Data EngineeringInstalling, enhancing and upgrading the data engines you rely on.
Creating a culture of curiosity
Data has become the lifeblood of enterprise. Executive management teams are taking more of an active ownership role in BI initiatives than ever before. MetaNXT data engineers will equip your executives with the means to build a data driven ‘curious’ culture, helping your organization to understand customer behavior, react to market changes faster than rivals and eliminate unknowns.
Data engineering projects require:
The biggest single reason why digital transformation projects fail is data quality. Re-use data for new purposes and data cleansing and enrichment is inevitable.
Our data engineering capabilities
— Data Analytics
— AI-Led Decisioning Systems
— Business Intelligence and Dynamic Data Visualization
— Cross-Enterprise and Cross-Industry Actionable Insights
— Reporting as a Service
Install best-practise into master data management and your approach to data engineering. We work with organizations around the world to become data-driven enterprises by combining business consulting, change management and IT delivery skills to forge the next-generation of information systems.
- Faster time to market
- Lowest IT operational overheads
- Zero legacy software footprint
- Greater business agility
Our team will guide you to win in the key battlegrounds of:
- Streamlining data capture
- Cleanse, normalize and de-dupe data using AI and fuzzy-logic matching techniques
- Maximizing data value and decision making through the formation of customer data platforms and data landscapes
- Systems Design and Architecture
Development of data engineering solutions around Enterprise Platforms – Microsoft, SAP, Oracle, SalesForce, Business Objects, etc.
Engineering – Embedded/CAD/CAM
How are Enterprise Systems evolving to serve a broadening audience of stakeholders in an always-on, remote working environment? Read our latest article.
How ML/AI is changing the world one process at a time
You might be wondering ‘What’s the difference between artificial intelligence and machine learning?’ In this article, we explore the use cases that are most common for ML and AI in the enterprise. Find out what you COULD be doing to improve the performance of your business IT.
The GlueWare Game-Changer
You might have a great e-commerce front-end, but what happens once your buyer clicks the buy button? Modern data science and cloud technologies are making it possible for organizations to re-think their Enterprise Systems by extending features and functions with retrofittable digital technologies.
BECOME A DATA-DRIVEN ENTERPRISE
Discover how we can help your organization to become a DIGITAL LEADER