Data quality, systems support & technical business analysis

Fix your data so your business can trust it.

Prolytica helps small and medium organisations clean, structure, validate, and protect their data so reporting works, systems align, and decisions are based on reliable information.

Engagement options

Flexible support designed to provide practical outcomes without the cost of a full-time resource.

Focused investigation

Best when you need to understand a specific issue, mismatch, or reporting problem.

  • Identify root cause
  • Review systems and data
  • Clear findings and next steps

Typically $800 – $1,500

Defined projects

Used where the outcome is clear — such as data cleanup, rule definition, or reporting preparation.

  • Scoped deliverables
  • Clear outcome
  • Practical implementation

Typically $1,200 – $4,000+

Ongoing support

Best for organisations that need consistent support across data, reporting, and system issues.

  • Weekly or monthly allocation
  • Flexible use of time
  • Continuity and system familiarity

Monthly retainer options below

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.

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.

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.