DAMA Chicago Tracking the Success of Data Quality

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 DAMA Chicago Tracking the Success of Data Quality 2012 -12 -12 Peter R.

DAMA Chicago Tracking the Success of Data Quality 2012 -12 -12 Peter R. Benson Project leader for ISO 22745 and ISO 8000 Copyright © 2012 ECCMA All rights reserved Slide 1

Information is Power Data is Truth

Information is Power Data is Truth

Introductions Quality drivers Data quality successes Next steps

Introductions Quality drivers Data quality successes Next steps

What does “Quality” Mean? When you order seafood from Quality Fresh Seafood, you can

What does “Quality” Mean? When you order seafood from Quality Fresh Seafood, you can be confident that you are receiving the very best quality of seafood and delivery. Copyright © 2012 by ECCMA Slide 5

ISO 9000 Definition of “Quality” 3. 1. 1 quality degree to which a set

ISO 9000 Definition of “Quality” 3. 1. 1 quality degree to which a set of inherent characteristics fulfils requirements ISO 9000: 2005(E) Slide 6

ISO 9001 Quality Management System Requirements ISO 9001: 2000(E) Slide 7

ISO 9001 Quality Management System Requirements ISO 9001: 2000(E) Slide 7

Requirements Define Quality 3. 1. 2 requirement need or expectation that is stated, generally

Requirements Define Quality 3. 1. 2 requirement need or expectation that is stated, generally implied or obligatory ISO 9000: 2005(E) Quality is about meeting requirements Quality data is data that meets stated requirements nothing more and nothing less! (data that exceeds stated requirements does not increase the quality of the data) Copyright © 2012 by ECCMA Slide 8

These are data requirements Slide 9

These are data requirements Slide 9

The quality of the data depends on how you ask for it Slide 10

The quality of the data depends on how you ask for it Slide 10

The Need for Semantic Encoding In South Africa a traffic light is called a

The Need for Semantic Encoding In South Africa a traffic light is called a robot! Robot Copyright © 2011 by ECCMA Slide 11

ECCMA Open Technical Dictionary (e. OTD) Just as with music notation and engineering symbols,

ECCMA Open Technical Dictionary (e. OTD) Just as with music notation and engineering symbols, the e. OTD concept identifiers are simply used to communicate more accurately in a language independent environment. Music Engineering e. OTD A unique public domain identifier is assigned to a concept. 0161 -1#01 -089388#1 table 0161 -1#01 -086445#1 chair 0161 -1#02 -018635#1 weight 0161 -1#02 -005808#1 length 0161 -1#07 -277660#1 Monday 0161 -1#05 -001122#1 kilogram Slide 12

Publicly Visible Terminology in a Standard Model The e. OTD (ECCMA Open Technical Dictionary)

Publicly Visible Terminology in a Standard Model The e. OTD (ECCMA Open Technical Dictionary) is an ISO 22745 -20 compliant central registry of terminology. Each concept and terminological component in the e. OTD is assigned a unique and permanent public domain identifier. Users create corporate preferred subsets of the e. OTD and use the e. OTD concept identifiers to manage concept equivalence mapping with the concepts used by their trading partners. ISO 22745 - ECCMA Open Technical Dictionary (e. OTD) Terms Abbreviations Terminology Public Domain Concept Identifier 0161 -1#xx-xxxxxx#1 Definitions Images

Publicly Visible Terminology in a Standard Model Terminology Industry terminology Terminology Government terminology Terminology

Publicly Visible Terminology in a Standard Model Terminology Industry terminology Terminology Government terminology Terminology SDO terminology • Public domain concept identifiers • Free identifier resolution to underlying Terminology SDO terminology • • • terminology (web services) Hyperlink to source standards Multilingual Multiple terms, definitions and images linked to single concept identifier Slide 14

Building the Corporate Dictionary and Data Requirements Copyright © 2012 by ECCMA Slide 15

Building the Corporate Dictionary and Data Requirements Copyright © 2012 by ECCMA Slide 15

ISO 8000 Family of Standards ISO 8000 General Principles Part 1 Introduction Part 2

ISO 8000 Family of Standards ISO 8000 General Principles Part 1 Introduction Part 2 Terminology Part 100 introduction Part 120 Provenance Part 110 Syntax Copyright © 2012 by ECCMA Transaction data Master Data Semantic encoding Part 130 Accuracy Part 140 Completeness Meets requirements Slide 16

