Organizations that want to leverage the power of data should consider adopting ETL. In today’s world, even a single piece of data can make a big difference in profitability. With standardized data, teams can make well-informed decisions, and it leads to better business intelligence. ETL ensures easy and uniform access to data for all the teams.

Therefore, organizations need data integration in the form of ETL to gather and standardize data and prepare it for analysis in one location. Most of the useful data is unstructured and scattered across multiple sources. Why do organizations need ETL?ĭata is one of the biggest assets of an organization. It enables the organization to understand customer needs and provide them a highly personalized experience. When the company can easily analyze their data that is all in the same language and in the same location, this gives the organization an accurate 360-degree view of the customer’s interaction with their brand. ETL collates all these customer data from various sources, transforms the data to adhere to a standard format, and then loads it into a data warehouse or other data source for analyzing. Customers interact with a brand in different ways. One of them is deriving value from the customer data. ETL helps organizations to efficiently utilize data by extracting, transforming and loading data across various systems to enhance their business intelligence.ĮTL has numerous use cases across multiple fields. Many have trouble moving the data out of their source systems, translating it into a common language, and loading into another system so they can analyze it in its entirety to get a complete view of their data. However, many organizations stumble at the diversity and the volume of the data.

Extract transform load process