Data Cleansing & Enrichment Services
A dedicated data pod that standardises, deduplicates, verifies and enriches the customer and prospect records in your CRM, inside your own systems.
Overview
CRM and business databases decay. Contacts change jobs, phone numbers stop working, the same company is entered three ways, and a form fill and an import create two records for one person. Infusion Business Intelligence runs a dedicated data cleansing and enrichment pod that works inside your Salesforce, HubSpot, Zoho CRM, ERP or secure database. The pod standardises formats, finds and merges duplicates under rules you approve, verifies email addresses, direct phone numbers and job titles, and fills missing fields from sources agreed with you. Automated checks speed the work up; a person verifies and corrects what they flag.
What are data cleansing and enrichment services?
Data cleansing services fix the records you already hold: standardising formats, merging duplicates and correcting or removing outdated details. Enrichment then verifies and adds missing fields such as job titles and direct phone numbers. Infusion BI runs both as a dedicated pod working inside your CRM, never outside client-approved systems.
Common Operational Challenges
Duplicate Records Everywhere
The same customer or prospect appears several times, so two reps call the same person and reports count one account as many.
Contact Data That Has Gone Stale
Bounced emails, dead phone numbers and old job titles drag down campaign contact rates and waste SDR time.
No Two Fields Formatted Alike
Country names, phone formats, company names and industries are typed differently by every team and every import, so segments and routing rules break.
Clean-Ups That Never Get Finished
Internal teams start a clean-up between other priorities, and by the time it ends the first records have already decayed again.
Target Outcomes
One record per customer or prospect, consistent fields, verified contact details, and campaign lists your sales and support teams can trust.
Capabilities & Solutions
Data Standardisation
Bringing names, addresses, phone numbers, countries, industries and other fields into the formats your CRM and reports expect.
Database Deduplication
Finding duplicate contacts, companies and accounts, and merging them under match rules you approve so history is kept in one record.
Contact Verification
Checking prospect and customer email addresses, direct phone numbers and job titles, and updating or flagging those that no longer hold.
CRM Data Enrichment
Filling missing fields on existing records, such as job title, company details or a direct phone number, from sources agreed with you.
Opt-Out and DNC Flagging
Marking opted-out contacts and numbers on DNC/NDNC registries so cleaned lists do not lead to unwanted outreach.
Record Indexing & Categorisation
Indexing records and running categorisation checks, including product catalog data for e-commerce and retail teams.
Onboarding & Delivery Process
Discovery
Assess operations volume, tools stack, and client expectations.
Solution Design
Co-author operational workflows and custom quality checks.
Recruitment
Profile and onboard domain-certified BPO specialists.
Pilot Launch
Deploy minor pilot pods to establish routing configurations.
Scale & Audit
Deploy full operational volume under daily KPI reviews.
Discovery
Assess operations volume, tools stack, and client expectations.
Solution Design
Co-author operational workflows and custom quality checks.
Recruitment
Profile and onboard domain-certified BPO specialists.
Pilot Launch
Deploy minor pilot pods to establish routing configurations.
Scale & Audit
Deploy full operational volume under daily KPI reviews.
Technology & Integrations
Your CRM & Databases
Salesforce, HubSpot, Zoho CRM, custom ERP systems and secure database connections.
Automated Validation
Automated validation scripts flag format errors and likely duplicates; specialists verify and correct them.
Secured Cloud Data
Encrypted data transmission channels and secure zero-trust logins.
BI Reporting Dashboard
Processing speed, daily volume and error rates visible to your team.
The Infusion BI Difference
Infusion Business Intelligence differs from a traditional BPO vendor in four operating areas: staffing, quality assurance, reporting, and SLA governance. Infusion BI assigns dedicated delivery pods instead of shared agent pools, AI-audits 100% of interactions instead of sampling, and reports through live dashboards instead of static weekly summaries.
| Area | Traditional BPO | Infusion BI |
|---|---|---|
| Staffing model | Shared staffing pools with high churn rates. | Dedicated delivery pods assigned exclusively to your program. |
| Quality assurance | Manual random QA call/ticket sampling checks. | 100% real-time AI conversations quality audit checks. |
| Reporting | Static weekly basic text reports. | Live executive BI client performance dashboards. |
| SLA governance | Generic SLA parameters with reactive support. | Domain-specific governance and SLA accountability. |
Who This Is For — and Who It Isn’t
A good fit if you…
- Sales and marketing teams whose CRM holds duplicate, outdated or incomplete contact records that hurt campaign contact rates.
- Companies preparing a CRM migration, merger of databases or new routing rules that need consistent fields first.
- Teams that want cleansing to continue as an ongoing process inside their CRM, not as a file sent away and returned.
- Operations leaders who want daily reporting on records processed and error rates.
- Regulated businesses (BFSI, insurance) that need clean-desk, zero-local-storage handling of customer data.
