A Practical Approach to data cleaning David Stroud CEO 12th May 2010

37
A Practical Approach to data cleaning David Stroud CEO 12th May 2010

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A Practical Approach to data cleaning David Stroud CEO 12th May 2010. Agenda. sparesFinder introduction Key Issues Master data harmonisation Cleansing process Item Management & Governance Governance Issues and Process Key components of data quality / governance / MDM. Company profile. - PowerPoint PPT Presentation

Transcript of A Practical Approach to data cleaning David Stroud CEO 12th May 2010

Page 1: A Practical Approach to data cleaning David Stroud CEO 12th May 2010

A Practical Approach to data cleaning

David StroudCEO

12th May 2010

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Agenda• sparesFinder introduction• Key Issues• Master data harmonisation

– Cleansing process

• Item Management & Governance– Governance Issues and Process

• Key components of data quality / governance / MDM

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Company profile

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“Beyond data cleaning”

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Key issues for our customers

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Unconsolidated data or systems

Data Complexity

Direct Cost of Data Group

Data governance

Benefits and Availability

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Content quality is fundamental

Highly functionalsystems

Basicsystems

Poor content quality

Accurate, available master data

1.Clean

2. Govern

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Before you start..

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Noun-Modifier

&Attribute Review

Text Scanning and Keyword Identification

Gap Assessment& Prioritization

DictionaryAcceptance

DataStandards

Cycle

OEM / Vendor

Relationship Settings

Classification Mapping as

required

Batches of Noun/ Modifiers

Legacy Data

Clean data to client systems

Data life cycle process

DataImprovement

Cycle

Quality Control

& Approval

Classify, Normalize & Enrich

GatekeeperConfiguration & Integration

Cleansed DataAcceptance

Query Resolution

OngoingData Quality Maintenance

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Control vs. Efficiency

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Control decisions

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Cost vs. speed, quality and scope

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Scoping decisions

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Do you need a data quality tool?

Research from 2007 by Ventana (http://www.ventanaresearch.com/

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Software tool demands

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Software and content

Base ModuleUser Admin, Dictionary,

Catalogue, Interfaces

InsightReport

MasterpieceClean

VPISearch

GatekeeperGovern

Content•sparesFinder Dictionary or•Customer’s own taxonomy•OEM Catalogues

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Content

Supporting services

InsightReport

MasterpieceClean

VPISearch

GatekeeperGovern

Base ModuleUser Admin, Dictionary,

Catalogue, InterfacesProfessional Services•Dictionary Creation •Systems integration•Training (for all modules)

Professional Services •Data cleansing•Project Management•Data Extract and Load

Professional Services •Change management•Virtual store creation with key vendors•Transaction support

Professional Services•Data Governance process design•Ongoing specialist product advice and support

Professional ServicesConsultancy to drive inventory reduction, supplier rationalisation and strategic sourcing programmes .

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Foundations

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Detailed taxonomy

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Classification mapping

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Multi Language

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Detail, help and classification

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Leveraging catalogues

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Manufacturer Name / Part Number

Part Manufacturer (Brand )

Part Number

Alternate BrandPart Number

Alternate(e.g. wrong colour)

Parent Company

Other BrandsPart Number

Competitor Brand Part Number

Functional Equivalent

OEMPart Number

DistributorPart Number

OEMPart Number

DistributorPart Number

Suppliers

Old part number and other aliases,

drawing number, supersessions

Primary Supplier

AlternateSupplier

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Equipment / Catalogue Specific

Equipments / BOMs

Catalogue Master

System Specific

SAPClient 1: Material No XXClient 1: Material No XYClient 2: Material No ZZ

Part Number

MaximoDB 1: Item No AAC

Higher Assembly

3 of

Component

8 of

Geography Specific

Equipment Locations

TAG 1-1-3TAG 2-6-9

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Single source of data

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Masterpiece Core

Legacy Data

Clean Data

Creating data quality

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Data Cleansing

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Masterpiece Core

Clean DataNew Item

Spares MDM

ERP Data Models

Multi ERP Syndication

Data Governance Organisation

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ERP Attribute Management

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Corporate ERP Structures

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Adding a new item

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Checking functional matches

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Prioritising and tracking requests

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Organization, policies and procedures, authorizations and controls in place to manage data on a long-term basis

Metrics to measure and monitor the efficiency and effectiveness of key business processes

Processes to maintain item master and keep classification codes and standards evergreen

Operating model enhancements to drive better data quality while retaining business intimacy

• Policy changes around item master creation, updates, deletions and approvals

• Service levels and turnaround time agreement

• Defined communication channels for requests

• Request and Approval processes – item add, change, delete

• Notification to other data maintenance owners (BOM, Sales Pricing, etc.) for further item use or processing.

• Item availability notification process

• Centralized vs. Centrally Managed vs. De-centralized vs. Outsourced

• Reporting relationships • Roles and Responsibilities

• Item creation/update cycle time• Percentage of shipments on hold• % of item master maintenance

errors

More than software

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“Without sparesFinder’s tools we could never have achieved the savings that we have on a global scale. They combine ease of use with a high degree of sophistication, and reflect the deep level of MRO knowledge within the company. Our data cleansing project has resulted in far more efficient buying processes, higher levels of internal stock transfer, and significantly reduced duplication”

John Vezey, BAT Global Spares Team.

Thank You