I n troduction In today’s data-saturated world, successful businesses aren’t just collecting data but making sense of it. Whether you’re a startup looking to optimize operations or an established enterprise aiming to uncover new revenue streams, business analytics is the key to unlocking smart, strategic decisions. But getting started can feel overwhelming without the proper foundation. That foundation starts with the tools . From organizing raw data to visualizing insights and making data-backed decisions, the right business analytics tools can help transform your business from reactive to predictive, even prescriptive. In this article, we’ll explore five essential tools that every business needs to build a solid analytics strategy and how they fit into a broader data engineering solution designed by data engineers. Top 5 Tools for Business Analytics Power BI / Tableau: Visualize to Realize The first thing that likely comes to mind w...
Python is a general-purpose, high-level, object-oriented, and easy to learn programming language. It was created by Guido van Rossum, who is known as the godfather of “Python”. Python is a popular programming language because of its simplicity, ease of use, open-source licensing and accessibility — the foundation of its renowned community which provides great support and help in creating tons of packages, tutorials, and sample programs. Python can be used to develop a wide variety of applications — ranging from Web, Desktop GUI based programs/applications to science and mathematics programs, and Machine learning and other big data computing systems. Let’s explore the use of Python in Machine Learning, Data Science and Data Engineering. Machine Learning Machine learning is a relatively new and evolving system development paradigm that has quickly become a mandatory...