Bringing you understanding, perspectives and insights into trends impacting your business to support innovation and growth.
Opening the Door to CIM with a Free Affirma Experience Getting started with the Common Information Model (CIM) can often feel overwhelming, especially given its depth and industry significance. That’s why a free version of Affirma has been created—to provide a...
Why Data Quality Is Challenging Data quality is difficult because modern organizations generate and move data across many systems, teams, and processes. Information is created in different formats, updated at different times, and often lacks consistent definitions....
Visualization helps turn abstract ideas into tangible insights. Whether you are solving complex problems, aligning a team, or setting goals, being able to see something often makes it real and easier to grasp. To foster alignment and smarter decision-making, it's...
Organizations are investing substantial capital in developing advanced analytics and reporting capabilities that help business users better understand operational challenges and potential risks, ultimately aiming to lower costs and mitigate business risks. However,...
Utilities manage complex assets across electrical grids and water distribution systems, necessitating accurate tracking and maintenance. However, fragmented data systems, lack of integration, and inconsistent information lead to inefficiencies, increased risks, and...
Suddenly you and your organization are tasked to transform your electricity system into one that is cleaner, more resilient, and more affordable. And it that was not enough, it needs to happen in collaboration with other industry sectors, such as transportation,...
The reality we face today is an exponential growth of data with the potential to drive operational efficiencies and innovation. But this deluge of data needs to be managed, in a structured way, through processes, frameworks, practices and ideally driven by technology...
An integrated approach to the data journey can help organizations achieve operational excellence, reshape strategy, build resilience, and avoid technical debt as both the internal and external environment in which business is conducted continues to change....
The CIM User Group Australia 2023 conference focus was centered around "CIM the Development, Growth, and Acceptance of a Standard." Participants from various organizations and sectors from Thailand, Australia, Malaysia, New Zealand and other countries in the region...
There is a common expression in technology domains being “garbage in, garbage out”. The expression was popular in the early days of computing and is even more relevant today as we utilize innovative technologies such as machine learning and artificial intelligence,...
In everyday life we are generating huge amounts of data which we are increasingly attempting to use for improved and innovative outcomes to meet corporate objectives. It is therefore necessary to think about managing our data efficiently to ensure it is accurate,...
Data Fabric. Data Mesh. The latest buzzwords in the ever-growing data analytics community. Utility companies have been working on solutions to address their operational data and how to keep it organized and available. Each solution presents its strengths and...
Article originally posted on Utility Analytics Institute. What we see with our clients are that they want to gain more business value from their data. However, the initial direction they take make differ. Some clients focus on technologies while others focus on...
Affirma can automatically infer the appropriate mapping to the enterprise model, assess downstream impact through lineage, and update transformation logic in platforms. Affirma represents a shift from static, manually maintained mappings to a dynamic, self-adapting mapping capability powered by Affirma knowledge graph, semantic model, and lineage intelligence. In this model, Affirma leverages AI/ML and LLM techniques to:
Affirma Dashboard Builder would enable business and technical users to rapidly create trusted, semantically consistent dashboards and reports directly from the Affirma platform by leveraging its knowledge graph, metadata, lineage, and semantic model.
Rather than requiring users to manually identify datasets and define joins, Affirma can automatically surface business-aligned data products, curated metrics, and relationships based on the semantic layer. Users can select concepts such as “Customer,” “Asset,” or “Outage Event,” and the platform dynamically assembles the appropriate underlying data, ensuring that all visualizations are built on governed, standardized definitions.
Provide deep integration with modern cloud data platforms to enable automated metadata harvesting, lineage capture, and semantic model mapping. The initial focus will be tight integration with Databricks lakehouse environments, followed by broader AWS cloud data platform integration, enabling Affirma to operate seamlessly within enterprise data lake architectures.
Key Product Functions
Prepare enterprise datasets and knowledge sources so they can support Retrieval-Augmented Generation (RAG) architectures used by generative AI applications. Affirma organizes enterprise knowledge through semantic relationships and metadata enrichment so LLMs can retrieve accurate context.
Key Product Functions
Translate natural language questions into structured queries by leveraging the semantic model, business glossary, and ontology relationships. Business users can ask questions in plain language and the platform maps the question to the correct datasets and fields.
Key Product Functions
Integrate large language models directly with Affirma’s semantic layer and ontology framework so AI systems can interpret enterprise data using business context rather than raw schemas. The semantic model provides structured meaning, relationships, and governance metadata that guide LLM reasoning and reduce hallucinations.
Key Product Functions
Use AI/ML techniques to automatically enhance metadata across datasets, schemas, and documentation. The platform analyzes table structures, column names, and usage patterns to infer business meaning, relationships, classifications, and ownership. This reduces the manual effort required to build a usable data catalog and helps rapidly scale governance programs.
Key Product Functions
Create the opportunity for either single user or enterprise licensing.
Implement version-controlled modeling with branching and governance workflows.
Enhance data modeling and quality by leveraging constraints, reference models, and advanced customization capabilities.
