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I Predict le moteur de marketing prédictif

http://i-predict.fr/project/presentation-de-i-predict?affiliates=2 Une innovation unique pour le marketing. Hyper-personnalisation et prédicitf pour l'acquisition de nouveaux clients, la fidélisa...
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De la connaissance client au marketing prédictif

Récupérer le support de conférence : http://bit.ly/1dAjOwP Retrouvez nos conférences en live sur : http://ecommerce-live.net La principale difficulté inhéren...
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Insights about Sales, Marketing, Predictive Analytics…and Insights ...

Insights about Sales, Marketing, Predictive Analytics…and Insights ... | EVALIR Big data | Scoop.it
Welcome to the SalesPredict blog! SalesPredict is a company that cares about insights. Our predictive analytics solution helps B2B companies uncover new insights in their CRM and marketing automation data–overlooked ...
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Singular raises $5M from General Catalyst to simplify mobile marketing - VentureBeat

Singular raises $5M from General Catalyst to simplify mobile marketing - VentureBeat | EVALIR Big data | Scoop.it
VentureBeat
Singular raises $5M from General Catalyst to simplify mobile marketing
VentureBeat
Workflow management, analytics, and predictive tools are all located in a single dashboard — hence the name.
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Six Steps to Predictive Marketing Prowess - Gartner | #TheMarketingTechAlert

Six Steps to Predictive Marketing Prowess - Gartner | #TheMarketingTechAlert | EVALIR Big data | Scoop.it

Advanced/ Excerpt...

 

The Adobe team, led by John Bates, presented a great five-step PA process. It applies to any solution, of course, not just Adobe’s. My own paraphrase (with an added step 2) is:

Worry – Scope the question: What crazy thing did you notice; what isn’t working; what do you want to improve?Collect & Clean – Build a coherent, normalized, clean profile for each “person” (could be anonymous or known), based on whatever data you have.Explore – Poke into the data set with an open mind and a spirit of adventure; uncover attributes that are related but unexpected (i.e., not “I-knew-that” but “no, really?!”)Group – Find groups of profiles that act alike with respect to key dimensions, perhaps from step (3).These are not predefined segments but groups of profiles/people that emerge from the algorithms; studying these groups (or “clusters”) can point toward unexpected insights.Predict – Finally! Note everything that goes before you leap into the crystal ball. Taking the groups from step (4), try some models to predict their likelihood to do (or not do) X, Y, or Z – whatever it is you care about (like buy, or opt-in).Do Something – Execute the test, offer, campaign, or whatever, against the groups more-likely-to (or less-likely-to, in the case of something bad, like default).

There’s a lot more to say on this topic, of course. (This book by NYU’s Fostor Provost & Tom Fawcett is a great place to start.) In the meantime, I have a prediction of my own (90% confidence): By this time next year, predictive analytics will be as common in leading digital marketing organizations as testing and optimization.

 

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marketingIO's curator insight, April 2, 2014 3:56 PM

You're seeing predictive not as a state of mind, but as a feature set to MAS. Once in your MAS, it's a matter of execution assuming you have sufficient data.

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(CAT) - memoQ: stopwords for term extraction | Kevin Lossner

(CAT) - memoQ: stopwords for term extraction | Kevin Lossner | EVALIR Big data | Scoop.it

"The recent Kilgray blog post about the "terminology as a service" (TaaS) project reminded me of the considerable unfinished business with the term extraction extraction module introduced three years ago with memoQ 5.0. It's a very useful feature that I apply frequently to my projects, and my prediction years ago that it would not replace SDL's MultiTerm Extract in my workflows was wrong. Overall it proved to be more convenient, and after the shock of discovering that the defective logic of MultiTerm Extract created new German "words" that neither existed nor were in my text sources, I dumped that dodgy tool and stuck to memoQ's extractor. But sometimes its rough edges are irritating, and I wish Kilgray would finally pick up the ball that was ..."


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Inspire 2014 -- AAA: Target Marketing with Predictive and Geo-spatial Analytics

AAA's goal is to provide the highest degree of customer service to its members. As such, great effort is placed on developing intelligence to ensure the appr...
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Predictive Lead Scoring Lattice Customer Success Stories

Converting leads into revenue shouldn't be a guessing game. With Lattice Predictive Lead Scoring, leading tech companies like Mindjet, DocuSign and Juniper N...
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Big data: point de vue de VirtualScale

Big data: point de vue de VirtualScale | EVALIR Big data | Scoop.it
Le BigData fait partie des priorités du gouvernement dans le cadre de la « nouvelle France industrielle.
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Aupera by Aureus Analytics

Aupera by Aureus Analytics | EVALIR Big data | Scoop.it
Visualisation of data, predictive intelligence using real time data is the way of the future. http://t.co/aIavbPFLWn
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Chip wars are back: IBM invests $3B to improve chips in cloud and Big Data systems - SiliconANGLE

Chip wars are back: IBM invests $3B to improve chips in cloud and Big Data systems - SiliconANGLE | EVALIR Big data | Scoop.it
Cloud and Big Data applications are challenging today’s systems, and the underlying chip...

