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Data Services

Data Improvements

  • Unleash the value of the data assets to serve business purposes.

  • Data strategy and architecture, analysis and optimisations

  • Master Data Management to centralise, organise, categorise, localise, synchronise and enrich master data according to the business rules

  • Data Quality Management to ensure data accuracy, completeness, reliability, relevance and timeliness

Data Integrations

  • Combine data from multiple sources to provide a unified, single view of the data.

  • Ingress and Egress data pipelines, data loss prevention

  • Data Migrations including strategy, risk mitigations and best practices 

Data Warehouse/Data Lake

  • Harness big data and benefit from the raw, granular structured and unstructured data

  • Structured pipelines (ETL) and schema-less (ELT) models

  • Limitless data volumes and processing power on demand or dedicated

Machine Learning / AI

  • Mimic human cognitive functions such as learning and problem-solving

  • Improve business predictions and insights

  • Monitor forecast trends

  • Enable real-time data analytics

Reports and Dashboards

  • Self-Service BI report for non-technical end users

  • Rich dashboards with advanced drill-down menus

  • Enable holistic view on the current state of the business, from a snapshot down to a single transaction level

  • Improve internal engagement, accountability and transparency

Data Governance

  • Manage the availability, usability, integrity and security of the data in enterprise systems

  • Scan data sources automatically

  • Easily search and find data assets

  • Search for terms in all data stores

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