Posts by Giana Reno
How to Ensure Data Integrity During Cloud Migrations
The cloud is the best place to host your data and systems, and high-quality data is essential to successfully migrate everything to the cloud. Fortunately, there are several things you can to do prepare and ensure your data integrity during cloud migrations. Implement the procedures listed below to ensure that only high-quality data gets transferred…
Read MoreWhat an Automated Data Validation Tool Can Do For Operational and Transactional Data
Do you know how an automated data validation tool can benefit your business? Data validation ensures that you’re always working with clean and accurate data. You can try to validate your data manually but automating data validation is a much better approach for most businesses. Read to learn why. Quick Takeaways Data validation ensures that…
Read MoreData Quality Management: The Complete Guide
How much do you know about data quality management? Data quality – measured in terms of consistency, accuracy, completeness, and other attributes – can make or break any organization. Data quality management encompasses a series of best practices to evaluate data quality and then clean and repair low-quality data. Read on to learn everything you…
Read MoreHow to Automate Data Monitoring: 3 Key Areas to Streamline
For 62% of businesses, a lack of agility in data processes hurt their response to changing business needs. A practical solution to this challenge is to automate data monitoring to help companies improve the customer experience and employee productivity. But how can a business convert its current data monitoring method to an automated one? Understanding…
Read MoreHow to Minimize Data Analysis Costs for Your Enterprise
Data collection and analysis are vital for organizations. Although, they are becoming more costly than ever. Does your organization know how to minimize data analysis costs? Depending on the size of your enterprise, you can spend hundreds of thousands to hundreds of millions of dollars managing your essential data. It’s important to reduce these data…
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