Poor-quality data undermines business digital initiatives and weakens competitive standing and leads to customer distrust. Given the growth in data that companies are seeing, which will continue to grow exponentially as 5G and IoT Data becomes more mainstream – validating the quality of data has to be seen as a process and not an end.
As data changes rapidly the definition of what is accurate may change from day to day (or hour to hour), and you need a system that will capture these changes and identify the changes that are significant for your business.
BDM has taken the best of these solutions, enabling you to record, measure and apply data validation checks, as it moves within your data lake. Whenever data is moved into a data lake, outside of a data lake, or within a data lake. This movement is carried out through a pipeline that is created in BDM and the data can be validated at all steps of the way.
Create a culture of Data Trust
Validate the Consistency & Integrity
of the data you need
Build Robust Data Validation
All validations checks happen in memory – there are no data copies left on disk
Data in Transit
Corruption of Data in transit is detected by applying Consistency checks (checksums, etc.) on the data
Smart Dashboards with BDM interface
All quality data is accessible through a dashboard which will provide a snapshot of the health of the data on the cluster
Lineage always captured
All validation checks are recorded. Prebuilt data traceability, tagging and lineage reporting capabilities for data policy adherence at all steps of the process.
Produce trusted and reliable data
Checks the accuracy and quality of all data in any format or size during the data preparation process.
Deliver data you can trust for the insights you need.