AI & Automation · Data & analytics
AI is only as good as the data behind it. We build pipelines, warehouses and lakehouses, Power BI and Microsoft Fabric dashboards, and predictive analytics such as demand, sales and churn forecasting, so decisions rest on numbers people trust.
What we build
Typical pieces of work in this area. Most engagements combine several of them.
Scheduled and incremental ingestion from ERP, CRM, e-commerce and spreadsheets, with data-quality checks and alerts when something breaks.
Data modelled in Microsoft Fabric, Azure SQL or PostgreSQL, organised into clean, documented layers from raw to reporting-ready.
Reports on a governed semantic model with row-level security, so each team sees the right slice of the same numbers.
Lakehouses, pipelines, notebooks and Direct Lake reports, with workspaces, capacity and permissions planned up front.
Forecasts by product, location or channel that account for seasonality and promotions, with the uncertainty shown alongside each prediction.
Scores that flag customers at risk or likely to buy, written back into your CRM where teams can act on them.
Metric definitions, ownership, lineage and access policies that make the numbers trustworthy and auditable.
How we work
Week 1
List the questions the business needs answered, the systems involved and how each metric is defined.
Design
Design the warehouse or lakehouse layers and the semantic model that reports will share.
Build
Ingest, clean and test the data, with monitoring and alerts from the first load.
Iterative
Deliver reports and forecasts in short iterations, validated with the people who will use them.
Ongoing
Training, documentation and a backlog of improvements as new questions come up.
Proven, well-supported tools, chosen for your context rather than for novelty.
Outcomes depend on your starting point; we agree success measures with you up front.
Typical use cases
Distribution teams see expected demand by product and warehouse, with a range rather than a single guess.
ERP and e-commerce data combined into one view of revenue, margin and returns by channel.
Online course businesses spot students who are drifting away early enough to re-engage them.
A web of linked spreadsheets becomes a governed model with scheduled refreshes and an audit trail.
Representative projects
A mid-size engineering consultancy
A permission-aware assistant that answers staff questions from procedures, project archives and templates, citing the source document every time.
A multi-site wholesale distributor
Supplier invoices read with AI Builder, matched to purchase orders and created as draft purchase invoices in Business Central for an accountant to approve.
Representative engagements. Client names and some details are withheld or illustrative.
FAQ
Can’t find what you’re looking for? Ask us directly. We’re happy to talk it through.
Keep exploring
Copilot Studio agents, Power Automate flows and AI Builder document processing across Microsoft 365 and Dynamics 365.
Implementation, customisation, integration and support for Dynamics 365 and the Power Platform, including NAV / AX upgrades.
Modern ERP, shop-floor apps and reporting for one connected view of operations.
Order, inventory and warehouse systems that stay in sync, with smart automation.
Use-case discovery, feasibility and ROI assessment, data readiness, governance and a practical roadmap.
Start a conversation
Tell us which reports take too long or which decisions lack data. We’ll suggest a practical first step towards a reliable data platform.
Prefer email? contact@blackpantherdigital.net
Product and company names mentioned on this page are trademarks of their respective owners. Black Panther Digital Solutions is an independent company and is not affiliated with, partnered with or endorsed by OpenAI, Microsoft, Amazon, Anthropic or any other AI vendor.