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Modern Data Stack: Past, Present, & Future!

Modern Data Stack: Past, Present, & Future!

A group of technologies that comprise a data pipeline is referred to as the modern data stack. It enables businesses to gather data from multiple data sources, push it into a data warehouse, and connect the data warehouse to a business intelligence tool for tasks like data visualization to speed up decision-making.

This article highlights the top Knowi achievements for 2023

2023 Knowi Wrapped: A Year of Transformation and Innovation

In the fast-paced realm of data management, the year 2023 was nothing short of transformative for our dedicated engineering team. As the driving force behind the scenes, they tirelessly worked to enhance our capabilities, introducing a myriad of features and bug fixes that propel our mission forward. In this comprehensive compilation of the year’s achievements, …

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What is snowflake

Snowflake | What it is, and how it’s become successful

Snowflake is one of the most preferred cloud data platforms today. This post discusses why it’s become successful, who its competitors are, it’s pricing models, and its integration with various BI tools like Knowi

Lemonaid Health

How Lemonaid Health Monitors Performance with Knowi

Our friends at Lemonaid Health use Knowi to manage their day-to-day operations and deliver business performance reporting across their teams and provider partners. Here is a little summary of their story.

Baseball match

Baseball Stats and Analytics

Often times what we perceive as logic contradicts reality. In psychology, this tendency of believing we know more than we actually do is known as overconfidence. Too frequently do people solely rely on their intuition and logic to make decisions rather than basing them on data and analysis. During an observational study, I discovered a contradiction between my own logical reasoning and what the data actually suggested in regards to baseball.

Data Science Vs. Big Data

Mergers, Acquisitions, and The Future of Data

The movement in the market, mainly by what we consider Generation 2 companies- those born around 2008-2012- sets up the Analytics industry for the future. And a big part of that future is the implementation of Artificial intelligence (AI) and Machine Learning into virtually every aspect of our lives.