In a quickly evolving business landscape, effective and strategic data transformation can revolutionise the way you work, helping your organisation thrive.
By understanding how to implement strong data transformation tools and approaches, you can usher your business into a new era of integration and management success. This can help you grow your impact and improve your work process.
How can data transformation help you revolutionise your business going forward? Here’s everything you need to know about the new wave of data.
What is data transformation?
Data transformation is what happens when you convert data from one format to another. Often, this accommodates the differences between a data source system and the destination system where you want to store information.
Effective data transformation is becoming increasingly critical to professional success. It is an important part of data integration and management, including data wrangling and warehousing tasks.
Executed well, good data transformation approaches can help you keep clearer track of important data values and formats, giving you the knowledge and resources you need to take your business to the next level.
How to implement data transformation at your organisation
How do you implement data transformation at your organisation? Follow these steps.
Build a pipeline
First, you need to establish a smooth-running data pipeline that intuitively takes data from its source to its destination.
Ideally, your data pipeline should follow a logical progression and include visual elements that make it easy to examine and interact with.
With a well-designed data pipeline, you can steer your data in the right directions, tracing lineage and identifying transformations as they occur. This offers optimal data control.
Design a process
Likewise, it’s important to design a data transformation process that works for your business and the objectives you’re trying to achieve.
The best way to design your data pipeline is by using specific logical patterns, including inputs and outputs. Use declarative definitions, and aim to reduce complex code where possible.
Effectively designing your data transformation process can be challenging, but it will save you time stress later on by simplifying your overall data management protocol.
Set up notifications
Good data transformation pipelines should be queryable and should be designed so that you receive a notification when underlying data has been altered.
Set up a robust notification system that keeps you in the loop and up to date with all the latest transformations. This way, you’ll also have the latest information.
Planning ahead can help you maximise your understanding and make sure critical transformation details are noticed.
Monitor your system
Finally, it’s important that you continue to monitor your data transformation system and look for new ways to improve your approach.
Keep a close eye on your data pipeline, and understand how it serves the needs and goals of your business. Ask questions, and identify opportunities to enhance your process.
Monitoring your data transformation means that you can continue growing and improving your business, aiming for ongoing success into the future.
Looking for guidance and support as your business pursues data transformation? Contact Atturra today.