Technologies. Artificial Intelligence Complex Systems Data Science and Big Data Innovation Management and Leadership Smart Systems Technology and Strategy MORE
The digitization of product and service offerings by adding smart sensors, communication devices, and data analytics tools to create smart digital products and smart services. Data analytics and digital trust are the foundations. “Data fuels Industry 4.0 MORE
It integrates with your social media channels and allows you pre-schedule your message, it integrates with your analytics tools so you can view your metrics, and it even connects with Google Calendar and Evernote and others. MORE
George Siemens delivered an enlightening talk contextualizing analytics, tying the need for more effective coupling in decision making with new types of data. meta-learning strategy MORE
There's a bit in there on blogging strategies, but the reality is that when I go back and look at my previous posts on what your personal strategy should be around blogging, I'm not finding that much. And one of the course members raised a really interesting question in the Forum around blogging strategies: Matthew, how has blogging changed the way you think? I have people that follow my blog; I know this from both statcounter and google analytics. MORE
These social physics patterns have been tested across a variety of applications involving people, including strategy formulation in business, economic activity in cities, and, - working with an intelligence agency, - the detection of potential terrorist activity based on Twitter data. MORE
Design thinking is now being applied to abstract entities, - e.g. systems, services, information and organizations, - as well as to devise strategies, manage change and solve complex problems. Design thinking has become an increasingly popular topic of discussion over the past decade. MORE
This fall, together with colleagues, I’ll be offering an open course on edX: Data, Analytics, and Learning. From the description: In education, the use of data and analytics to improve learning is referred to as learning analytics. Analytics have not yet made the impact on education that they have made in other fields. The era of data and analytics in learning is just beginning. MORE
What Social Media Analytics Can’t Tell You. Here’s the description: Social media analytics can help you understand the active members of your social media audience, but what about the people who aren’t posting? That’s the title of my proposed panel for SXSW 2014. MORE
I’m sure there are other analytics programs that will automatic the data jujitsu for you. Flickr Photo by Damian Devilla. Facebook recently made a change to the EdgeRank Algorithm that increased the importance of Negative Feedback. MORE
A recent Harvard Business Review article, - Designing the Machines that Will Design Strategy , - takes these questions a few steps further. Within this integrated strategy machine, people and technology must closely collaborate, with each playing the particular role they are best at. MORE
Learning analytics are increasingly relevant, and prominent, in education. Startups and established software vendors are targeting learning analytics in their product offerings for the education and training and development sector. MORE
The report is based on a survey of over 300 chief human resource officers and top strategy executives from large global companies across 12 industry sectors. Surveyed companies highlighted three main strategies to manage their skills gaps. MORE
After analyzing the survey data, - including the use of Watson Analytics to extract inferences from open-ended responses, - IBM published its findings in Redefining Boundaries: Insights from the Global C-suite Study. MORE
Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. MORE
Overall, only 41% of respondents said that their organizations’ decisions align with corporate strategy and in support of high value projects. Complex Systems Economic Issues Management and Leadership Society and Culture Technology and Strategy MORE
This past semester I was involved in an interesting course at MIT’s Sloan School of Management , - Analytics Labs (A-Lab). A-Lab’s objective is to teach students how to use data sets and analytics to address real-world business problems. MORE
This year’s Symposium will be focused on the challenges of executing a digital transformation strategy. It’s no longer enough to have formulated a digital strategy for the business. And, having a strong digital foundation gives those companies a leg up in embracing data analytics , AI , blockchain , and other advanced technologies, further widening their advantage. “The time for merely thinking digital has passed; the future belongs to the doers,” notes the Symposium’s website. MORE
The data requirements for deep learning are substantially different from those of other analytic methods in a number of dimensions. The performance of traditional analytics tends to plateau as the data set size increases. MORE
Predictive analytics will not tell you how to approach or maintain individuals within your target network. KM History Social Media Strategy From Morguefile. Why don’t companies “get” social? MORE
