Data Management: An Introduction

data management introduction

Data management is the secure, efficient, and cost-effective practice of collecting, keeping, and using data. Organizations appear not to have one owner of data. American Productivity & Quality Center (APQC) defines a data owner as an individual accountable and responsible for a specific data domain (area). Responsibilities include authorizing data access; and ensuring data accuracy, integrity, and timeliness.

In 2020, APQC conducted a survey with 300 managers to understand trends in managing data. The survey found the participants prioritized the focus of their strategy as follows:

  • Data identification and collection
  • Data storage
  • Data processing
  • Data governance
  • Data provisioning

A strong management strategy is important as organizations rely more on intangible assets to create value. In addition to an organization’s need to get value from its data, the strategy should address user activity, technology capabilities, and regulatory requirements. To extend the concept of strategy development, it should cover factors such as:

  • Creating, accessing, and updating data across various data levels
  • Storing data across multiple clouds and on an organization’s premises
  • Supplying disaster recovery
  • Using data in a variety of applications, analytics, and algorithms
  • Ensuring data privacy and security
  • Archiving and destroying data per retention schedules and compliance requirements

Source Material

American Productivity & Quality Center [APQC] (2020). Intersection of data, process, and knowledge management: Survey summary report. Retrieved from (n.d.), What is data management? Retrieved from

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