- Fix mismatched reports between systems
- Clean up CRM or financial data before migration
- Identify why reporting numbers don’t align
Data quality, systems support & technical business analysis
Fix your data so your business can trust it.
Prolytica helps organisations across New Zealand clean, structure, validate, and fix their data so reporting works, systems align, and decisions are based on reliable information.
You might be looking for
- Define data rules and validation processes
- Investigate system or integration issues
- Resolve ongoing data quality problems
If any of these sound familiar, Prolytica helps identify the root cause and deliver practical fixes.
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.
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.