About Pointer Consulting
Pointer Consulting brings established industry architectures together to implement enterprise data warehouses for reporting, managed self-service BI, and conversational BI. Our strength is practical implementation: connecting proven patterns, adapting them to your business, and making them work together on your chosen platform.
Our team includes certified Data Vault practitioners, Microsoft-certified Azure Solutions Architect Experts, and developers with the Microsoft MCSD credential.
Business first. Built together.
Data has meaning within a business. Before shaping the platform, we get to know the people, processes, definitions, and decisions it needs to support. We work with your domain experts to understand how information connects across systems and what teams need to learn from it.
We apply medallion layering, automated ingestion, Data Vault integration, enterprise Kimball dimensional modeling, and shared semantic models. These are established industry practices. Our contribution is the experience to combine them into a maintainable warehouse your teams can use and extend.
We have particularly deep Azure Synapse and Microsoft Fabric experience. As a certified WhereScape partner, we also bring considerable experience connecting warehouse design, automated delivery, and maintenance with WhereScape. The architecture can be implemented with other tools as well.
Explore the architecture behind our workYour business domain
Every organization has its own language, relationships, and measures. We connect those business concepts to the models and definitions that make data useful across teams.
Business concepts & processes
We work with your experts to understand business concepts, relationships, and processes. That shared understanding gives the warehouse meaningful context and helps teams follow business activity across departments and over time.
Illustrative modeling question: How do our business processes connect across departments?
Shared measures & decisions
We work with stakeholders to agree on calculations, reporting periods, and the level of detail behind each measure. Governed semantic models make those definitions reusable for reporting, self-service, and conversational BI.
Illustrative business question: How has operational activity changed across teams and reporting periods?
Our additional domain experience includes education and healthcare.
What you can expect
A successful engagement should leave you with a working solution, a clear understanding of it, and a team ready to take it forward.
We connect domain knowledge to architecture decisions. Expect clear recommendations, open discussion of tradeoffs, and a scope grounded in the way your organization uses data.
We work with your team to turn architecture into a working data warehouse. Our consultants contribute modeling, integration, application development, and custom automation from design through delivery.
We make room for documentation, mentoring, and a considered handoff. The goal is a solution your team understands and can continue to improve.
How we work
We shape each engagement around your goals, your existing team, and the work ahead.
Discuss your goals, review the current environment, and identify the constraints that matter.
Agree on priorities, scope, responsibilities, and the approach to delivery.
Implement, review, and refine with your team, keeping business needs in view.
Share knowledge, plan the handoff, and agree on any ongoing support.
A few useful answers
Have a question about your situation? We are happy to talk it through.
Talk with our teamTell us about your goals, current platform, and the work ahead. We can discuss an architecture review, an implementation, improvements to an existing warehouse, or additional expertise for your team, then agree on a suitable engagement.
Yes. We can provide architecture leadership, hands-on development, or additional delivery capacity. We agree on roles and responsibilities with you so our consultants fit into the way your team works.
Yes. We offer support options to help with the transition after an engagement. We will agree on the scope and arrangements based on your solution and your team's needs.
Yes. This enterprise architecture can be implemented across platforms, with the design adapted to your environment. We have particularly deep experience with Azure Synapse and Microsoft Fabric. We assess your current platform and goals before recommending extensions, automation improvements, or a phased transition.
Data Vault can be useful when you need to integrate multiple source systems, retain history, and adapt your warehouse as the business changes. We assess those needs alongside complexity, delivery priorities, and your team's capabilities before recommending an approach.
It brings together established industry approaches: medallion layering, automated source ingestion, Data Vault integration, enterprise Kimball dimensional modeling, and semantic layer architecture. We select and implement those patterns around your requirements, with shared models serving enterprise reporting, managed self-service, and conversational BI.
No. WhereScape is an optional automation tool, and we have considerable experience using and extending it as a certified WhereScape partner. We can also implement these patterns with your existing platform and other automation tools. We choose the approach around your environment and team's capabilities.
WhereScape connects source discovery and model design with generated warehouse code, data processing, and ongoing maintenance. Shared metadata, documentation, and lineage help teams understand and manage the result. We tailor its templates and conventions to your standards when needed. Explore our WhereScape expertise.
Integrated history and analytical models establish the data foundation. Semantic models define shared calculations; ontologies can supply entity and relationship context. Data agents query the selected sources appropriate to each question, and we evaluate responses against business expectations. Explore the connection between architecture and AI.
Let's build something useful
Tell us what you are working toward. We will bring a practical perspective and help you find the way forward.