Zoho DataPrep helps teams bring scattered data together, clean it, reshape it and move it into trusted destinations. Macrofix helps define the pipeline, controls and ownership before DataPrep becomes part of a reporting or operational workflow.
Reliable analytics starts before the dashboard. We map the systems, files and data owners behind your reporting, then design a repeatable preparation workflow with checks for quality, lineage, refreshes and exceptions.
Start with a focused pipeline or a broader data-preparation rollout. We agree the sources, transformations, destinations and operating owners, then test a representative flow before automating scheduled movement.
Connect approved files, cloud storage, business apps, databases or supported feeds with a documented source register. We review authentication, refresh schedules, schema changes and ownership so imports remain explainable.
Profile missing, duplicate, invalid and sensitive values before they reach a dashboard or application. We define rules for cleansing, masking, validation and exception review so the pipeline improves data instead of hiding defects.
Configure the transformations that make datasets usable: standardization, formulas, joins, append operations, pivots and approved enrichments. Each step is named and tested so a future owner can maintain it.
Build visual flows from source to destination and set schedules or triggers around real operating needs. We document what happens when a run pauses, a schema changes or a destination rejects data.
Use versioning, sandbox tests, access controls, audit evidence and monitoring to keep data movement manageable. Handover includes pipeline ownership, review cadence, runbook and support path.
The deliverable is more than a cleaned file. We leave a maintainable pipeline with source and destination maps, transformation rules, quality checks, owners, test evidence and an agreed process for changes.
Confirm the current DataPrep edition, source and destination limits, rows processed, regional availability and connected-app costs before committing. Macrofix implementation and managed support are separately scoped services; data protection, retention and business approvals remain with your organization.
Start with the decisions and destinations that matter. Agree sources, quality rules and success measures, configure a representative pipeline, then expand only after owners can explain the output and recover a failed run.
Acceptance testing compares prepared data with agreed source records and business rules. Review run completion, row counts, transformation results, permissions, destinations and edge cases before the pipeline is released to a wider audience.
The agreed project can include discovery, source connections, profiling, transformations, pipeline design, destinations, testing, documentation and training. We set scope after reviewing your systems, data owners and operating priorities.
We can scope supported files, cloud storage, business applications, databases and feeds. Connector availability, authentication, region and edition are checked before implementation.
Yes. We can define profiling, validation, duplicate handling, missing-value rules, standardization and exception review. The business owner approves the rule set before it is automated.
Yes. We can configure visual data flows, destinations, schedules and monitoring around the agreed refresh need. We also test what happens when a run fails or a schema changes.
We scope role access, sensitive-field handling, retention, masking or tokenization where supported and audit evidence. Your organization remains responsible for legal, privacy and approval requirements.
Yes. Handover can include runbooks, ownership maps, admin training, application handoffs and an agreed support or improvement cadence.
Share the sources you need to prepare, the destinations you rely on and the data-quality issues slowing your team down. Macrofix will help define a DataPrep implementation, pipeline and support scope that fits your operating model.