Analytics

Introduction: Data visualization is the graphical representation of data and information. It allows us to present complex data in a simple, easily digestible format, making it easier for us to understand and make decisions based on that data. Data visualization tools have become an essential component of any business or…

The demand for strong and competent data analytics skills will continue to be on the rise as firms struggle with understanding and effectively utilising the invaluable data collected over the years, according to the report. The World Economic Forum predicts that by 2022, data scientists and analysts will become the…

Written by Ankitha Venkata and Abdulrahman Idris Goal of Our Project Airbnb is a website where people can book vacation properties that are listed by different hosts based on availability, price, reviews, amenities, etc. …

Salesforce Lightning is a powerful platform that helps businesses improve their customer relationship management (CRM) activities. One of the key features of Salesforce Lightning is its Usage feature, which provides detailed insights into how users are interacting with the platform. …

Throughout my career, I had always resisted doing forecast, in the name of analytics. There were a few reasons: 1) I was never very good at processing large Excel spreadsheets. I also have strong imposter syndrome of my own instincts when they are applied to business outcomes. 2) I know…

Hello! My name is Aya Spencer, and I am a senior analyst at Kapor Capital, an early-stage impact fund based in Oakland, California. Today, I’d like to share how you can utilize Synaptic to assess the health of your portfolio. Note: I am not an investor in Synaptic at the…

Making a decision on where to establish a new branch is a significant responsibility. The consequences of errors can be costly, particularly in industries that require substantial capital investment. Typically, management experts make such decisions based on their understanding of the city, industry, and previous experience. In this article, the…

Why so many dialects? IBM originally developed SQL in the 1970s, and since then, many different companies and organizations have developed their versions of SQL. Each company had its own specific needs and requirements, which led to the development of different SQL dialects. Database vendors have added extensions and enhancements to SQL to differentiate…