DGS data management and modelling experts work with clients to create a complete data architecture road map that is foundationally based on best practices, industry standards and latest proven techniques.

Due to the numerous and different types of databases, applications, systems and NoSQL data stores, many organisations are finding the current state of their data to be complex, unreliable, inconsistent and not easy to work with. This can often lead to misunderstandings, lack of trust, disorganisation, errors, low utilization and, ultimately, poor decision making.  Getting this sorted, with a seamless data and digital solution, is where DGS comes in.

As part of its data management and modelling services, DGS works with clients to create a complete data architecture roadmap that is fundamentally based on best practices, industry standards and latest proven techniques. It is this roadmap and architected structure that gets your enterprise’s data to a reliable and much more usable state, because it employs a strong management and modelling methodologies that brings adaptability, predictability and consistency to even the most varying of environments. We often start with the aim of centralising all your company and customer data.

Additionally, our consultants are also subject matter experts on Data and Statistical models (MO and ML) and how they apply to business problems. We advise on and help the company implement models in Machine Learning, Optimization, Neural Networks, and Artificial Intelligence such as NLP, and other quantitative approaches.

We present insights and predict emerging trends to inform business solutions that maximise business value. Our services cut across sectors including transportation, construction, oil and gas, retail, healthcare, etc. Some of the services and key activities under this service mix include:

• Enterprise level data architecture
• Data and cloud platforms assessment and remediations
• Evolution of Data and Analytics Operating Model (DAOM)
• Experienced in conceptual/logical data modelling of solutions in complex organisations
• Data modelling based on requirements analysis, workshops and interviews
• Data modelling to support flexible and agile business strategy and solutions
• Creation of data standards and a data dictionary for consistency
• Development of data models to tie in with GDPR/security standards
• Data models developed with continuous integration and development in mind