Defined metrics and sources
Make records more consistent while preserving the ability to explain what changed.
Data cleanup and deduplication
Make your business records easier to trust.
Make records more consistent while preserving the ability to explain what changed.
Project valueQuoted to scopeNo payment before scope agreement
DeliveryAgreed with your quoteScoped after discovery; after brief, access and approvals
Your first milestoneDefine the decisionA useful review point before the next stage
Trust the number before decorating it
Validation against samples
Definitions, refresh timing and data quality shape every report. We surface those assumptions so a dashboard does not make uncertain data look authoritative.
Refresh and exception visibility
Visible definitions and source checks help your team interpret the results.
In our clients’ words.
“The work process was very collaborative and the communication went well.”
“Could interpret our work into a practical easy to use website.”
“ICM did a great job, on time and within specified budget.”
WHAT YOU RECEIVE
Your Data cleanup and deduplication project, clearly defined.
Teams assembling reports manually or processing repeatable documents and records.
Quality rules
Describe the trigger, each decision and the expected output, with clear approval boundaries. Exceptions are routed to a named owner instead of repeatedly retrying a business action without oversight.
Cleanup scripts
Prepare the agreed words, labels or language assets for their intended audience and format. Your team approves business facts, claims and specialist terminology before publication; final delivery includes the agreed editable or platform-ready format.
Before-and-after validation
Run agreed representative cases and record the outcome and remaining limitations. Results identify the tested environment and coverage; they do not imply that every device, attack or future business condition was tested.
Scope and requirements
Destructive merges require approved matching rules and a recoverable backup.
Any additional work is scoped and priced for your approval.
THE DELIVERY PATH
From your brief to the finished work.
Follow the preparation, review and delivery stages for this service.
Define the decision
Agree the questions, documents, metrics and source systems.
Review the model
Check mappings and sample output with the people who understand the data.
Implement and reconcile
Build the pipeline or report and compare it with agreed reference examples.
Document the refresh
Explain ownership, schedule, limitations and exception handling.
What is included?
Includes Quality rules, Cleanup scripts and Before-and-after validation. Destructive merges require approved matching rules and a recoverable backup.
Can AI extract every document perfectly?
No. Layout variety and poor source quality affect extraction. We define confidence thresholds and human review where needed.
Are existing data problems fixed automatically?
We identify quality issues and agree cleanup rules. Unbounded historical cleanup is not assumed to be included.
Will the report update in real time?
Refresh frequency depends on sources, APIs and the agreed architecture; it is stated in the scope.
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YOUR NEXT LEAP STARTS HERE
Ready to put Data cleanup and deduplication to work?
Share the change you want to make. We will help turn it into a clear, practical project.