Photo by NEW DATA SERVICES on Unsplash Many companies treat data as an afterthought, like a chef throwing parsley on a dish and calling it a garnish. That’s because many companies don’t live and die by their data. They don’t eat, breathe and sleep data. Well, I have. Or at least, I have worked for…
Read more
Photo by Dennis Kummer on Unsplash In the modern era, everyone expects their data the second it’s updated (if not somehow magically before the data occurs). Large corporations and Fortune 500 companies depend on this data to be able to predict consumer tastes or estimate where the forces of demand and supply are moving the…
Read more
Photo by Hunters Race on Unsplash In a recent data analytics consultation, I got asked how data analytics and data science could help my clients 7-8 figure business. We discussed what their business goals were and what tools they were currently using. Based on that we set up the next steps to start aligning some…
Read more
Data is continuing to prove to be a valuable asset for businesses of all sizes. I say that both from the fact that consulting firms like McKinsey have found that in their research companies that are using AI and analytics can attribute 20% of their earnings to it. Similarly, I have been able to consult for…
Read more
The CTO’s Focus Of The Week The focus for this week is streaming data solutions and analytics. Streaming data is far from new. Kafka and other solutions have existed well over a decade. However, most of these were often very complex to implement and weren’t always approachable. With that in mind, several companies have tried…
Read more
Companies of all sizes are starting to take advantage of all the various data sets flooding in from Salesforce, Google Analytics, Google Search Trends, and every other API, free data set, and internal tool. But just having the data is not enough. The sheer complexity and velocity of data can make it difficult to work…
Read more
Photo by Kaleidico on Unsplash Integrating data into strategy is proving to be a differentiator for businesses of all sizes. The cliche term “Data-Driven” is for more than just a billion-dollar tech company. Companies like DiscoverOrg and MVF are using data to help drive their decisions and create better products. Even smaller companies are finding…
Read more
Photo by Tim Mossholder on Unsplash By Travis Wolf The goal of completing a machine learning model lifecycle is to deploy and maintain a working pipeline of data. As more companies look to implement ML models to optimize data-driven functions, being able to deliver and maintain these models will require a web framework that can…
Read more
Photo by C Dustin on Unsplash Data warehousing was introduced in 1988 by IBM researchers Barry Devlin and Paul Murphy. Since then the concept has evolved and taken on a life of its own. Increasing challenges and complexities of business have forced data warehousing to become a distinct discipline. Over the years this has led to best…
Read more
Photo by Nicolas Hoizey on Unsplash As more third-party tools provide access to their data sources, companies are looking to build more and more data pipelines that get data into their data warehouses and data lakes. Therein lies a major problem. Data engineers, the ones responsible for building those pipelines are often the bottleneck. Between…
Read more