social media marketing strategy 7

Don’t Be Fooled. What You Need to Know About Integrations…

When working with our customers at Trust Insights we all get very excited about things like driver analysis (figuring out exactly what’s working and what to do more of) and predictive analytics (beating out your competitors by having a better view of what’s coming in the future). For better or worse, the prerequisite for doing […]

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What is First Party Data Second Party Data and Third Party Data 10

Attribution Part 2: Source Codes and Reconciliation

This is the second part in a series on attribution. For an explanation of what attribution is, start out with Part 1 here. Ok, now that you know what Attribution is, this post will show you how to get started. This is where most companies should begin if they are currently not doing anything. Usually […]

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DIGITAL FOOTPRINT COMPETITIVE ANALYSIS 8

Winning with AI: Drones and IBM Watson Visual Recognition

Artificial intelligence is a powerful tool, but until recently, has required substantial technical expertise even for a proof of concept. Drone technology has equally been either cheap but unreliable or very expensive and required significant training. In this video, watch as cofounder Christopher Penn shows the integration of a DJI Tello drone, Google Photos, and […]

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DIGITAL FOOTPRINT COMPETITIVE ANALYSIS

{PODCAST} In-Ear Insights: Digital Transformation

In this episode of In-Ear Insights, founders Katie Robbert and Christopher Penn debate today’s hot buzzword in business: digital transformation. What is it? Is it net new to the business world or is it old wine in a new bottle? Listen in and share your own opinions in the comments. Download the MP3 audio here. […]

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Are you using your demographic data

Digital Transformation And Disruption: An IBM THINK Talk

At IBM THINK, I presented an analytics-driven perspective on digital transformation and digital disruption. Digital transformation and disruption are inevitable in every industry. The choice isn’t whether to transform or not, but how we do it – well or poorly. Key takeaways included: Using anomaly detection, unstructured data mining, and predictive analytics to identify disruption […]

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