About Pointer Consulting
Pointer Consulting helps organizations across industries implement modern, AI-ready data warehouses using proven enterprise architecture. We adapt the design to your business and chosen platform, with particularly deep Azure Synapse and Microsoft Fabric experience.
Our team includes certified Data Vault practitioners, Microsoft-certified Azure Solutions Architect Experts, and Microsoft-certified developers.
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.
Our delivery philosophy is simple: the model is the product. We build integrated history, analytical models, and governed metrics as reusable foundations for reporting and AI. One way we have implemented the AI side is through Fabric IQ and data agents.
Our foundation
Stephen Schleicher, Founder and Principal Architect, brings more than 20 years of data and application experience. Our consulting team puts enterprise architecture best practices into operation through hands-on implementation, custom automation, and knowledge sharing.
Your 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 identify the entities, business keys, relationships, and events behind your data. Clear definitions help teams connect records across sources and understand how a business process changes over time.
Illustrative modeling question: Which records describe the same business entity across our systems?
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 teamContact us to arrange a free 30-minute introductory conversation. We will discuss your goals, current challenges, and where our consultants may be able to help. From there, we can define an appropriate next step together.
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.
We extend WhereScape's automation to reflect your architecture standards, including model conventions, metadata, and loading patterns. Custom templates turn those decisions into repeatable generated output. We also validate the output and document the custom behavior so your team can maintain it.
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.