AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack.
At its core is the AnalyticsCreator Governed Control Model, which keeps business meaning, data structures, transformation rules, dependencies and technical implementation connected in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated assets can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns.
Changes made in the model can be propagated across dependent project assets, while lineage, documentation and impact analysis remain connected to the underlying design. This helps teams reduce repetitive engineering work, standardise delivery and understand the effect of change before regenerating affected assets.
AnalyticsCreator generates native Microsoft technology rather than requiring a proprietary runtime. Organisations retain ownership of the resulting implementation and can integrate generated assets into existing Git, Azure DevOps and CI/CD processes.
Design Intelligence extends this governed project context into AI-assisted data engineering by giving authorised AI tools and agents structured access to metadata, lineage, dependencies and design rules.
Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery, SAP-to-Microsoft analytics architectures and repeatable data product engineering.
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iTacit is a frontline workforce platform that connects training, compliance, communication, and day-to-day processes in one mobile-first system.
Give frontline employees easy access to the training, policies, procedures, forms, checklists, and information they need to do their jobs, wherever the work happens. Leaders gain greater visibility into completion, certifications, compliance records, and work happening across teams, locations, and shifts.
With iTacit, organizations can digitize onboarding and frontline training, manage recurring and role-based learning, track certifications and training requirements, deliver mobile SOPs and policies, and replace paper forms and checklists with connected digital workflows.
iTacit also helps teams manage safety and compliance processes including inspections, incident reporting and follow-up, corrective actions, audits, JSA/JHA workflows, and other field processes. Training, documentation, assigned actions, and records stay connected, making it easier to see what has been completed, what needs attention, and whether required follow-up has happened.
For organizations managing large, distributed, or deskless workforces, iTacit brings the tools employees use and the visibility leaders need into one platform. Reduce disconnected systems and manual tracking, strengthen compliance, simplify frontline training, and give employees a better way to access information and complete required work from the field.
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Timbr.ai
Timbr is the ontology-based semantic layer used by leading enterprises to make faster, better decisions with ontologies that transform structured data into AI-ready knowledge. By unifying enterprise data into a SQL-queryable knowledge graph, Timbr makes relationships, metrics, and context explicit, enabling both humans and AI to reason over data with accuracy and speed. Its open, modular architecture connects directly to existing data sources, virtualizing and governing them without replication. The result is a dynamic, easily accessible model that powers analytics, automation, and LLMs through SQL, APIs, SDKs, and natural language. Timbr lets organizations operationalize AI on their data - securely, transparently, and without dependence on proprietary stacks - maximizing data ROI and enabling teams to focus on solving problems instead of managing complexity.
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