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Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI & Big Data guru.
He helps companies to better manage, measure, report and analyse performance. His leading-edge work with major companies, organisations and governments across the globe makes him an acclaimed and award-winning keynote speaker, researcher, consultant and teacher. Bernard is acknowledged by the CEO Journal as one of today's leading business brains.
He has written a number of seminal books and over 200 high profile reports and articles on enterprise performance. This includes the best-sellers 'Key Performance Indicators', 'The Intelligent Company', 'More with Less', 'Managing and Delivering Performance' and 'Strategic Performance Management', a number of Gartner Reports and the world's largest research studies on the topic. His expert comments regularly feature in high-profile publications including The Times, The Financial Times, Financial Management, the CFO Magazine and the Wall Street Journal.
He has worked with and advised many of the world's best-known organisations including Accenture, Astra Zeneca, Bank of England, Barclays, BP, DHL, Fujitsu, Gartner, HSBC, Mars, Ministry of Defence, Microsoft, Oracle, The Home Office, NHS, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP and Shell, among many others.
He currently focuses on helping clients to:
- create strategic performance frameworks
- develop relevant and meaningful KPIs and metrics
- develop business analytics and 'big data' strategies
- develop management dashboards and reporting solutions
- train and coach teams to become 'high performance organisations'
- align people management practices with strategic performance objectives
- understand the emerging trends of big data analytics
His engagements range from executive awareness and training sessions to the design and implementation of corporate performance management and reporting approaches. Bernard can be contacted at bernard.marr@ap-institute.com
BOOKS BY BERNARD MARR amzn.to/2dqqCbT
Dark Data, a subset of Big Data has been finding its way into the spotlight.
We live in the midst of an atmosphere of numinous, yet docile data revolution. Our bromides about big data say a lot about our penchant for it. A single, personal object like the smartphone epitomizes the synthesis of...
Presented by O’Reilly and Cloudera, Strata + Hadoop World focuses on how to put big data, cutting-edge data science, and new business fundamentals to work.
Pegar no sono e relaxar pode ser um desafio as vezes. E uma boa noite de sono pode fazer muito por você. Para chegar lá, o mais importante para conseguir dormir bem é se desligar e relaxar. Alguns hábitos simples podem ajudar e muito você conseguir colocar a cabeça no travesseiro e apagar. Aqui v...
Continue lendo em : 15 dicas para você pegar no sono e relaxar
#Bigdata, #NoiteDeSono, #PegarNoSono, #Rais, #Raisdata, #Saúde, #Sonhar, #Sono
Blog Rais - Viva Saudável
Áreas: #HábitosSaudáveis
Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI & Big Data guru.
He helps companies to better manage, measure, report and analyse performance. His leading-edge work with major companies, organisations and governments across the globe makes him an acclaimed and award-winning keynote speaker, researcher, consultant and teacher. Bernard is acknowledged by the CEO Journal as one of today's leading business brains.
He has written a number of seminal books and over 200 high profile reports and articles on enterprise performance. This includes the best-sellers 'Key Performance Indicators', 'The Intelligent Company', 'More with Less', 'Managing and Delivering Performance' and 'Strategic Performance Management', a number of Gartner Reports and the world's largest research studies on the topic. His expert comments regularly feature in high-profile publications including The Times, The Financial Times, Financial Management, the CFO Magazine and the Wall Street Journal.
He has worked with and advised many of the world's best-known organisations including Accenture, Astra Zeneca, Bank of England, Barclays, BP, DHL, Fujitsu, Gartner, HSBC, Mars, Ministry of Defence, Microsoft, Oracle, The Home Office, NHS, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP and Shell, among many others.
He currently focuses on helping clients to:
- create strategic performance frameworks
- develop relevant and meaningful KPIs and metrics
- develop business analytics and 'big data' strategies
- develop management dashboards and reporting solutions
- train and coach teams to become 'high performance organisations'
- align people management practices with strategic performance objectives
- understand the emerging trends of big data analytics
His engagements range from executive awareness and training sessions to the design and implementation of corporate performance management and reporting approaches. Bernard can be contacted at bernard.marr@ap-institute.com
BOOKS BY BERNARD MARR amzn.to/2dqqCbT
Presented by O’Reilly and Cloudera, Strata + Hadoop World focuses on how to put big data, cutting-edge data science, and new business fundamentals to work.
This is a slice from an infographic by GetSatisfaction that looks at how much data is harvested by different industries, and how much that data may be worth.
Big data, measurement and analyticcs
Jose Luis Cordoba
Ultan O'Brian
Mirko Lalli
BTO 2014
2 e 3 dicembre, a Firenze in Fortezza da Basso
Day TWO | Emirates Hall [VISIONI] | 9.20 - 10.10
Author: Francesco Mauro
Copyright: TheDarkroom/Francesco Mauro
www.buytourismonline.com/eventi/big-data/
I Big Data sono diventati da un po’ un argomento mainstream.
