The Importance of Maintaining Data Quality: Establish Good Data Governance Strategies

First, we should understand what “data governance” is. There are 3 critical points for “data governance”:

i. "Maintaining" Data Quality
Maintaining Data Quality, in other words, maintaining the usability of the data sustainably. data is constantly being added, modified, or deleted across multiple departments and external partners. This perpetual flux makes it essential to design a governance framework that controls quality fluctuations. “Maintaining” is not only managing the master data, it also requires defining who handles information, when, and under what rules, and ensuring all the participants in the organization understand and perform the same rules of data usage.

ii. Governance: Clarifying Responsibility, Rules, and Workflows
The term "governance" often carries a rigid connotation of legal compliance or corporate oversight. However, data governance is highly pragmatic: it is the act of clarifying information management rules and sharing them across the board.

The backbone of governance is built on an accumulation of small, specific rules. Vague rules lead to the occurrence of errors and omissions, which greatly affect the working process. Tt is vital to assign clear accountability and define roles for every data point and process. Governance should function as a blueprint that visualizes the connection between people and information, bringing order to the organization.

iii. Transitioning from "Individual Dependency" to "Systemic Reliability"
Many companies suffer from siloed expertise, where business knowledge and data operations are concentrated in specific individuals. While it seems efficient in the short term, it poses a severe operational risk if there are resignations, transfers, or leave, leading to bottlenecks and handover problems.

To break away from this dependency, data management rules must be woven into the fabric of the organization's systems. It involves visualizing the data update flows, documenting manuals, and enforcing consistency through automated workflows. When systems and processes are unified, the organization achieves a state where quality remains consistent regardless of the operator. Moving away from individual dependency is, in essence, the evolution of transforming personal "know-how" into "corporate assets". Implementing data governance is the key driver of this transformation.

In order to have proper data governance, we recommend you to have PIM (Product Information Management System) to have a comprehensive management of all your product data. Here are the expected outcomes of introducing PIM:

i. PIM: Centralizing Information and Streamlining Multi-Channel Distribution
PIM is designed to aggregate all product-related assets including spec, price and product images, and optimize them for various outputs such as EC platforms, catalog or social media platforms. By centralizing registration and updates, companies can drastically suppress data inconsistencies, input errors, and version conflicts. Furthermore, PIM facilitates global expansion and accelerates promotional activities by adapting data to channel-specific formats and languages. PIM serves as a critical infrastructure that ensures data consistency and operational efficiency.

ii. Standardizing Operational Rules through Automated Workflows
By integrating workflows, companies can standardize and automate business processes, from initial data entry, to quality assurance final approval. This structure eliminates redundant rework and dependency on specific individuals. And the history tracking feature enables rapid error detection.

iii. Achieving Information Authenticity and Fast Working Speed
By linking PIM with automated workflows, the status of every asset remains transparent. It creates an environment where internal and external stakeholders have instant access to "trusted information" they can use without hesitation. Beyond avoiding individual dependency, this framework fosters cross-departmental collaboration and boosts the overall velocity of information flow.

The ideal state of information management is not merely having organized data, but having a systemic mechanism that ensures the right information reaches the right person at the right time. To achieve this, the combination of PIM and workflows is currently the most vital strategic investment.

CIERTO, developed by VPJ, is a comprehensive digital content management platform that seamlessly integrates PIM and DAM. CIERTO links product information, creative assets, and operational processes (approval workflows) on a single foundation. Images, videos, and manuals stored on DAM are tethered directly to the product master, allowing users to track exactly which assets are being used across which media. Furthermore, CIERTO offers flexible system design and granular permission management, allowing for a customized setup that aligns with each company’s specific operational rules.

Marketing, Sales, Product Planning, E-commerce, and Design Team, all of them can utilize CIERTO as a shared platform for data and workflow management, everyone works from the same source of truth within CIERTO. This drastically reduces communication overhead and transmission errors. Additionally, secure access can be granted to external partners, balancing centralized management with efficient collaboration. CIERTO provides a pragmatic operational environment that guarantees data accuracy without sacrificing business velocity.

In fact, CIERTO boasts a diverse track record of implementations across manufacturing, retail, distribution, publishing, education, finance, and travel. This extensive experience provides VPJ with deep insights into the unique information management challenges and workflows of various sectors. CIERTO empowers companies to improve data quality and solidify governance through both its robust technical framework and dedicated professional support.

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