Most analytics projects fail because organizations build dashboards before defining what decisions they would make differently.
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?
Proper data integration and management will help you spend less time sifting through data and more time divining insights from it.
Marketing data lakes help data analysts collaborate with customer-facing teams to predict behaviors, personalize offers, and improve engagement.
Machine learning will not replace humans in the security chain, but it can help IT professionals monitor data access and system security effectively.
Along the path to digital maturity, your organization needs to reach data maturity in both organizational and technological aspects.
Make sure you have the tools and skills in place to analyze / use what you have before you go and add 'more' to the mix.
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
Cross Posted at TradeTheSentiment.com While working up my data analysis chapter of my dissertation, I came across some interesting tidbits of information
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
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
An analysis of twitter messages using the #CIO hashtag and captured / analyzed for patterns and information.
A visualization of the #CIO Twitter stream from data collected July 16 to July 18.
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