Analytics Studio, Data Pipelines, and Workflow Engine — three products that close the loop between insight and action. Visual ETL with no SQL required for business analysts. Embedded BI for executives. Workflow automation that fires the moment a metric crosses a threshold. POPIA data lineage tracked from the first pipeline stage.
South African data teams stitch together Snowflake, Fivetran, dbt, Looker, Zapier, and a UiPath licence — paid in dollars, governed by no one, audited by accident. Cluster 03 was built specifically to dissolve those four problems with one platform.
Most analytics ends at the chart. The dashboard flags a 14% drop in conversion, an exec sees it in the morning, an analyst opens a ticket — and the response sits in a backlog for a week. Data without a trigger is a wall poster, not an operating system.
When a data subject access request arrives, you have 30 days to show every system that processed their personal information and the legal basis for each transformation. Most data warehouses cannot answer that. They were not designed to.
Marketing waits two weeks for an attribution chart. Operations waits a sprint for a stock-out report. The bottleneck is not insight — it is the SQL skill required to extract it. Business analysts who could ship the chart in an hour cannot get past the join.
Every operational team has automation candidates buried in their ticketing logs, their email threads, and their forms. Process mining surfaces them — but the established tools are priced for Fortune 500 budgets and never speak ZAR.
The Data & Analytics OS sits between Cluster 01's AI and Cluster 02's infrastructure. It feeds the AI products with clean, governed data, and exposes the cloud spend, security findings, and pipeline health from Cluster 02 as first-class analytics surfaces.
Analytics tells you what is happening and why. Automation acts on that insight without requiring human intervention for each decision. Together they form a closed loop: data surfaces a pattern, automation responds to it. Sold as separate products, the gap between them is bridged manually. Sold as one OS, the loop closes automatically — and the longer it runs, the more processes get folded in.
Each product solves a specific bottleneck for a specific persona — but they were designed to compose. Analytics Studio reads from Data Pipelines. Workflow Engine triggers from Analytics Studio thresholds. Document Processing feeds the AI agents in Cluster 01.
Embedded BI for operational and executive reporting. No SQL required for standard dashboards.
Visual ETL/ELT design with POPIA lineage written automatically by every transformation.
500+ app integrations with visual workflow design — every execution logged with POPIA processing basis.
The Data & Analytics OS does not require you to migrate. It reads from the systems your business already runs in — Sage, Xero, SAP, Salesforce, Postgres — and writes back into the apps your team already uses every day.
South African finance teams live in Sage, Xero, and Pastel — and increasingly the larger ones live in SAP. The OS reads transactional data, GL accounts, and AR/AP positions live, with no nightly export gymnastics.
Pre-built attribution and pipeline analytics across the channels your marketing and sales teams already pay for. Multi-touch attribution, channel ROI, and lead-to-cash flow — out of the box.
Point Data Pipelines at any database, warehouse, lake, or stream. CDC (change data capture) is supported on Postgres and MySQL. Streaming sources land at sub-second latency.
Workflow Engine reaches the apps your team already lives in. The library covers the obvious (Slack, Teams, Gmail) and the necessary (WhatsApp Business, signing tools, ticketing systems, HRIS).
When a data subject access request lands, you have 30 days to respond. POPIA Sections 23 and 24 require you to identify every system that processed personal information, the legal basis, and the recipients. The Data & Analytics OS records this on every transformation — not retroactively.
Cluster 03 is the broadest cluster by buyer base — every department has analytics needs and automation candidates. The patterns below recur across legal, financial services, retail, healthcare administration, and manufacturing.
Cluster 03 is a Phase 2 build. Analytics Studio and Data Pipelines launch alongside Cluster 02's Cloud Console. Workflow Engine and Document Processing follow in Q3 2027. Process Discovery rounds out the cluster in Q4.
Data & Analytics OS is included in Growth and Enterprise tiers. Volume metering applies on data scanned (Analytics Studio), pipeline rows processed (Data Pipelines), and document pages (Workflow Engine). Embedded analytics is per external seat.
Growth includes any three clusters — pick Data & Analytics with AI Dev Platform and Cloud & DevOps for the complete operations OS. Enterprise includes all five clusters plus Governance Hub. Standalone Data & Analytics tier opens at the entry of Phase 2.
Cluster 03 ships from Q2 2027 onwards, funded by Phase 1 platform revenue. Joining the early interest list secures founding-customer pricing and direct input into the cluster's connector roadmap.