Data Stewardship & Common Data Management Challenges in Logistics

Data stewardship is what keeps the right information in front of you at the right time.

Data stewardship is essential for organizations to master. It takes you further than data management, and understanding the difference is key to collecting and using data well.

Unfortunately, many confuse the two and fail to make the most of organizational data. Answering “what is data stewardship” and understanding its role helps supply chain professionals deal with modern logistics challenges, including disruptions, limited budgets, and managing countless network partners. Data stewardship enables you to address these challenges with improved data management by recognizing incorrect, missing, or latent data.

What Is Data Stewardship in Logistics?

Data stewardship refers to managing company data and making data available to users. Data collection and sharing sound like data management. People are often confused about the difference between data management vs. data stewardship.
Data management happens on a more superficial level. Data stewardship is a complex and comprehensive process that includes all aspects of data, including:
  • Collecting
  • Viewing
  • Applying
  • Maintaining
  • Following through

In addition, data stewardship involves data security. An organization’s data opens it to risk.

Organizations need an effective data stewardship system, yet many fall short of this goal. Data is challenging because it features a never-ending cycle of managing data while new data comes in. Organizations that do not have a good data stewardship plan are likely to struggle.
Many organizations have responded to the data challenge by designating a data steward in charge of managing, sharing, and applying data. While hiring someone for this role may be a step in the right direction, it is not enough. Modern organizations have so much data and applications for that data that one person cannot manage data stewardship independently.

It’s not impossible for a company to carry out data stewardship, and you may not need an entire team. Instead, this is where modern technology comes in. New technologies offer the potential to handle the challenges of data management that interfere with data stewardship. Cutting-edge technologies are capable of supporting organizations in improving their ROI regarding digital transformation and management.

Challenges Affecting Data Stewardship

Organizations often face data management challenges that interfere with proper data stewardship. To address the problem, start by understanding existing operations through standard benchmarking. It’s essential to understand what is data stewardship’s effect when it is poorly managed?

Incorrect data

Not all data leads to effective outcomes. Incorrect data negatively impacts decision-making and outcomes.

Latent or untimely data

Some data is too outdated to be relevant. It’s possible for data to no longer be valuable due to its age, and the data’s value can change quickly. Even recent data from the same or previous week may no longer be helpful. It’s important to make decisions from a complete look at needs going forward, using the most recent data possible.

Missing data

Incomplete data poses a challenge because organizations need a comprehensive viewpoint to understand fully what to do next. Using the right modern technologies with effective data stewardship processes provides the data set required for the best decision-making.

Data integrity

Organizations need to rely on quality data when making decisions. In addition to being accurate and current, the data must be complete and functional. Data stewardship involves assessing data for whether it will help make organizational changes. This data needs to be distinguished from data that may be useless or bog down useful data.

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Turn to MercuryGate for Support With Your Data Stewardship

Beyond data management, you need to answer, what is data stewardship in my organization? Then create the right processes to support that answer.
Organizations often struggle to keep up with data. They struggle to utilize it to move forward correctly. They may veer off track from their goals by using incorrect, untimely data or otherwise lacking integrity. Creating and following proper processes in data stewardship while utilizing technology to manage these processes improves your organization by allowing you to maximize your data.

MercuryGate offers cutting-edge technology to help your organization collect and use your logistics data effectively as part of a comprehensive data stewardship process. Learn more about how data stewardship works and its connection to logistics in our data stewardship in logistics e-book.

Find out why data stewardship merits your attention.

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