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Multi-Channel Retail: Where Big Box Meets Big Data

July 22, 2014 by Charles Settles

Retail and big data.

Amazon’s highly publicized unveiling of their Prime Air project was seen as a warning shot across the bow of logistics giants UPS and FedEx, but Walmart would do well to pay attention too. As noted in part one of this two-part series on multichannel-retail, Walmart’s dominance is as much because of their investment in distribution as it is because of their low cost of goods sold.[read more]

A Case for Digital Transformation in the Pharmaceuticals Industry

July 21, 2014 by Mithun Sridharan

The pharmaceuticals industry.

Digital technologies and internet have been instrumental in dislodging the pharmaceutical industry from the cozy position it once occupied. For the industry to rejuvenate itself, it has to leverage the very tools that brought about this shift.[read more]

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Retail is Dead. Long Live Retail!

July 14, 2014 by Charles Settles

Using data for retail.

Walmart has several strategies to grow their ecommerce operation. Their distribution system is already the model upon which others are built — including Amazon’s. They have already been leveraging their supply chain management system, built on collaborative, vendor-managed inventory, to secure their place as the largest retailer in the world.[read more]

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The Billboard Problem: Why Intelligent Ads Only Live Online, for Now

April 18, 2014 by Samantha Meckler

Billboard.

For centuries, billboard ads have been an ambiguous but undoubtedly treasured way to convert eyeballs into customers. Data-driven business decisions are becoming the way of the world -- and no longer just in theory, so 'guessing as proof' metrics will continue to be exactly what they always have been -- ambiguous and nostalgic.[read more]

Customer Experience Innovation: Aligning Business with Customer

December 20, 2013 by Julie Hunt

Aligning business with customer / shutterstock

Organizations must recognize that management doesn't mean attempting to control and dictate to the customer what the 'experience' will be. Agile and effective business processes are instrumental to providing a sophisticated means to respond well to customer needs, while navigating many complex variables, moving from customer to customer.[read more]

MasterCard Applies Big Data to Help Retailers Achieve Better Results

December 20, 2013 by Mark van Rijmenam

Apart from preventing fraudulent behavior and identifying and preventing fraudulent transactions before they occur, MasterCard applies big data in another innovative way. It knows what everyone buys, and they are using big data techniques to offer reports, insights, customer information and forecasts to their merchants.[read more]

Companies Struggle to Engage with Customers Digitally

December 16, 2013 by Richard Snow

Who handles customer interactions?

Companies have to support digital customers while continuing to support others who still make phone calls, send email and even write letters. According to my research into next-generation customer engagement, most companies are not yet prepared to meet the expectations of digital customers.[read more]

Perfect Information Doesn't Equal Perfect Predictions

December 16, 2013 by Bill Franks

Imperfect predictions / shutterstock

What if we were able to actually know everything there is to know about our customers? What if we were able to understand them as fully as or better than they understand themselves? Would that lead to predictive models that were perfectly able to predict?[read more]

Projected Growth Rates of the BI Software and Big Data Analytics Markets [VIDEO]

October 7, 2013 by Lachlan James

In this episode, we take a look at the current and projected growth rates of the BI software and Big Data analytics markets. To complement these statistical findings, we then offer some tips for initiating business analytics initiatives and deciphering Return on Investment and Total Cost of Ownership.[read more]

How Fashion Retailer Nordstrom Drives Innovation With Big Data Experiments

August 26, 2013 by Mark van Rijmenam

Nordstrom is investing heavily in big data. Their goal is to figure out what products to promote to which customers when and via what channel. Nordstrom wants to provide a customized personal experience and with the vast amounts of data they collect they can achieve this goal.[read more]

5 Steps To Data-Driven Marketing [INFOGRAPHIC]

August 16, 2013 by Mark van Rijmenam

At BigData-Startups we know that big data offers a lot of possibilities for any industry, any organization and any department. Just recently, Teradata released the results of their data-driven marketing survey and these show why data-driven marketing has not yet picked-up yet in all organizations and more importantly what organizations can do to change that.[read more]

A Self-Driving Car Will Create 1 Gigabyte of Data Per Second: New Big Data Opportunity?

July 22, 2013 by Mark van Rijmenam

Earlier I showed how Ford is driving in the right direction with big data, but basically the entire automotive industry should take advantage of the benefits of big data. Especially the automotive industry, where there are many moving parts that can be improved with sensors for data collection.[read more]

What Data Do the Five Largest Tech Companies Collect? [INFOGRAPHIC]

July 21, 2013 by Mark van Rijmenam

What's Google got on you?

Big Data brings big privacy issues. Baynote has created an infographic that shows the vast amounts of different types of data collected by the five largest tech companies in the world -- Google, Apple, Facebook, Yahoo! and Amazon -- ranging from search queries, profile information to even your phone number.[read more]

Apple and Motorola Re-Visit Old Values in New Ads

July 18, 2013 by Robert Passikoff

Motorola ad

What elements of a product do consumers respond to most strongly? Let's break down ads for two different brands -- Apple and Motorola -- and examine the data surrounding their performance among different consumer segments.[read more]

Self-Service BI Customers Are Not All the Same (Part 1)

July 17, 2013 by Rick Sherman

The road to self-service BI

Enterprises need a better understanding of self-service BI so they can avoid the common mistakes often made with it. First lesson: customers come in all shapes and sizes. Customer segmentation is Marketing 101, but for some reason the high tech industry doesn’t seem to get it.[read more]