Intrinsic and Extrinsic Data Quality “Mass is an intrinsic property of any physical object,

Intrinsic and Extrinsic Data Quality “Mass is an intrinsic property of any physical object, weight is an extrinsic property that varies depending on the strength of the gravitational field in which the respective object is placed. ” Intrinsic (internal) data quality characteristics Characteristic that you can evaluate by looking at the data itself, (expectation that is generally implied) ü Is the data complete: what is the % of empty cells? ü Is the data consistent: are the values consistent in their formatting? Extrinsic (external) data quality characteristic ISO 8000 Quality Data: ü Is the syntax referenced – is the data compliant with the syntax? ü Is the semantic encoding referenced – is the data encoded? ü Is the data requirement referenced – does the data meet the requirement? Copyright © 2012 by ECCMA Slide 17

ISO 8000 Quality Data that meets Requirements Data that is Portable (syntax and semantic

ISO 8000 Quality Data that meets Requirements Data that is Portable (syntax and semantic encoding) Copyright © 2012 by ECCMA Slide 18

Portable Data If we believe that: • the software we will be using tomorrow

Portable Data If we believe that: • the software we will be using tomorrow will be different from what we are using today, and • we will need access to our data …. forever, and • data that cannot be separated from licensed software is also licensed data then We should ensure that our corporate data is portable, i. e. , independent of any licensed software application. ISO 8000 quality data is portable data! Copyright © 2012 by ECCMA Slide 19

Vision of the Future – The Service Provider’s View p Ap n o ati

Vision of the Future – The Service Provider’s View p Ap n o ati lic Application Customer data Customer Application Customer data Storing customer data within the application creates “customer lock-in” Copyright © 2012 by ECCMA Slide 20

Vision of the Future – The Customer’s View Data ISO 8000 Data Application Customer

Vision of the Future – The Customer’s View Data ISO 8000 Data Application Customer Application Data standards are the antidote to application “lock-in. ” Copyright © 2012 by ECCMA Slide 21

Operating Systems as a Solution to Hardware “Lock-in” User Application Operating system Hardware Copyright

Operating Systems as a Solution to Hardware “Lock-in” User Application Operating system Hardware Copyright © 2012 by ECCMA An operating system is the infrastructure software component of a computer system responsible for sharing the limited resources of the computer. The operating system acts as a host for applications that are run on the machine. 1969 - UNIX (we also landed on the moon!) 1974 - CP/M 1981 - MSDOS 1985 - Windows 1. 0 1995 - BOB 2000 - ME 2001 - XP 2007 - VISTA 2009 - Windows 7 2009 - Android Slide 22

ISO Data Standards are the Antidote to Application “Lock-in” Data quality analysis app User

ISO Data Standards are the Antidote to Application “Lock-in” Data quality analysis app User Application Operating system Hardware Copyright © 2012 by ECCMA ISO 22745 ISO 8000 Portable data Data de-dup app Data validation app Quality data is portable data; it is independent of the software application and accessible by any application. Slide 23

Portable Data data that cannot be separated from licensed software is also licensed data

Portable Data data that cannot be separated from licensed software is also licensed data Images Metadata Source: Royalty Free Photos Proprietary metadata and proprietary identifiers are copyright We can expect to see copyright rigorously enforced in the years ahead Slide 24

ISO 8000 Quality Data is Portable Data that Meets Requirements

ISO 8000 Quality Data is Portable Data that Meets Requirements

Motivation for ISO 22745 and ISO 8000 quality data saves money “From a logistics

Motivation for ISO 22745 and ISO 8000 quality data saves money “From a logistics information perspective… an F-15 is just 171, 000 parts flying in very close formation. ” Cataloging and Standardization Act, Public Law 82 -436 as codified by United States Code, Title 10, Chapter 145 – Cataloging and Standardization Sec. 2451. (a) The Secretary of Defense shall develop a single catalog system and related program of standardizing supplies for the Department of Defense. (b) In cataloging, the Secretary shall name, describe, classify, and number each item recurrently used, bought, stocked, or distributed by the Department of Defense, so that only one distinctive combination of letters or numerals, or both, identifies the same item throughout the Department of Defense. Only one identification may be used for each item for all supply functions from purchase to final disposal in the field or other area. Faster, Better, Lower Cost Master Data Slide 26

ISO 8000 referenced in a NATO contract ASD Specification 2000 M (S 2000 M)

