transentis Reviews

Your employees can connect to everything they need to do the job. iTacit is more than an employee app. It gives your front-line access to email-free messages and training, a social intranet as well as digital forms, checklists, and other resources. Better engagement starts with hiring and continues through employee retention. iTacit makes it easy to streamline recruitment, onboarding, training, as well as setting performance goals and standards. Keep an eye on your workforce's progress. Give your team the tools and training they need to succeed and watch them grow. iTacit can reduce or eliminate in-person training, track compliance, and offer independent learning paths for employees. Multiple teams working together and a large front-line workforce can pose challenges. Your business and customer success depend on a skilled workforce. This means you will already face the challenges of segmenting communications, managing compliance records, and other tasks.

AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported 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. Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows. Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets. Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with 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 and repeatable data product engineering.