Data Governance: The Foundation of Digitization

A Brave New World

With so many mining companies pursuing digital transformation to obtain productivity gains and mine optimization, I attended the PDAC Mining Conference to learn more about digitization in mining.  Digitization impacts diverse industries.  Several of my clients have been pursuing digitization; Healthcare (patient records), Manufacturing (“real time” work order status) and Cannabis (point of sale).

Different industries might have different objectives; however, they all require quality data that is both accurate and timely.  This digital revolution reminds me of the ERP evolution in the late 1990’s when all industries were racing to beat the year 2000 clock.  At that time during an organization’s implementation stage, a significant amount of time was concentrated on data cleansing without any focus on an ongoing data governance framework program to ensure data integrity.  This resulted in a one-time effort for many organizations.  Now is the time for your organization to evaluate your current state of your data governance program.

This briefing describes the characteristics of a “Managed” level of maturity for data governance.

A Data Governance Framework

Digitization requires a data governance framework to be in a “Managed” maturity level in order to be successful.

The 5 Levels of Maturity for Data Governance

Level 1 – Initial

Recognizing the problem; poor quality data is prevalent throughout the organization.

Level 2 – Developing

Reactive solutions to the most pressing data quality issues, but not an organization-wide approach.

Level 3 – Defined

Data governance is in siloed pockets for specific business applications such as SAP customer masters and product masters.

Level 4 – Managed

An enterprise-wide unified vision exists, a targeted future state exists, supported with a roadmap.

Level 5 – Optimized

Shared, accurate, timely and complete data across all business systems and applications exists. Data governance is ingrained in the organization’s culture.

The Characteristics of a Managed Data Governance Program

 VISION

 The vision must be inspirational but requires incremental goals demonstrating progress and building enthusiasm.  Stakeholders must feel engaged in building the vision and realizing the impact on business goals.

STRATEGY

A data strategy is a high-level plan to execute the vision, aligning data management practices to the business strategy. The strategy establishes the “current state” of data governance, identifies the gaps to achieve a “future state”, and builds a roadmap to first reach the “Managed” and then the “Optimized” levels of data governance maturity.

ORGANIZATION

The organization is responsible for the governance, processes and that data quality is in place. The roles, responsibilities, process and skill sets are defined for the organization.  Senior leadership supports the new organization structure with budget, staffing, and visibility.

INFORMATION GUIDANCE

Information Guidance ensures the appropriate behavior for data governance and enforces the discipline to execute the strategy.

QUALITY

Data Quality is the process of presenting data to meet the specific needs of the business users. Accuracy, completeness, consistency, timeliness and validity are the chief measures of Data Quality.

 

POLICIES & PROCEDURES

Policies and procedures ensure compliance that the organization’s strategy and governance are being executed.

METRICS

Metrics have a correlation to business outcomes. Data Metrics are a key business driver, directly affecting KPI’s for senior leaders.  Metrics drive continuous improvement.

DATA INTEGRATION

Data Integration is the process of combining data from several different sources in a unified, standardized format. It includes the processes, roles, standards, quality, and metrics that ensure the effective and efficient use of information in enabling an organization to achieve its goals.

About SG4G Partners

With over twenty-five years of experience, we have a dedicated focus on supply chain, data governance, sourcing, procurement process improvements and best practices resulting in operational excellence for our clients. Our strength is in our breadth and depth of experience. Please contact us at 289-700-9647.