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Predictive Analytics

4 Customer Retention Metrics for Data-Driven Ecommerce

September 21, 2016 by Eran Levy

Running an eCommerce business is a challenging task. In addition to managing a huge scale of shipments and vendors, there are frequently multiple channels to manage as well. Those channels could include Amazon, eBay, Google Store, Rakuten, Alibaba, Etsy, as well as a self-managed website.One aspect that can have a major impact on your...[read more]

Why Embedded Analytics is a Game Changer for UX

August 20, 2016 by Eran Levy

As a quick recap, embedded analytics generally means including consumer-facing BI and analytics tools within a separate application, as part of the native application itself rather than a separate platform (if you want to learn more about this, you can check out the beginner’s guide to embedded data analytics, or discover why we think...[read more]

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Big Data and the Evolution of Supply Chain Planning

August 17, 2016 by Andrew Armstrong

A look at how Big Data analytics are helping companies to overcome some of their biggest supply chain challenges, especially those related to shorter product lifecycles and rapid scaling.[read more]

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4 Benefits of Big Data for Ecommerce Owners and Shoppers

August 8, 2016 by Abdullahi Muhammed
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In the scope of ecommerce, big data analysis is the collection of large amounts of information in order to determine shopping patterns and insights about customer behavior. Using big data has a lot of added benefits for both the seller and consumer.[read more]

Intermixing Big Data and IoT to Create Smart Cities that Improve Life

August 6, 2016 by Ryan Ayers

With big data analytics, our generation has the ability to process large amounts of information, and use it to suit our personalized needs wherever we go. When big data and information technology are combined in our major cities, efficiency and effectiveness get stronger making the quality of human life better.[read more]

BI Case Study: Building an Open Data Portal

July 19, 2016 by Eran Levy
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This article was written by Paul Murphy, IT Program Leader at Co-operatives UK, about his experience using business intelligence technology to centralize years of messy historical data and create an open, explorable web portal. Do you have an interesting business intelligence case study to share? Email us at [email protected] one...[read more]

How hotels are using data to generate new revenue

July 19, 2016 by Mark Ross-Smith
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Hotel revenue management and use of analytics for room sales has remained largely unchanged for decades since the early 1980s when hotels started looking at yield and how they could optimize the revenue each room could generate. By the mid-1990’s, Marriott’s successful execution of revenue management strategies were adding between $...[read more]

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Keeping Sales & Marketing Data in Order: What startups must learn from the enterprise.

June 29, 2016 by Maria Grineva

Keeping Sales & Marketing Data in Order: What startups must learn from the enterprise.Nowadays it’s hard to find a startup CEO or CTO who’s not thinking about how their company can maximize the value of its data. Yet, most of the startups I speak with are shocked to learn how much money they’re leaving on the table as a result of...[read more]

Retail Data Monetization: Are you sitting on top of a retail goldmine?

June 28, 2016 by Ajith Nayar

The majority of sales generated in the 4.5 trillion dollar US retail market is in-store and the volume of transaction data collected at various points in the trading process is immense. This data is a treasure trove of customer insight as well as product performance. While many retailers mine this data to gain specific insights into understanding their shoppers better, the possibilities that such data analysis opens up is largely untapped.[read more]

6 reasons why your business cannot succeed without predictive analytics

May 19, 2016 by Jagadish Thaker
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Have you ever burnt your tongue while having hot soup when you were young? If you have, then you now use the understanding obtained from that experience to predict what will happen if you accidently taste the hot soup. Also, you very well know how to prevent such an experience.Likewise, predictive analytics do the same thing for your...[read more]

Soccer player predicted as the top rising star - back in November (video)

May 11, 2016 by Jure Rejec

Did you know that Big Data can help us predict who the future soccer stars will be? This is precisely what happened in Riyad Mahrez’s case, PFA Player of the Year, who has conquered the English Premier League with Leicester City.During last year’s Big Data Week Conference in London, Malta-based entrepreneur Valery Bollier correctly...[read more]

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Emotions: The Next (but not new) Frontier in Artificial Intelligence & Cognitive Computing

May 10, 2016 by Luca Scagliarini

How you “feel” has never been more important in tech. This year, a number of companies are showing an interest in emotions. We’ve always believed in the value of a deeper understanding of text. While meaning and context can tell us so much, we’re leaving a lot of valuable information on the table if we’re not looking at one of the key things that makes us human.[read more]

Retail Data Monetization: Are you sitting on top of a retail goldmine?

May 4, 2016 by Ajith Nayar

The majority of sales generated in the 4.5 trillion dollar US retail market is in-store and the volume of transaction data collected at various points in the trading process is immense. This data is a treasure trove of customer insight as well as product performance. While many retailers mine this data to gain specific insights...[read more]

Is this data alive through deep learning and intelligence?

March 21, 2016 by Bruce Robbins

I read a description of deep learning as, 'a powerful set of techniques for learning in neural networks', it also described neural networks as 'a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data'. Both are tools that can be applied to data to do all kinds of useful things such...[read more]

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In a World Full of Data, Can Analytics See the Market Trends?

March 13, 2016 by Ryan Kh

The IoT has put an array of data before us, but can this information help us understand previously unpredictable trends? As computers get better at connecting all of this information – from common Twitter topics to Google searches – we may be nearing a time when computers will be better equipped to choose stocks than people.In the past,...[read more]