Sort By
Data Science &BA
Featured
Case Study on Optimizing Retail Operations with Business Analytics and Data Science.
Trending
Bank operates a main location and three branches locations in a medium-size city. All four locations perform similar services, and customers typically do business at the location nearest them. The bank has recently had more congestion long waiting lines than it (or its customers) would like. As part of a study to learn the causes of these long lines and to suggest possible solutions, all locations have kept track of customer arrivals during 1-hour intervals for the past 10 weeks. All branches are open Monday through Friday from 9 A.M. until 5 P.M. and on Saturday from 9 A.M. until noon.
Financial analytics is the use of tools and processes to combine and analyze datasets to gain insights into the financial performance of your organization. Bringing together data from all your systems gives you a holistic view of your business and broader insights which help you to predict and improve performance.
Consumer or customer trend analysis informs the factors that drive product consumption. Understanding the needs and behavior of customers and what influences their purchase decisions. Use these valuable insights when launching a new product or service, to see how it will impact the market and your target audience.
Trend analysis tries to predict a trend, such as a bull market run, and then ride that trend until data suggests a trend reversal, such as a bull-to-bear market. Trend analysis is based on the idea that what has happened in the past gives traders an idea of what will happen in the future. Trend analysis focuses on three typical time horizons: short-; intermediate-; and long-term