Differences Between Data Management and Information Management

To enable the enterprise transform toward zero-latency enterprise (ZLE), a new form of digital transformed enterprise, one area most people need to look into is data management. Traditional and legacy data management you use right now may be one of the areas to bottleneck all your effort.

For those in the technology market for long enough, will notice data management moved from sequential processing to random access storage, so it is possible to store a discrete fact and quickly access it using random access disk technology. As the world is moving toward real-time, so did technology required to change and address real-time, interactive usage, to meet user needs for the modern and future time.

Surprising to all the people in the knowledge management domain field, in modern management usage, the term data is increasingly replaced by information or even knowledge in a non-technical context. Thus data management has become information management or knowledge management. This trend obscures the raw data processing and renders interpretation implicit. Data has become popularised by the term big data, which refers to the collection and analyses of massive sets of data. It usually co-exist with artificial intelligence (AI) and machine learning (ML), cloud computing, being one of the main blocks of modern digital transformation related domain for modern days, to differentiate companies who are still in the pre- big data era. For a very big global corporation, established data management centres (DMC) for their operations is nothing new.

This post helps differentiate between data management and information management. So you can build up your working knowledge on the subject matters. Let’s start with Information Management, it is an organizational program that manages the people, processes and technology that provide control over the structure, processing, delivery and usage of information required for management and business intelligence purposes. While in contrast to data management is a subset of Information Management. It amounts to all disciplines related to managing data as a valuable, organizational resource. Especially, it’s the process of creating, obtaining, transforming, sharing, protecting, documenting and preserving data. Refer the below data lifecycle diagram for a more clear understanding of what data management is dealt with.

Information Management includes both electronic and physical information. The organizational structure must be capable of managing this information throughout its life cycle regardless of source or format. For example data, paper documents, electronic documents, audio, video and more.The is delivered through multiple channels that may include mobile phones and online.

Data Management, as we know, includes everything from file-naming conventions to policies and practices on creating metadata and documentation for the long-term. It ensures data that underlies an organization is available, accurate, complete and secure. Additionally, it addresses the development and execution of architectures, policies, practices and procedures that manage the full data life cycle.

E-SPIN provides leading information management services that incorporate solutions for data and records, and guarantees the safety and security of your sensitive information. Please feel free to contact E-SPIN  for your inquiry and requirement, so we can assist you on the exact requirement in the packaged solutions that you may require for your operation or project needs. From big data infrastructure and application performance and security monitoring to continuous protection.