Business analytics predates the big data era. Beyond business analytics, new data science methods could now be used to extract actionable knowledge from all that data, that is, knowledge to help make better decisions and predictions. MORE
We talk about finding the right tool for the data collection job and tools come in three different categories: analytics tools, content analysis, and surveys. Analytics tools like the ones described below are good for measuring actions and engagement. MORE
Global operation strategies. Given these major shifts in value chains, McKinsey recommends that companies reevaluate their global operation strategies. MORE
The answer, in a nutshell, is analytics. As VP of scouting and player development in St Louis, Luhnow built a strong analytics department and enjoyed great success as one of the top talent producers in baseball, helping the Cardinals win the 2011 World Series as well as reach the playoffs from 2012 to 2015. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years. MORE
On February 24 I attended a workshop in MIT on the Future of Health Analytics. In a recent paper , Ausiello notes that health analytics has the potential to become the next frontier in medicine, driven by the confluence of three key revolutions: . MORE
George Siemens
OCTOBER 3, 2013
We ( SoLAR ) are organizing an online symposium on Policy and Strategy for Learning Analytics Deployment. During these activities, it has become clear that policy and strategy considerations are hindering the adoption and deployment of LA.
George Siemens
JUNE 6, 2014
This fall, together with colleagues, I’ll be offering an open course on edX: Data, Analytics, and Learning. From the description: In education, the use of data and analytics to improve learning is referred to as learning analytics. Analytics have not yet made the impact on education that they have made in other fields. The era of data and analytics in learning is just beginning.
George Siemens
DECEMBER 10, 2011
Learning analytics are increasingly relevant, and prominent, in education. Startups and established software vendors are targeting learning analytics in their product offerings for the education and training and development sector.
Stephen Downes: Half an Hour
MARCH 13, 2019
In my post referencing the ICDE's Global Guidelines: Ethics in Learning Analytics yesterday I said: This document summarizes the considerations of an ICDE working group on learning analytics. The presumption throughout is that a global ethic in learning analytics is needed, can be known, and comprehends the issues in this document. Definition and purpose of the use of Learning Analytics Where is data drawn from? What data must be included in learning analytics?
Irving Wladawsky-Berger
SEPTEMBER 10, 2018
These social physics patterns have been tested across a variety of applications involving people, including strategy formulation in business, economic activity in cities, and, - working with an intelligence agency, - the detection of potential terrorist activity based on Twitter data.
Irving Wladawsky-Berger
MARCH 17, 2015
On February 24 I attended a workshop in MIT on the Future of Health Analytics. In a recent paper , Ausiello notes that health analytics has the potential to become the next frontier in medicine, driven by the confluence of three key revolutions: .
Irving Wladawsky-Berger
JANUARY 29, 2018
This year’s Symposium will be focused on the challenges of executing a digital transformation strategy. It’s no longer enough to have formulated a digital strategy for the business. After working on it for several months, the strategy began to emerge.
Irving Wladawsky-Berger
JANUARY 31, 2017
Business analytics predates the big data era. Beyond business analytics, new data science methods could now be used to extract actionable knowledge from all that data, that is, knowledge to help make better decisions and predictions.
Irving Wladawsky-Berger
JULY 16, 2018
The answer, in a nutshell, is analytics. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years. For certain elements of the analytics, we had to wait and be patient.
Irving Wladawsky-Berger
JULY 16, 2018
The answer, in a nutshell, is analytics. As VP of scouting and player development in St Louis, Luhnow built a strong analytics department and enjoyed great success as one of the top talent producers in baseball, helping the Cardinals win the 2011 World Series as well as reach the playoffs from 2012 to 2015. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years.
Irving Wladawsky-Berger
JANUARY 29, 2018
This year’s Symposium will be focused on the challenges of executing a digital transformation strategy. It’s no longer enough to have formulated a digital strategy for the business. And, having a strong digital foundation gives those companies a leg up in embracing data analytics , AI , blockchain , and other advanced technologies, further widening their advantage. “The time for merely thinking digital has passed; the future belongs to the doers,” notes the Symposium’s website.
