Data Engineering Blogs

Often ignored aspects of Google Analytics Discover the overlooked aspects of Google Analytics (GA) that hold tremendous untapped potential for marketers and eCommerce entities. Learn

The milestone of setting up a data warehouse for an organization itself is a significant achievement! And of course, the next phase comes with its

Data integration essentially involves channeling enterprise data from various sources into one place. Data Integration Platforms and tools are focussed to provide a harmonized view

Daton doesn’t prefer replicating your data in real-time, but why? Because it is not productive for most of our users if you consider technical and

In today’s highly competitive world, businesses are becoming digital and data-heavy. Businesses need to use the latest technology to remain ahead of the curve. ETL

Data scientists need to master certain skills to convey complex data insights effectively. Here, we have listed down the top data science skills that can

Why should brands invest 1% of revenue on data initiatives? If you are a brand making $10M in revenue, we would recommend budgeting 1%-2%, i.e.

How should Brands approach Customer 360? My first project at my very first job, was building a golden customer record. “Golden Customer Record”? What is

How to become Investor-ready from a Data Standpoint? Investors looking for the next big thing to invest in inherently go for companies that have a

Hiring a Head of Data? 9 key insights for maximizing your data investment In this article, I’d like to share a few insights that I’ve

It is not uncommon for D2C (Direct-to-Consumer) brands to complain to their web development agency about analytics tracking issues. D2C brands rely heavily on accurate

Direct-to-consumer (D2C or DTC) brands have been increasingly popular in recent years as more and more consumers turn to online shopping. However, these brands often

Room vs House: Which data model suits your brand? Digital brands with well established product market fit often scale rapidly due to lower cost structures,

Are you Building a One-Person Data Team? You need to think again! As a company, we focus on helping brands make sense of their data.

How should Brand Owners think about their Data and Data Team? Building a brand is not easy. It requires passion, the commitment to take a