ETL, Extract, Transform, Load, underpins today’s data-driven businesses, even if it’s an abbreviation you don’t hear quite often. It plays a vital role in helping business users to deliver actionable insights and ultimately drive decision-making.
ETL is a process of collecting and processing complex, bi-directional customer data from a wide range of sources and storing it in a database where it can be analyzed and used. Companies have access to a plethora of data sources but most of the time that data is presented in a less useful way. The outcomes of that analysis help business users build effective business strategies and make decisions.
What is an ETL Technology?
As the abbreviation suggests, ETL is a three-stage process that includes:
Extract: This is the first step that allows users to extract data from all kinds of sources into a staging area. In other words, it facilitates targeting a data source and pulling data out of it so that information can be easily transformed, integrated, stored, and used. In order to ensure the success of the process, data needs to come directly from multiple sources and in the rawest form.
Transform: After extraction, data needs to be stripped of all formats, cleansed, and harmonized. This step makes the collected data easier to read for all users, non-technical and technical. Ensuring the highest possible data quality is important for this process to deliver desired outcomes. This includes identifying, removing duplicates or errors, and sorting data into relevant as well as predetermined categories.
Load: Once the data has been transformed, users need to be stored in a data lake or data warehouse. In the final step, data is harmonized and finally loaded into a target database. Here, the data can be analyzed to produce actionable insights for future analysis.
How Does it Prove Useful in Business?
ETL software is essential for organizations as it saves the time spent on data extraction and preparation. The time saved could be spent on evaluating and using that information in kickstarting business growth. Each of the three components of this software helps users reduce the time and effort involved.
Extraction Phase: Consider a common phrase, “A chain is only as strong as its weakest link”. This is true for ETL too. In the ETL process, the strength lies in its first phase i.e. extraction. Users determine various data sources, priorities, and refresh rates in this stage – all of which impact the generation of time-to-insights.
Transformation Phase: When data is extracted into an ETL environment, it is being transformed to bring clarity and order into the database. For example, dates are consolidated into particular time slots, transactions are modelled into events, strings are parsed to their business meanings, data is translated to coordinates, errors are corrected and more.
Loading Phase: In this last and final phase, the targets and refresh rates are determined. Either it can be done incrementally or it can be updated while insertion happens.
What Are its Benefits?
The best ETL integration software solutions enable business users to handle large volumes of data and deliver actionable insights. The information can be leveraged by:
- Sales team as they have access to information about customers.
- Marketing team needs to estimate campaign conversion rates and design a strategy.
ETL integration tools create an environment that enables users to diverse data demands without getting lost in parallel data versions. Users can savor many benefits of these solutions, some of them are:
Improved Data Governance: ETL integration improves data management by facilitating the availability, usability, integrity, and security of enterprise data. These tools also deliver a centralized view of the ever-expanding data.
Business User and IT Empowerment: A lot of companies can rely on self-service-based ETL integration tools that empower even non-technical users to extract, transform, and load without IT intervention. IT teams need to govern and monitor these processes. As a result, IT teams are freed to focus on more important tasks and ultimately improve the ease of doing business.
Better Decision-Making: By storing data into a database, users can access data and extract insights to drive decision-making.
Delightful Customer Experiences: As decisions get quickly made, companies are more likely to deliver on customer needs and requirements at the speed of business. This increases customer delight and satisfaction and therefore revenue.
