Much like the Fibonacci sequence appears repeatedly in nature, there are recurring patterns in data that, once recognized, can improve both our analytics and our efficiency in creating them.

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We’re all generating a lot of data about ourselves and how we live day to day. There are personal fitness devices, preferences and opinions expressed on social media, details on when we’ve come and gone from the house from our security systems, and more. It isn’t just data that companies are collecting from us, but data that we are directly generating ourselves. What should we be willing to do with it and at what price?

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Approach Big Data Analytics Like A Lego Kit

By Bill Franks, Apr 14, 2016

When it comes to Lego’s pre-packaged building kits, there is one aspect that ties closely to the needs of big data analytics. Namely, Lego provides consumers kits that use a combination of both custom pieces and standard pieces to create awesome models which children (and some adults!) can’t wait to get their hands on.

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One of the biggest hurdles faced in trying to purse the AoT is actually just a new iteration of a common, recurring problem that has vexed analytics professionals for years. Namely, we can’t analyze anything related to IoT until the infrastructure investment is made to create, acquire, and make available the data necessary for analysis.

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Tracking All The Things You Need To Analyze

By Bill Franks, Feb 11, 2016

As the Internet of Things (IOT) continues to gain momentum, there is a critical component to success that is missing today. While I’ve written about the power of the Analytics of Things (AOT), without addressing some tactical issues regarding the registering, tracking, and retiring of the things we want to analyze, we won’t be able to get where we need to be. We need to be in a position that allows easy and pervasive access and analysis of IOT data.

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Change Your Business One Metric At A Time

By Bill Franks, Jan 14, 2016

Change is hard for most organizations and individuals. Change that goes against historical cultural norms is even harder. In today’s fast moving business world, organizations have to change at a more rapid pace than ever before. In many cases, taking a measured, steady approach to change can be more successful than pushing for massive, immediate change.

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Netflix Asked The Wrong Analytics Question

By Bill Franks, Dec 10, 2015

Whenever you are looking to build a new and innovative analytic process, make sure that the challenge posed to the analytics professionals assigned includes the practical constraints that must be accounted for.

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All-channel marketing is the easy way out. It is the path of least resistance that unfortunately way too many organizations go down. All-channel marketing is simply executing the same old marketing approaches through every possible channel. It isn’t using each channel for its strengths. It isn’t having different channels add unique value to the customer. It isn’t making the most of the new data and analytics that are available today with some of the newer channels.

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Analyzing the Internet of Things

By Bill Franks, Oct 08, 2015

The Internet of Things (IoT) is a topic that is continuing to rise in buzz and interest. The IoT has been rapidly arriving around us whether we realize it or not. However, the sensor technology behind the IoT and the data it generates is outpacing our ability to consume, analyze, and drive value with it. This must change, and it certainly will in light of the focus that organizations are putting on analyzing IoT data.

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Ants, Padlocks, & Cyber Security

By Bill Franks, Sep 10, 2015

Make sure that your organization isn’t underestimating the nature of the battle going on with cyber security. At the same time, don’t assume that any organization with a data breach is guilty of being careless and sloppy. The fact is that a battle is continuously raging to defeat network security protocols.

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