Services

Three connected layers. Start where you need to, and build upward on a solid base.

Fundamental Data Management

The foundation

Data governance: IT audit services, data management maturity strategy, data governance management and strategy
Data management services: Business glossary and catalogue, metadata management, data quality, platform migration

Technology: DMM assessment methodology, Oracle Enterprise Data Quality, IBM Data Governance, Oracle Master Data Governance, Talend

Info-Structure Development

The platform underneath

Enterprise data warehousing: Big data, data warehouses, data marts and data lakes; master data management
Internet of Things: Production planning, fleet management, supply chain management and smart warehousing

Technology: Oracle, IBM, Cloudera, Hortonworks, Talend, PostgreSQL, SAS, Informatica

Info Solutions & Services

Answers from your data

Advanced analytics & data sciences: Trend analysis, forecasting and prediction; big data analytics; artificial intelligence; machine learning; natural language processing; GIS analytics; robotic process automation
Traditional BI & data visualisation: Dashboards, multi-dimensional reporting (OLAP) and reports

Technology: Oracle, Microsoft, IBM, Hortonworks, Talend, Esri, UiPath, open source

IMSAR: system audit and review

Many organisations invest heavily in ERP, CRM, data warehouse and analytics platforms without realising the full value. IMSAR evaluates your systems and controls, based on the TOGAF® standard and the Data Management Maturity (DMM) model, and gives you a roadmap forward.

Architecture compliance, application functional maturity, logical and physical data model review, data management strategy, governance, quality and operations, supporting processes, and security.

KPIx

Our own data mining tool for telecom and finance. KPIx presents industry-specific business answers directly from your existing data warehouse, and has been deployed at Burraq Telecom and KASB Bank.

Digital transformation

A holistic approach covering technology, process and people, using proven Agile, Lean, Scrum and Kanban frameworks.

How the pieces fit together

Data is managed, integrated and analysed under one layer of governance covering quality, lifecycle, security and standards.

Information lifecycle: manage, integrate and analyse data, with governance covering quality, lifecycle, security and standards — The information lifecycle we work across

Data governance methodology: strategy, policies and processes, organisation, measurement and monitoring, communication, recommendations — Our data governance methodology