Big Data & Digital Marketing
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Big Data & Digital Marketing
Data analytics as the key to know your customers and offer them what they really want.
Curated by Luca Naso
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IBM, Cloudera and Amazon Big Data announcements

IBM, Cloudera and Amazon Big Data announcements | Big Data & Digital Marketing | Scoop.it
New products, new technologies and an acquisition announced over the last two weeks may be small items on their own, but they add up to an important shift in the Big Data space.
Luca Naso's insight:

1. IBM is improving its cloud-based elastic data warehouse;

2. Cloudera announces Ibis: a project for letting data-scientists use Python directly on Hadoop;

3. Amazon is making Elastic MapReduce almost plug-and-play.


What's especially interesting about all of these announcements is that they are signs of a maturing market. No one's introducing a brand new data processing engine. Instead, IBM is improving, acquiring and competing; Amazon is streamlining; Cloudera is re-platforming; and Apache NiFi is integrating.

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JẴї❣'s curator insight, August 29, 2015 6:47 AM
Big shift in the Big Data space
Anthony Ricketts's curator insight, August 29, 2015 9:15 AM

I am taking a few courses in Data Analytics. My friend @laurakenyon told me it is a huge deal for marketers now. Indeed ROI and understanding metrics are fundamentals of the marketing profession.

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Build your first IoT device with IBM and ARM kit

Build your first IoT device with IBM and ARM kit | Big Data & Digital Marketing | Scoop.it
The mBed IoT Starter Kit launches today - providing a kit for building IoT prototypes that can be sending data to the cloud for analysis within minutes.
Luca Naso's insight:

A common challenge when dealing with the Internet Of Things is the lack of standardization. This, in turns, makes it difficult for all of the sensors to communicate, for all of the data to be gathered, analysed and eventually leveraged.


IBM and ARM have teamed up to lower the barrier for developers in IoT: the mBed IoT Starter Kit costs just around 100eur, and can be directly connected to the IBM IoT Foundation (to channel data into IBM Bluemix serivces).

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Abdulmalik Ofemile's curator insight, May 10, 2015 3:23 AM

Big Data DIY

Leonard Bremner's curator insight, May 25, 2015 5:15 AM

Looks a fun project

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Big Data in Retail: Examples in Action

Big Data in Retail: Examples in Action | Big Data & Digital Marketing | Scoop.it
Savvy retailers use big data analytics from web browsing, social media, industry forecasts, existing customer records to predict trends, prepare for demand, pinpoint customers, optimize pricing and promotions.
Luca Naso's insight:

Top retailers are using Big Data to gain a competitive advantage:
predicting trends and preparing for future demand.

 

Synchronize prices hourly with demand, inventory and the competition.

 

Pinpoint customers who will likely buy your product and contact them as they wish to be reached, when they are in the right location, and engaging them with personalized real-time offers.

 

Retailers using big data technology are able to provide a smarter shopping experience to influence purchase decisions and edge out the competition.

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Roamware Harnesses the Power of Data for Mobile Operators with IBM Big Data Analytics Technology

Roamware Harnesses the Power of Data for Mobile Operators with IBM Big Data Analytics Technology | Big Data & Digital Marketing | Scoop.it

Roamware Inc., a global leader in Mobile Operator Service Solutions, today announced the launch of RWisdom, a roaming Big Data Analytics solution for mobile operators in collaboration with IBM.

Luca Naso's insight:

Mobile Operators have a lot of data and have a huge advertising potential.

They can benefit from real-time analytics and should follow a very interactive a dynamic approach.

A good Big Data solution is really needed to successfully tailor content to the customers.

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IBM Making Customer Analytics Smarter

IBM Making Customer Analytics Smarter | Big Data & Digital Marketing | Scoop.it

When it comes to today’s customers, companies have to be smart if they are going to anticipate and meet new customer expectations. These days IBM talks about doing most things in “smart” ways...

Luca Naso's insight:

IBM has assembled a comprehensive set of capabilities to support the complete customer life cycle, which it defines as acquire, grow and retain.


