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Why “Outputs Dictate Inputs” in Product Information Management

Why outputs dictate inputs in PIM

In Product Information Management (PIM), the principle “outputs dictate inputs” translates into a proactive approach to managing data. It emphasizes how crucial it is to define the desired outcomes to steer the design of inputs. 

This article will explore what this “outputs dictate inputs” principle means and why it is vital for an effective PIM. 

Outputs dictate inputs: Table of Contents

Understanding the Concept

When you apply the “outputs dictate inputs” process, the requirements for your outputs should always shape the structure and how you manage the data you enter into your PIM system.

Let’s say you are working on a new online product catalog, and the defined stakeholders’ requirements for this project include high-resolution images, detailed product descriptions, and dynamic pricing.

In this example, these requirements are the essential parameters that dictate how you collect, validate, and input data into your PIM. Applying the concept of the “outputs dictate inputs” empowers you to ensure that the input data aligns with the needs of all downstream systems and stakeholders.

With “outputs dictate inputs,” you begin with the end goal (output) and go backward. This approach guarantees that output expectations are met and minimizes errors and rework efforts.

Why “Outputs Dictate Inputs” in PIM Matters

  1. Boosts Customer Satisfaction and Conversions. When “outputs dictate inputs”, you prioritize the end-user experience. Ensure that outputs meet your customer needs. It will bolster trust in your brand, increase customer satisfaction, and drive engagement and conversions. 
  2. Enhances Data Management’s Efficiency. “Outputs dictate inputs” reduces the need for rework by aligning inputs with output requirements. It decreases efforts by enabling your teams to focus on achieving the desired results rather than wasting time fixing blunders and filling gaps. 
  3. Guarantees Consistency Across Channels. Defining outputs first lets you ensure that all data inputs align with each unique requirement of various consuming channels. This prevents discrepancies and facilitates a seamless omni-channel experience. 
  4. Helps With Regulatory Compliance in PIM. In the era of big data, organizations must meet a growing number of industry and country-specific data compliance regulations and standards (e.g., GDPR, HIPAA). Include compliance requirements in the output design. It will help you ensure that inputs meet all these standards and regulations and reduce the risk of fines. 

Challenges to Implementing “Outputs Dictate Inputs”

  1. Complex Output Requirements. Managing diverse output needs across different channels can be overwhelming. Without well-defined and standardized documentation and prioritization of requirements, you will end up with confusing and inaccurate outputs that, consequently, will lead to wrong inputs. 
  2. Legacy Systems and Incompatible Processes. Your organization’s existing workflows and systems may not be designed to work with this principle. Transitioning to an output-driven approach may require significant process changes, rigorous testing, and systems updates. 
  3. Stakeholders Alignment. Achieving consensus on output requirements across departments can be challenging. Each stakeholder might have expectations, goals, and priorities that sometimes clash or compete with others. Engage and involve all interested parties in your planning activities. It will facilitate their buy-in, build trust, and encourage their commitment. 

Implementing “Outputs Dictate Inputs” in PIM: Best Practices

  1. Define Output Requirements Early 

Once you have defined how requirements will be collected and documented, it is time to talk to the stakeholders. Identify and document the outputs thoroughly so that each feedback gathered is detailed enough.  

For instance, a well-defined requirement should include specific information describing in which format the output should be delivered, its structure, and how it complies with regulations. Furthermore, each requirement must be measurable, achievable, and realistic. 

If we go back to the online catalog’s example, format, structure, and compliance are all crucial details that should be included in the output description. This information contributes to the standardization and consistency of outputs such as the catalog’s high-resolution images, product descriptions, and pricing. 

  1. Adopt Flexible PIM Solutions

When Kmart Australia decided to expand its online market, it first implemented a PIM system for general merchandise. However, they quickly realized that the platform didn’t offer the scalability and functionality they needed to house their entire product catalog (45,000 SKUs) online. 

To solve this problem, the company switched to Informatica MDM Product 360 and Informatica Data Quality. Once done, Kmart finally reached its goal of maintaining and managing a constantly evolving online product database in a centralized manner and without effort. 

Choosing a PIM solution that does not scale or selecting the wrong vendor can result in costly replacements, implementation issues, and budget overruns. Let our experts help you adopt and implement the PIM system that fits your requirements. 

  1. Implement Rigorous Data Governance

Stay on top of your data, and ensure it is accurate, consistent, and always up to date. Establish rigorous processes to ensure all inputs consistently meet the defined output requirements. Maintain alignment by running regular audits. Verify your inputs against your outputs frequently and automatically. 

Invest in data quality tools, quality assurance (QA) data validation checks, and advanced analytic tools. It will help you identify, predict, and prevent input data quality issues, reducing manual efforts and errors. 

  1. Enable Collaboration Across Teams

Poor communication can lead to misunderstandings and flaws in inputs and outputs. Break down silos by fostering communication between the teams managing inputs and those responsible for outputs. 

Set up regular cross-department meetings. Establish transparent communication channels, guidelines, and clear workflows to create a collaborative environment where everybody works together toward common goals. Encourage open dialogue so that everyone in the teams can share insights, concerns, and constructive feedback. 

Unlock Efficiency and Customer Centricity: Elevate your PIM With “Outputs Dictate Inputs” 

In PIM, “outputs dictate inputs” ensures that your data processes are goal-oriented and efficient. By focusing on the desired outcomes, you align your inputs to meet specific needs, resulting in accurate, consistent, and powerful product information. 

This approach improves operational efficiency and enhances customer trust and satisfaction, giving your brand a competitive edge in today’s complex marketplace. 

So, whether you are working on a new product listing, online catalog, or a data feed, start from the outputs and work your way back. 

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