Big Data, why Big?
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Big Data, why Big?
Big data, the new fuel for future competitive advantage
Curated by ValerieMalaval
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Why does L&D fail to get MOOCs?

Why does L&D fail to get MOOCs? | Big Data, why Big? | Scoop.it
MOOCs are a classic case of shiny thing syndrome.

This wouldn’t matter if this were the latest fad internal to L&D – a methodology or technology of interest to nobody else. But MOOCs are something people are actually using, and widely. In my conversations internationally with those running L&D departments, I hear very little about the use of MOOCs, while clearly the employees in those organisations are using them in growing numbers.

Sooner or later an L&D department is going to have to explain to an enthusiastic employee, manager or executive why it's not making MOOCs available as part of the regular learning portfolio. A poor answer will lay L&D open to three dangerous challenges:

Via Peter Mellow
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Can MOOCs Help You To Retrain If You Lose Your Job?

Can MOOCs Help You To Retrain If You Lose Your Job? | Big Data, why Big? | Scoop.it
As Coursera launch a new business offering, could MOOCs be invaluable in helping the unemployed find their way back into the job market?

Via Peter Mellow
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The need to lead in data and analytics | McKinsey & Company

The need to lead in data and analytics | McKinsey & Company | Big Data, why Big? | Scoop.it
In a new survey, executives say senior-leader involvement and the right organizational structure are critical factors in how successful a company’s analytics efforts are, even more important than its technical capabilities or tools.
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Rescooped by ValerieMalaval from Social Business and Digital Transformation
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From touchpoints to journeys: Seeing the world as customers do | McKinsey & Company

From touchpoints to journeys: Seeing the world as customers do | McKinsey & Company | Big Data, why Big? | Scoop.it
To maximize customer satisfaction, companies have long emphasized touchpoints. But doing so can divert attention from the more important issue: the customer’s end-to-end journey.

Via A.Busetti
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Rescooped by ValerieMalaval from I can explain it to you, but I can't understand it for you.
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Big Data is Entering the Trough of Disillusionment - DZone Big Data

Big Data is Entering the Trough of Disillusionment - DZone Big Data | Big Data, why Big? | Scoop.it

Ravi Kalakota provides insight into what lies ahead for Big Data, as the hype begins to fade.


Via Riaz Khan
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Marketers Are Changing Their Approach to Measuring Customer Experience

Marketers Are Changing Their Approach to Measuring Customer Experience | Big Data, why Big? | Scoop.it

A new report by the CMO Council finds that marketers are using metrics tied to business outcomes, not clicks or views, to measure customer experience.

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What is blockchain and what does it have to do with the Internet of Things? | The Big Data Hub

What is blockchain and what does it have to do with the Internet of Things? | The Big Data Hub | Big Data, why Big? | Scoop.it

What is blockchain? Blockchain is garnering more and more attention as a way to make sure the IoT is ready for its ongoing evolution.

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Rescooped by ValerieMalaval from Leadership Think Tank
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The Most Important Design Jobs Of The Future

The Most Important Design Jobs Of The Future | Big Data, why Big? | Scoop.it
Design leaders at Google, Microsoft, Autodesk, Ideo, Artefact, Teague, Lunar, Huge, New Deal, and fuseproject predict 18 new design jobs.

Via Ana Cristina Pratas, Aki Puustinen
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Rescooped by ValerieMalaval from CultureRP
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Le data scientist est-il l’avenir de l’Intelligence Economique ?

Le data scientist est-il l’avenir de l’Intelligence Economique ? | Big Data, why Big? | Scoop.it

Culture RP a rencontré Xavier Méhaut, Consultant indépendant en architecture logicielle web, BigData, ingénieur en informatique. Il a complété par la suite sa formation par un DEA en robotique et en imagerie industrielle, un mastère en génie logiciel et temps réel, puis dernièrement par un MBA en stratégie d’entreprise et en intelligence économique.

 Quelle est votre définition de la Data Science ? La Data Science ou Science des données est «une nouvelle discipline qui s’appuie sur des outils mathématiques, de statistiques, d’informatique et de visualisation des données» dont le but premier est l’extraction de connaissances à partir de données brutes.

