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Automating Data Transformation: 5 Reasons to Do It

Why is automating data transformation a good idea? There are a few clear answers that come to mind immediately:

  • We need reduce time to insight as much as possible. Manual processes can only enable your data team to go so quickly.
  • We need to transform more data than ever before. Therefore, simply getting through all of it requires automation help.

Automating part of all of data transformation helps us make that happen. But besides making life easier for your data team and giving your organization the kind of insight they need to compete in a data-driven world, automation has several additional benefits for your business. Here are five additional reasons you should consider automating data transformation.

1. To ensure that records are always up to date

Automating data transformation methods and processes can help companies regularly ingest new data so that up-to-date records are available when needed. In today’s world, if you’re not operating with at least same-day information, you’re likely to be making outdated decisions.

2. To enable your teams to focus on top priorities

Automation can help your BI team deliver timely, relevant, insightful reports to the management team. But it can also free up business intelligence resources to work on critical, innovative initiatives that are strategically vital to the business. Your team might be wasting time on labor-intensive, manual transformation processes. Instead enable them to focus their brainpower where human intelligence brings the most benefit: solving complex problems and thinking strategically.

3. To drive better decision making with more accurate information

Faster access to more complete and accurate reporting in turn enables the management team to make faster and smarter business decisions that help the business grow and innovate in both the short term and the long term.

4. To be ready for machine learning (ML) and artificial intelligence (AI)

Though we are just on the cusp of integrating machine learning and AI into analytics, automated ETL processes will only be more important in preparing data for ML and AI models. Especially as the data we collect continues to multiply exponentially and business moves at a faster pace.

5. To run a more cost-effective business

And last but definitely not least, time is money. Automating the ETL process and other aspects of the data journey helps reduce costs and use resources more wisely.

To learn more about how automating data transformation can help your business move faster, think more strategically, and serve your customers better, download our ebook, “Accelerate Time to Insight: Speed Up and Simplify Data Transformation By Automating Processes.”