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Principles and Rules Listing Page

Cascade your standards and guidelines to business partners and Vendors

In today's world, when organizations are focusing on their core competencies, the supply and sales chains have well-integrated distribution partners and suppliers. These partners are virtually part of your organization. In this spirit, it is important to cascade your data management standards to your business partners. This sharing has the advantage of achieving a better integration and engagement.
 
This page of 'Principles and Rules' is linked to:  Data Quality,

You can refer Data Management standards for Data entities tool as part of our Data Quality Management+ Toolkit package. In brief, an organization needs to establish universal set of standards (domain value, data models and business rules) for data entities (like customers, vendor, invoices...) ensure that there is consistency in the way we process, store and interpret our data entities.

You business partners should know all the relevant details (unless guided by confidentiality) related to your data models, domain values and business rules). This includes your sales and distribution partners, your suppliers and your IT Vendors. The benefits are as follows:

  • A consistency of thought: If your sales partner knows all fields which you can capture for your sales lead, he or she will be well guided on the information he or she should collect as he generated leads. Another example is that your sales partner could adopt the similar customer_ID (say) format.
  • An insight into the thinking: As your partners go through your data-models and business rules, they will be getting a good insight on how you want to manage your business and systems. For example, your supplier could get an understanding of customer servicing strategy once; he sees the customer service parameters, which you plan to store in your customer service data model.
  • Consistency in data gathering: If you vendor knows the data formats which you are trying to adopt as a universal standards, he can make appropriate changes to his processes.

Some-one may ask a question, that as an organization, people do communicate the relevant details to their partners as per the business need. Therefore, sharing your data management standards in a smart way should not add much value. Our answer would be to go ahead and try it, and you will find a new level of connect with your partner. Few things can be validated by experience only. We have mentioned in our help guide for data management standards for data entities tool, that these standards should be in business language. The purpose is to ensure that business and your partners can understand and own them.


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Relevant Links to this page
Principles & Rules → Data Quality is a subject of business ownership and not of IT-ownership → Principles & Rules → Don't create a hype on Data Quality Program. → Principles & Rules → Sponsor for a Data Quality Program → Practice Techniques → Business Case for Data Quality → Principles & Rules → Data Quality is not Perfect Quality → Principles & Rules → Engage the Vendors in Data Quality Program → Practice Techniques → How to get more data along with Sales leads → Practice Techniques → Ask for dates instead of number of years → Principles & Rules → How to Maximize the effectiveness of Data Stewardship → Practice Techniques → Field Tips Series#1- Data Mapping and Assessment → Principles & Rules → Data Management Standards for Data Entities will be a mix of collaboration and top-down → Principles & Rules → Data Management standards for data entities are not only for IT systems → Principles & Rules → Data quality assurance and control guidelines are no-brainer. Publish one immediately and evolve thereafter. → 
 
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Relevant links to this page
Data Quality is a subject of business ownership and not of IT-ownership
Don't create a hype on Data Quality Program.
Sponsor for a Data Quality Program
Business Case for Data Quality
Data Quality is not Perfect Quality
Engage the Vendors in Data Quality Program
How to get more data along with Sales leads
Ask for dates instead of number of years
How to Maximize the effectiveness of Data Stewardship
Field Tips Series#1- Data Mapping and Assessment
Data Management Standards for Data Entities will be a mix of collaboration and top-down
Data Management standards for data entities are not only for IT systems
Data quality assurance and control guidelines are no-brainer. Publish one immediately and evolve thereafter.
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