Episode 118

Using external data in addition to your internal data is strategic. Besides public microservices, business systems and IoT products, an emerging source of external data is the datamart, otherwise known as the data marketplace or data exchange – places where you can buy and sell data on the open market. But should you sell your data and are there any other options to do so?
Listen to this podcast (or read the transcript), where I speak with Tim Panagos about setting up your own datamart and the inherent value in doing so - even if you don’t plan on selling anything at all

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Episode 117

I have to admit, when I think datamarts, I think about buying data and when I think data monetization, I think of data as a means to monetize an IoT product or service. But what about being a seller? That is, monetizing data by selling it directly on the open market?
Listen to this podcast (or read the transcript), where I speak with Didier Navez about the mechanics of being a buyer and a seller of data

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Episode 116

Opensource software is mainstream. But opensource data? Yeah, and it can be found in a datamart near you. The thinking is, if you make your data freely available for all to use; all will improve it. It will be made more consumable, you will get feedback on how to use it and perhaps counterintuitively, you will learn how to value it.
Listen to this podcast (or read the transcript), where I speak with Adam Mayer about applying the opensource ethos to data within the data exchange

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Episode 115

One of data science’s dirty little secrets is the time spent data wrangling, that is accessing the data and then transforming it into a form compatible with your data tools and chosen analytical and learning models. Most agree this can take a full 75-80% of data science time.
Listen to this podcast (or read the transcript), where I speak with Adam Mayer about data access and form when shopping at your local datamart

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Episode 114

To truly use the Internet of Things in its fullest capacity – more than connected and more than smart – we look beyond our internal sources of data and venture onto the Internet to seek out external sources of data that when mashed with our sensor data, creates more valuable information. This can be done piecemeal by connecting directly to microservices, but a new source has popped up lately.
Listen to this podcast (or read the transcript), where I speak with Carl Rodrigues about data marketplaces and how to shop there for value

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Episode 80

We’ve all heard it before: garbage in – garbage out. This is especially problematic with IoT data where dirty data, data that is well formed but wrong, can cause a butterfly effect chain reaction, polluting the data lake, resulting in bad decisions and bad business.

Listen to this podcast (or read the transcript) with James Branigan about what bad data is, how to identify it, stop it and then deal with the aftermath

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Episode 67

They say data is the new oil. Well if that’s the case, then like oil, crude data must be refined and packaged to make it useful and consumable. If you believe, like I believe, that all incremental value from an Internet product comes from transforming its data into useful information, then external sources of data, when combined with internal data, can become very valuable, indeed.

Listen to this podcast (or read the transcript) where I speak with David Knight about third-party data markets and syndicates

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Episode 28

Big 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.

Listen to this podcast (or read the transcript) with Big Data expert Mark van Rijmenam to conclude our seven-part miniseries on analytics by covering the entire array of what’s available

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