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Technical business analysis, data quality & system improvement

Data quality, process clarity, and system alignment for organisations going through change.

Prolytica helps organisations improve data quality, align systems, and define clear processes so reporting works, systems integrate, and decisions are based on reliable information.

Most work focuses on environments where systems are live, but data and processes are not yet fully aligned.

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Best suited for

  • Councils and public sector organisations
  • Operational and asset-based businesses
  • Manufacturing, distribution, and logistics environments
  • Organisations undergoing ERP or system change
  • Teams dealing with inconsistent or untrusted data
  • Environments where systems and reporting do not align

Prolytica works best where data, systems, and processes need to be stabilised, aligned, and made reliable.

You might be looking for help to

  • Fix mismatched reports between systems
  • Understand why data does not align across platforms
  • Prepare data for migration, reporting, or system change
  • Define clear business rules and validation processes
  • Investigate integration or system issues
  • Reduce manual work and recurring data problems

Prolytica focuses on identifying root causes and delivering practical, structured improvements that last.

Engagement options

Short investigations

Useful when you need to understand a problem, review a process, or identify what is causing data or system issues.

Fixed-scope quotes available

Defined projects

Best where the outcome is clear, such as data cleanup, business rule definition, reporting preparation, or process documentation.

Priced to scope

Ongoing support retainers

Suitable for recurring data, reporting, and operational support where continuity and system familiarity matter.

Monthly options available

Pricing depends on scope, data quality, system complexity, urgency, and whether the work is one-off or ongoing.

Ongoing support packages

Light Support

For smaller organisations or lower-volume support needs.

  • ~8 hours per month
  • Ad-hoc data and system issues
  • Light reporting support

$800 – $960 / month

Core Support

Recommended — balanced support with enough time to deliver meaningful improvements.

  • ~16 hours per month
  • Data cleanup and validation
  • System troubleshooting
  • Reporting and process improvement

$1,400 – $1,800 / month

Embedded Support

For organisations needing deeper involvement and continuity.

  • ~24–32 hours per month
  • Ongoing optimisation and support
  • Broader system and data ownership

$2,400 – $3,600 / month

Most engagements start with a focused investigation before moving into project work or ongoing support. Final pricing depends on data quality, system complexity, and scope.

Common problems Prolytica helps solve

  • Reports do not match between systems
  • Data cannot be trusted
  • Manual work is creating errors
  • No clear business rules exist for data entry or validation
  • Systems do not align after integration
  • Teams are spending too much time fixing avoidable data issues
  • Processes are unclear or inconsistently followed
  • Reporting is difficult because the underlying data is not ready

How Prolytica works

  • Start with the business problem, not just the tool.
  • Focus on data, logic, risk, and practical outcomes.
  • Keep scope clear and documentation useful.
  • Use the simplest workable solution that delivers value.

Working style

Prolytica works with a small number of clients to provide focused, reliable support and enough continuity to properly understand the business.

  • Defined projects or structured retainers
  • Consistent support without enterprise overhead
  • Part-time friendly model for ongoing operational needs
  • Best suited to organisations that value thoughtful, detail-oriented work

Support can be applied flexibly across business analysis, data quality, documentation, reporting readiness, and technical troubleshooting as agreed in scope.

Case study — Improving data quality after CRM implementation

Client

Local Government Organisation (New Zealand)

Problem

Following a CRM implementation, data across systems did not align. Records were inconsistent, reporting could not be trusted, and teams were spending time manually investigating discrepancies between systems.

Approach

  • Reviewed and compared datasets across CRM and financial systems
  • Identified inconsistencies, missing records, and structural issues
  • Applied pattern analysis to trace root causes of mismatches
  • Maintained structured logs of issues, fixes, and outcomes
  • Worked with stakeholders to support data correction and improvement

Outcome

  • Improved consistency and reliability of data across systems
  • Reduced time spent investigating data issues
  • Increased confidence in reporting outputs
  • Established clearer data handling and validation practices

Typical of post-implementation environments where systems are live but data quality and alignment need to be stabilised.

Case study — Extracting and analysing deduction data from invoices

Client

Manufacturing & Distribution Business (New Zealand)

Problem

Distributor invoices contained complex and inconsistent deduction data across multiple formats. The business lacked visibility into deductions, making it difficult to validate charges, identify trends, and manage disputes.

Approach

  • Developed automated extraction processes to capture invoice data
  • Structured and standardised unstructured data sources
  • Performed validation, matching, and reconciliation across datasets
  • Tracked data across full lifecycle from shipment to payment
  • Produced regular reporting highlighting discrepancies and trends

Outcome

  • Recovered thousands of dollars in incorrectly applied deductions through targeted analysis and dispute support
  • Improved visibility into deduction activity and underlying cost drivers
  • Enabled the business to independently identify and challenge invalid deductions
  • Established structured, repeatable processes for ongoing deduction review and dispute

Typical of environments where data exists but is difficult to access, interpret, or trust without structured processing.

Need help fixing data issues, reporting problems, or unclear system processes?

Email info@prolytica.nz with a short summary of the issue, the systems involved, and the outcome you want.

Typical starting points include a short investigation, a clearly scoped piece of work, or an ongoing monthly support arrangement.