Clark Quinn
OCTOBER 14, 2008
There's a bit in there on blogging strategies, but the reality is that when I go back and look at my previous posts on what your personal strategy should be around blogging, I'm not finding that much. And one of the course members raised a really interesting question in the Forum around blogging strategies: Matthew, how has blogging changed the way you think? I have people that follow my blog; I know this from both statcounter and google analytics.
Beth Kanter
DECEMBER 9, 2014
What is important is that when you look solely at your social media analytics – say for example what content gets the most views or engagement, the data represents only one part of your audience.
Beth Kanter
OCTOBER 31, 2012
We talk about finding the right tool for the data collection job and tools come in three different categories: analytics tools, content analysis, and surveys. Analytics tools like the ones described below are good for measuring actions and engagement.
Xyleme
JUNE 13, 2014
When you think about your company''s digital learning content strategy, what''s the first thing that comes to mind? Business leaders receive meaningful and actionable learning analytics.
Beth Kanter
SEPTEMBER 5, 2013
What Social Media Analytics Can’t Tell You. Here’s the description: Social media analytics can help you understand the active members of your social media audience, but what about the people who aren’t posting? That’s the title of my proposed panel for SXSW 2014.
Beth Kanter
AUGUST 19, 2015
It integrates with your social media channels and allows you pre-schedule your message, it integrates with your analytics tools so you can view your metrics, and it even connects with Google Calendar and Evernote and others.
Beth Kanter
FEBRUARY 15, 2016
Source Codes: The Most Useful Measurement Strategy You May Not Be Using – Guest Post by Laura Quinn. If you want more power, check out the Google URL Builder: https://support.google.com/analytics/answer/1033867?hl=en.
Beth Kanter
MARCH 29, 2013
Improving Direct Marketing Response with Online Advertising by Richard Becker, President of Target Analytics. E-Book #1: Fundraising and Marketing Tips for Nonprofits.
Beth Kanter
JANUARY 10, 2013
I’m sure there are other analytics programs that will automatic the data jujitsu for you. Flickr Photo by Damian Devilla. Facebook recently made a change to the EdgeRank Algorithm that increased the importance of Negative Feedback.
Bob Sutton
NOVEMBER 21, 2011
interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Why Managing by Facts Works: Strategy+Business. Converting Strategy Into Action. Pankaj Ghemawat: Redefining Global Strategy: Crossing Borders in a World Where Differences Still Matter. May: The Shibumi Strategy: A Powerful Way to Create Meaningful Change. Phillips: Lincoln on Leadership: Executive Strategies for Tough Times.
Bob Sutton
DECEMBER 16, 2010
interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Why Managing by Facts Works: Strategy+Business. Converting Strategy Into Action. Pankaj Ghemawat: Redefining Global Strategy: Crossing Borders in a World Where Differences Still Matter. May: The Shibumi Strategy: A Powerful Way to Create Meaningful Change. Phillips: Lincoln on Leadership: Executive Strategies for Tough Times.
Clark Quinn
JUNE 6, 2012
George Siemens delivered an enlightening talk contextualizing analytics, tying the need for more effective coupling in decision making with new types of data. meta-learning strategy
Irving Wladawsky-Berger
JULY 8, 2019
Overall, only 41% of respondents said that their organizations’ decisions align with corporate strategy and in support of high value projects. Complex Systems Economic Issues Management and Leadership Society and Culture Technology and Strategy
Irving Wladawsky-Berger
DECEMBER 19, 2016
A few weeks ago, McKinsey published The age of analytics: Competing in a data-driven world , a comprehensive report on the state of big data, and in particular, on the challenges and opportunities a company faces as it strives to become a data-driven business.
