Data and analytics

An effective data strategy is hard to achieve if the data governance structure is not well defined or not properly implemented. It can also suffer when there is insufficient knowledge of the data’s origin and lineage, or unreliable or inconsistent metadata and master data. We can offer a data management maturity scan, data governance map and data management tooling, as well as set up a chief data officer function.

On-site inspections by national and European regulators have revealed a struggle to ensure data quality in reporting. With our Data Quality Framework, we help define data governance structures, source critical data elements, design and implement quality rules, and create dashboards to continuously monitor quality.

Data is often scattered throughout an organisation, belonging to various owners and suffering from inconsistent data definitions or erratic use of tools. Our data engineering methodology enables an incremental build of a centralised data hub. Our experienced implementation teams bridge the business perspective with the technical perspective. And with a data pipeline, you’ll see improved operational efficiency, from data source to consumption.

Data remediation is associated with strict deadlines and high volumes. Challenges faced in every remediation programme relate to scalability and the flexibility to remediate various gaps. Deloitte’s Data Remediation Factory is configured to each precise use case. User groups are trained to prepare and pick up remediation items, and technology smooths workflow functionality and data collection, gathering and auditing.

Becoming an insight-driven organisation requires more than just data and technology. We guide you to ask the right business questions, which will lead to the right analysis, and actionable insights that guide the redesign of processes and optimise operational effectiveness. To this end, we offer an insight-driven organisation framework, and knowledge-graph data insights monitoring.

Financial organisations can gain a competitive advantage by extracting maximum value from the huge volumes of data produced by advanced analytics and algorithms. For example, with our lending process optimisation, we help incorporate state-of-the-art methodologies, data sources and approaches to enable more digital lending processes within banks’ front offices. We also help financial institutions optimise back-office processes by introducing more data-driven decisions within their FR&R and other risk-management processes.