22 Mar
A post-GPT World
Lots has been happening in the GPT world over the past couple of months. If you have not played around with ChatGPT, been awed by its generative capabilities, or even worse, have not heard about it, you must be living on a different planet. The Twitter trends on what people have been asking ChatGPT, and its answers,...
27 Feb
The 4 Great Shortcomings of Modern Self-Serve Analytics
In today’s data-driven world, organizations have access to vast amounts of data. This data can be used to gain valuable insights into business operations, customer behavior, and industry trends. However, not all business users have the technical expertise to work with data or create meaningful visualizations. This is where self-serve analytics tools come into play....
25 Feb
Top 10 Challenges every Data Leader Faces with Traditional BI Tools
Business intelligence (BI) tools are critical for data-driven decision-making. They have been a critical component of enterprise IT infrastructure for decades. They provide decision-makers with insights into their business operations, helping them to make informed decisions and improve their bottom line. However, traditional BI tools with legacy technologies have limitations that can hinder their effectiveness....
28 Oct
What is Master Data Management?
Master Data Management (MDM) is the use of tools, processes, and solutions to help an organization manage its master data. It involves the creation of a unified view of all data across an organization and allows for the identification of gaps in data quality. Defining Master Data Management Master Data Management is the process of...
20 Oct
Exploring the Concept of Data Governance: Definition, Need, and Process
In today’s digital world, organizations need to get smarter about managing their data. They should have a clear idea of what their business is trying to accomplish by using data, what kind of data they have and how data can be used to serve their customers and partners better. This article will help you understand...
27 Sep
The What, Why and How of Data Mesh
Some context. Remember, the primal goal of any data effort is not about capturing and storing, it is very much about turning that data into Information that is useful, making it easily accessible to anyone who needs it to make sense of it and become knowledgeable. Simple need indeed. As they say, necessity is the...
