A business glossary is the foundation that creates a common understanding of your organization’s vocabulary and data. While the concept isn’t anything complex, the implementation can be quite daunting. In this article we provide the key lessons we’ve learned while implementing a business glossary use case at our clients.
Two weeks ago, we posted a blog article about the three lessons we’ve learned in the past six years of Datashift. We received such great responses to our list of “don’ts,” I decided to share with you a list of three “do’s.” So, back by popular demand, here are another three important lessons six years of Datashift have taught us.
Datashift’s story started on January 15th, 2015. From the get-go, it was clear we wanted to do great things with Datashift. But building a company from the ground up is never a straight line. There are bumps in the road, highs, and lows, but most importantly: lessons learned. As we celebrate six years of Datashift, I'd like to take a look back and share exactly some of those lessons.
The truth is, predicting churn is easy. The hardest part is making it actionable. With this approach you’ll retain only your valuable customers that are about to churn, with a personalized retention action at the right time.
Do most data blogs make you feel like everything you should do is expensive, time consuming and requires complex skills? Well, this blog is different. Here are 5 practical recommendations (in no particular order) to leverage your existing business data with less effort than you think.
One of the advantages of running databases on Azure SQL Database is the ability to dynamically manage them to adapt to changing workload demands. Autoscaling databases is the most cost effective way to increase performance of data operations. In this guide we'll show you how to auto scale your database using Azure Data Factory.
Many organizations struggle with ongoing data issues and are missing the opportunity to use data as a means to profoundly impact their business. What's usually missing is a comprehensive data strategy. Let's have a look at the 5 ingredients a successful long-term data strategy can't do without.
Data governance is no longer optional. Businesses are on a path to data-driven decision-making and privacy laws are dictating the need for data integrity, security and compliancy. Choosing the right data governance software is an essential part of the road to data mastery. In this article we discuss why we believe Collibra is the best data governance tool in the market.
No one likes misunderstandings. We've all been in a "the Italian man who went to Malta" situation before. Annoyingly enough, this situation happens in a lot of businesses too. Many discussions between departments have the same root challenge: different people speaking different 'languages'. In this article, we’ll set the stage to take on this challenge.