Preparing for PIM
First Steps to Getting Ready for Your Product Information
Management or Product Master Data Management Initiative
An Executive Overview
www.enterworks.com
Preparing for PIM: First Steps to Getting Ready for Your PIM or Product MDM Initiative
Copyright © 2014 Enterworks, Inc. All rights reserved.
1
W hen it comes to managing your company’s product information, you have to possess the
qualities of a maverick while maintaining the leadership
and courage of a pioneer.
Others in your organization might fail to recognize how critical good product
data is to the success of the enterprise. But you know that one of your company’s
most valuable assets is being mishandled.
Perhaps most frustrating of all, you’re aware that there are tools and
techniques that can dramatically improve
the way you manage and leverage that
asset.
And so you set out to change the
mindset of those who have yet to recognize
the potential of product information for
driving your business. This will require
patience, education, and a relentless
passion for developing the processes and acquiring the tools you need to manage
your product information more effectively.
You begin by doing some research. Learning about different approaches to
the problem. Asking friends and colleagues in your industry how they manage
their product data, attributes, catalog copy, photos, data sheets, and other
product-related content. Part of that research has led you to this e-book.
And we’re glad for that. We hope you will be, too.
About this Overview
We’re Enterworks. We offer solutions that address problems with acquiring,
managing, and publishing product content. Solutions like product information
management (PIM), product master data management (MDM), and multi-channel
publishing.
We wrote this e-book for business decision-makers like you who are
responsible for gathering, managing, and publishing information about the
products your company makes or sells.
What we want to do in this paper is to give you
some insights into initial steps you should take
to prepare your department or your company for
acquiring a solution for managing and publishing
your product content.
(While this message isn’t aimed at IT
personnel, it’s okay if you’re in IT. You can still get
value from this overview by getting a sense of what it is your business clients are
looking for.)
It’s critical to have a well-defined roadmap and implementation plan for your
PIM or product MDM initiative, with clear goals and realistic timelines. We hope
this paper will lay the groundwork for this important program.
Preparing for PIM: First Steps to Getting Ready for Your PIM or Product MDM Initiative
Copyright © 2014 Enterworks, Inc. All rights reserved.
2
Quantify or Qualify the Business
Problems
O rganizations often recognize problems with their product information only when they first
appear as problems with key business processes:
â– â– New products take too long to bring to market
â– â– Catalogs take too long to produce and often have errors or obsolete
content
â– â– Finding products on your Web site is difficult as searches return too many
products or the wrong products altogether
â– â– Ensuring compliance with regulations on marketing and advertising is
hampered by manual tasks
After awhile you realize that the common denominator among these process
problems is product information problems:
■■Your product information isn’t complete, current and correct
■■It’s scattered in a variety of systems around your organization
â– â– Extracting it from legacy systems in order to publish or share it is a
laborious task
■■There are few (or no) standards for common data values (i.e., “each” may
be “EACH”, “EA”, or “Each”)
â– â– Raw data from back-end systems ends up on customer-facing Web pages
as inconsistent and random sequences of numbers and letters
â– â– Keeping related data, information and images associated with one
another is difficult
Having identified these problems, it will be easier to quantify or at least qualify
them in order to build the business case for correcting them. As David Loshin,
president of Knowledge Integrity, puts it:
The first step for any kind of master data management program is to clearly
identify those business processes that are impeded by the absence of a unified
view of the product landscape or that could be dramatically improved by
providing that unified view.
But rather than taking on your entire
organization’s data problems at once, it’s
best to focus on just the problems affecting
the processes you’ve identified. Loshin
says this is a matter of “selecting the right
business activities and then getting a better
understanding of the data needs of those
business activities.”
In fact, most leading product MDM
experts agree that you should think in terms
of starting small and then expanding the
scope of your initiative over time. Analyst firm Forrester Research encourages
companies to first identify business processes that suffer from lack of reliable data,
and then focus on solving problems with the data affecting those processes.
Forrester says “The alternative is attempting to boil the ocean and trying to
solve Customer, Product, or Financial data for all processes and decisions across
the whole organization — too big of an effort, destined to fail before it starts.”
Preparing for PIM: First Steps to Getting Ready for Your PIM or Product MDM Initiative
Copyright © 2014 Enterworks, Inc. All rights reserved.
