6 min read
Data Lineage and Data Trust for Large Enterprises
A comprehensive analysis of data lineage and Data Trust architectures that ensure regulatory compliance, accurate decision-making, and data security in enterprise organizations.
Blog
Insights on data, intelligence and transformation
Articles from the BIART team on data management, business intelligence, cloud and banking technologies.
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4 min read
Advanced Data Trust and Automated Data Quality Trust Score with CentraQL
CentraQL is an innovative Data Trust platform engine that measures the accuracy, consistency, and reliability of enterprise data using automated scoring mechanisms. It offers data lineage tracking and AI-powered anomaly detection.
7 min read
What is Master Data Management (MDM)? Enterprise Data Management Guide
We examine in depth the discipline of Master Data Management (MDM), which enables the deduplication, management, and creation of a reliable enterprise backbone for scattered master data in large-scale organizations.
6 min read
Data Quality and Anomaly Detection with CentraQL in the Banking Sector
Data quality, regulatory compliance, and anomaly detection in banking are key to reducing financial risks. Discover how to ensure data accuracy with CentraQL.
CentraQL3 min read
CentraQL ComplianceProfile: Moving Regulation Into Runtime
Compliance is not a policy document — it is code enforced at runtime. How CentraQL's ComplianceProfile and EgressGuard pull regulation into the runtime.
Cloud Architecture3 min read
Lakehouse: Uniting the Data Lake and Warehouse in One Layer
For years the data lake and the data warehouse were two separate worlds and data was copied twice. The lakehouse collapses that duality into one layer with open table formats.
Banking & Finance3 min read
Real-Time Fraud Scoring in Banking: Latency Budget and Architecture
Before a card transaction is approved, the fraud score must come back in 100 milliseconds. Here is how that budget is spent and how the architecture is built.
Business Intelligence3 min read
The Semantic Layer: Where Everyone Speaks the Same KPI
Two executives walk into a meeting with two different 'active customer' counts, and both are right. The semantic layer is the architecture that ends that expensive chaos.
Data Management3 min read
Data Contracts: Tying Pipeline Reliability to an SLA
A data contract turns the unspoken expectation between producer and consumer into a written agreement and brings surprise pipeline breakage close to zero.
CentraQL3 min read
CentraQL LoRA Fine-Tune: Adapting to Banking Language in 4 Weeks
A generic 7B model often confuses 'tahsis' with 'allocation' instead of 'underwriting'. The practical plan to teach a model the bank's vocabulary with LoRA.
CentraQL3 min read
CentraQL KPI Anomaly Detection: A Threshold + Z-Score Hybrid
Watching 200 banking KPIs purely with rules — or purely with ML — never holds. The CentraQL hybrid approach.
CentraQL3 min read
The CentraQL AI BI Copilot Pipeline: 11 Stages of Auditable SQL
From a natural-language question to an answer the regulator can read: every stage of the CentraQL Copilot pipeline, what gets logged, and why hallucination risk is zero.