Tuesday, 30th September 2025 
6:30 pm - 7:30 pm 
Details
In today’s enterprise data landscape, speed alone doesn’t guarantee success. In fact, accelerating data pipelines without ensuring data quality often results in inconsistent, incomplete, or duplicate data flowing into your warehouse, leading to:
❌ Unreliable insights
❌ Delayed decision-making
❌ Increased manual corrections
The Solution? Placing Data Quality at the Heart of your ETL Workflow!
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PurpleCube AI, Edgematics’ powerful ELT platform is a vital component of modern data architecture leveraging LLM’s, and data quality is a native, integrated part of the experience. This unified orchestration delivers specialised, advanced, and proactive capabilities, leveraging AI-driven rules to analyse patterns, distributions, and relationships across datasets, suggest optimal candidate rules, and ensure true data integrity throughout your organisation’s entire data ecosystem.
Instead of treating data quality as a separate or reactive step, PurpleCube AI’s unified orchestration ensures that data validation occurs upfront using latest Llama3, GPT-4, before it enters the pipeline, while cleansing and enrichment are applied seamlessly as data flows through ensuring your most critical business data is consistently accurate, complete, and trustworthy throughout the entire pipeline
How PurpleCube Is Elevating your Data Game?
- AI-Powered Discovery
- Smart Cleansing
- Proactive Monitoring
- Seamless Collaboration
- NLP-Driven Usability
Watch Video on Demand to
- Clean as You Load: Spot and fix duplicates, missing values, and invalid formats instantly.
- Automate Matching & Merging: Seamlessly link related records to create the “ONE” record for each customer, product, or transaction.
- Standardise & Validate Data: Apply custom business rules (e.g., enforcing proper formats, validating IDs, or flagging outliers) automatically.
Speakers
Zaheer Ahmed
Principal Architect & CSM - Analytics EMEA, Edgematics
