A growing business requires taking crucial business decisions from time to time to improve the application in a way to better target customers and increase reach. Taking these crucial decisions can be a make it or break it decision and therefore requires a lot of researching, analysis, and forming various business strategies that need effort and time to formulate.
Analytics can help in making these decisions by evaluating the application’s performance by finding meaningful patterns from the data through analytics tools and converting filtered data to generate visually appealing reports represented in various graphs.
Analytics is a two-step process:
Datasource to store data: Analytic requires data sources to derive analytics and generate reports. Data that has been collected over the years make reports precise with more consolidated data, resulting in better analytics. But, keeping that much record in a database will affect the performance of the application, thus requiring a better archival platform.
BigQuery: Using BigQuery as a data warehouse for analytics is an amazing option. With BigQuery, data that is not frequently used but is essential from an analytics perspective can be archived and used for analytics. Being highly scalable, Bigquery can be used to archive data that has generated over the years.
Converting data to reports: With data sources in place, next, we need to convert this data to reports by blending in various fields as metrics. These reports will contain insights into the application showcasing overall performance.
DataStudio: Data Studio is a free tool that turns data into informative, easy to read, easy to share, and fully customizable dashboards and reports. Exporting data from BigQuery to DataStudio is a seamless process that makes DataStudio an ideal choice to generate reports from data archived in Bigquery.
Analytics is a great tool to increase reach to the customer by formulating business strategies based on reports generated. Thus, helping an organization grow exponentially