Data Analytics

Impact Makers provides data consultation services that help you get value out of your data. We work with commercial and public sector companies across multiple industries. Our techies, data geeks, and process gurus bring proven experience of integrating your business process landscape into repeatable automation patterns in technology and agile practices that not only speed up delivery and business value, but are predictable, easy to change and flex and grow as your business grows while providing full audit history of your data.

Data Vault 2.0 Design and Implementation

This specialized service focuses on designing and implementing Data Vault 2.0, a resilient and auditable data modeling methodology ideal for complex, evolving data environments. This includes data modeling workshops, implementation support, automation of Data Vault processes, and integration with existing data architectures.

Cloud Data Management and Architecture

This service focuses on helping clients transition from legacy on-premises data warehouses (like SQL Server or Oracle) to modern cloud data platforms (Snowflake, Databricks, Azure Synapse, or Amazon Redshift). This includes platform selection consulting, architecture design, data migration, and performance optimization.

Information Architecture and Governance

This service empowers organizations to establish a well-structured, consistent, and governed approach to information management. This includes defining a unified information architecture (encompassing data models, metadata, taxonomies, and ontologies), implementing metadata management, defining data quality standards, and establishing robust data governance processes.

Data Mesh and Data as a Product

This service helps organizations modernize how they manage and deliver data by shifting ownership to business domains and treating data as a strategic product. By applying product management principles to data, such as clear ownership, defined quality standards, discoverability, and lifecycle management, organizations enable scalable, self-service access to trusted data. This approach reduces bottlenecks, breaks down silos, and empowers teams to deliver high-value data products that drive faster, more informed decision-making across the enterprise.