ISO 8000 referenced in a NATO contract ASD Specification 2000 M (S 2000 M) is a standard that specifies the information exchange requirements for most materiel management functions commonly performed in supporting international projects. S 2000 M is based on a business model agreed between military customers and industry suppliers. As of Mar 2011 ASD 2000 M Chapter 1 B section 3. 1 includes the following statement, : The Contractor shall supply identification and characteristic data in accordance with ISO 8000 -110: 2009 on any of the selected items covered in his contract. Following an initial codification request as specified in section 3. 2, the NATO Codification Bureau (NCB) shall present a list of the required properties in accordance with the US Federal Item Identification Guides. quality data save money Copyright © 2012 by ECCMA Slide 27

Motivation for ISO 22745 and ISO 8000 Controlling costs requires better asset, product ,

Motivation for ISO 22745 and ISO 8000 Controlling costs requires better asset, product , component and process visibility. This is achieved through faster, better and lower cost access to authoritative characteristic data. quality data save money Slide 28

ISO 8000 Referenced in a Commercial Contract The supplied data shall be ISO 8000

ISO 8000 Referenced in a Commercial Contract The supplied data shall be ISO 8000 -110: 2009 compliant. • The data shall comply with registered ISO 22745 -30 compliant data requirements • The data shall be encoded using concept identifiers from an ISO 22745 compliant open technical dictionary that supports free resolution to concept definitions. • The data shall be provided in ISO 22745 -40 compliant Extensible Markup Language (xml). • Creating ISO 8000 -110: 2009 compliant data does not require the payment of any license fees or the use of specialized software, it is within the technical ability of all suppliers regardless of their size. quality data save money Copyright © 2012 by ECCMA Slide 29

Current Data Quality Drivers 1. Big Data 2. Compliance 3. Data Governance Companies no

Current Data Quality Drivers 1. Big Data 2. Compliance 3. Data Governance Companies no longer need convincing that measuring and managing the quality of their data is a good idea, they want to know how to do it. ISO 8000 is the international standard for data quality

Big Data? 1 to 1 Media Slide 31

Big Data? 1 to 1 Media Slide 31

Compliance

Compliance

Data Governance People Data Governance Policy use y c i l Po Technology to

Data Governance People Data Governance Policy use y c i l Po Technology to access Poli cy Data Copyright © 2012 by ECCMA

Emerging Data Quality Drivers 1. Data Portability 2. Provenance 3. Authoritative data Companies are

Emerging Data Quality Drivers 1. Data Portability 2. Provenance 3. Authoritative data Companies are discovering how to manage a data supply chain to acquire and distribute authoritative high quality data ISO 22745 is the international standard for the exchange of quality data

ISO 8000 -120 Data Warehouse Copyright © 2012 by ECCMA Slide 35

ISO 8000 -120 Data Warehouse Copyright © 2012 by ECCMA Slide 35

Managing a dictionary Copyright © 2012 by ECCMA Slide 36

Managing a dictionary Copyright © 2012 by ECCMA Slide 36

ISO 8000 -120 Data Warehouse used to Manage Content Multilingual Product Descriptions Copyright ©

ISO 8000 -120 Data Warehouse used to Manage Content Multilingual Product Descriptions Copyright © 2012 by ECCMA Slide 37

Original SAP Material Name and Description: External reference data Characteristic data Classifications C 1,

Original SAP Material Name and Description: External reference data Characteristic data Classifications C 1, C 2, C 3 e. OTD Class name e. OTD class identifier e. DRR Data requirement name e. DRR data requirement identifier ISO 22745 -40 Master Data e. OTD Property Value ISO 22745 -45 Description Rules Short Long P 1 e. OTD Property Name P 2 e. OTD Property Name Max=50 Class Name; P 1 value, P 2 value P 3 e. OTD Property Name SAP Material Name P. . e. OTD Property Name SAP Purchase Order Description e. OTD property identifier Max=256 Class name; External reference, P 1 name=value, P 3 name=value, P 2 value

Good quality data sells! One king Hyatt Grand Bed and one queen sofa bed.

