Automation-based Data Quality reporting platform for Snowflake Cloud
Maximize Efficiency & Optimize IT Spending with Our 3-Step Data Quality Formula
✅ Eliminate manual work – Say goodbye to time-consuming, error-prone data validation. Our automation frees up your team for strategic initiatives, reducing operational overhead.
✅ Optimize IT budget – Cut down on unnecessary infrastructure costs and manual interventions. By automating data quality checks, you ensure efficient resource allocation without hidden expenses.
✅ Make smarter, data-driven decisions – With real-time insights and automated reports, you gain full visibility into data integrity, allowing you to act proactively and avoid costly mistakes.
Save time. Cut costs. Drive business growth with confidence.
Financial Costs of Poor Data Quality
$3.1 trillion annually is the estimated cost of poor data quality to the U.S. economy. This figure was reported by IBM in 2016.
Productivity and Efficiency
Businesses can spend up to 30% of their time dealing with data quality issues instead of focusing on strategic initiatives. This statistic comes from Experian’s Global Data Management Research (2020).
Decision-Making Accuracy
57% of companies reported that data quality issues negatively impacted their customer satisfaction and decision-making, according to a survey conducted by Dun & Bradstreet (2019).
Revenue Growth
Companies estimate the cost of insufficient data to be 15% to 25% of revenue for most companies, as the MIT Sloan Management Review (2017) reports.
Cost Savings through Automation
Automating data quality checks can reduce data management costs by up to 40%, according to a study by Gartner (2021).