plm, mdm, pdm, cdm, pim etc. what does it all mean? september, 2011 midwest user group meeting

PLM, MDM, PDM, CDM, PIM etc. What Does It All Mean?

September, 2011

Midwest User Group Meeting

• What’s it all mean- Descriptions- Challenges Addressed- Value Proposition

• Best Practices• QAD’s Product Offering• Recommended Actions

Agenda


What’s it all Mean


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• Many companies define master data as: customer, product, location, employee, asset

• However, there is a lot of confusion around what master data is and how it is qualified.

• Essentially there are 5 types of data in corporations:- Unstructured- Transactional- Metadata- Hierarchical- Master

Rudimentary Definitions


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• Because most data is used by multiple applications, an error in data can cause errors in all the applications that use it, for example;- An incorrect address in the customer master- An incorrect price on an item master can be a marketing disaster- An incorrect account # in an Account Master can lead to huge

fines

• Even if the master data has no errors, few organizations have just one set of master data. - Many companies grow through mergers and acquisitions. - This would not be bad if you could just Union the new master data

with your current master data but in most cases;• Customer/part #s are assigned by the software• The chance that a customer/product has the same # in 2 databases is

remote• Most likely equivalent parts are purchased from different vendors with

different vendor numbers.

Why Should My Company Manage Data?


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• Merging master lists together can be very difficult, but creating a clean master list has many benefits.- A consolidated bill saves money & improves satisfaction- Sending the same marketing literature to a customer from

multiple customer lists wastes money & irritates the customer

- Are your problem customers important to another division- Stocking the same item under different part numbers is a

waste of money

• The recent movements toward SOA and SaaS make Master Data Management a critical issue..

Why Should My Company Manage Data?


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• Description- Technology, tools, and processes required

to create and maintain consistent and accurate lists of master data.

- Central repository for master data that can be accessed & utilized across applications.

- Not Just a technology problem..- Both Creating & Maintaining data..

Master Data Management (MDM)


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• Description- Process & tools to track and control data

related to a particular product.• Technical specifications • Manufacturing & development specifications• Materials required to produce the product

- Central knowledge repository for process and product history

Product Data Management (PDM)


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• Challenges Addressed- Manage & track the creation, change & archive of all

product information- Track costs associated with the creation and launch

of a product- Ensures regulatory compliance

• Value Proposition- Accelerate return on investment- Spend less time organizing & tracking design data- Improve productivity through reuse of product design

data- Lower obsolescence cost- Enhance collaboration

Product Data Management (PDM)


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• Description- Encompasses the collection, analysis,

organizing, reporting, and sharing of customer information throughout an organization.

- This is usually accomplished through the use of a Customer Relationship Management (CRM) solution.

Customer Data Management (CDM)


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• Challenges Addressed- Efficiently and productively respond to

the demands of your customers- Build a "360-degree view" of the

customer

• Value Proposition- Improve customer retention &

satisfaction- Improve revenue

• Increased cross-sell and up-sell successes• Improved sales forecasting

Customer Data Management (CDM)


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• Description- Synchronization and cleansing

application- Connects and integrates disparate data

from multiple Systems of Record.- Frequently used to distribute product

data across companies & supply chains where different companies likely have different and often conflicting data definitions.

- PDM verse PIM..

Product Information Management (PIM)


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• Challenges Addressed- Manage detailed product specifications..- Address order entry issues due to

inaccessible and poor product data- Proactively manage product relationships- Successfully track product changes- Speed the introduction of new products



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• Value Proposition- Decrease Costs

• Reduced ordering errors• Reduced cost to introduce new product

• Reduced sales team’s ordering time

• Reduced time to refresh website and catalog- Increased Sales

• Reduced time to market

• Better product information (print, web, etc.)



