Turn your data into data you can trust

Knowing your data quality can be the key to a successful data migration, ETL or application integration project. Pervasive Data Profiler™ provides the statistical analysis of your data that allows you to build automated data remediation, validation and repair using the Pervasive Data Integrator™. Profiling can also provide accurate project estimates by letting you know the problems with your data up front, rather than being blindsided by cost and time overruns later in the project.

Pervasive Data MatchMerge™ solution handles fuzzy matching with possible duplicate records that don't match exactly, enabling you to merge most records using simple matching logic, and merge the rest with an intuitive user interface.

Address Verification powered by Melissa Data helps you verify that your customer, vendor, and supplier addresses and phone numbers are valid and correct by checking each address against a huge database of information.

Data Quality Customer Successes 

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Ceridian Ceridian Solves the “Three Cs” – Complexity, Change and Compliance – with Pervasive Data Integrator
Reduces implementation times from a year to a few weeks and takes control of customer experience.

Autometrics LogoAutometrics and Pervasive give companies a single high-impact view across multiple markets, currencies and languages
Dependable automated dashboards give global view of data from 70 sources in 10 countries for smarter business decisions.

Automated Data Quality Assessment

Knowing your data quality can be the key to a successful data migration, ETL or application integration project. Pervasive Data Profiler™ provides the statistical analysis of your data that allows you to build automated data remediation, validation and repair using the Pervasive Data Integrator™.

Profiling can also provide accurate project estimates by letting you know the problems with your data up front, rather than being blindsided by cost and time overruns later in the project.

Data Profiling Diagram

Data Quality Profiling and Data Remediation Demos

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Find and Merge Duplicates

Pervasive Data MatchMerge™ provides a comprehensive solution for inaccurate, inconsistent and duplicate data.  This problem is nearly ubiquitous, and difficult to resolve, especially in very large datasets. This data matching and record merging solution leverages Pervasive Data Integrator™ as the underlying technology platform.  Data Integrator provides an extremely powerful and easy-to-implement data cleansing and standardization platform. 

Pervasive Data MatchMerge adds additional advanced and tunable algorithms for identifying potentially duplicate data, and an easy-to-use user interface to make "deduping" a breeze.  This powerful combination is a highly accurate and extremely fast solution for identifying and resolving duplicate data problems.

  • Fast, precise results for immediate ROI
  • Improved business efficiency
  • Better reporting and business analysis
  • One accurate customer view
  • Successful marketing campaigns
  • Fraud detection and prevention to eliminate high costs

Data Match Merge Diagram

Address and Phone Number Verification and Scrubbing

Address Verification powered by Melissa Data helps you verify that your customer, vendor, and supplier addresses and phone numbers are valid and correct by checking each address against a huge database of information.

Data Quality Firewall

Pervasive creates a barrier that makes certain that data is clean, addresses, phone numbers, and emails are all valid, before it allows the data to enter your database.

Data Quality Firewall

Data Remediation

As part of an integration process flow, Pervasive Data Profiler can split incoming data into passed and failed records based on any single or multiple data quality criteria you establish, whether it's business logic such as "only customers with over $100K/year income," or data logic like "only records with valid transaction dates." Passed records can immediately be loaded into your system.

Records that fail any or all of your criteria can simultaneously be remediated.You establish the data remediation rules necessary - such as "delete duplicates" or "insert a default value in required fields that are blank" - to improve data quality and make that data usable. Any records that can't  automatically be repaired can be sent to a reject file for human intervention.

 Data Quality Profiling and Data Remediation

Data Quality and Data Remediation Interviews, Demos, Presentations, and Webinars

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DemoPervasive Data MatchMerge - Dirty Duplicate Data: How to Stop the Bleeding and Fix it Faster - 5:00

Rick Brusca Metamorphosis 10 InterviewMelissa Data - Rick Brusca - Metamorphosis 10 - Data Quality Solutions for Contact Validation Services - 2:47

Ron Powell Beye NETWORK Metamorphosis 10 InterviewBeye Network - Ron Powell - Metamorphosis 10 - Business Analytics and the Data Explosion - 3:42

Data Quality - Mike HoskinsData Quality - Mike Hoskins - How dirty is your data, and what can you do about it? - 3:00

Data Matching - Mike HoskinsData Matching - Mike Hoskins - What can you do about tough duplicate data? What about fuzzy matching, foreign languages, unicode? - 3:48

Pervasive Data MatchMerge - Mike HoskinsData MatchMerge - Michael Hoskins - Extract, find, cluster, and merge duplicates fast! - 3:43

Web PresentationWeb Presentation 2009 - Pervasive Cut APH Customer Implementation Time in Half and Improved Data Quality with a Data Warehouse Project - 14:45

Frontline Placement - Larry ConeFrontline Placement Technologies, Inc. - Larry Cone - Metamorphosis 2009 Interview by Jeff Kaplan - Challenges of Data Profiling and Management of a SaaS Application - 4:28

CloudTrigger - Lonnie WillsCloudTrigger - Lonnie Wills - Metamorphosis 2009 Interview - Cloud Integration Challenges and Solutions - 3:45

Moody's Wall Street Analytics - Thom KingMoody's Wall Street Analytics - Thom King - Metamorphosis 2009 Interview - Challenges of Data Analysis with Huge Data Volumes - 6:48

Ensco - Scott LeeEnsco, Inc. - Scott Lee - Metamorphosis 2009 Interview by Jeff Kaplan - Data Mining in the Healthcare Industry - 5:36

Countrywide/Bank of America - James BoorCountrywide/Bank of America - James Boor - IntegratioNEXT 8 Interview - Saving Time by Using Pervasive Process Designer as Primary Tool for Development of New Integration Solutions - 5:29

Inovis - Jon GatrellInovis - Jon Gatrell - IntegratioNEXT 8 Interview - High Scale, High Throughput, Cross-Platform, Real-Time Embedded Business to Business Integration - 3:45

Famis Software - Laurie GreenFamis - Laurie Green -Metamorphosis 2008 Interview - Reusable Embedded Integration Saves Resources and Improves Data Quality - 4:12

DemoPervasive Data Profiler™ - Overview of the Pervasive data analysis tool - 10:51

Start Integrating Now!

Thousands of organizations use Pervasive Integration. In just a few minutes, you can be one of them.

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 Data Quality 

Data Quality - How dirty is your data, and what can you do about it?




Quote"Pervasive allows us to take some of the ‘world’s ugliest data’ and turn it into structured data that can be used in a downstream processes. In New Jersey, we’ve taken legacy data, Excel files, and third-party data and made it useful. New Jersey is now on the leading edge in terms of first aid tracking and analysis.”


Dave Herman
President and CEO
PeopleForce

 

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