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Collaboration: The Core of a Data-Driven Organization

Avatar photo Paul Korzeniowski Sep 15, 2020
Being Data-Driven

Data is a good news/bad news situation. The good news is that companies have more information at their disposal than ever before. The bad news is that they may not know what to do with it. The first step to…

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How Ecommerce Analysts Can Prep for the Holiday Season

Avatar photo Andrew Pearson Sep 8, 2020
Being Data-Driven Best Practices

“It’s the most wonderful time of the year,” sang Andy Williams about the Christmas season, but a “wonderful time” might not be how analysts working in e-commerce and retail see the incredibly busy and stressful season. According to the National Retail…

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How to Propose a Data Stack

Avatar photo Anders Schneiderman Sep 3, 2020
Best Practices Data Stack

You’ve spent a bunch of time figuring out the best data stack for your company.  It was hard work, and occasionally it was frustrating, but mostly it was fun. Now for the un-fun part of the process: putting together a proposal…

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What is Data Transformation, Anyway?

Avatar photo Peter Weinberg Aug 24, 2020
ETL and ELT

If you work with data of any real size, chances are you’ve heard of ETL before. If not (or if you just like having your memory refreshed), here’s a summary: ETL is a framework for moving data from transactional databases,…

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Why Data Analysts Should Adopt a Product Mindset

Avatar photo Anders Schneiderman Aug 18, 2020
Best Practices

There’s nothing more aggravating for a data analyst than sweating over a great analysis or dashboard only to have it go unused.It’s easy to feel that the problem is your (ungrateful) users. Most of the time, it isn’t.The real issue…

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A Redshift Pricing Guide for CTOs

Avatar photo Alon Brody Aug 6, 2020
Redshift

If you’re thinking about creating a data warehouse from scratch, one of the options you are probably considering is Amazon Redshift. Redshift is very powerful, but figuring out how much it’ll cost can be tricky.In this article, we’ll explain how…

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Analyzing Business Needs: The First Step in Your Data Warehouse Project

Avatar photo Anders Schneiderman Jul 27, 2020
Best Practices

Every week, analysts around the globe are working hard to create data warehouses.And far too often, most of their effort is wasted.Why? Because it’s easy to create the right solution for the wrong problem.If you build a data warehouse that’s…

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5 Reasons You Need a Data Warehouse

Avatar photo Panoply Jul 21, 2020
Data Warehousing

Some people think you only need a data warehouse if you have huge amounts of data. That used to be true. It’s not anymore.These days, any business that uses Salesforce, Shopify, Twitter, an online accounting tool, and other online systems is…

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How Financial Tech Company LendStreet Embraces Financial Data

Avatar photo Jason Harris Jul 17, 2020
Being Data-Driven

LendStreet is a consumer financial health platform that offers loans to assist Americans who are  deeply indebted. The product is quite complex and what we build internally is the entire customer experience as well as administrative software, which works with…

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Views: The Key to a Successful ELT Data Warehouse

Avatar photo Anders Schneiderman Jul 14, 2020
Data Warehousing

You need a data warehouse, but a data warehouse is worth nothing if it doesn’t contain – data! The first step to start seeing benefits from your data warehouse is to ingest data, and there are two main data ingestion…

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Shopify Business Intelligence And Data Warehousing Step-by-Step

Avatar photo Belma Mesihovic Jun 23, 2020
Data Warehousing

A data warehouse is a place to store data solely for the purpose of analysis. That may not seem that interesting—and it isn’t—but its the capabilities that a data warehouse offers for optimizing your ecommerce business that makes things interesting.…

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ELT Data Pipeline Tools: Find the Best Options

Avatar photo Adam Murphy Jun 9, 2020
ETL and ELT

Good analytics is no match for bad data. Bad data wins every time. That’s why we’re talking about the tools to create a clean, efficient, and accurate ELT (extract, load, transform) pipeline so you can focus on making your “good analytics”…

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