E spesso sono dipinti come una sorta di panacea che promette di risolvere tutti i problemi in molti settori, turismo compreso.
Solo che nel settore travel, i big data sono davvero strategici: sono utili per capire le tendenze, ottimizzare il marketing, decidere dove destinare risorse e tempo.
In questo panel prendiamo in considerazione due casi molto concreti.
Boxever, che utilizza in chiave big data tutto quello che le persone lasciano in rete mentre prenotano un volo o una vacanza e li usa per ottimizzare il processo di vendita e soprattutto conoscere meglio i propri clienti.
Andalucia Lab è un esempio di un territorio che utilizza i big data per ottimizzare marketing e comunicazione, analizzando quello che emerge anche per decidere dove destinare il proprio budget a sostegno della Destinazione Andalusia.
Since its stunning victory on Jeopardy! a year ago, IBM’s Watson computing system has been put to work in healthcare and financial services. But the real-world possibilities are endless.
asmarterplanet.com/blog/2012/02/how-watson-can-work.html
Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI & Big Data guru.
He helps companies to better manage, measure, report and analyse performance. His leading-edge work with major companies, organisations and governments across the globe makes him an acclaimed and award-winning keynote speaker, researcher, consultant and teacher. Bernard is acknowledged by the CEO Journal as one of today's leading business brains.
He has written a number of seminal books and over 200 high profile reports and articles on enterprise performance. This includes the best-sellers 'Key Performance Indicators', 'The Intelligent Company', 'More with Less', 'Managing and Delivering Performance' and 'Strategic Performance Management', a number of Gartner Reports and the world's largest research studies on the topic. His expert comments regularly feature in high-profile publications including The Times, The Financial Times, Financial Management, the CFO Magazine and the Wall Street Journal.
He has worked with and advised many of the world's best-known organisations including Accenture, Astra Zeneca, Bank of England, Barclays, BP, DHL, Fujitsu, Gartner, HSBC, Mars, Ministry of Defence, Microsoft, Oracle, The Home Office, NHS, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP and Shell, among many others.
He currently focuses on helping clients to:
- create strategic performance frameworks
- develop relevant and meaningful KPIs and metrics
- develop business analytics and 'big data' strategies
- develop management dashboards and reporting solutions
- train and coach teams to become 'high performance organisations'
- align people management practices with strategic performance objectives
- understand the emerging trends of big data analytics
His engagements range from executive awareness and training sessions to the design and implementation of corporate performance management and reporting approaches. Bernard can be contacted at bernard.marr@ap-institute.com
BOOKS BY BERNARD MARR amzn.to/2dqqCbT
From: www.connectedaction.net
Link: www.flickr.com/photos/marc_smith/6792756018/sizes/l/
Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=447
These are the connections among the Twitter users who recently tweeted the word bigdata when queried on February 27, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/26/2012 2:56 and ends on 2/27/2012 22:25 UTC. Green lines are "follows" relationships, blue lines are "reply" or "mentions" relationships.
Layout created with the "Group Layout" feature of NodeXL which tiles bounded regions for each cluster. The Harel-Koren layout algorithm positioned each vertex: en.wikipedia.org/wiki/Force-based_algorithms_(graph_drawing).
Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color. Clauset-Newman-Moore algorithm is defined here: pre.aps.org/abstract/PRE/v70/i6/e066111
A larger version of the image is here: www.flickr.com/photos/marc_smith/6792756018/sizes/l/
Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality
Top most between users:
@rwang0
@strataconf
@emccorp
@dhinchcliffe
@cloudexpo
@ibmbigdata
@bigdata
@jameskobielus
@thecloudnetwork
@attritionorg
Top word pairs by frequency of mention
V1, V2, WEIGHT
#cloudexpo, #cloudcomputing, 559
#cloudcomputing, #bigdata, 511
#cloud, #cloudexpo, 483
#bigdata, @cloudexpo, 343
@ulitzer, #cloud, 342
big, data, 275
@cloudexpo, @bigdataexpo, 170
@ulitzer, #cloudexpo, 87
#cloudexpo, #bigdata, 47
ups, fronts, 44
fronts, working, 44
working, capital, 44
commerce, merchants, 44
adoption, issues, 43
#bigdata, #analytics, 42
big, deal, 40
dimension, data, 39
data, #cloud, 39
#cloud, services, 39
new, york, 38
Graph Metric, Value
Graph Type, Directed
Vertices, 824
Unique Edges, 6978
Edges With Duplicates, 1697
Total Edges, 8675
Self-Loops, 755
Connected Components, 63
Single-Vertex Connected Components, 57
Maximum Vertices in a Connected Component, 757
Maximum Edges in a Connected Component, 8594
Maximum Geodesic Distance (Diameter), 11
Average Geodesic Distance, 3.118791
Graph Density, 0.010373781
Modularity, 0.309689
NodeXL Version, 1.0.1.201
More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:
www.nodexlgraphgallery.org/Pages/Default.aspx
A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter
NodeXL is free and open and available from www.codeplex.com/nodexl
NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.
Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...
The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.
Marc Smith on Twitter.
Big data, measurement and analyticcs
Jose Luis Cordoba
Ultan O'Brian
Mirko Lalli
BTO 2014
2 e 3 dicembre, a Firenze in Fortezza da Basso
Day TWO | Emirates Hall [VISIONI] | 9.20 - 10.10
Author: Francesco Mauro
Copyright: TheDarkroom/Francesco Mauro
www.buytourismonline.com/eventi/big-data/
I Big Data sono diventati da un po’ un argomento mainstream.
E spesso sono dipinti come una sorta di panacea che promette di risolvere tutti i problemi in molti settori, turismo compreso.
Solo che nel settore travel, i big data sono davvero strategici: sono utili per capire le tendenze, ottimizzare il marketing, decidere dove destinare risorse e tempo.
In questo panel prendiamo in considerazione due casi molto concreti.
Boxever, che utilizza in chiave big data tutto quello che le persone lasciano in rete mentre prenotano un volo o una vacanza e li usa per ottimizzare il processo di vendita e soprattutto conoscere meglio i propri clienti.
Andalucia Lab è un esempio di un territorio che utilizza i big data per ottimizzare marketing e comunicazione, analizzando quello che emerge anche per decidere dove destinare il proprio budget a sostegno della Destinazione Andalusia.
Bernard Marr is a bestselling author, keynote speaker, strategic performance consultant, and analytics, KPI & Big Data guru.
He helps companies to better manage, measure, report and analyse performance. His leading-edge work with major companies, organisations and governments across the globe makes him an acclaimed and award-winning keynote speaker, researcher, consultant and teacher. Bernard is acknowledged by the CEO Journal as one of today's leading business brains.
He has written a number of seminal books and over 200 high profile reports and articles on enterprise performance. This includes the best-sellers 'Key Performance Indicators', 'The Intelligent Company', 'More with Less', 'Managing and Delivering Performance' and 'Strategic Performance Management', a number of Gartner Reports and the world's largest research studies on the topic. His expert comments regularly feature in high-profile publications including The Times, The Financial Times, Financial Management, the CFO Magazine and the Wall Street Journal.
He has worked with and advised many of the world's best-known organisations including Accenture, Astra Zeneca, Bank of England, Barclays, BP, DHL, Fujitsu, Gartner, HSBC, Mars, Ministry of Defence, Microsoft, Oracle, The Home Office, NHS, Orange, Tetley, T-Mobile, Toyota, Royal Air Force, SAP and Shell, among many others.
He currently focuses on helping clients to:
- create strategic performance frameworks
- develop relevant and meaningful KPIs and metrics
- develop business analytics and 'big data' strategies
- develop management dashboards and reporting solutions
- train and coach teams to become 'high performance organisations'
- align people management practices with strategic performance objectives
- understand the emerging trends of big data analytics
His engagements range from executive awareness and training sessions to the design and implementation of corporate performance management and reporting approaches. Bernard can be contacted at bernard.marr@ap-institute.com
BOOKS BY BERNARD MARR amzn.to/2dqqCbT
Big data, measurement and analyticcs
Jose Luis Cordoba
Ultan O'Brian
Mirko Lalli
BTO 2014
2 e 3 dicembre, a Firenze in Fortezza da Basso
Day TWO | Emirates Hall [VISIONI] | 9.20 - 10.10
Author: Francesco Mauro
Copyright: TheDarkroom/Francesco Mauro
www.buytourismonline.com/eventi/big-data/
I Big Data sono diventati da un po’ un argomento mainstream.
E spesso sono dipinti come una sorta di panacea che promette di risolvere tutti i problemi in molti settori, turismo compreso.
Solo che nel settore travel, i big data sono davvero strategici: sono utili per capire le tendenze, ottimizzare il marketing, decidere dove destinare risorse e tempo.
In questo panel prendiamo in considerazione due casi molto concreti.
Boxever, che utilizza in chiave big data tutto quello che le persone lasciano in rete mentre prenotano un volo o una vacanza e li usa per ottimizzare il processo di vendita e soprattutto conoscere meglio i propri clienti.
Andalucia Lab è un esempio di un territorio che utilizza i big data per ottimizzare marketing e comunicazione, analizzando quello che emerge anche per decidere dove destinare il proprio budget a sostegno della Destinazione Andalusia.
