Why do you need a Data Assurance Framework?
In a highly competitive and fast-moving world, data is the most valuable asset for any business. Maintaining the integrity and quality of your business data is therefore crucial. However, ensuring data quality assurance often comes with its own set of challenges.
Lack of data standardization
One of the biggest challenges in data quality management is that data sets are often non-standardized, coming in from disparate sources and stored in different, inconsistent formats across departments.
Data is vulnerable
Data breaches and malware are everywhere, making your important business data vulnerable. To ensure data quality is maintained well, the right tools must be used to mask, protect and validate data assets.
Data is often too complex
With hybrid enterprise architectures on the rise, the magnitude and complexity of inter-related data is increasing, leading to further intricacies in data quality management.
Data is outdated and inaccurate
Incorrect, inconsistent and old business data can lead to inaccurate forecasts, poor decision making and business outcomes.
Efficient data quality assurance practices can enable data completeness and good decision making in your organization.
IDAF offers automated data validation to accelerate data assurance for your business and help you
Are you ready to transform your data validation with a robust data assurance framework?
Our iDAF Services
Data Lake / Data Warehouse Testing
Data validation is performed to ensure that all the qualified data from source systems are extracted, transformed, and loaded into each layer and the data is fit for purpose.
Data Validation for App Modernization / Cloud Transformation
We perform robust validation of all the data aspects in all of application modernization / cloud transformation initiatives be it rehost or re-platform or refactor to ensure data completeness.
Data Validation for Advanced Analytics
Efficiency of the analytical models depends on the quality of data fed to the model during training and in MLOps production pipelines. Our iDAF offering improves the data quality for model building and model pipelines
Data Validation for App / Infrastructure Upgrade
IDAF validates underlying data models / data as part of the upgrade from legacy infrastructure / version to a new infrastructure or newer version of your application software.
BI / Reports / Data Visualization Testing
We also generate business intelligence reports for data consistency, appearance, performance, and improved decision making
Ensure data completeness, accuracy, improved decision making and make the most of your business data with our iDAF services.
Why Choose iDAF for Your Data Testing?
With iDAF, you can streamline data assurance across multiple heterogenous data sets, avoid data quality issues arising during the production stage, move away completely from the inaccuracy and inconsistency of sample-based testing and increase 100% data coverage.
iDAF leverages data best open-source big data tools to perform base checks, data completeness, business validation, reports testing and 100% data accuracy.
Heterogenous data sources we work with seamlessly
With iDAF, you can streamline data assurance across multiple heterogenous data sets, avoid data quality issues arising during the production stage, move away completely from the inaccuracy and inconsistency of sample-based testing and increase 100% data coverage.
iDAF leverages data best open-source big data tools to perform base checks, data completeness, business validation, reports testing and 100% data accuracy.
We leverage iDAF to carry out automated validation between target and source datasets for
It provides a graphical dashboard view of all data inconsistencies, thereby enabling you to quickly make informed decisions.
Automate and optimize your data assurance practices with iDAF’s an exclusive data validation framework.