The starting point of everything is data, which is at the heart of customer analytics. IBM segments it into descriptive data, behavioral data, interaction data and attitudinal data.


IBM has created an impressive set of capabilities, however, it is missing speech analytics, which can be a prime source of customer insights. Maybe IBM’s work with Watson could fill this gap.

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IBM Serves Wimbledon Tennis With Data Analytics

IBM Serves Wimbledon Tennis With Data Analytics | Big Data & Digital Marketing | Scoop.it

It’s Wimbledon season and that means tennis, strawberries and Pimm’s. It also means big data analytics. Previous Forbes writers have chided tennis for being behind other sports in data analytics, but this suggestion may need some clarification.

Luca Naso's insight:

At the Wimbledon tennis tournament, IBM will use a solution based on InfoSphere + Watson. This will make it possible not only to collect information just about everything that happens to the players and to the balls, but also to relate this large set of data with historical information and to query it using Natural Language.

 

There's more.

With so much data about each shot and player, it will be possible to analyse players' playing style. This will in turn allow the players to study their opponents' weakness and strengths to better prepare next matches.

 

A very interesting note.

IBM is training tennis professionals to use the data entry system, rather than training data scientists on tennis.

Yet another proof of the importance of having field experts (about the specific industry under consideration).

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Glenn Wallace's curator insight, June 24, 2015 1:16 PM

We must stay abreast with current events

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How big data and analytics are making retailers more customer-centric

How big data and analytics are making retailers more customer-centric | Big Data & Digital Marketing | Scoop.it

Retailers today have to face a new breed of empowered customers who are always connected and have more information on products than sometimes even the retailers do. Being customer-centric is the new competitive differentiation for retailers today

Luca Naso's insight:

A recent IBM Institute for Business Value study notes that leaders are 166 percent more likely to make most decisions based on data, and 75 percent of leaders cite growth as the key source of value from analytics.

 

In the new IDC retail insights study: “Business Strategy: Big Data and Analytics Lay the Foundation for Revenue Growth,” it is noted that, in 2013, approximately 50 percent of retailers were using big data and analytics to inform pricing strategies, market intelligence and customer acquisition, with more retailers to join in next two to three years.

 

The various functions of a retail business, such as marketing, merchandising, supply chain, operations and customer service, must wear different hats at different times and should think about how others perceive their brands, as well as what they can do to enhance customer centricity.

 

Here are some examples of how IBM helped four famous retailers (Luxottica, BestBuy, Elie Tahari and Macys)

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How to get smarter about Big Data: 5 suggestions from Jeff Joan of IBM

How to get smarter about Big Data: 5 suggestions from Jeff Joan of IBM | Big Data & Digital Marketing | Scoop.it

Ever wonder how Las Vegas casinos catch card-counting teams at Blackjack tables, like the MIT team immortalized in the film “21” with Kevin Spacey? They use many techniques, some of which are confidential, but one we know about is their use of Entity Analytics on many intersecting streams of information about their patrons or potential employees.

Luca Naso's insight:

 

1. Integrate your analytics stovepipes (put all data in the same pool)

2. Integrate real-time and batch analytics for deeper insight (real-time is King, but also Kings need suggestions)
3. Don’t be afraid of real-time (real-time may not cost more)
4. You need the right people to gain these insights (prefer curious people, aka Big Brains, to guru programmers)
5. Beware the privacy and regulatory implications of integrating analytics

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IBM announces support for 'game changing' Big Data technology

IBM announces support for 'game changing' Big Data technology | Big Data & Digital Marketing | Scoop.it
IBM has launched support for the BLU Acceleration service, which will make data processing and analysis faster and more economical.
Luca Naso's insight:

IBM launches a new Big Data architecture acceleration: BLU Acceleration.

 

Bob Picciano, IBM's general manager, claims that BLU Acceleration is 10 times faster than other database systems, and that in some cases the runtime dropped from minutes to milliseconds.

 

I am sceptical about having queries running _thousands_ times faster than before, but I welcome innovative solutions from IBM.

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