Data Masking/Protection
Quasi-identifiers, or indirect identifiers, are personal attributes that are true about, but not necessarily unique, to an individual. Examples are one’s age or date of birth, race, salary, educational attainment, occupation, marital status and zip code.
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Data Masking/Protection
Adding ‘random noise’ to data through blurring or perturbation is a data common anonymization requirement for researchers and marketers of protected health information (PHI) seeking to comply with the HIPAA Expert Determination Method security rule.
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Business Intelligence (BI)
This is part 4 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Processing Real World Data [Part 3]
In this final article of the series covering the Production Analytic Platform paradigm, we look at data virtualization—a key requirement in today’s multi-source, data-overloaded world.
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Business Intelligence (BI)
This is part 3 of a 4-part series on Production Analytics. Processing on Par with Information [Part 1] Data Processing Drives Efficiency [Part 2] Unifying the Worlds of Information and Processing [Part 4]
The inclusion of full function data processing in the Production Analytic Platform simplifies the task of gathering data from external sources such as the Internet of Things and clickstream data that requires both intensive exploratory modeling as well as high-speed application and maintenance of those models on real-time and streaming data.
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Business Intelligence (BI)
This is the first of a four-part series of blog articles examining the inherent tradeoffs between data processing and information storage and presentation within traditional ETL paradigms — from the ODS to the data lake.
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Data Migration
Detecting additions and updates to database tables for data replication, ETL, and other incremental data movement goals can be automated in IRI Voracity workflows designed and run in IRI Workbench (WB).
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Data Masking/Protection
There are times when it is necessary to test with or share data that has elements of personally identifiable information (PII). To comply with data privacy laws and prevent a data breach, you may need to provide data that reflects, and sometimes imparts, critical information, but still protects the PII.
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Data Masking/Protection
This article shows how you can use IRI Voracity to rapidly integrate and mask sensitive healthcare data in the HL7 file standard we introduced here.
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Business Intelligence (BI)
In this series of articles, we will describe the semi-structured HL7 file format used in many healthcare industry data storage and processing settings, and show how you can rapidly transform and mask large volumes of HL7 XML messages without writing code.
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IRI Workbench
This article covers the creation and use of remote server connections from IRI Workbench so you can run CoSort (Voracity), FACT, NextForm, FieldShield, or RowGen scripts on other computers.
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