Google’s announcement of the upcoming retirement of their Optimize A/B testing product took me by surprise. In my mind’s eye I still see experimentation as shiny and exciting technology. I’ll blame this on the finesse of leading software providers, who have adeptly added sophisticated testing and personalization capabilities over the years, right in line with […]
From Data Swamp to Data Lake: Data Zones
This is the final blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Read the previous blog, here. In the first article in this series, I explained the five components necessary […]
From Data Swamp to Data Lake: Data Classification
This is the fourth blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Read the previous blog, here. In the first article in this series, I explained the five components […]
Deep Dive into Google Analytics 4
Over the past several months I start receiving messages from Google announcing its deprecation of Universal Analytics in favor of Analytics 4 from July 1, 2023 (and Analytics 360 got an additional 3 months beyond that date until October 1, 2023). The new tool, the company claims, has more power to measure many different types […]
From Data Swamp to Data Lake: Data Quality
This is the third blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Read the previous blog, here. In the First article in this series, I explained the five components necessary […]
From Data Swamp to Data Lake: Data Catalog
This is the second blog in a series that explains how organizations can prevent their Data Lake from becoming a Data Swamp, with insights and strategy from Perficient’s Senior Data Strategist and Solutions Architect, Dr. Chuck Brooks. Read the first blog, here. In the first article in this series, I explained the five components […]
From Data Swamp to Data Lake
For several years now I have heard people that wanted to slow the progress of companies becoming data-driven use the term “Data Swamp”, usually without much understanding of what a Data Swamp is. In this series of blogs, I will define what a Data Swamp really is and why it may not be a […]
Why Don’t I Rank? Here’s a Quick Fix When the Wrong Page Ranks for Your Keyword(s) in Google
Picture this: You’re sitting at your desk, anxiously refreshing your website’s rankings, eagerly awaiting the moment you see your target keywords sitting pretty at the top of the search engine results. But then, the moment of triumph turns into one of disappointment and frustration as you realize that the page Google has chosen to rank […]
10 Steps to a Successful SEO Audit: A Proven Checklist
Are you looking to enhance your business’s online presence? We all turn to search engines to find products and services; your website must rank as high as possible in search engine results pages (SERPs). According to a recent study by Forbes, “93% of online experiences begin with a search engine.” This makes it clear that […]
ChatGPT is the most useful tool in the world
If you have not heard of ChatGPT yet, I highly recommend you check it out. And if you want me to tell you, how I about I just show you? Hey GPT, how would you explain yourself to a consulting agency in 4 sentences, focusing on how you could add value to technical and business […]
The Star Schema is Obsolete, Moving to the Cloud
This is the third and final blog in this series, to read the previous blog click, here. In the first post, I urged you to stop using star schema dimensional models because they were obsolete. In the second post, I elaborated on why star schema dimensional models were obsolete using Ralph Kimball’s own reasons […]
The Star Schema is Obsolete, Reduced Cost, and Better Performance
This is the second blog in the series. Read the first blog, here. In my first blog, I stated that the star schema and dimensional modeling are obsolete, and I urge you to stop using them. I explained that in the first chapter of The Data Warehouse Toolkit Ralph Kimball explained that dimensional modeling […]