
Purpose-built access layers between Power BI and the systems of record where enterprise data actually lives. Same governance posture, same refresh behavior, same support surface — across every platform.
Governed, incremental, production-grade access to the full Salesforce data model — Sales Cloud, Service Cloud, custom objects and managed packages — surfaced directly into Power BI without custom ETL, staging databases, or replicated datasets.
Accesses every standard and custom Salesforce object, including relationships across managed packages. No schema restriction, no pre-flattening.
Row-level access honors Salesforce sharing settings, profiles, and permission sets — enforced at query time, not bolted on in Power BI.
Delta-aware extraction on large objects (Opportunity, Task, Activity) keeps refresh windows predictable even on multi-million-row datasets.
New fields, renamed picklists, and object-level changes propagate without breaking downstream Power BI models or refresh schedules.
Connect several production and sandbox orgs into a single governed Power BI layer — useful after M&A or for divisional reporting.
Query strategy is chosen per object size and operation — transparent to the analyst, optimal for Salesforce API consumption limits.
A direct analytical bridge into SAP S/4HANA, BW/4HANA and classical ECC landscapes — preserving SAP authorizations, handling enterprise data volumes, and translating SAP semantics into Power BI without staging or full replication.
One connector addresses CDS views, BW InfoProviders, BEx queries, and classical tables — across cloud and on-prem SAP landscapes.
Roles, analysis authorizations, and CDS DCLs are applied at execution — users see exactly what they're entitled to in SAP, in Power BI.
Operational Data Provisioning is used where available — keeping refresh footprint small and staying within SAP's recommended patterns.
Time-dependent hierarchies, BEx variables, and currency translation are honored natively — critical for controlling and finance reporting.
Connects to SAP running on-premise, in SAP's private cloud (RISE), or on hyperscalers — the connector sits where it needs to, not where convenient.
Designed for the data volumes typical of S/4HANA production — batched extraction, query push-down, and adaptive memory behavior under concurrency.
Bring HubSpot's marketing, sales and service data into Power BI as a governed, incremental dataset — without CSV exports, without third-party sync layers, and without the analytics debt that comes with both.
Contacts, Companies, Deals, Tickets, Engagements, and custom objects — including associations, properties, and pipeline stages.
Campaigns, email events, form submissions, deal progression — surfaced as a coherent data model, not a collection of disconnected reports.
Refreshes pull only what's changed using modified-since windows — conservative on API limits, fast on large portals.
HubSpot's property history is retained across refreshes — essential for lifecycle, attribution, and sales-velocity analytics.
Consolidate multiple HubSpot portals into a single governed dataset, with portal-aware row-level security for distributed teams.
Refresh windows adapt to HubSpot's daily API allowances — predictable behavior even on high-volume Marketing Hub Enterprise portals.
Most engagements begin with a 30-minute technical conversation: source systems, data volumes, deployment model, and governance constraints. From there we scope a proof of concept against your actual workloads.