3
Identify Participants, Champions and
Sponsors
A n important point to remember is that yours isn’t an IT-driven or IT-sponsored undertaking.
You’ll want to include IT personnel, but you and your
business colleagues need to be the motive force. “The
line of business needs to sponsor the project because it
can identify the business value the data holds and how a
single view of that data can affect the bottom line,” says
MDM consultant Dan Power.
At this stage, you only need to engage the people who are directly involved
with the processes you’re addressing. Baseline Consulting partner and co-founder
Evan Levy suggests that “You don’t need to talk to everyone in your company to be
successful with MDM. Start with a small group who has a specific set of problems
or challenges or needs.”
It’s likely you already know many of the people involved in managing and
publishing your product information. You either work directly with them or
interact with them at some point in the process. (They may not even work for your
company; they may be your suppliers or dealers.)
These personnel may include:
â– â– Supplier personnel who provide product data
â– â– Product and category managers who edit and enrich product data
â– â– Marketing communications (Web and print designers, copy, production)
â– â– Marketing vendors such as ad agencies, digital agencies, and printers
â– â– Legal personnel who review product information for compliance
â– â– Dealers or retailers who re-use and leverage your product content
â– â– And, of course, IT personnel responsible for product data and applications
Dan Power of Hub Solution Designs cautions “[not to] start before you receive
executive sponsorship and funding for your data governance organization. If you
begin without high-level support, you’ll end up with a failed effort that must be
explained later.”
Among the participants in these business processes
are key executives or personnel who are most affected by
their inefficient performance. Approach those with the
most “pain” and diplomatically recruit them as a sponsor
or champion of your PIM initiative.
Evan Levy and his colleague Jill Dyché posit that
the ideal profile of a project champion is someone with
the authority and gravitas to clear obstacles, push for
organizational change and to get hesitant or resistant
players on board. While conceding that these champions
are hard to find, they maintain that “the organizations that succeed with MDM are
the ones that know those people and leverage them.”
“If you begin
without high-
level support,
you’ll end up
with a failed
effort that must
be explained
later.”
— Dan Power, Hub
Solution Designs
Preparing for PIM: First Steps to Getting Ready for Your PIM or Product MDM Initiative
Copyright © 2014 Enterworks, Inc. All rights reserved.
4
Identify Locations and Sources of
Product Data and Digital Assets
A t this point, you need to start identifying the sources and locations of the product data as
well as the attributes, descriptions, images, and other
content associated with the data.
Begin by creating an inventory of where the product content originates, for
what purpose it was originally created, where it’s managed, which people and
processes use it, and which media and channels consume it. Ideally the metadata
for these assets are stored and managed in a registry or repository, which will help
in identifying some of these aspects of the data.
Product data and related elements and assets may include:
â– â– Identification names and codes: Manufacturer name, product name,
GTIN and UPC codes, part and catalog numbers, etc.
â– â– Parametric product data: basic facts such as dimensions, weights,
operating temperatures, etc. These may come from an ERP or product
lifecycle management (PLM) application.
â– â– Product attributes: dynamic characteristics of a product (choice of
colors, range of sizes) that can’t be properly captured or managed in
an ERP or PLM system, often managed in a series of spreadsheets or
databases.
â– â– Marketing copy: Long form, short form, and bulleted descriptions of
products that are often composed and managed in desktop publishing
systems. Some companies attempt to manage this in spreadsheets along
with product attributes.
â– â– Digital assets: Product images, video and audio clips, logos, indicia,
PDFs of spec sheets, and other “unstructured data” that tends to be stored
in network folders or individual desktops.
Create a spreadsheet or database that records the source, location, associations,
and owners of these elements. Note that you aren’t actually moving or integrating
data or creating a master data repository here. All you’re doing is creating an index
that will help you account
for their whereabouts later
on.
A great variety of
information makes up the
total universe of content
for each of your products.
It may be in different
systems, in different
departments, and in
different formats. Yet all
must be brought under central control to ensure quality, accuracy, completeness,
and timeliness of information used in every enterprise application.
Preparing for PIM: First Steps to Getting Ready for Your PIM or Product MDM Initiative
Copyright © 2014 Enterworks, Inc. All rights reserved.