Utiliser les données brutes pour en extraire de l’information n’est pas une idée neuve ; le décisionnel (BI, Business Intelligence) via les DatawareHouse (entrepôts de données), leData mining, les cubes multidimensionnels OLAP, et les outils de reporting le fait depuis des années.

Néanmoins, le décisionnel est généralement l’apanage des DSI, et est peu usité en dehors du contexte de l’entreprise. Il est à noter par ailleurs qu’il y a tout un spectre de données qui est aujourd’hui peu valorisé ; je citerai pêle-mêle le traitement des logs, des emails, des documents (words, PDF,..), l’analyse des sources de données extérieures (banques de données financières, météo, trafic, …), etc… Toutes ces sources de données rassemblées concourent à créer de l’information à plus forte valeur ajoutée que celle aujourd’hui traitée par le décisionnel.

La Data Science a pour terrain de jeu le monde entier et non seulement l’entreprise.

 

Elle a comme matière première non plus seulement les données structurées de l’entreprise, mais tout type de données et de toute provenance. L’avènement de techniques de traitement rapide de grands volumes de données à des coûts raisonnables a permis l’émergence de ce que l’on nomme aujourd’hui le BigData, c’est à dire le traitement en volume, en rapidité, et en diversité des données brutes, et a contribué à la mise sur le devant de la scène de la Data Science, discipline dont le fer de lance est aujourd’hui le Machine Learning, ou encore appelé l’apprentissage automatique. Le challenge auquel s’attaque le Machine Learning est d’extraire des corrélations entre des informations de structure, de provenance et de granularités différentes. Pour ce faire, l’apprentissage automatique utilise tout un arsenal mathématique (statistiques, probabilités, espaces vectoriels, …) pour étudier de manière systématique et exhaustive les données, et non plus procéder par échantillonnage statistique comme par le passé.

 

 


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30 Can’t miss Harvard Business Review articles on Data Science, Big Data and Analytics

30 Can’t miss Harvard Business Review articles on Data Science, Big Data and Analytics | Big Data, why Big? | Scoop.it
RT @SameerKhan: 30 Can’t miss Harvard Business Review articles on #DataScience, #BigData and Analytics http://t.co/CUQQU1Ta8u http://t.co/…;

Via Fred Zimny
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Five reasons your customer experience initiative is going to fail

Five reasons your customer experience initiative is going to fail | Big Data, why Big? | Scoop.it
With apologies for the inflammatory headline, marketing is fooling itself about customer experience.
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Rescooped by ValerieMalaval from Big Data, IoT and other stuffs
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CEOs Not Seeing Big Picture On 'Big Data'

CEOs Not Seeing Big Picture On 'Big Data' | Big Data, why Big? | Scoop.it
Nearly half of CEOs believe that all of their employees have access to the data they need, but only 27% of employees agree.

Via AnalyticsInnovations, Toni Sánchez
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Rescooped by ValerieMalaval from Business Improvement and Social media
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How AI is revolutionizing customer experience and expectations 

How AI is revolutionizing customer experience and expectations  | Big Data, why Big? | Scoop.it
By 2020, customer experience is going to be wiping the floor with price and product as the key brand differentiators. Customers are seeking personalized, human experiences — and ironically, artificial intelligence is the key to nailing that, and at scale. Catch up on this VB Live event for in-depth insight into what brands need to drive customer loyalty in 2017.

Via Alama, Fred Zimny, Ricard Lloria
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Samuel Pavin's curator insight, November 15, 3:28 AM
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Rescooped by ValerieMalaval from Business Improvement and Social media
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Implementing Digital Architecture 

Implementing Digital Architecture  | Big Data, why Big? | Scoop.it
“You’ve got to start with the customer experience and work backwards to the technology. It starts with what incredible benefits can we give to the customer. Where can we take the customer?” Steve Jobs Consumerization and the evolution of customer behavior is forcing companies to change how they market, engage, sell and retain business.

