Data Life-Cycle Management

Crystal Delta’s Data + Insights Practice specialises in all in facets of data life-cycle management and strategy.  Our capabilities include:

• Data analysis to extract insights, create visually appealing and informative visualisations that support decision making.
• Data science using advanced statistical and machine learning techniques for artificial intelligence to solve complex data problems and build predictive and clustering models for development and deployment into applications.
• Database administration to maintain and optimise databases, ensuring data integrity, security and performance.
• Data engineering to design, build and maintain data pipelines, integrations and infrastructure to ensure data availability and reliability.
• Business intelligence for creating dashboards and reports to support data-driven decisions.
• Architecture to design data systems, data-sources and structures to ensure data consistency and efficiency.

DataOps

Crystal Delta offers a comprehensive set of DataOps principles and technologies used to streamline and automate the processes involved in data management and analysis. It involves collaboration between data scientists, data engineers and other stakeholders to ensure that data is properly collected, processed and analysed in a timely and efficient manner. The goal of DataOps is to improve the speed, quality and reliability of data-driven insights, while reducing the risk of errors or delays in the data pipeline.

DataOps ensures data accuracy through validation, cleansing and monitoring.  Through the optimisation of data-related processes, workflows and teams, DataOps facilitates efficient data management. Effective operational data management safeguards compliance with data protection regulations and manages data privacy obligations as part of a governance framework.

Crystal Delta’s Data + Insights Practice provides expert and domain knowledgeable guidance on data strategy, governance and management.

An effective data strategy should outline how data is to be collected, managed, protected and used, as an indispensable asset. It should:

• Define the types of data needed and how it will be collected and stored.
• Ensure that the data is accurate, complete and up-to-date.
• Determine who will have access to the data and how it will be used to achieve business objectives.
• Protect sensitive information from unauthorised access or breaches.
• Improve decision-making and increase operational efficiency.
• Gain a competitive advantage by using data insights to identify new opportunities and optimise existing processes.

A well-defined data strategy helps our clients to maximise the value of their data assets, achieve business goals and gain competitive advantage.

Our capabilities and expertise

Our clients

We work with a range of clients from a range of industries and regions. We pride ourselves on respectfully and positively influencing the diverse social and economic needs of the regions where we and our clients operate.

Our technology stacks and tools

Our Practices

Each technology practice is an amalgamation of specialised core capabilities, governed by standards-based frameworks to ensure transparency, and consistently successful delivery of our digital solutions.