Upstream of Datox
Source systems, warehouses, administrators and providers deliver data through scheduled API pulls, database reads, SFTP drops or file uploads.
Platform
600+ integrations. Add Datox without replacing what already works.
Datox sits between your data sources and your reporting outputs. It connects to over 600 systems and data sources, including enterprise platforms such as SAP and HubSpot, as well as files, documents, databases and SFTP feeds. It does not require you to move your warehouse, change your accounting system or abandon your BI tools; it takes over the fragile, manual layer in the middle.
Integration patterns
How Datox connects
Downstream of Datox
Finished reports, submission files and clean datasets are delivered to file destinations, SFTP endpoints, downstream services or analytics tools.
Alongside your warehouse
Where a data warehouse exists, Datox can read from it as a source and write curated reporting datasets back, rather than duplicating it.
Alongside your BI stack
Datox produces the governed reporting dataset; dashboards continue to live in the BI tool your organisation already uses.
Ecosystem
The kinds of systems Datox connects to
Connectivity spans enterprise applications, finance and operations systems, data platforms and provider feeds. SAP and HubSpot are confirmed examples; the remaining categories describe connection patterns rather than named vendor relationships.
SAP
Confirmed integration: read finance and operational data for consolidated reporting.
HubSpot
Confirmed integration: pull CRM records into recurring commercial and operational reporting.
ERP & accounting systems
General ledger, sub-ledger and consolidation extracts across entities and currencies.
Portfolio, custody & administration
Positions, transactions, valuations and investor data from providers and internal systems.
Warehouses & databases
Governed reads from relational databases, warehouses and curated reporting tables.
Cloud applications & APIs
Scheduled pulls from business applications and internal services that expose a data interface.
Consolidation
Coexist first. Consolidate where it pays.
Most organisations start by automating one painful reporting process. Over time, as more workflows move onto the same platform, the number of separate scripts, spreadsheets and handoffs falls, and that is where the larger saving appears.
Typical progression
- Automate a single high-effort report end to end.
- Reuse the same connectivity and mappings for adjacent reports.
- Move recurring spreadsheet models into configured transformations.
- Retire ad-hoc scripts as the workflows that depend on them move across.
- Standardise review and approval across the reporting suite.
Beyond the integrations named here, systems referenced in a demo or proposal illustrate a connection pattern rather than a certified vendor partnership. The integrations required for your workflows are confirmed and scoped during deployment.