Via zendreamer, Fred Zimny, Ricard Lloria
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Big Data and Predictive Analytics: A Big Deal, Indeed | ABA Banking Journal

Big Data and Predictive Analytics: A Big Deal, Indeed | ABA Banking Journal | Big Data, why Big? | Scoop.it
ABA Banking Journal, the American Bankers Association’s flagship magazine, provides insights on critical business and policy challenges and trends to help banking leaders succeed in the competitive financial services market.
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Accelerating growth - The EY 7 Drivers of Growth

Accelerating growth - The EY 7 Drivers of Growth | Big Data, why Big? | Scoop.it
We’ve discovered that the fastest-growing organizations support their growth strategies by aligning their capabilities across all 7 Drivers, prioritizing their actions according to growth ambitions. This broader perspective helps them to reduce the volatility usually associated with rapid growth and to ensure their growth is sustainable.

We use the EY 7 Drivers of Growth, and our insights from working with the world’s leading companies, to help leaders of aspiring companies think differently about the enablers of growth. Looking at these drivers can help business leaders assess where they are today and to plan a path for the future to realize their growth ambitions.

Via David Hain, Ricard Lloria
ValerieMalaval's insight:

Breadth of perspective + alignment = more likely growth, says EY. Useful resource.

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ismokuhanen's curator insight, March 27, 4:28 PM

Breadth of perspective + alignment = more likely growth, says EY. Useful resource.

Frederico Neiva's curator insight, March 31, 8:07 AM

Breadth of perspective + alignment = more likely growth, says EY. Useful resource.

Nevermore Sithole's curator insight, April 1, 9:33 AM

Breadth of perspective + alignment = more likely growth, says EY. Useful resource.

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Analytics Trends 2016 | Deloitte US | Deloitte Analytics

Analytics Trends 2016 | Deloitte US | Deloitte Analytics | Big Data, why Big? | Scoop.it

This year, we took stock of a mix of familiar topics that continue to evolve and shape analytics strategy, plus some that are new.

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AI, Machine Learning Rising In The Enterprise - InformationWeek

AI, Machine Learning Rising In The Enterprise - InformationWeek | Big Data, why Big? | Scoop.it

AI and machine learning are graduating from science fiction to reality. It's estimated that about half of large enterprises are currently experimenting with AI projects.

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Ford and IBM partner to accelerate big data use in vehicles

Ford and IBM partner to accelerate big data use in vehicles | Big Data, why Big? | Scoop.it

Car maker also speeding up research into autonomous systems and driver-aiding wearables,Gadgets,Components,Cloud Computing,Business Software,Developer,Strategy ,IBM,Ford,Big Data,Analytics,Internet of Things,Wearables,Cars,Artificial Intelligence...

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Google ne travaille pas uniquement avec les "big pharma" ... Ford et Google bientôt associés sur les voitures autonomes ?

Google ne travaille pas uniquement avec les "big pharma" ... Ford et Google bientôt associés sur les voitures autonomes ? | Big Data, why Big? | Scoop.it
Mobilité : Au prochain CES de Las Vegas, Google pourrait annoncer avec le constructeur automobile Ford la création conjointe d'une entreprise pour construire des

Via Jerome Leleu
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Blockchain une technologie émergente pour des usages en communs?

Blockchain une technologie émergente pour des usages en communs? | Big Data, why Big? | Scoop.it
Nous avons récemment eu une discussion sur la liste de diffusion du collectif à propos de Blockchain (ou chaîne de blocs). Il nous a semblé important de vous présenter quelques éléments sur le site. Cette technologie très puissante est importante à comprendre parce qu’elle pourrait s’immiscer dans bien des domaines de notre quotidien à l’avenir.

Via Antoine VS
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Is this the future of the Internet of Things?

Is this the future of the Internet of Things? | Big Data, why Big? | Scoop.it
Our homes, vehicles and cities may soon evolve to become interconnected and intelligent, responding to our needs before we even become aware of them.

Via Fred Zimny
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Michael Plishka's curator insight, December 7, 2015 10:55 PM

Connected Devices is one of the places to be

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The 10 Secrets To Disrupting Digital Business From @rwang0 @harvardbiz

We’re standing at the dawn of a digital business revolution. In fact, we barely realize it. As with the beginning of every revolution, those in the midst of it…

Via Fred Zimny
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Gartner Predicts Three Big Data Trends for Business Intelligence - Forbes

Gartner Predicts Three Big Data Trends for Business Intelligence - Forbes | Big Data, why Big? | Scoop.it
By Doug Laney Gartner, Inc. Big data has given businesses a window into valuable streams of information from customer purchasing habits to inventory status.
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