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Acies Global

Reimagining elections through an analytics lens.

The Empty Cookie Jar.

Five Things you need to consider when designing your Data Stack.

The Art of Hypothesizing

To be Clouded, or Not to Be.

Impact of the Modern Data Stack on Analytics.

New Product Introduction (NPI)

A Brief on Modern Data Stack.

The Mindset of Exploration.

Don’t write off Outliers!

Mar 21, 2024

Reimagining elections through an analytics lens.

Can the election process use analytics to help voters make more rational choices?

Apr 24, 2024

The Empty Cookie Jar.

A scary, scary world, without the multi flavoured cookies, that the jars are usually full of.

Oct 4, 2023

Five Things you need to consider when designing your Data Stack.

Define clear business objectives.

Jun 7, 2023

The Art of Hypothesizing

Before jumping data first into solving a problem, are you spending enough time in asking the right questions first?

Sep 19, 2023

To be Clouded, or Not to Be.

Kumar M writes about how we are back to having conversations about cloud, which seem done and dusted a year ago. With rising costs of compute, security, Generative AI and cloud-first applications, are people staying on cloud? Or moving back to earth? Read, on.

Nov 29, 2022

Impact of the Modern Data Stack on Analytics.

The modern data stack’s ability to seamlessly connect, process, store, and visualize data is transforming analytics in unprecedented ways.

Nov 29, 2022

New Product Introduction (NPI)

Thinking through NPI Forecasting in the Footwear and Apparel Industry.

Sep 7, 2023

A Brief on Modern Data Stack.

In this series on the Modern Data Stack, Prateek writes about a brief context to it for the contemporary readers.

Feb 4, 2021

The Mindset of Exploration.

The lifecycle of a digital solution to a business problem (be it a technology or analytical solution) begins with defining the scope and ...

Oct 2, 2023

Don’t write off Outliers!

In this opening part of a series on Outliers, Mayank Sahu writes about the often neglected, overlooked, and at-times villainized characters of many analytics operations — the Outliers. He will also explain about different types of outliers and very importantly difference between an Outlier and an Anomaly.