How Analytics are used: Earlier, companies used historical data and evidence to forecast application trends. Nowadays, there is a revolutionary change in data information as we have the Internet and social media in place, which provide large-scale data and make it difficult to extract useful information. Analytics provides an effective means of crunching useful data from large amounts of data.

How Analytics improve applications: Higher level management can track the direct progress of a project by accessing charts, which easily display data and comparisons. Analytics provide directions to management by telling them whether the milestones are met and the project costing is in control. It also provides detailed analysis for a broader view. Let's say you want to know about the total time spent by a user on your application and what small shift can improve the outcome. Analytics helps management in prioritizing such tasks to maximize productivity.

How organizations can best use Analytics: Analytics help managers assess the viability of their applications and gauge the applications that meet the benchmarks. It's important for managers to gather all these records and data for projects important to check how these changes in the application impact customers.

Using Analytics for projecting outcomes: Analytical data provides better insights to an organization about delays in product delivery to customers, and how it affects the company profit.

Using Analytics to create strategies: Data helps in forecasting and planning resources and requirements. It also empowers organizations to see the potential in the application idea and its scope in the market. It provides a better way to create business strategies rather than assuming and forecasting to lay strategies.