Data & Analytics

The increasing digitization of business processes has placed data at the center of decision making. In this new paradigm, the ability to capture, process and analyze large volumes of information in a structured and timely manner has become crucial for organizations to adapt and evolve.

The Data discipline – which spans from data management and governance to data analytics – has established itself as a key enabler of organizational, technological and operational transformation. This transformation requires not only technical capabilities, but also robust operating models, adapted organizational structures and a data-oriented culture.

Our practice

At Management Solutions we partner with our clients to design and implement data-driven strategies that drive the transformation of their business models.

Our practice combines functional knowledge of the industries in which we operate with advanced capabilities in data architecture, traditional analytics and process automation. We support organizations in defining high-impact use cases, developing analytical profiles, designing operational models and collaborative ways of working, and adopting governance and demand management practices that maximize the value of their data.

Value propositions

• Data Management, Culture and Adoption Framework: Definition of data domains, operational models, demand management models, data portfolio management and deployment of the data model across the organization.
• Data Regulation and Governance: BCBS regulation and data governance: framework, standards, policies, role assignment by data domain, and data governance tools.
• Data Quality: End-to-end (E2E) approach to data quality, covering continuous tracking and monitoring through reports, KPIs and dashboards, as well as defining remediation mechanisms at source to ensure data reliability and consistency from capture onwards.
• Data Environment Management: Management of information environments from a functional perspective, including data transformation plans and data domain models.
• Analytics & BI Tools: Development of analytics capabilities in terms of skills, ways of working, and management and governance of analytical models.