Why Manage Data Quality?
Poor data quality will destroy business value. As organizations continue to embrace data, a structured approach to data quality management is critical to your enterprise data ecosystem.
The state of data quality in 2020
O’Reilly survey highlights the increasing attention organizations are giving to data quality and how AI both exacerbates and alleviates data quality issues.
Our Approach
We offer a pluggable solution and data quality best practices for your data platform. Our solutions helps your analyst, data scientists and engineers to automate data discovery, profiling, validation and data quality monitoring for all your data. We utilize Machine Learning (ML) models to detect and alert data quality anomalies for your critical business metrics.
Data Discovery & Profiling
The first step to better data quality
We automatically capture metadata, data schema and statistics about your data. We analyze and profile your data for your team members to search and discover data, describe and tag them. We use data schema and metadata as a foundation for data quality automation and monitoring.
Data Quality Automation
Automate what to expect from your data
We automate data validations as “Expectations”. Expectations are assertions for your data. We implement them in a declarative, flexible and extensible way. Expectations are configured to execute when your datasets change and capture data quality issues to report them to your teams on a timely manner.
Data Quality Monitoring
Anomaly Detection & Alerting
We deploy pre-trained Machine Learning models to monitor data anomalies. Leveraging the power of proven machine learning algorithms; we predict and validate business critical qualitative and quantitative metrics and alert your data teams to take predictive actions.
Our Solution
Data Quality Solution Focus
Companies who trusts us with their data quality
Engage with us
Data Quality Assessment
Witness the value of automated data quality before making an informed decision. We will run automated data quality validations on your critical datasets and give you a comprehensive quality report. We will also provide recommendations to improve your data quality.
Project Services
Don’t let data quality issues slow down your AI/ML projects. Utilize our proven, ready to deploy automated data quality validations for your AI/ML projects and see how our data quality solution can enhance your project outcomes.
Managed Services
Organizations that have dedicated data quality teams use analytics and AI tools at a higher rate. We can be your data quality partner to take care of your end-to-end data quality needs with 24x7x365 data quality monitoring and alerting services.
Insights
Our library created by our subject matter experts on their insights, observations, delivered through blogs, case studies and infographics.
Let us help you to improve Data Quality
