Your Priority: 

Exploiting Data

There’s much wisdom in the saying “you can’t manage what you don’t measure”. Because of big data it is now possible for organisations to measure, and hence know, radically more about their businesses, and directly translate that knowledge into improved decision making and performance. The challenge of becoming a data-enabled or driven organisation, one that can glean intelligence from data and translate that into business advantage, can be enormous.

An immense and constant flow of multi-dimensional data is gathered every second of everyday. Embedding a data-led culture into your organisation will enable you to make better predictions and smarter decisions and target more effective interventions has the potential to transform the business and offer greater opportunities for competitive advantage. To transform data into intelligence, you need to define what is most important to your business – be it growth, launch of a new product or surpassing a competitor. Once you define what you want to achieve, you can recognise which data sources and metrics are key to isolate from the noise of all the data you are collecting. It is most likely that you have data coming from multiple sources, the decisions you make from data are only as good as the data itself. Bad data comes in many forms – duplicates, outdated, missing or inaccurate information. It is important to use the right tools and technology (which must be user friendly and easy to use) that allows you to focus on quality collection, aggregation and analysis and fully understand what is working and what is not.

• Trends and patterns
• Anomaly detection
• Event triggers
• Event routing
• Detect to remediate
• Request fulfilment
• Return to service

Many companies today are looking at developing, implementing, or refining their strategy for turning their data into business value. Technology continues to promote opportunities to generate data, but this often leads to complex data issues. Companies are aware of new technologies such as machine learning and artificial intelligence, but they are often struggling to take advantage of how this can help them. They want help and advice on how to manage the data, how to interpret the data, and how to present the data in a way that generates business value to them. NWT can help you with some of main deliverables including:​

• Data Strategy, Architecture, and Governance
• Data Platforms
• Data Migration
• Data Integration
• Automation
• Artificial Intelligence
• Machine Learning

Through our services:

Service Approach >

Engineering as a Service >

CTO as a Service >

Data Migration >

Testing as a Service >

Platforms >