Predictive Analytics is not Big Data

According to Wikipedia, predictive analytics is described as: Predictive analytics encompasses a variety of techniques from statistics, modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events. While I’m not a huge fan of relying on Wikipedia for definitions, this is a decent description. […]

Big Data – Construct or Reality?

Before we get started – a definition of “construct” is needed. Taking a page from my years in quantitative research, I submit this definition (based on this definition): A construct is a mental abstraction used to express an idea, object or any other ‘item’ (could be people, organizations, etc.). It’s a way of bringing theory […]

Big Data isn’t the answer

I’m a fan of data. I love using data to solve problems and find answers. I love combining context and data to help organizations find identify issues and find solutions. I love seeing organizations using data to make decisions and manage their business and even more, I love seeing organizations searching for new ways to […]

Big Data, Small Data – or YOUR Data?

I just finished reading Big Data and Marketing: A Confused Relationship? over on Marketing Pilgrim. There’s some good stuff in the post – but what really caught my attention was a paragraph toward the end of the article. The paragraph is: Focus more on the data you have today versus getting caught up in trying […]

Data Discovery, BI and the SMB

A CIO I spoke with last week mentioned that she and her team are struggling with their BI solution today. The solution works perfectly for analyzing their ‘standard’ data and does its job as a basic analysis and reporting tool but it doesn’t do much for their needs in the ‘big data’ realm. Their current […]

Using Big Data – Examples from IBM

IBM just released a few announcements related to Big Data. Namely, the use of big data and analytics to better understand and target customers. The announcements (and the infographic below) provide some interesting, real-world examples of using data to make decisions on not only marketing but also operations. The press releases can be found here […]

Context – the driver to actionable use of Big Data

In a previous article titled Context and Data, I wrote about the need to understand the ‘context’ surrounding data. Without context, data is data. You really can’t do much useful with data. Sure, you can analyze it…but in order to get any decent analysis results, you’ve got to know what the contextual wrapping of that […]

Big data – it’s all relative

Last month I wrote a post titled “Is Big Data to Big for Small Business?” where I asked the questions: Is there a place for small organizations in the world of big data? Can small businesses take advantage of this ‘big data’ stuff?  Are small business’ data-sets even large enough to be considered ‘big data’? […]

Context and Data

A few weeks ago I wrote about Big Data and Small Business. From that post, I wrote: As its defined, big data might be too big for small business, but the concepts behind big data – identifying, collecting, analyzing and using data – aren’t too big. Anyone can use do four steps regardless of business size and […]

Is Big Data too big for small business?

Big Data.  Two small words with huge meaning. Do a search for “big data” on Google and you’ll find over 23 million results. Do a book search on amazon for ‘big data’ (affiliate link) and you’ll get over 5,000 results (I’m actually surprised the number is that low). Big Data has a few different connotations.   There are […]