Enterprise Data Management: Scale Your Organization to Next Level

In today’s day and age, data surrounds us everywhere. The data volume has been ever-evolving, making data processing and generation of data insights quite complex. Inaccurate data leads can lead to the wrong business strategy and generate unreliable insights which further takes the business in the wrong direction. This is why dealing with data should be your primary concern if you want your company to become data-driven and transform it in a meaningful way. The key is to employ Enterprise Data Management.

About Enterprise Data Management 

Enterprise Data Management is a streamlined process of finding, managing, accessing, storing, and securing data in order to produce high-quality, reliable insights that improve decision-making. Establishing an effective EDM system is not an easy task as it requires in-depth knowledge of the company’s structure and work processes. A dedicated team of your organization’s EDM has to focus on a set of business practices and processes across the data lineage process. But once EDM is established, it involves a wide spectrum of activities like organizing both company’s data as well as its people. 

Role of EDM in your Business 

Establishing a well-defined EDM structure means first designing and enforcing regulations that will unite all business processes. Standard business practices and processes across an enterprise hold true significance for many reasons. This involves defining a framework for every business process within the organization and various aspects. 

Data Lifecycle of your Business covered by EDM 

Designing of data pipelines for every enterprise data volume and type: master data, reporting data, metadata, reference data, and transactional data. 

Specifying data structure definitions for dataset usage – every dataset user will have information about the data type and structure contained in it.

Ensuring implementation of valid business rules within the process of data transformation into the final product.

Components of Enterprise Data Management

A company’s EDM system consists of multiple smaller subsystems, each of which has a particular role in creating the final products. Each subsystem plays a pivotal role in the entire EDM program but data governance, warehousing, and architecture are the three special subsystems we’ll be discussing. 

Data Governance: Data governance is the foundational layer of EDM and is directly related to all subsystems. The objective is to establish a well-defined EDM strategy. This includes creating fundamental documents that determine processes, tasks, policies, rules, and responsibilities throughout the organization. These regulations ensure core business values like superior data quality, security, and quality. 

Data Warehousing: In an EDM system, data warehousing and BI represent the analytical core models. Data warehousing plays an important role in reorganizing input data into a format that is suitable for data analysts looking to extract meaningful information. Business intelligence empowers end-users with that information, allowing them to make smart data-driven business decisions in real-time.   

Data Architecture: Data architecture creates user instructions to guide you through the process of collecting data, integrating, and transforming, along with data modeling. The main objective to set up a functional data architecture is to structure and secure the operational environment in which data will be stored and controlled.        

Advantages of Enterprise Data Management

A true value of a well-defined EDM lies in a holistic data approach, focused on its essence, high quality, and data usage to the business.  

A well-organized EDM set-up makes an organization more productive & efficient and helps you

  • Build a scalable data framework to allow your system to adapt quickly to any changes
  • Reduces costs involved in IT infrastructure, backup, and storage
  • Enhances compliance
  • Ensure consistency in data 
  • Perform accurate data analysis and extract meaningful insights
  • Set up a solid foundation to monetize data 

Who is in charge of Enterprise Data Management?

Enterprise data managers play a significant role in defining EDM practices, policies, and procedures. These managers usually have an IT or economics background. Generally, enterprise data managers are IT project managers, business project managers, database administrators, and IT administrators, who hold years of experience in the industry.  

They are responsible for both managing a company’s data systems and monitoring that the archiving of data is no longer in use. In simpler terms, they control data lineage across the enterprise, ensuring that data is highly reliable and can be used to generate precise data insights for smarter & faster decision-making. 

Building a system for long-term success

Maintaining data and data processes are essential for a company’s sustainability and success. Implementing enterprise data management in the right way helps your company make smarter, data-powered decisions and it can also make it easier to integrate those insights and transform data into final products. Also, it standardizes your data and work culture, enhancing decision-making processes, and streamlining communication with partners – allowing you to save time, and money and reduce operational costs.  

If you don’t already have a strong EDM in your business, there’s no better time than now to leverage Polestar Solutions’ EDM services and scale your business growth.