October 30, 2018

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by: Lauren Prezby

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Categories: Analytics, Data, Events, Looker, Red Pill News

As a vendor, it’s rare to leave a conference feeling totally energized and fulfilled; thankfully, Looker Join broke the mold for Red Pill Analytics. Spoiler alert: we’ll definitely be going back next year. Mike Jelen addressing the @LookerData Partner Summit on how @RedPillA provides  Real-TimeBusiness Analytics to customers.   The week kicked off at the Partner [...]

June 27, 2018

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by: emily.carlsen

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Categories: Code, CSS, Data, Google, HTML

Google Data Studio (https://datastudio.google.com/) is a pretty powerful and yet easy to get started with tool to visualize data from a variety of sources (everything from CSV files, to large scale databases). And it lends itself to presenting those graphs in other places on the web and thankfully there is an embed option using the […]

January 19, 2018

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by: Phil Goerdt

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Categories: Big Data, Data

What HBR’s Winter 2017 OnPoint Tells Us About Business & Data It was a November evening that I was at the grocery store, waiting in the line to check out when I saw the latest issue of Harvard Business Review’s OnPoint publication. For those that are unaware, OnPoint is a seasonal publication that focuses on a particular […]

November 27, 2017

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by: Mike Fuller

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Categories: Data, Git, Looker, Version Control

If you follow Red Pill Analytics at all, you know that we have our hands in a bit of everything when it comes to data and analytics; having the opportunity to work with various tools and technologies is one of the many benefits to working at RPA. One particular tool that we have found ourselves […]

November 20, 2017

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by: Phil Goerdt

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Categories: Big Data, Cloud, Data, Google Cloud Platform, Google Data Studio

Some tips, tricks and thoughts on using Google Data Studio Red Pill Analytics recently delivered a solution that exclusively used Google Cloud Platform. Our client, a marketing team at Google, wanted to know how they were engaging with users across several online channels. We used Google Analytics, YouTube Analytics, AdWords, among other sources via BigQuery to […]

November 17, 2017

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by: Mike Fuller

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Categories: AWS, Data, Snowflake Computing

Whether it’s an enterprise application, the automobile you drive, or your favorite tea kettle, seemingly everything in the world today produces data. This results in a need to transfer data to a place where people and technology can make sense of it. Typically, the faster data can be transferred and more data that can be […]

May 5, 2017

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by: Phil Goerdt

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Categories: Data, Data Science

In my last blog post, I discussed how I think that the way most people talk about BI and analytics is incorrect, how data is fluid, and some of the biggest issues I see when helping clients. I’m going to continue that discussion in this blog post, but pivot the conversation from what is wrong […]

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