Transforming Operations with Cognitive Analytics and an Operational Data Store
Our client, a prominent Malaysian communications service provider, faced the challenge of incorporating various lines of business into a unified operational data store.
About the Client
Our client, a prominent Malaysian communications service provider, faced the challenge of incorporating various lines of business into a unified operational data store. They sought a single point of origin for storing historical data, enabling seamless business feeds for downstream applications and reports for business users.
Services
Artha Value Add
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Optimized Data Ingestion
Achieving a 30% reduction in processing time through optimized data ingestion processes.
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Improved Data Accuracy
Realizing a 25% improvement in report reliability by enhancing data accuracy.
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Advanced Analytics Implementation
Introducing advanced analytics components, contributing to a 15% increase in actionable insights.
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Seamless Data Orchestration
Facilitating seamless data orchestration, resulting in a 20% reduction in operational complexities.
Challenges
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Data Integration Complexity: Incorporating diverse lines of business into a unified Telecom client. -
Unified Historical Data Storage: Establishing a single operational data store for historical data.
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Cross-Platform Solution: Employing proper data orchestration methodologies while maintaining data integrity.
Results
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Enterprise Data Warehouse (EDW): Successfully establishing an EDW for storing historical data and meeting business requirements.
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Centralized Operational Data Store: Designing business marts as a centralized operational data store for various business lines (prepaid, postpaid, device, etc.).
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ETL Solution Implementation: Implementing an ETL solution for ingesting data from diverse sources (OLEDB, SFTP Files, and Google Cloud) into the warehouse, marts, and reports.
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Reporting Layer Creation: Creating a reporting layer as a staging environment for feeds and reports, enabling performance tracking across multiple business lines.
Solution
Operational Data Store Deployment
Leveraging Enterprise Data Warehouse, data marts, and business marts across vertical databases.
ETL Workflow Design
Utilizing Talend 7.1.1 for end-to-end data flows.
Custom Metadata-Driven Architecture
Implementing a tailored metadata-driven architecture for efficient data orchestration.
Big Data Integration
Employing Talend big data components to create HDFS layer and Hive for customer data mining.
Business Intelligence Consolidation
Consolidating business marts to drive business intelligence solutions, powered by Qlik.
Data Ingestion Assistance
Assistance in critical data ingestion components using Cloudera, Talend, and other technologies.
Talend Platform Upgrade
Facilitating the seamless upgrade of the Talend platform.
Data Lake Ingestion
Conducting data ingestion into the data lake from diverse sources, including Silent Roamer, IMS, IMPOS/SAP, iSell, DMP, EPM reporting, OLEDB, FTP servers, Google Cloud, Amdocs, Kenan, and Huawei switches.
Operational Data Store Deployment
Leveraging Enterprise Data Warehouse, data marts, and business marts across vertical databases.
ETL Workflow Design
Utilizing Talend 7.1.1 for end-to-end data flows.
Custom Metadata-Driven Architecture
Implementing a tailored metadata-driven architecture for efficient data orchestration.
Big Data Integration
Employing Talend big data components to create HDFS layer and Hive for customer data mining.
Business Intelligence Consolidation
Consolidating business marts to drive business intelligence solutions, powered by Qlik.
Data Ingestion Assistance
Assistance in critical data ingestion components using Cloudera, Talend, and other technologies.
Talend Platform Upgrade
Facilitating the seamless upgrade of the Talend platform.
Data Lake Ingestion
Conducting data ingestion into the data lake from diverse sources, including Silent Roamer, IMS, IMPOS/SAP, iSell, DMP, EPM reporting, OLEDB, FTP servers, Google Cloud, Amdocs, Kenan, and Huawei switches.
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