Good quality data sells! One king Hyatt Grand Bed and one queen sofa bed. Contemporary decor. Desk. Complimentary wireless and wired high-speed Internet access. 42 -inch, flat-panel, highdefinition TV with satellite channels and connectivity for laptop, MP 3 player, or DVD player. Two telephones (one cordless) with voice mail. AM/FM radio/alarm clock. Complimentary newspaper. Video check-out. Refrigerator and coffeemaker. Wet bar. Bathroom with granite countertops, hair dryer, and Portico bath amenities. Iron/ironing board. Please create name and description for 300, 000 products in 29 languages

Developing the data requirement (ISO 22745 -30) Data requirements support a business function, granting

Developing the data requirement (ISO 22745 -30) Data requirements support a business function, granting access to a computer, a website or a software program, simply asking for the data needed to deliver the right product or service or to comply with a regulation, these are all data requirements. Be careful what you ask for – data quality starts with the quality of the request for data Data requirement e. OTD-i-xml ISO 22745 -30

Developing request for data (ISO 22745 -35) Clear and unambiguous requests for: 1. Reference

Developing request for data (ISO 22745 -35) Clear and unambiguous requests for: 1. Reference data (identifiers) 2. Characteristic data (descriptions) 3. The validation of reference and characteristic data, ISO 22745 -35 is a standard format for the generation and distribution of requests for data in a simple XML format that can be automated by the sender and recipient to create an integrated data exchange system. Request for data e. OTD-q-xml ISO 22745 -35

Developing a reply to a request for data (ISO 22745 -40) ISO 22745 -40

Developing a reply to a request for data (ISO 22745 -40) ISO 22745 -40 is a standard format for the exchange of reference and characteristic data in a simple XML format that can be automated by the sender and recipient to create an integrated data exchange system. Data requirement e. OTD-i-xml ISO 22745 -30 Data exchange e. OTD-r-xml ISO 22745 -40 Request for data e. OTD-q-xml ISO 22745 -35

Automating the data supply chain using ISO 22745 A data provider may not have

Automating the data supply chain using ISO 22745 A data provider may not have all the data requested so they in turn send a request through their data supply chain using the same ISO 22745 standard exchanges Request for data e. OTD-q-xml ISO 22745 -35 Sub Request for data e. OTD-q-xml ISO 22745 -35 Data provider Data requester Data requirement e. OTD-i-xml ISO 22745 -30 Data exchange e. OTD-r-xml ISO 22745 -40

ISO 8000 would not solve the highlighted problem!

ISO 8000 would not solve the highlighted problem!

Conducting and ISO 8000 data governance and data quality evaluation Is there a data

Conducting and ISO 8000 data governance and data quality evaluation Is there a data governance policy registry? Is there a corporate dictionary? Is the corporate dictionary mapped to an open technical dictionary? Is there a data requirements registry? Is stored data encoded using the dictionary? Does stored or exchanged data contain provenance at the data element level? Does the provenance data identify the authoritative source of the data? Copyright © 2012 by ECCMA Slide 45

Developing an international open standard for creating and resolving globally unambiguous Property Natural Identifiers

Developing an international open standard for creating and resolving globally unambiguous Property Natural Identifiers (PNI) ECCMA 2010 -10 -21 revised 2012 -09 -26

Property Natural Identifier - Lot (PNIL) • Lot boundary represented as one or more

Property Natural Identifier - Lot (PNIL) • Lot boundary represented as one or more polygons in an Earth coordinate system expressed in KML and compressed to form a string. 134 x 3 QC 8 P 14 Zv 3 GT…. . * *the identifier is expected to be very large ECCMA 2010 -10 -21 47

Property Natural Identifier – Unit (PNIU) • A combination of a PNIL and a

Property Natural Identifier – Unit (PNIU) • A combination of a PNIL and a three dimensional elevation of the point of demarcation in an Earth coordinate system expressed in KML and compressed to form a string. + 134 x 3 QC 8 P 14 Zv 3 GT…. . /0 GR 98 WR 593 C 8 SQ 4…. . * *the identifier is expected to be very large ECCMA 2010 -10 -21 48

Requirements • Natural identifiers - not assigned by a registry – The identifiers should

Requirements • Natural identifiers - not assigned by a registry – The identifiers should be unique to each lot and each unit space – The identifier should be spatially enabled – The algorithm for the generation of the identifiers should be in the public domain – The algorithm for the conversion of the identifiers to the location and representation of the lot and unit space should be in the public domain ECCMA 2010 -10 -21 49

Questions? Peter R. Benson Executive Director Peter. Benson@eccma. org Information is Power Data is

Questions? Peter R. Benson Executive Director Peter. Benson@eccma. org Information is Power Data is Truth