Irving Wladawsky-Berger
APRIL 1, 2019
Global operation strategies. Given these major shifts in value chains, McKinsey recommends that companies reevaluate their global operation strategies.
Irving Wladawsky-Berger
FEBRUARY 11, 2019
In a fast changing, unpredictable economy, companies face a growing number of potential disruptions to their best laid strategies, including technology advances, global competition, and turbulent markets.
Irving Wladawsky-Berger
OCTOBER 1, 2018
These patterns can be used to detect emerging behavioral trends before they can be observed by other data analytics techniques. Endor’s analytics engine identified 80 Twitter accounts as potential EOIs because they were similar enough to the positive samples that the agency provided.
Martijn Linssen
AUGUST 25, 2014
Predictive analytics will not tell you how to approach or maintain individuals within your target network. KM History Social Media Strategy From Morguefile. Why don’t companies “get” social?
Irving Wladawsky-Berger
JANUARY 7, 2019
Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships.
Irving Wladawsky-Berger
DECEMBER 11, 2017
The digitization of product and service offerings by adding smart sensors, communication devices, and data analytics tools to create smart digital products and smart services. Data analytics and digital trust are the foundations. “Data fuels Industry 4.0
Irving Wladawsky-Berger
OCTOBER 4, 2016
After analyzing the survey data, - including the use of Watson Analytics to extract inferences from open-ended responses, - IBM published its findings in Redefining Boundaries: Insights from the Global C-suite Study.
Irving Wladawsky-Berger
FEBRUARY 26, 2018
The paper includes a four-step framework to help companies develop and implement their cognitive strategies: Understanding the Technologies. Artificial Intelligence Complex Systems Data Science and Big Data Innovation Management and Leadership Smart Systems Technology and Strategy
Irving Wladawsky-Berger
DECEMBER 3, 2018
The report is based on a survey of over 300 chief human resource officers and top strategy executives from large global companies across 12 industry sectors. Surveyed companies highlighted three main strategies to manage their skills gaps.
Irving Wladawsky-Berger
SEPTEMBER 3, 2018
The data requirements for deep learning are substantially different from those of other analytic methods in a number of dimensions. The performance of traditional analytics tends to plateau as the data set size increases.
Irving Wladawsky-Berger
JULY 23, 2018
One of the key features of deep learning algorithms is that, unlike classic analytic methods, there’s no asymptotic data size limit beyond which they stop improving. Artificial intelligence is rapidly becoming one of the most important technologies of our era.
Irving Wladawsky-Berger
OCTOBER 31, 2016
Design thinking is now being applied to abstract entities, - e.g. systems, services, information and organizations, - as well as to devise strategies, manage change and solve complex problems. Design thinking has become an increasingly popular topic of discussion over the past decade.
Irving Wladawsky-Berger
DECEMBER 29, 2015
This past semester I was involved in an interesting course at MIT’s Sloan School of Management , - Analytics Labs (A-Lab). A-Lab’s objective is to teach students how to use data sets and analytics to address real-world business problems.
Irving Wladawsky-Berger
MAY 17, 2016
A recent Harvard Business Review article, - Designing the Machines that Will Design Strategy , - takes these questions a few steps further. Within this integrated strategy machine, people and technology must closely collaborate, with each playing the particular role they are best at.
Irving Wladawsky-Berger
SEPTEMBER 11, 2017
A successful program requires firms to address many elements of a digital and analytics transformation: identify the business case, set up the right data ecosystem, build or buy appropriate AI tools, and adapt workflow processes, capabilities, and culture.”. AI is now seemingly everywhere.
Irving Wladawsky-Berger
SEPTEMBER 19, 2016
Others include biometrics, cloud computing, cognitive computing, machine learning and predictive analytics.
Irving Wladawsky-Berger
OCTOBER 30, 2013
my fellow guest columnist Tom Davenport reflected on whether institutions should appoint a dedicated executive to oversee their company-wide big data and analytics initiatives, and if so, which C-level senior executives should such a position report to.
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