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What is Event Storming?

February 8, 2020

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by: Renee Miller

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Categories: Customer Service, Data, Data Integration, Data Modeling, Data Science, Data Visualization

Event Storming is the creation of Alberto Brandolini, a lightweight but powerful workshop approach for software development and domain-driven design. Using sticky notes, experts like software developers and product designers work together at an accelerated pace to focus, rethink, reframe, and bounce ideas off each other. Event Storming is a methodology meant to: Be quick, [...]

OAC Extending Dimensional Attributes by Blending Data

December 3, 2018

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by: angie.brown

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Categories: Data, Data Science, Oracle Cloud

OAC Extending Dimensional Attributes by Blending Data

Blending Data in Oracle Analytics Cloud allows us to share additional dimensions or measures from one data set with those from another, without having to do complicated metadata modeling using RPD functionality. This is a great feature for user-sourced categorizations and can empower users to utilize Data Visualization instead of forcing them to export into […]

Supply, Demand and Data

May 5, 2017

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by: Phil Goerdt

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Categories: Data, Data Science

Supply, Demand and Data

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 […]

Bring the Noise

January 11, 2017

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by: Phil Goerdt

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Categories: Analytics, Data Science, OBIEE, Oracle

Bring the Noise

As I’ve been discussing in my last few blogs, it’s possible to start using OBIEE for analytics, rather than the standard operational reporting and BI that is commonplace. Data science has been quite the buzz the last few years, and no doubt about it, data scientists can bring great value and understanding to an organization, […]

Accessing & Analyzing Twitter Posts with R

June 24, 2016

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by: Michelle Kolbe

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Categories: Code, Data Science, R, Twitter

Accessing & Analyzing Twitter Posts with R

This is a topic that I was teaching about last night in my Digital Analytics class at the University of Utah and instead of only sharing what I found with my students, I thought I’d share here in the blogosphere. What I’ve found was yes it’s easy to pull Twitter posts into R for analysis! […]