Identify, Fix, and Resolve Data Quality Issues Column by Column
WinPure's data profiling software scans your records across 30+ quality dimensions, revealing every missing value, format inconsistency, anomaly, and duplicate before you cleanse, match, or migrate. No code, no scripts, and no data ever leaves your environment.
See Hidden Anomalies, Get Quality Scores and Insights into the State of Your Data
Data profiling gives you a clear view of the quality, structure, and consistency of your data before cleansing, matching, migration, or reporting begins. It reveals incomplete fields, invalid values, inconsistent formats, and structural issues that could affect the work ahead.
WinPure scans every column and field, providing an overall data quality score, with ratings for completeness, validity, format, and structural integrity. Results are visually classified as Excellent, Good, Needs Review, or Priority Fix, helping teams focus on the areas that need attention. Profiling runs entirely within your environment, with no scripts, queries, or external data transfers required.
WinPure is the only desktop-first data quality platform that runs profiling, cleansing, matching, and deduplication in a single no-code environment, with no data ever leaving your environment.
Discover & tackle the full scale of issues affecting the quality of your data
SCORING, SEVERITY AND RECOMMENDATIONS
When several columns need attention, WinPure shows which problems have the greatest impact on the dataset. Quality scores establish a measurable baseline, while severity ratings and practical recommendations help teams organise remediation around the issues that matter most.
Your team can:
- Assess overall dataset health: Use a percentage score to establish the current quality baseline.
- Categorise columns by severity: Identify fields rated Excellent, Good, Needs Review, or Priority Fix.
- Act on prioritised recommendations: See the affected column, issue, impact, priority, and recommended action.
COLUMN AND STRUCTURE ANALYSIS
WinPure examines the content and structure of each column to reveal what is affecting its quality. Teams can see whether problems come from missing values, invalid patterns, inconsistent formats, unwanted characters, or unusual distributions, with the scale of each issue shown in context.
With this level of analysis, you can:
- Measure completeness and validity: Quantify missing values and identify records that fail expected patterns.
- Detect format and structural issues: Find inconsistent casing, spacing, punctuation, tabs, line breaks, and non printable characters.
- Examine statistics and distributions: Review distinct values, common values, lengths, ranges, and frequency patterns to uncover anomalies.
Profile and Clean in One Workflow
Once profiling has mapped your issues and the recommendations panel has ranked them, the fixes are just one click away. From the same window, apply more than 30+ cleansing rules directly to the fields and formats the profiling scan flagged. There is no additional coding or module to add on to clean and transform your data in one workflow.
With this workflow, users can:
- Standardise formats in one step: Apply cleansing rules to fields the profiling scan flagged. Correct casing, spacing, and format issues without leaving the application.
- Fix invalid values directly: Address validity and pattern failures identified during profiling. Incorrect postcodes, malformed emails, and structured field errors resolved from the same interface.
- Clear structural issues on the spot: Remove trailing spaces, non-printable characters, and inconsistent delimiters flagged during character and structure analysis.
Profiling, Cleaning, Deduplicating all in one platform
Connect or import data source
WinPure connects directly to your data sources and imports a copy of your data into the platform. Bring in flat files, Excel spreadsheets, CSV and delimited files, CRM exports, or connect to SQL databases including SQL Server, MySQL, Oracle, and Access. Before profiling runs, you can preview your dataset in full, select the columns you want to assess, set column types, and make initial decisions about how each field should be treated.
Discuss Your Data Profiling Requirements
Tell us about your dataset and we will show you what profiling reveals.
Compare a Custom Data Profiling Process with WinPure
| Function | Custom queries and scripts | WinPure data profiling |
|---|---|---|
| Initial setup | Checks must be designed around each dataset, structure, and project requirement | Profiling capabilities are available within the platform and can be applied once the data is imported |
| Analysis coverage | Results depend on the rules, queries, and statistical checks the team has chosen to build | Completeness, validity, format, structure, patterns, and distributions are assessed through one profiling process |
| Consistency | Different analysts may use different queries, thresholds, and definitions | The same profiling framework can be applied consistently across datasets and projects |
| Technical dependency | Requires SQL, Python, or another scripting skill to create, run, and troubleshoot | Teams can run and review profiling through a visual interface without writing queries |
| Cleansing and standardisation | Identified issues must be corrected through additional scripts, spreadsheets, or a separate cleansing tool | Clean, correct, and standardise the affected data within the same WinPure platform |
| Matching and deduplication | Duplicate detection requires separate matching logic, development work, or another software product | Apply exact, fuzzy, phonetic, and other matching methods to identify and resolve duplicate records without any additional code or technical skills |
| Complete data quality process | Profiling, cleansing, and deduplication are often handled through separate tools, processes, and licences | Profile, cleanse, standardise, match, and deduplicate data through one platform, with no additional software or module costs |
| Security | Security depends on how scripts, data extracts, spreadsheets, and connected tools are stored and governed across the profiling process | WinPure runs entirely within your environment. Data is processed locally and is never uploaded or sent to third party services |
| Costs | Development time, ongoing script maintenance, infrastructure, and separate cleansing or matching tools can increase the overall cost | One platform supports profiling, cleansing, standardisation, matching, and deduplication without additional software or module costs |
Where data teams put WinPure’s profiling software to work
Pre-migration profiling
Assess the completeness, validity, and consistency of source data before a migration project. Profiling reveals the issues that could be carried into the new system and helps define the cleansing work required before migration.
Contact Data Profiling
Profile names, addresses, email addresses, phone numbers, and postcodes to find missing, invalid, or inconsistently formatted values. Identify the records that need cleansing before contact data is used for communication, matching, or customer service.
Product Data Profiling
Find missing attributes, inconsistent categories, invalid values, and formatting differences across product records. Improve the quality of product data before it is used across ecommerce, inventory, ERP, or reporting systems.
AI and Analytics Preparation
Examine missing values, unusual distributions, inconsistent formats, and unreliable fields before data enters an analytical or AI workflow. Establish whether the dataset is sufficiently complete and consistent for its intended use.
CRM Data Profiling
Measure the condition of customer, contact, and account data across every field. Identify incomplete records, invalid contact details, and structural inconsistencies that affect segmentation, communication, and sales activity.
ERP Data Profiling
Profile customer, supplier, material, and operational data held within ERP systems. Surface incomplete and inconsistent fields that could affect transactions, integration, procurement, and downstream reporting.
Most in-depth data profiling tool!
Independent review platforms and customer feedback from teams using WinPure in production.
Questions Customers Ask When Reviewing WinPure’s Data Profiling Tool
Start a conversation about your data profiling and cleansing project.
Whether you are assessing data before a migration, preparing it for AI and analytics, or investigating the quality of an existing database, our data quality specialists can show you how WinPure identifies, prioritises, and helps resolve the issues affecting your data.