Poor quality data can lead to a range of negative impacts on a business, including financial losses, missed opportunities, and reputational damage.
Inaccuracies, inconsistencies, and inadequate maintenance or security can result from various factors, including human error, system issues, data integration challenges, and more.
According to Gartner,
“Every year, poor data quality costs organizations an average of $12.9 million.”
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Nandika Techno Analytics: Your Partner in Data Excellence
Our data quality services prioritize the importance of high-quality data in achieving business success – ensuring your data is clean, reliable, accessible, secure & trustworthy – guaranteeing its value to support your business.
Our Data Quality Framework assess 9 critical dimensions, tailored to your specific needs, covering various data aspects such as tables, structured, unstructured, real-time, or batch processing. We customize our data quality services for different datasets and use cases, prioritizing data quality where it’s most crucial for your organization.
Reliable Data, Real Results: The Nandika Techno Analytics Approach
Our approach to data quality involves five broad steps.
Data Profiling
We delve into your data, examining structure, content, and relationships to unearth potential quality issues. We use column-based and rule-based profiling to ensure alignment with business logic.
DQ Analytics
We provide user-friendly dashboards that offer a clear view of data quality status and pinpoint potential errors. We employ advanced analytics for proactive data quality management.
Validation & Cleansing
We improve data quality at the source to save time and costs, implementing validation checks aligned with business rules for key elements like addresses, birth dates and social security numbers.
DQ Monitoring
Data quality is an ongoing journey. We implement continuous monitoring, tracking data quality progression and ensuring real-time adherence to business rules and handling of exceptions.
Change Management
When data, business rules, or processes change, we follow strict change management protocols, including clear guidelines and robust rollback solutions for seamless transitions.
Automate Data Quality with Nandika Techno Analytics AQuA
Nandika Techno Analytics’ Automated Quality Analyzer (AQuA) is a powerful data quality profiling & test automation tool designed to enhance the efficiency & effectiveness of data validation across the entire data pipeline, from source to consumption. AQuA proves especially valuable during platform migrations, upgrades, or ongoing production data quality monitoring. By expanding test coverage and automating repetitive runs with fresh datasets, AQuA accelerates testing, saves costs & improves accuracy, outperforming traditional manual QA processes
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