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• Description- Technology, tools, & processes used to

enhance efficiencies related to a product’s bill-of-materials (BOM)

- Specifically, PLM software enables manufacturers to optimize the management and evolution of a BOM throughout a product’s entire lifecycle – from conception to retirement

Product Lifecycle Management (PLM)


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• Challenges Addressed- Manage obstacles with new product

content and development process- Efficiently and effectively develop and

manage complex information• Product designs• New product data• Service documentation• Regulatory submissions



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• Value Proposition- Reduce Errors and Rework..- Improve Collaboration and Information..- Lower Development Costs- Typical Results for “Best-in-Class”

• 17.5% reduction in product costs• 75% reduction in ECO cycle times• 25-35% reduction in design cycles• 10-15% reduction in time-to-volume cycles• 30-40% reduction in part duplicates• 15-25% reduction in part search times



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Hierarchy


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PLM

NPD

MDM

PDM CDMPIM

Best Practices


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• 270 manufacturers surveyed about PLM Integration plans

• 6 Key performance criteria evaluated

• Shows gap in ability to profit from product innovation

Best Practices


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Aberdeen Group, “Integrating the PLM Ecosystem”

• Best-in-Class companies are going beyond basic one way flow of information.

• Closed-loop processes with bi-direction flow creates significant advantages

Best Practice: Integrating PLM Processes


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Recommended “Best-in-Class” Actions


• More likely to centralize product data

• Go beyond the basics

• Use multiple approaches

• Plan to adopt PIM and MDM

Aberdeen Group, “Integrating the PLM Ecosystem”

QAD Relevant Solutions


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• Fully Integrated module providing centralized control of key product information..

• Allows for product design and engineering changes to be quickly integrated into the system..

QAD Product Data Management (PDM)


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Product Data Management

• Enables the management of complex product structures, formula process definitions, and product costs

QAD Product Data Management (PDM)


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• Increase revenue by improving the customer experience in finding & understanding product information on-line

• Achieve compliance when providing SC & Marketing product info to customers & partners

• Reduce costs by centralizing all product info

• Automate & distribute the process of collecting & changing product information to update subscribing systems

QAD Product Information Mgt (PIM)


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Product Information Management

• Ensures that product information is kept consistent across all information channels..

QAD Product Information Mgt (PIM)


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• Provide visibility into the sales cycle

• Create accurate forecasts & track actual results

• Foster knowledge & understanding of the customer

• Coordinate and control information sharing across extended sales teams

• Increase and optimize customer contact time

QAD Customer Relationship Mgt (CRM)


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Customer RelationshipManagement

• Complete View of the customer

QAD Customer Relationship Mgt (CRM)


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• Best Pricing based on Quantity & Price Lists

• Visualize key data through the built-in dashboard

• Manage product versions & iterations• View products through embedded 2D/3D

viewer• Build & maintain multi-level BOM

configurations• Enable workflow and management by

exception• Collaborate and report, and• Archive product and project information

PTC Product Lifecycle Mgt (PLM)


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Product LifecycleManagement

• Provides a single source of product-related information with the control and configuration capabilities you need to collaborate across your extended enterprise

PTC Product Lifecycle Mgt (PLM)


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• Labor availability and skills information- Tugboat Software Labor Scheduling

• Product quality information- Cebos MQ1 Quality Management System

• DSD/Route mgt & in-store data info- Numeric Computer Systems

• Partner synchronization of product info- Lansa Data Synchronization Interface

Extended Data Management Solutions


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Conclusion


1. Executive sponsor who is active and involved2. Business owns the data governance process & the

project3. Strong project and organizational change management4. Use a holistic approach - people, process, tech & info.5. Ongoing & repeatable process, continuous improvement 6. Ensure Mgt knows the importance of a dedicated team7. Understand your data model & how it integrates with

your internal source systems and external content providers

8. Resist the urge to customize technology9. Stay current with vendor-provided updates and patches10.Test, test, test and then test again

(Remember: This is a Journey - Not a Destination)

Ten Best Practice for Data Management


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1. Start Small, but Start!!2. Build Carefully, and Measure as you go, and3. Schedule an on-site Vision Engagement to let

QAD help you develop a business case for data management improvements.

Suggested Next Steps


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Rapid value assessment

Map QAD potential solutions to business goals / strategies / tactics & processes

Recommendations & ROI analysis of high potential areas

Process QSCANs4

Vision Engageme

nt

Hank CanitzSenior Director – Industry Strategy & [email protected]

Questions?


plm, mdm, pdm, cdm, pim etc. what does it all mean? september, 2011 midwest user group meeting

Documents

current master data

new master data

set of master data

control data

maintaining data

types of data

accurate lists of master

item master