Digital Halon Analytics

www.digitalhalon.com

Digital Halon Analytics provides decades of experience in converting raw data into actionable decisions using an array of data analysis and decisioning techniques. Fundamental to successful analytic and information management projects are solid data management, data placement, and data governance strategies. These strategies come from aligning the analytic, data, and system architectures to meet the needs of the business strategy and objectives. With these strategies in place, along with the appropriate analytics applied to the business problem, actionable decisions enable increased productivity and reduced costs in an efficient and affordable manner. Applied Analytics Capabilities: - Autonomous Analytic Modeling - Propensity Modeling - Risk Modeling - Forecasting - Micro-Segmentation - Analytics ImplementationArchitecture - Analytic Assessment & Roadmap - SAS/RDBMS Optimization Data Management Capabilities: - Data Governance Strategy - Big Data and Data Warehouse Architecture - Analytic Data Management - Data Quality and Integration - Master and Reference Data Management - ELT / ELT Architecture - Data Modeling - Performance Analysis Cloud Architecture Capabilities: - Micro-service Application Design - Cloud-Native Architecture - Hybrid Cloud / On Premises - Near-Real-Time Data Ingest - Large Scale Batch Data Ingest - Large Scale Data Egress - Fault Tolerance & Redundancy - AWS and Azure Experience

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Digital Halon Analytics provides decades of experience in converting raw data into actionable decisions using an array of data analysis and decisioning techniques. Fundamental to successful analytic and information management projects are solid data management, data placement, and data governance strategies. These strategies come from aligning the analytic, data, and system architectures to meet the needs of the business strategy and objectives. With these strategies in place, along with the appropriate analytics applied to the business problem, actionable decisions enable increased productivity and reduced costs in an efficient and affordable manner. Applied Analytics Capabilities: - Autonomous Analytic Modeling - Propensity Modeling - Risk Modeling - Forecasting - Micro-Segmentation - Analytics ImplementationArchitecture - Analytic Assessment & Roadmap - SAS/RDBMS Optimization Data Management Capabilities: - Data Governance Strategy - Big Data and Data Warehouse Architecture - Analytic Data Management - Data Quality and Integration - Master and Reference Data Management - ELT / ELT Architecture - Data Modeling - Performance Analysis Cloud Architecture Capabilities: - Micro-service Application Design - Cloud-Native Architecture - Hybrid Cloud / On Premises - Near-Real-Time Data Ingest - Large Scale Batch Data Ingest - Large Scale Data Egress - Fault Tolerance & Redundancy - AWS and Azure Experience

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Country

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State

Nevada

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City (Headquarters)

Las Vegas

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Employees

1-10

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Founded

2018

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    Email ****** @****.com
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