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Big Data & Digital Marketing
Data analytics as the key to know your customers and offer them what they really want.
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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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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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