Your data warehouse is your source for truth about customer data. Hightouch syncs these data to the tools your business relies on. Your sales, marketing, customer success and customer service teams will have a 360@ view on the customer through the tools they trust. Eliminate tedious data requests. Hightouch operationalizes data warehouses to make analytics real. Better data can drive growth. Personalized campaigns can be run across all channels, including email, push, ads, and social media. You don't need engineering favors to iterate. Improved data can increase revenue. Target leads with custom PQL or MQL models. Sync one view of the customer with your CRM. Better data will prevent churn. Your CS CRMs should have a 360-degree view of your customers. You can use customer data to identify customers at risk. Your data warehouse contains all of your data. Analytics is just the beginning. Hightouch makes your data warehouse operational by empowering you with SQL to sync data to any SaaS platform.
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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.
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MessageGears
Your modern data warehouse can be used to drive customer engagement and cross channel marketing. This opens up new opportunities for personalized, timely, and relevant messaging that produces real results. You should use all data, not just the ones you've copied to your cloud marketing. Reduce wasteful spending and send more messages across channels. MessageGears stores your data in the same format it is in, so you can get a full suite enterprise marketing tools at a fraction of the cost of a traditional marketing cloud. Segment by MessageGears combines the power and ease of a drag-and-drop segment creator with a segmentation engine that is as fast as your data warehouse. MessageGears Message lets you use any data available in any format to personalize messages for each customer at a scale other email marketing services can't.
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Rivery
Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud.
Key Features:
Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines.
Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance.
Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects.
Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.
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