5
Create a Data Quality Framework
Y ou likely already know the current state of your data quality. You’re the one who’s closest to it,
who has to extract it from a wide variety of sources and
either fix it manually or live with it the way it is.
Having identified the product data and related content required for your
process or application, you also need to determine what constitutes quality
data according to your requirements. Authorities such as the American Health
Information Management Association (AHIMA) and data quality experts Vikram
Ramchandra and Sreedhar Srikant identify such key dimensions in data
quality as:
Completeness — All required records and all required values are available
Conformity — Types, precision, formats, keys, codes, domain, ranges, etc.,
stored in required formats
Accuracy — The data represent the reality
Consistency — The value of the data should be reliable and the same across
applications
Continuity — Current and historical data is non-overlapping and unbroken
Timeliness — Age of data meets user requirements
Uniqueness — Technical uniqueness; every record can be uniquely identified
Redundancy — Data is only stored once and every business object has a
unique identifier
Duplication — Each entity is represented by a single master record
Basic quality metrics such as completeness, accuracy, and consistency may
be sufficient for Web content management or catalog publishing requirements.
However, if product data needs to comply with strict regulations on advertising
and marketing communications, such as in pharma and medical devices,
additional considerations such as continuity,
timeliness, redundancy, and uniqueness are also
important. It’s up to your organization to settle on
the metrics that matter most to the processes you’re
addressing.
In any case, you need clean, standardized,
rationalized, and normalized data as you start your
PIM initiative. In fact, your PIM or product MDM platform should include data
quality tools to support this work in advance of actually integrating data sources
into the PIM repository. Without tools to cleanse, de-dupe, and standardize your
data, you’ll need to do this work as a separate step before implementing the PIM
or product MDM platform.
You’ll also need to ensure the data stays that way once it’s in the repository.
Again, having a suite of data quality tools as part of the PIM platform will help
enforce data quality standards going forward.
You need clean,
standardized,
rationalized, and
normalized data
as you start your
PIM initiative.
Preparing for PIM: First Steps to Getting Ready for Your PIM or Product MDM Initiative
Copyright © 2014 Enterworks, Inc. All rights reserved.
6
Perform a Data Quality Audit
T he exercise of creating your data quality framework
should highlight a number of areas
where your data needs to be fixed.
As Ramchandra and Srikant point
out, these dimensions “generally
harbor a multitude of sins we
most commonly associate with
poor-quality data: data-entry
errors, misapplied business rules,
duplicate records, and missing or
incorrect data values.”
Now, having identified these metrics, you need to pull a sample of your data
for a data quality assessment in order to determine at which points your data fails
to live up to the metrics in your data quality framework. The audit should leverage
your existing business rules for data entry and management so that the results will
be consistent with the desired quality after the PIM is deployed.
This exercise involves...
â– â– Determining the scope of the audit such as data sources, fields and
attributes to be checked, and other parameters;
â– â– Notifying data owners of the audit and providing an overview of the
process and explaining what will be expected of them;
â– â– Establishing the key indicators required for each product, to include
presence of metadata, completeness of attributes, the age of the data,
and others;
â– â– Identifying potential risks to data quality resulting from current data
management systems and practices; and finally,
â– â– Collecting and auditing a representative sample of data for consistency
and completeness of the selected indicators.
According to business analytics consultant Sanjay Kumar, the audit should
reveal the condition of:
â– â– Basic data statistics and frequency analysis (patterns, unique count,
occurrences, etc.)
â– â– Missing and duplicate attributes of the master data (name and address
analysis, etc.)
â– â– Incorrect and out-of-range value analysis
â– â– Data profiling and analysis as per predefined business and technical rules
â– â– Cross comparison of data elements between source systems
â– â– Data irregularity analysis (heterogeneous spelling, mixed case, etc.)
The report produced by this audit, in combination with the data quality
framework, will define terms for all involved in the project and help quantify the
level of data quality work that needs to be done in advance of the actual PIM
deployment.
Preparing for PIM: First Steps to Getting Ready for Your PIM or Product MDM Initiative
Copyright © 2014 Enterworks, Inc. All rights reserved.
7
Establish a Data Governance Council
M uch of the discussion around data governance focuses at the higher levels of an organization.
Indeed, it’s appropriate for an enterprise-wide master
data management program
to aim as high as possible
in the organization to gain
wide executive buy-in and
ultimately to ensure data
quality, completeness and consistency throughout the
enterprise.
