Big data is big business these days. Organizations that hope to get ahead in crowded markets must utilize data from a variety of often highly disparate sources to understand how they’re performing and what customers are saying about them. However, data without the right analysis and reporting tools is just a waste of digital storage…
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It’s that time of year again. When data leaders, VPs and Directors need to start planning out their data roadmap. Of course, this brings up an important question, how should you start planning out your data roadmap? Especially if you’re data team has found itself stuck in the data service trap. Simply providing data and…
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Photo by Austin Distel on Unsplash Success in the data world hinges on team setup. I’ve delved into onboarding and standards in previous articles, but never into the structure of data teams. Typically, there are three configurations: Centralized, Decentralized, and Federated. Most companies I’ve seen use a mix of these. While the newest tech breakthroughs…
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Photo by Lukas As you increase your analytical processes and abilities, you’ll unavoidably increase costs. But there are definite ways to avoid having your costs grow at an unsustainable rate. This is the topic of a panel at the Modern Data Stack Conference featuring Maura Church, ex-director of data science and data engineering from Patreon.…
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Photo by Fotis Fotopoulos on Unsplash Recently several consulting calls started with people asking, “Do we need a data warehouse?” This isn’t a question about whether you need data warehouse consultants, but instead whether you should event start a data warehouse project. Which is a very fair question. Not every company needs a data warehouse.…
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.Companies generate far too much data to visually grasp exactly what is happening via spreadsheets. Data visualization is the way that access to this data has been made available to everyone within a company. No longer is the IT department the gatekeeper to useful information about your customers, users, visitors, and funnels. One popular solution…
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Photo by Sigmund on Unsplash Companies in all industries and of all sizes now deal with an ever-increasing amount of data, far beyond human comprehension. This vital information is rendered practically useless unless you have an efficient way to process and analyze it to reveal valuable insights within the clutter. The ETL (extract, transform, load)…
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Data and analytics teams are often responsible for several key pillars in a company. This can pose a challenge when you’re the head of data and analytics and you need to pick your next data project. Where do you even start when you’re constantly bombarded with requests from your management team. In this article I…
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Photo by JESHOOTS.COM on Unsplash Depending on your outlook, your small business might be inspired or intimidated by data science. No matter which end of the spectrum you’re on, one thing you can’t afford to do is ignore it. Data may be the single most important thing you can use to boost profits and cut…
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Companies are continually setting up programs and initiatives to become more data-driven. Millions are being spent on new infrastructure, hiring employees, and creating processes to drive value with data. The need for better tooling, faster data, and experienced data professionals will become even more important as data sources, size, and speed grow. However, eventually, the…
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