Arpit Choudhury

Published in The Data Beats Collective

·Nov 10

Analysis Interfaces

Spreadsheet, Dashboard, Notebook, Canvas, BYOI — For the last 3 years, I’ve been a keen observer of the data landscape and fortunately, I’ve had the opportunity to learn from many innovative teams who spend their days reimagining how humans work with data, and how data can do more for them. Infrastructure and quality aside, I hope…

Data Visualization

4 min read

Data Visualization

4 min read

Published in The Data Beats Collective

·Sep 19

The Modern Data Track 🎶

Introducing the Data Beats theme song — come, sing along!🎤 The Modern Data Track is heavily inspired by In the End (Linkin Park) and Take A Look Around (Limp Bizkit). It starts with.. Ingestion, from a data source, To a destination, where the data goes. Your website or app is your first-party…

Data

2 min read

Data

2 min read

Published in The Data Beats Collective

·Jul 1

Introduction to Account-level Data

Why B2B SaaS companies must support this data structure — This guide will help you understand account-level data in the context of B2B SaaS and the role of accounts in the customer lifecycle. It will also provide tips to make account-level engagement work. By the end of this guide, you should have a clear understanding of account-level data, and if…

Data Modeling

10 min read

Data Modeling

10 min read

Published in The Data Beats Collective

·Jun 30

Warehouse-native Apps Explained

SaaS tools built on the data warehouse — also known as connected apps — A warehouse-native app is any SaaS tool that can run on top of a customer’s data warehouse, without the need to ingest and store any data. In other words, a warehouse-native app vendor enables its customers to bring their own data warehouse to the vendor’s application which then performs tasks…

Warehouse Native Apps

5 min read

Warehouse Native Apps

5 min read

Published in The Data Beats Collective

·May 27

Let’s Bridge The Gap Between Data People And Non-data People

It’s about time — The data landscape has evolved at a tremendous pace since the onset of the pandemic and the unprecedented level of VC-fueled innovation has given rise to a ridiculous number of new data tools. While this surge has been a boon for data practitioners whose workflows have been greatly improved, it…

Data

4 min read

Data

4 min read

Published in The Data Beats Collective

·Apr 29

Data Activation In The Modern Data Stack

So hot right now! — The activation layer of the modern data stack is my favorite since it allows you to take action on the data — in the tools you depend on — to build personalized, data-powered experiences. You finally get to go beyond looking at dashboards and utilize data in a meaningful manner…

Modern Data Stack

8 min read

Modern Data Stack

8 min read

Apr 18

The Modern Data Stack Is Not an End State

The finish line is an illusion — A car comprises four essential components — the chassis, the engine, the transmission system, and the body; then there are auxiliary parts without which a car can run, but it’s not practical to drive without indicators or air-conditioning. The modern data stack is not like a car and shouldn’t be…

Modern Data Stack

4 min read

Modern Data Stack

4 min read

Apr 15

The Modern Data Stack Has a Hiring Problem

We need more semi-technical data talent — Software engineering is a mature practice with a clear set of roles one needs to hire for to build a piece of software. Setting up a data practice is a lot less straightforward and unless you have a strong understanding of all the moving parts of a data stack, you…

Data

4 min read

Data

4 min read

Mar 24

The Modern Data Divide

Between GTM and DE — The good thing today is that there are so many different tools and technologies available to solve a certain problem. The bad thing is that there are so many different tools and technologies available to solve a certain problem. Go-to-market (GTM) teams — product, growth, sales, marketing, and customer success…

Data

4 min read

Data

4 min read

Published in Bigeye

·Feb 11

4 Data Quality Categories to Watch in 2022

“No data is better than bad data” is a phrase you’ve probably heard from a CEO who started their keynote with these words — only to then suggest that every forward-looking organization needs to collect every data point they can in order to become data-driven. On a serious note, though…

Data Observability

5 min read

4 Data Quality Categories to Watch in 2022

Data Observability

5 min read