From: www.connectedaction.net
Data set: nodexlgraphgallery.org/Pages/Graph.aspx?graphID=447
These are the most between Twitter users who recently tweeted the word bigdata when queried on February 27, 2012, scaled by numbers of followers (with outliers thresholded). Connections created when users reply, mention or follow one another. The data set starts on 2/26/2012 2:56 and ends on 2/27/2012 22:25 UTC.
A visualization of the network is here: www.flickr.com/photos/marc_smith/6792756018/sizes/l/
Betweenness Centrality is defined here: en.Wikipedia.org/wiki/Centrality#Betweenness_centrality
Top most between users:
@rwang0
@strataconf
@emccorp
@dhinchcliffe
@cloudexpo
@ibmbigdata
@bigdata
@jameskobielus
@thecloudnetwork
@attritionorg
Top word pairs by frequency of mention
V1, V2, WEIGHT
#cloudexpo, #cloudcomputing, 559
#cloudcomputing, #bigdata, 511
#cloud, #cloudexpo, 483
#bigdata, @cloudexpo, 343
@ulitzer, #cloud, 342
big, data, 275
@cloudexpo, @bigdataexpo, 170
@ulitzer, #cloudexpo, 87
#cloudexpo, #bigdata, 47
ups, fronts, 44
fronts, working, 44
working, capital, 44
commerce, merchants, 44
adoption, issues, 43
#bigdata, #analytics, 42
big, deal, 40
dimension, data, 39
data, #cloud, 39
#cloud, services, 39
new, york, 38
Graph Metric, Value
Graph Type, Directed
Vertices, 824
Unique Edges, 6978
Edges With Duplicates, 1697
Total Edges, 8675
Self-Loops, 755
Connected Components, 63
Single-Vertex Connected Components, 57
Maximum Vertices in a Connected Component, 757
Maximum Edges in a Connected Component, 8594
Maximum Geodesic Distance (Diameter), 11
Average Geodesic Distance, 3.118791
Graph Density, 0.010373781
Modularity, 0.309689
NodeXL Version, 1.0.1.201
More NodeXL network visualizations are here: www.flickr.com/photos/marc_smith/sets/72157622437066929/ and here:
www.nodexlgraphgallery.org/Pages/Default.aspx
A gallery of NodeXL network data sets is available here: nodexlgraphgallery.org/Pages/Default.aspx?search=twitter
NodeXL is free and open and available from www.codeplex.com/nodexl
NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) - which is dedicated to open tools, open data, and open scholarship.
Donations to support NodeXL are welcome through PayPal: www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_bu...
The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.
Marc Smith on Twitter.
We launched our £5 million Economic and Social Research Council human rights and big data project on 2 March 2016 at the British Academy in London. Ambassador Eileen Donahoe, of Human Rights Watch, joined principal investigators Professor Lorna McGregor and Professor Maurice Sunkin, at the event.
I've been so busy thinking about open education I missed how the Toronto waterfront was auctioned off in a private-public partnership to create a SMART city. As Evgeny Morozov says, SMART should be an acronym for Surveillance Marketed As Revolutionary Technology. It really means pervasive, constant surveillance, collecting all the data without any agreements of HOW the data will be used or discussion of WHO owns the data, the intellectual property, the copyright. Information is valuable and tech companies without regulation are collecting as much information as possible, with the hopes that data will be useful later. Natasha says RAW data is an oxymoron and saying things like, "DATA is the NEW OIL" removes an important consideration: THE PEOPLE. This data would not exist without the citizens, what is the responsibility of government to ensure that we don't become data cows, all movements and behaviours measured as a commodity to be monetized in some way without any consent on our parts. While we seemingly give up this consent with our cell phones, once this technology shifts to all the time, everywhere in our environment, there can be no opting out. Ostensibly designed for the tourist and white collar worker, who gets left out. This technology is already being used to keep "unwanted populations" away, making our most marginalized even more precarious. The only small ray of hope is that no decisions have officially been made in Toronto. The Waterfront Toronto organization expertise is creating public-partnernships. They have no data governance experts/ intellectual property lawyers...and they should. Read more from Natasha here: theconversation.com/quayside-toronto-project-proves-that-...
CIAT-hosted workshop on REDD+.
Credit: ©2011CIAT/NeilPalmer
Please credit accordingly and leave a comment when you use a CIAT photo.
For more info: ciat-comunicaciones@cgiar.org
Encuentro y diálogo entre diferentes organizaciones que trabajan con los datos masivos para compartir experiencias y retos, en el marco de las actividades del programa Ojo al data. Cultura, economía y política de los datos.
medialab-prado.es/article/losretosdelbigdatacompartirexpe...