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Big Data

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Derailing Your Supply Chain BI Project

September 1, 2014 by Ray Major

Derailing a project.

Remind people that data doesn’t kill dreams. A Supply Chain Business Intelligence initiative is not a funeral service for their creativity. Quite the opposite, in fact. The insights they gain from BI will pave the way for the boldest, most creative options you’ve ever considered as a business.[read more]

12 Big Data One-to-One Marketing Myths [INFOGRAPHIC]

August 31, 2014 by Mark van Rijmenam
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Big data myths.

Big Data and marketing is a powerful combination. With the vast amounts of data available internally, but even more externally, any organisation can reap the benefits from a customer data driven approach. Unfortunately, many organisations are not that far yet and are finding excuses not to go ahead with a customer-focused Big Data strategy.[read more]

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5 Powerful Ways Retailers Can Leverage Big Data and Hadoop

August 30, 2014 by Michele Nemschoff
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Leverage big data and Hadoop.

Big data isn’t just for developers and analysts in the technical arena. In today’s digital age, big data has become a powerful tool across industries. In fact, many retailers are experiencing major growth thanks to the big data industry. According to research by Monetate, retailers have big plans in store for big data. Let’s take a look at big data initiatives throughout the retail industry.[read more]

Big Data Gets Creative: 10 Big Data Kickstarters Turning Data Into Impact

August 28, 2014 by Tracey Wallace

Big data Kickstarters.

It just might be your turn to invest.Knowing that innovative genius doesn't depend on monetary status, we went ahead and rounded up the coolest big data projects being masterminded behind-the-conglomerate-scenes. From art to fitness, books to video games, big data is making a big impact – and it just might be your turn to invest.[read more]

The Social Login Debate: LinkedIn's Weird Absence

August 28, 2014 by Rishi Shah

Social logins.

The trend toward social login – and improved user experiences – continues across the internet as Facebook and Google+ compete for a larger market share. Publishers, game developers, retailers, brands, agencies and aspiring bloggers such as myself see an enormous opportunity in social registration.[read more]

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Connecting the Data Dots Keeps These Companies Alive

August 27, 2014 by Tamara Dull

The Big Data MOPS Series.

What do the following companies have in common: Google, Facebook, Twitter, LinkedIn, Orbitz, Airbnb, Angie’s List, Match.com, OpenTable, and Uber? They’re all online; they have no brick-&-mortar presence. If their website or mobile app is unavailable, it’s as if they don’t exist.[read more]

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Building Information Technology Liquidity

August 25, 2014 by Paul Barsch

Risky Business column.

In the financial world, liquid assets can allow companies to react and capitalize on market opportunities. Liquidity in IT means that companies have enough extra compute firepower, people resources and are agile enough with IT processes to respond to unplanned events and demand, in whatever shape, form or order they arrive.[read more]

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Data Science: What Companies Need to Know

August 23, 2014 by Kristen Paral

Data science.

Take a look at Google, Uber, Amazon or Airbnb. All of them are utilizing big data and data scientists to derive business insights and making quantum leaps in their respective business models. Many companies don’t understand the full value of what data science can deliver, revolutionizing their big data into actual results.[read more]

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We’re Traveling at the Speed of Cool to Creepy

August 22, 2014 by Tamara Dull

The Big Data MOPS Series.

It is no longer good enough to make the connection or get the account. The challenge now for companies/brands/apps is to demonstrate that they are trustworthy, respectable, and care about safeguarding what customers have shared with them—i.e., their personal data.[read more]

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How Companies Use Big Data Successfully

August 22, 2014 by Jessica Oaks

Big data.

One of the greatest benefits afforded businesses by data analysis is that decisions can be made not based on hunches, but on hard numbers. As soon as a company realizes this, it can start taking concrete steps to address legitimate and documented needs – customer needs, internal needs, logistics needs, and more.[read more]

5 Tips to Consider When Designing Supply Chain Key Performance Indicators

August 22, 2014 by Ray Major

KPIs.

You can’t predict anything with 100% certainty, and your predictive power wanes the farther out you gaze. The study of KPIs over time is all about finding patterns and signals, then applying intelligence in order to make better decisions and gain wisdom.[read more]

How Big Data Enables Hyper-Local Real-Time Weather Forecasting

August 21, 2014 by Mark van Rijmenam

Weather forecasting.

Accurate weather predictions are very important for economic activities and with more extreme weather conditions happening, knowing what to expect could save a lot of money, and lives. Such hyper-local real-time weather forecasting is becoming more common every day.[read more]

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Can Fossil Analysis Software Help Us Plan Curriculum?

August 20, 2014 by J. Kevin Byrne

Fossil analysis software.

Paleontologists use (free) software (known as PAST) for their statistical analysis. I bumped into it via key-word web-search to support academic planning I was doing. I offloaded it, took a close look, and I discovered I could use a specific menu within it (hierarchical analysis) to help reconceptualize curriculum at my design college.[read more]

Supply Chain Business Intelligence Is More Than Just Technology

August 20, 2014 by Ray Major

Supply chain BI.

Interestingly the technology implementation requires the most hard dollar costs, and returns the least in terms of ROI. The real value in Holistic BI is in garnering the corporate buy in or, in other words, training the people to make better data-driven business decisions based on the data.[read more]

Lessons from How Amazon Uses Big Data

August 20, 2014 by MIKE20 Governance Association

Big data.

Entering the field of big data is no cake walk. Due to the many nuances of big data architecture combined with the fact that it’s so new, relatively speaking, it can be overwhelming for many executives to implement. Or, instead of being overwhelming, there’s simply a lack of experience and understanding. That misunderstanding leads management, all too often, to use big data inefficiently.[read more]