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Riskonnect is an integrated risk management platform offering ERM, GRC, EHS, claims, and insurance solutions for global enterprises.
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Makini maintains a comprehensive data model built from analyzing thousands of industrial systems. When data flows through Makini, we automatically transform it from the source system's format into our standardized structure. For example, purchase orders from SAP, NetSuite, and Dynamics all return with consistent field names, data types, and structures. This normalization happens in real-time as data passes through the API. You also have access to raw data if needed for specific use cases. The unified model covers common entities like purchase orders, work orders, inventory items, vendors, and assets, with extensive field coverage across systems.
Makini's purchase order data model includes comprehensive field coverage across all major ERP systems. Standard fields include order number, line items, vendor information, quantities, unit prices, dates (order date, required date, delivery date), status, currency, ship-to and bill-to addresses, payment terms, and custom fields. Each line item includes product/material codes, descriptions, quantities, unit of measure, pricing, and delivery information. The specific fields available depend on the source system's capabilities. You can view the complete field mapping for any connected system in the Makini dashboard, and custom fields can be added as needed for your specific requirements.
Data synchronization frequency is configurable based on your requirements. For real-time needs, Makini supports webhook-based synchronization where changes trigger immediate updates. For scheduled syncing, common intervals range from every 15 minutes to daily, depending on data volume and business requirements. The initial sync after connecting a system retrieves historical data based on your configuration—typically 30-90 days of historical records. Subsequent syncs are incremental, retrieving only records created or modified since the last sync. Sync frequency doesn't affect pricing. You can also trigger manual syncs on-demand via API when needed for specific workflows.
Makini uses cursor-based pagination for retrieving large datasets. API responses include a next_cursor field when additional results are available. To retrieve the next page, include the cursor value in your next request: GET /api/v1/purchase-orders?cursor=CURSOR_VALUE. Cursor-based pagination is more reliable than offset-based pagination because it handles data changes between requests—if records are added or deleted while you're paginating, you won't miss records or see duplicates. Page size is configurable up to a maximum limit (typically 100-500 records per page depending on entity type). For optimal performance, use the largest page size your application can handle efficiently. The API response also includes total count when available from the source system.
