Duplicate, outdated and inaccurate records waste sales and marketing hours every week and quietly distort every forecast. Our data cleansing services dedupe, validate and standardize your CRM, marketing and ERP data at 99.9% accuracy, turning a database nobody trusts into one that holds up.
Business databases decay quietly. The same customer is entered twice under different spellings, decision-makers change roles without the record being updated, and data from an acquired system loads in a format nobody reconciles. Two years on, campaigns bounce and pipeline reports count the same account twice.
Hitech BPO is a data cleansing company that fixes this at the record level. Our outsourced data cleansing services remove duplicate, inaccurate and incomplete data from CRM, marketing, ERP, product and supplier databases, working on your existing systems with no migration and no disruption to your team.
Every engagement starts with data profiling, then applies cleansing rules you approve: deduplication, standardization, validation and enrichment. Records that need judgment go to trained specialists rather than a script. You get a database at 99.9% accuracy, with a record-level change log and accuracy reporting on every cycle.
Years of Experience
Data Specialists
records cleansed
Availability
Accuracy Achieved
data specialists
Our CRM data cleansing services remove duplicate contacts, accounts and leads, standardize opportunity and activity fields, and validate emails and direct dials so your CRM database supports accurate pipeline forecasting.
Decision-maker records go stale faster than any other data you hold. We correct job titles and firmographics, standardize company names, and verify business contacts at account level.
Lower bounce rates and campaign metrics you can trust. We validate emails and phone numbers, suppress expired leads, and dedupe across every list import before it reaches your automation platform.
Vendor and material masters accumulate duplicates that inflate inventory and trigger payment errors. We clean and standardize master records, then reconcile them across modules so planning runs on real numbers.
We normalize product attributes, standardize catalog descriptions and taxonomy, deduplicate SKUs, fill missing fields and enforce pricing consistency, so listings stay accurate across every sales channel.
Cleaner procurement data, fewer audit exceptions. We dedupe supplier records, correct tax and registration details, and standardize vendor data so finance stops paying the same invoice twice.
The client sells business data to institutional investors, so CRM accuracy is the product rather than a back-office concern. We authenticated existing company records against verified sources and appended new profiles only after they cleared eligibility rules agreed with the client.
View Case Study »
The client’s CRM data feeds directly into the analytics product it sells to educational institutions. We built a dedicated team to validate records daily across researcher, geography and paper-type parameters, applying human judgment on the calls where a rule would guess.
View Case Study »The individual techniques we apply, selected based on what your data profiling reveals.
We standardize names, addresses, dates, phone patterns and country codes to one agreed schema, and correct capitalization, spelling and invalid characters. Your records follow a single structure and import into any downstream system without rejections.
We run exact and fuzzy matching to catch duplicates hiding behind variant spellings, abbreviations and changed addresses, then merge them under survivorship rules you approve. You get one clean record per entity and reporting that stops double-counting.
We validate emails, phone numbers, postal addresses and business identifiers against verified reference sources, flag values that fail your rules, and sample-audit the output. You receive the measured error rate, so accuracy is a number rather than a claim.
We complete missing fields from sources that can be verified and append firmographic, demographic and geographic attributes where they add value. Unverifiable gaps are flagged, not guessed, so segmentation and territory planning run on data you can rely on.
We match the same customer across CRM, billing, support and ERP where identifiers differ, resolve conflicting fields into one golden record, and align keys between systems. Every team then works from a single consolidated customer view.
We run scheduled cleansing cycles, daily through monthly, combining automated rule checks with periodic manual audits. You receive an accuracy report and a record-level change log each cycle, so cleansed data stays clean instead of decaying again.
We deliver at 99.9% accuracy. Output is sample-audited against your approved rules and the error rate is reported back, so data quality is a number you can track, not a claim you have to take on trust.
Every duplicate merged and field standardized is work your team stops repeating. Clean records import without rejection, cut the reconciliation hours finance and operations absorb each month, and release analysts to analyze instead of correct.
Deduplicated records make pipeline and revenue reporting reconcile, standardized fields make segmentation and territory planning possible, and validated contacts lift campaign deliverability. Analytics and CRM dashboards start reflecting the business rather than distorting it.
Running data operations since 1992 with 800+ specialists, we have cleansed a 14.5 million-record database spanning 50 attributes and 60 countries on a 12-hour delivery cycle. Backlogs, ongoing programs and one-time cleanups all fit.
We analyze your datasets to identify duplicates, errors, missing values and inconsistent formats. You see the scale of the problem, and we agree the cleansing rules, before any record changes.
Duplicate records are matched and merged under the rules you approved, and inaccurate or incomplete fields are corrected. Judgment calls go to a trained specialist, not an automated rule.
Names, addresses, dates and contact formats are unified so every record follows one consistent structure. Cleansed data then imports into your systems without rejections.
Emails, phone numbers and business identifiers are verified against trusted reference sources. We sample-audit the output and report the accuracy achieved, so quality is measured rather than assumed.
Scheduled cleansing cycles and ongoing monitoring catch new errors before they spread. You receive an accuracy report and a record-level change log each cycle.
We offer industry-specific data cleansing services that ensure accuracy, compliance, and usable data.
FAQs
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What’s next? Message us a brief description of your project.
Our experts will review and get back to you within one business day with free consultation for successful implementation.
Disclaimer:
HitechDigital Solutions LLP and Hitech BPO will never ask for money or commission to offer jobs or projects. In the event you are contacted by any person with job offer in our companies, please reach out to us at info@hitechbpo.com
