I was always a debater, so much so that I was a constant presence in intraschool debate clubs. I feel the activity of debating to be invigorating enough to open up new avenues of thought while truly liberating one’s soul. But wait, the topic is not about my debating experience, is it? However, this one...
The field of data analytics and business intelligence has undergone significant advancements in recent years, with the emergence of new technologies such as Natural Language Processing (NLP). NLP is a subfield of artificial intelligence (AI) that deals with human-machine interactions. It involves processing and analyzing large amounts of natural language data, that is useful in...
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....
As the saying goes, “You can’t improve what you don’t and can’t measure.” By “measurement”, we mean collecting enough data or evidence of what has happened or how things have happened. This applies to both human processes and machines, in the form of data dumps from edge devices. Both individuals and companies put in significant...
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....
A brand or sales manager and his/her team managing a big region in the sportswear sector would operate at least 70+ retail outlets including multi-brand stores. Planning for inventory including models starts at least 6-8 months before the start of the season. What quantity of running shoes should the manager order for the next season?...