However, the creation of formal data governance councils with executive
overseers and teams of data stewards may not be the best model to follow for
your needs. Your organization may not even be ready for that scope of data
governance. It may be best to simply “re-purpose” the existing team of process
participants and sponsors into a data governance committee for data relating
specifically to your PIM initiative.
Note that over time, this group may expand into a more formal data governance
council, especially as your efforts intersect and overlap with those of other
like-minded people in your organization. Dan Power offers good insights into
the dynamics that occur at this point in an article in Information Management
magazine, “How to Start a Data Governance Program.”
There he outlines several of the key aspects involved in a data governance
initiative, including:
â– â– Organizational design, including the organizational model, leadership and
staffing
â– â– Executive sponsorship, corporate culture and organizational change
management
â– â– An internal communications strategy to support the data governance
program.
â– â– A data governance lifecycle, including the design and implementation of
new data governance processes
â– â– Build or incorporate a data quality function into the data governance
program
â– â– Implement the various types of supporting technologies required to
enable a robust data governance program
“This should give you the sense for what is involved in starting a data
governance program in a large corporation,” Power concludes.
Preparing for PIM: First Steps to Getting Ready for Your PIM or Product MDM Initiative
Copyright © 2014 Enterworks, Inc. All rights reserved.
8
Getting Started
W e hope this has given you some ideas about getting started with your PIM or product
MDM initiative.
If you’re considering a solution such as this, we hope you’ll contact us. We’d
enjoy learning more about your company, your product information challenges,
and discussing whether our solutions would help solve your problems.
Some results our customers have achieved include:
â– â– Faster time-to-market by reducing a months-long catalog cycle down to
four weeks with increased accuracy and improved workflow
â– â– Cutting six months and six figures from the production cycle of a 1,400-
page catalog, with two percent increase in sales and four percent increase
in gross margins over the first six months
â– â– Storing, managing, and publishing product information 25 to 30 percent
faster than pulling data from source documents
â– â– Shortening production for a 2,200-page catalog by 70 percent, reducing
resource requirements by half, cutting inaccuracies from 25% to less than
five percent.
â– â– Capturing $17 million in additional revenue with a real-time MDM-based
pricing portal
â– â– Realizing an 8-fold gain in productivity, including the ability to produce
customized catalogs
â– â– Managing 14 subsidiaries from one product MDM system to support mass
customization across multiple brands
Please get in touch and let us know how we might help you. Call us toll-free
at 888-242-8356 or contact us at [email protected]
Preparing for PIM: First Steps to Getting Ready for Your PIM or Product MDM Initiative
Copyright © 2014 Enterworks, Inc. All rights reserved.
9
About Enterworks, Inc.
F ounded in 1996, Enterworks develops software that acquires, manages and transforms a
company’s product information into persuasive content
that drives higher sales and new competitive strengths.
By leveraging a company’s products, associated
images and videos, brands and other marketing assets,
Enterworks Enable delivers powerful selling content
accurately and consistently through e-commerce Web,
mobile and print channels.
Enterworks customers include some of the world’s most innovative
manufacturers, distributors and e-tailers in business products, electronics,
medical supplies, HVAC/R products, hospitality and food service, hard lines,
digital products and other industries. These customers use Enterworks software
to import product information faster, enrich the content with collaborative
workflow, and deliver compelling, customized content to multiple sales channels
simultaneously. Enterworks software and services have become the proven
product information management (PIM) solution for multi-channel marketing and
sales.
Enterworks, Inc.
Toll-free: 888-242-8356
[email protected]
www.enterworks.com
Loudoun Tech Center
46040 Center Oak Plaza,
Suite 115
Sterling, VA 20166
Preparing for PIM – First Steps to Getting Ready for your PIM or MDM Initiative
From accelerating searches on their Web sites to better servicing their dealers, multi-channel distributors are driving higher sales by managing and enriching their product information.
If you’re considering a Product Information Management (PIM) initiative, download our new whitepaper, Preparing for PIM: First Steps to Getting Ready for Your Product Information Management Initiative. You’ll find out who should be part of your PIM team, including program sponsors and champions. You’ll gain helpful insights, lessons learned, and best practices to launch a successful PIM program and lay the groundwork for success.
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