SSA Data Quality checker

SSA Data Quality checker is a customizable solution allowing to automatically get insights into quality of data based on consistency rules covering the following data quality dimensions:

Completeness Correctness Formatting Ranging Non-duplication Language detection Spelling URL Accessibility Image Analysis Document File Analysis

SSA Data Quality checker can be customized either as a standalone tool or a component integrated into existing data processing workflow.

The customization may include not only modifications to the existing consistency rules but also the creation of new ones as well as support for various data formats, volume of data, interfaces, API and transfer protocols.

Key features of Data Quality checker

SSA Group’s Data Checker ensures automated data quality checks, helping businesses maintain accurate, reliable, and error-free data. With SSA Group’s Data Quality checker, businesses can streamline their automated data quality checks, reduce errors, and enhance decision-making with trusted data. Here are the key features:

Duplicate detection

Duplicate detection

Identifies and eliminates duplicate records for cleaner datasets

Data cleansing & standardization

Data cleansing & standardization

Formats and structures data for consistency across platforms

Real-time error identification

Real-time error identification

Instantly flag missing, incorrect, or incomplete data

Comprehensive data reporting

Comprehensive data reporting

Generates detailed reports to track and improve data quality

Seamless integration

Seamless integration

Compatible with various databases, CRMs, and enterprise systems

Use Cases

After data entry

After data entry

After data scraping

After data scraping

After data export

After data export

Before data import

Before data import

Before and after<br/>deduplication

Before and after
deduplication

Before and after<br/>data cleansing

Before and after
data cleansing

Before and after<br/>data merge

Before and after
data merge

Before and after<br/>data enrichment

Before and after
data enrichment

Who can benefit from SSA Group’s Data Quality checker

SSA Group’s Data Checker with automated data quality checks is designed for businesses and professionals who rely on accurate data for decision-making. With SSA Group’s Checker, organizations can optimize data quality checks, ensuring consistent, reliable, and actionable data. Key beneficiaries include:

Enterprises & corporations
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Data analysts & scientists
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Marketing & sales teams
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Finance & accounting departments
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Healthcare & research institutions
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E-commerce & retail businesses
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Consistency rules

Completeness

Completeness

Completeness

  • Total number of records
  • Total number of attributes
  • Percentage of non-empty values
  • Number/percentage of non-empty values for each attribute

Correctness by data type

Correctness by data type

Correctness by data type

  • Numeric
  • Boolean
  • Date
  • String
Correctness by data type

Formatting

Formatting

Formatting

  • Validity of email address
  • Validity of URL
  • Validity of phone number
  • Validity of postal address
  • Validity of date and time
  • Validity of HTML

Numeric ranging

Numeric ranging

Numeric ranging

  • Number/percentage of 0 values
  • Minimal, maximal and average values
  • Number of records with [minimal, minimal + DELTA), (maximal - DELTA, maximal] and (average - DELTA, average + DELTA) values
  • Number of records in the 90% percentile
  • Frequency distribution
Numeric ranging

String ranging

String ranging

String ranging

  • Minimal, maximal and average length
  • Number of records within the 90% percentile length
  • Number/percentage of records that contain characters only, digits, special symbols
  • Number/percentage of records that contain "http” or "https"

Date and Time ranging

Date and Time ranging

Date and Time ranging

  • Minimal, maximal and average values
  • Number of records with [minimal, minimal + DELTA), (maximal - DELTA, maximal] and (average - DELTA, average + DELTA) values
  • Number of records in the 90% percentile
  • Frequency distribution
Date and Time ranging

Boolean ranging

Boolean ranging

Boolean ranging

  • Number/percentage of True/False/Non-boolean values

Non-duplication

Non-duplication

Non-duplication

  • Number/percentage of explicit duplicates
  • Number
Non-duplication

Language detection

Language detection

Language detection

  • List of used languages

Spelling

Spelling

Spelling

  • Number of potential issues (English only)
Spelling

URL Accessibility

URL Accessibility

URL Accessibility

  • Number of inaccessible URLs

Image Analysis

Image Analysis

Image Analysis

  • Number/percentage of images with file size larger than MAX_FILESIZE
  • Number/percentage of images with size in pixels out of predefined values
  • Number/percentage of images with resolution (dpi) lower than predefined value
  • Number/percentage of images with aspect ratio out of predefined value
  • Number/percentage of images with image format other than predefined formats
Image Analysis

Document File Analysis

Document File Analysis

Document File Analysis

  • Number/percentage of documents with file size larger than MAX_FILESIZE
  • Number/percentage of documents with file format other than predefined formats
  • Number of detected HTML documents

Customization

Standalone application
Standalone application
Integrated  component
Integrated component
Consistency rules modification
Consistency rules modification
New consistency  rules
New consistency rules
Data sources
Data sources
Data formats
Data formats
Transfer protocols
Transfer protocols
Large scale
Large scale

FAQ

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