Traditional MDM are slower to implement, not easier to adapt, takes longer cycles of effort and resources before leverage just to realize the data has shifted due to new business strategies. DQLabs provides faster, ready to play semantic models by the ability of easily ingesting from multiple sources of data, abstracting the art of creating golden view records using a combination of steps that includes consideration of data quality profile, cataloguing, curation and still maintaining the governance.
Leverage immediate ROI by a plug and play multi-domain master models out of the box for your environment or create your own model without requiring advanced skills.
DQLabs AI/ML based semantic models provide an easy entity definition and creation of high-quality golden records for customers, products, vendors, assets, location, devices, and other business entities.
Out of the box plug and play models for various verticals and packaged capability for various data subject areas including but not limited to main party models such as customers, citizen, patient, supplier, vendor, employee, associate data models, Transaction data models, Product data models, Financial or Quantitative data models, Asset data models, Location or Facility data models etc.,
Ability to create your own model but still leverage our proven functionality and algorithms to address specific requirements of main party data quality issues (e.g., standardization of names, addresses, contact details and hierarchies, and merging of duplicate party records). This not only includes the built-in capabilities for decomposition of data into its component parts but also for applying industry/local standards, business rules or knowledge base to modify data to specified formats, values and layouts.
Ability to ingest semantic model views back into transactional systems via Pre-built APIs, RESTful web services or Portal search or offline extracts that enables businesses to make quick wins and improve source data quality by blending and merging master data directly into transactional applications.
The semantic models or the golden record is built using multiple levels of processing and algorithms that includes scoring on data sources along with its quality profile on each attributes, with weightage distribution, proven algorithms that spans across match, merge, consolidation and linking enabling organizations to build a 100% trusted semantic model.
DQLabs has inbuilt Trust-based approach that is no longer a one-size-fits-all, top-down approach, but that adapts to the situation and the level of central governance required. Not only the platform has traceability, auditability but also provide the controls for data and analytics governance, plus risk assessment, control and compliance as related to data quality, security, privacy and retention.
DQLabs uses AI/ML algorithms to automate the configuration and optimization of master data processing to reduce cycle times of implementation and the need of highly skilled resources and prove an immediate business value.
All complex tasks around connection, data profiling, curation, governance and reporting is all done in few clicks.
Modern data and analytics Governance to apply standardized approach to ensure correct, accurate and consistent data with the right permissioning and security to align and meet company objectives.
Operationalize your regulatory compliance and privacy programs through AI/ML enabled Data Compliance platform to report, remediate gaps and be 100% compliance.
Unlimited connectors for extracting data from any operational systems, data sources for provisioning integrated dataset for optimized and repeatable analytics.
CURIOUS ABOUT SEMANTIC MODELS