01 Sep The Full Array of Big Data Applied to IoT
ig Data is big! It’s another entire industry that’s subsumed by the Internet of Things. There’s a lot to consider but it all starts with your business information requirements – what you get by transforming the raw sensor data you collect into business value you can use. In this episode of the IoT Business Show, I speak with Big Data expert Mark van Rijmenam to conclude our seven-part miniseries on analytics by covering the entire array of what’s available.
In this episode of the IoT Business Show, I speak with Big Data expert Mark van Rijmenam to conclude our seven-part miniseries on analytics by covering the entire array of what’s available.
Mark is Founder of Datafloq, a one-stop shop for Big Data. He is an entrepreneur, a public speaker and strategist as well as an author of the book – Think Bigger – Developing a Successful Big Data Strategy for Your Business.
Most of the information in this episode will be a good review of what’s been covered before however an important consideration not yet discussed is the pros and cons of using an industry specific analytics solution. If you believe, like I believe, that one component of an IoT company’s intellectual property is its analytics recipes then it’s important to go beyond business intelligence and customize a solution to provide insights, rather than reports and visualizations.
Here’s What We’ll Cover in this Episode
- Manual vs automatic triggers.
- Is real-time analytics, real-time?
- Choosing your Big Data analytics solution.
- Real-time analytics and the difference between descriptive analytics, predictive analytics and prescriptive analytics.
- Discovery analytics.
- The trend of industry-specific predictive (and prescriptive) analytics.
- To filter or not to filter sensor data.
Mentioned in this Episode and Other Useful Links
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