How well do you know your DATA?. Glenn Wiebe May 15, 2012. Is Data Liability?. $$$ for Data Storage $$$ for Data Backups $$$ for Data Archiving $$$ for Data Replication $$$ for Data Synchronization $$$ for Disaster Recovery Planning. Is Data Asset?. Helps in making decisions
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May 15, 2012
An overview of summary values, such as extremes, distribution and frequency analysis.
A configurable analysis of data types.
Mask and Group Analysis
An overview of value formats, groups and dimensions.
An analysis of the results of user-defined business rules.
Foreign Key and Dependency Analyses
An inside look into complex connections in the data.
The option to display individual records that correspond to aggregated results.
Reporting and analysis across multiple data set analyses
Web and/or hardcopy report viewing and distribution
Monitoring and reporting
Parsing: Decomposition of fields
into component parts.
Cleansing: Modification of data values
to meet domain restrictions, integrity constraints
or other business rules that define sufficient
data quality for the organization.
Standardization: Formatting of values into consistent layouts based on industry standards, local standards, user-defined business rules and knowledge bases of values and patterns.
Validation: Formatting of values into consistent layouts based on industry standards, local standards, user-defined business rules and knowledge bases of values and patterns.
Enrichment: Enhancing the value of internally held data by appending related attributes from external sources.
Matching: Identification, linking or merging related entries within or across sets of data.
identification of the set of records connected to one
golden record creation (the best representation of the identified subject)
new data entries – to identify subject (person, address, etc.) to which the new record is connected (matched)
Complex business rules
using sophisticated algorithms and functions including
Data quality scores values
Data stamps of last modification
Source system originating data
etc.Master Data – Match & Merge
KPI / DQI
Hahaharaedtihs! icdnuoltblveieetaht I cluodaulacltyuesdnatnrdwaht I was rdanieg. The phaonemnelpweor of the hmuanmnid, aoccdrnig to a rscheearch at CmabrigdeUinervtisy, it dseno'tmtaetr in wahtoerdr the ltteres in a wrod are, the olnyiproamtnttihng is taht the frsit and lsatltteer be in the rghitpclae. The rset can be a taotlmses and you can sitllraed it whotuit a pboerlm. Tihs is bcuseae the huamnmniddeos not raederveylteter by istlef, but the wrod as a wlohe. Azanmig huh?
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M4X 1V5;ON;Toronto;25 Linden Street
The newest permanent address
The most frequent address
One updated source recordmay cause modification in several records in MDC
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Any Process Latency
Single Solution Platform
Fast and Scalable
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