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,...
View ArticleAlways Learning. Or: my attempt to improve my (horrid) programming habits
I’m the worlds worst developer. Really. I am. I don’t follow best practices and my coding style is the oft-chided “brute force” method. I owe (blame?) my coding style on the fact that the first...
View ArticleA 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...
View ArticleDon’t use your data this way
Last week, I wrote a post titled Big Data Starts with Data Management. In that post, I wrote: Starting with data management will help mitigate these risks since a good data management approach allows...
View ArticleMore isn’t always better
More is always better right? More feedback from clients can help you improve your service. More money can help you build better products and teams. More data can help you make better decisions. More...
View ArticleData Maturity before Digital Maturity
I recently wrote about Digital Maturity vs Digital Transformation where I proclaimed that its more important to set your goal for digital maturity rather than just push your organization toward digital...
View ArticleMachine Learning Is Transforming Data Security
Data is the lifeblood of any organization today so it should be easy to understand that security of that data is just as important (if not more important) that the data itself. It seems that data...
View ArticleCustomer Engagement: A Data-Driven Team Sport
What would you do if you had so much data about your customers that you know could know (almost) everything about your customer when they contacted you? Better yet, what if you had the ability to...
View ArticleOpportunity Lost: Data Silos Continue to inhibit your Business
According to some estimates, data scientists spend as much as 80% of their time getting data in a format that can be used. As a practicing data scientist, I’d say that is a fairly accurate estimate in...
View ArticleTurn your data geeks into customer geeks
What would you do if you had so much data about your customers that you know could know (almost) everything about your customer when they contacted you? Better yet, what if you had the ability to...
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