Not the right fit if you need…
- A one-off clean-up of a few days rather than an ongoing data operation.
- Buyers looking to purchase bulk contact lists; we do not run "spray" lists without ICP validation.
- Work that requires processing your data outside client-approved systems.
Scope & Exclusions
The pod owns the hygiene of records that already sit in your systems: their format, uniqueness, accuracy and completeness. Match rules, field standards and enrichment sources are written into the SOW before go-live.
What the team does
- Profiling your database to show where duplicates, missing fields and format problems are concentrated.
- Standardising names, addresses, phone numbers, countries and other agreed fields.
- Deduplicating contacts, companies and accounts under approved match and merge rules.
- Verifying email addresses, direct phone numbers and job titles, and enriching missing fields from agreed sources.
- Flagging opted-out contacts and DNC/NDNC-registered numbers.
- Daily reporting on records processed, error rates and open exceptions.
What it explicitly does not do
- No data processed outside client-approved systems.
- No purchased "spray" lists without ICP validation.
- Uncertain matches are flagged for your decision; records are not merged or deleted on a guess.
How It Works
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01
Rules agreed with your team
During onboarding we document your field standards, what counts as a duplicate, which record wins in a merge, which enrichment sources are allowed and who signs off exceptions. The pod works only to those rules.
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02
Database profiled
The pod reviews the records in scope and reports where duplicates, empty fields and inconsistent formats sit, so you can see the starting point and set priorities.
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03
Fields standardised
Names, addresses, phone numbers, countries and other agreed fields are brought into one format. Automated validation flags errors and a specialist checks and corrects each one.
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04
Duplicates merged
Likely duplicates are matched under the agreed rules and merged so the surviving record keeps the full history. Matches the rules cannot settle go to your team as exceptions.
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05
Contacts verified and enriched
Email addresses, direct phone numbers and job titles are checked and updated, missing fields are filled from agreed sources, and opted-out or DNC/NDNC-registered contacts are flagged.
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06
QA, reporting and upkeep
The QA analyst samples cleaned records against the rubric. You get daily reports, and the pod keeps applying the same rules to new and changed records so the database stays clean.
What We Measure
- Processing accuracy rate (99.9% published across data processing programs)
- Records processed per day
- Duplicate records found and merged
- Fields standardised and fields enriched
- Error rate found in QA sampling
- Open exceptions awaiting your decision
The Dedicated Data Quality Pod
Your program starts with one small dedicated pod — data specialists plus a team lead and a QA analyst — sized in the SOW to the agreed record volume. Headcount is never shared with other clients.
Data Specialists
Background-verified specialists trained in data-security compliance, your CRM and your field and match rules.
Team Lead
Manages daily volume and priorities, routes exceptions to your team and owns daily performance reporting.
QA Analyst
Samples AI-scored records against the QA rubric and drives corrective action on any error.
The pod works inside your Salesforce, HubSpot, Zoho CRM, ERP or secure database connections — no data is processed outside client-approved systems — with ISO 27001-aligned controls (certification in progress).
Quality & Governance
Every cleaned record is scored by AI-assisted QA against five dimensions and sampled by the pod's QA analyst. Failures trigger CAPA (corrective and preventive action).
Accuracy
Standardised, merged and enriched values are correct.
Compliance
Data-handling, access, opt-out and DNC/NDNC rules are followed.
Outcome
Each record is unique, complete against the agreed fields and ready to use.
Customer Experience
Clarity and professionalism wherever a contact detail is confirmed with your customers.
Process Adherence
Agreed match rules, system logging and exception path used.
Governance cadence
Daily performance reports, weekly governance reviews and monthly business reviews.
Pilot & Engagement Terms
The pilot is the standard 3-month initial term — there is no separate "free trial". You start small, measure against agreed metrics, and decide at the end of the term whether to scale, adjust or exit.
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01
Discovery & scoping
A scoping call, then a written pilot SOW with 3–5 success metrics agreed before go-live.
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02
NDA + SLA
NDA and SLA are signed before any data transfer.
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03
Onboarding & certification
Onboarding and agent certification take 2–4 weeks.
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04
Live delivery
Daily performance reports and weekly governance reviews from day one of live work.
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05
Pilot review
An end-of-term pilot review: scale, adjust, or exit.
Pod
One small dedicated pod — agents plus a team lead and a QA analyst — sized in the SOW to the agreed volume. Headcount is never shared with other clients.
Pricing
Per dedicated FTE per month or volume-based, quoted after scoping.
Exit terms
No obligation to renew after the initial term. On exit, your SOPs, knowledge base and reports are handed back, system access is revoked, and your data is returned or deleted per the agreement.
Frequently Asked Questions
Ready to Transform Your BPO Operations?
Coordinate with our directors to align your delivery parameters and quality control metrics.
Schedule a Discovery Call