A look at Twitter messages in 2012 mentioning $SPY and S&P500 Symbols

Cross Posted at TradeTheSentiment.com While working up my data analysis chapter of my dissertation, I came across some interesting tidbits of information and thought I’d share. Nothing here is earth-shattering and there’s not much I (or you) can do with this…but I thought it interesting and hope someone else out there does too. I’ve shared […]

Big Data won’t solve your problem (or maybe it will)

I just finished reading “Can big data technology be used to replace creative marketing?” and felt the need to vent a bit. This first part of this vent: I’m not real sure what the reason for that article was…it kind of bounced around a bit.   Apologies to the author but I was confused reading it […]

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’? […]