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...
When anyone sets out to design and market a new product or system of any kind, their first inclination is likely to be to make the first release of that product or system the most functionally rich and complete that it can be. There is, however, a growing acceptance that releasing a minimum viable product (MVP) to early adopters is a far more efficient way to develop a new product or system and one that will ultimately lead to a much better deliverable. What is a Minimum Viable Product? The concept of a minimum viable product, which has been popularized by Silicon Valley entrepreneurs Steve Blank, and Eric Ries, is a design and development process in which a new product, such as an app, is developed and initially released with only sufficient functionality to satisfy the needs of the early adopters. Further features and functionality are only added to the product after consideration has been given to the feedback that has been received from those early adopters. A minimum vi...