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Tag Archives | analytics

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My Big Data Resolution for 2015

I generally like precision, and I strive for it in my writing and thinking. It certainly helps in communicating ideas., However, I have been pretty relaxed in how I use the term, Big Data. I’ve used the term to refer to the size of the data set (e.g., “We have Big Data.”). I have even used it to […]

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big-data

Six Ways to Define Big Data

Berkeley School of Information (datascience@berkeley) recently asked experts in a variety of industries to provide their definition of “Big Data”. They received over 40 definitions that ranged from the traditional 3 Vs (i.e., Volume, Velocity and Variety) to anything related to analytics or visualization. Some of these definitions were fairly narrow and focused only a single concept (e.g., […]

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The Hidden Bias in Customer Metrics

Business leaders understand how their business is performing by monitoring different metrics. Metrics are essentially a summary all the data (yes, even Big Data) into a score. Metrics include new customer growth rate, number of sales and employee satisfaction, to name a few. Your hope is that these scores tell you something useful. There are a few ways to […]

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Data Definition Framework

The What and Where of Big Data: A Data Definition Framework

I recently read a good article on the difference between structured and unstructured data. The author defines structured data as data that can be easily organized. As a result these type of data are easily analyzable. Unstructured data refers to information that either does not have a pre-defined data model and/or is not organized in a […]

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Top 10 BOB Blog Posts of 2013: It’s all About Loyalty and Analytics

I’ve rounded up my most popular (based on pageviews) blog posts from 2013. The top blog post was on the Customer Loyalty Measurement Framework which received three times as many views as the second most popular blog post. Many of the remaining top blog posts were on how companies can improve the value of their […]

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Confirmation Bias

In Data We Trust

The use of data in driving business decisions is a competitive imperative in today’s business world, improving how companies market to, sell to, and service their customers. Yet IBM found that 1 in 3 business leaders do not trust the information they use to make decisions. When business leaders don’t believe their data, they likely are not going to […]

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2013 infographic.six points

Six Practices Critical to Creating Value from Data and Analytics [INFOGRAPHIC]

IBM Institute for Business Value surveyed 900 IT and business executives from 70 countries from June through August 2013. The 50+ survey questions were designed to help translate concepts relating to generating value from analytics into actions. They found that business leaders adopt specific strategies to create value from data and analytics. Leaders: are 166% more likely […]

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