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Forget orange; for Netflix, Big Data is the new black

Forget orange; for Netflix, Big Data is the new black | EVALIR Big data | Scoop.it
Justin Ward, manager of the data science team at the online streaming service describes the big data environment that enables it to deliver new shows successfully to an increasingly international audience.

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3 challenges en RH qui peuvent être résolus par le Big Data (ENG sub) - YouTube

Yves Loiseau, Business Manager France at Textkernel, explains that Big Data can solve three main challenges Human Resources currently face or will face in th...
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Big data drives better decision making, according to The Economist ... - TechRepublic

Big data drives better decision making, according to The Economist ... - TechRepublic | EVALIR Big data | Scoop.it
Big data drives better decision making, according to The Economist ...
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Also in the report, 45% who said they are growing faster than their competition also use predictive analytics in their decision making process.
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Predictive apps are the next frontier of marketing tech (infographic ...

Predictive apps are the next frontier of marketing tech (infographic ... | EVALIR Big data | Scoop.it
Last week, Salesforce bought sales data intelligence startup RelateIQ for $350 million. But that's just the latest deal in the marketing tech sector, which has seen several billion-dollar acquisitions in the past couple of years.
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Predictive Prevention: Why Do We Give Our Data to Angry Birds But ...

Predictive Prevention: Why Do We Give Our Data to Angry Birds But ... | EVALIR Big data | Scoop.it
In addition, Rovio may use and disclose personal data contained in the data file for justifiable purposes (such as direct marketing, distance selling, other direct advertising, opinion polls or marketing research) in accordance ...
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Why Are Predictive Marketing Analytics A Problem? |

Why Are Predictive Marketing Analytics A Problem? | | EVALIR Big data | Scoop.it
“Predictive analytics are a way of making decisions by taking the data of past performance, and using that data to expect future performance.” But the problem is marketing may be tackling this all wrong.
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Why Human Beings Are Predictably Wrong - Gartner | #TheMarketingAutomationAlert

Why Human Beings Are Predictably Wrong - Gartner | #TheMarketingAutomationAlert | EVALIR Big data | Scoop.it

Basic/ Condensed...

 

Don’t do these five things, and I predict your predictions will improve:

 

1. Be self-centered

Predictions usually tell us more about our own preoccupations than they do about the future.

 

2. Mistake habits for human nature

We assume social mores and the ways we use and abuse our time are not just temporary traps but something much deeper. Yet few things change faster. People don’t smoke on trains. Women vote.

 

3. Trust our first impressions

As Malcolm Gladwell pointed out in Blink, first impressions say more about us than anyone else. Like habits, frames of reference change. Shoppers who rode the first escalators at Harrod’s in London in 1898 actually fainted.

 

4. Overestimate the speed of change

Technologies are mired in detail, mistakes are the rule rather than the exception, and a lot of problems (the common cold?) are a lot harder than they look.

 

5. Overuse the word “revolution”

A good app is not a revolution. In the 1960′s, the well-known UK futurist Gordon Taylor foresaw a “revolution” caused by happy pills and chemical peels. All we can say to that is, welcome to California.

 

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marketingIO's curator insight, December 8, 2013 8:01 PM

This may seem like a curious curated item, but how often are we prognosticating on this, that and the other? Five things to avoid, especially the speed of change (it's slower than you think).

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Predictive Security: Big Data or Big Marketing?

Most security products and systems cannot keep up with the fast pace of new threats. They were designed back in ancient times when IT infrastructure lived be...
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EMERGING TRENDS: The Real Impact of Adaptive Marketing and Predictive Analytics | RAMACHANDRAN

The future of adaptive marketing and predictive analytics is playing out right now in the mobile and social games industry. The advent of connected devices a...
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Predictive Analytics for Direct Marketing

In this tutorial we demonstrate how a manufacturer of shaving equipment might use RapidMiner to identify and target the best prospects for a direct marketing...
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Why can’t all companies access the same data-driven intelligence as Google or Amazon?

Why can’t all companies access the same data-driven intelligence as Google or Amazon? | EVALIR Big data | Scoop.it
[Editor’s note: This is a guest contribution by Jamie Grenney, VP of Marketing at Infer. The post went through Pando’s usual editorial process, and Mr. Schroeder was not paid for his work.] When I ...
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Using big data, satellites to peer into ancient Greece

Using big data, satellites to peer into ancient Greece | EVALIR Big data | Scoop.it
By combining information gathered via satellite, big data and manual surveys, archaeologists can more easily and safely uncover the lost civilizations of ancient Greece.

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Deriving Business Value from Unstructured Nonrepetitive Data

Deriving Business Value from Unstructured Nonrepetitive Data | EVALIR Big data | Scoop.it
Concluding his series on gaining business value from corporate data, Bill Inmon looks at the different perspectives for viewing unstructured nonrepetitive data.

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