In the quest for Big Data and successful Business Intelligence, many business organisations want to know how then can access information by way of dashboards and scorecards or other forms of interactive reporting and analysis. Available self-service solutions and the enhanced ability to interact with information easily allows more users access to the needed analytics in order to gain a broader understanding of business insights. With all these processes and developments, businesses tend to overlook the increasing role of data management in providing valuable, relevant and reliable information to their organisation. After all, without any strong and reliable data infrastructure, it will be very hard for organisations to achieve data delivery goals.

Image credit: www.canopach.com

Image credit: www.canopach.com

Experts and long time data management adapters know that front-end applications can provide the insights they need to identify business opportunities in order to make better decisions, but in reality, to achieve success businesses need to simplify and commit to the best practices in Enterprise Data Management (EDM). With the increasing focus on self-service Business Intelligence and a wider range of data discovery, BI initiatives are slowly shifting to be the responsibility of those that are outside the traditional IT roles. So it means that top management staff and decision makers will also need to have a better understanding of Enterprise Data Management, how the process works and how essential it is to the overall success of the analytical and operational applications.

Enterprise Data Management Defined

Enterprise Data Management is an organisation’s ability to effectively build, create, integrate, dispose and manage data for all enterprise applications, processes and other entities that needs an accurate form of data delivery. It is also a concept that addresses the transmission of different data sets within the applications and processes that rely on the use of these data sets to complete transactions and other business processes. The main function of an EDM is to remove organisational issues and the conflicts that result from the mismanagement of data and information through the implementation of structured data delivery.

9 Steps to Simplify EDMs

If you already have Enterprise Data Management implemented, the most essential factor for you as a business is to maintain valid, reliable and accurate information access. Without any access to the information required to making solid business decisions, an organisation will not be able to compete with the ever-competitive market. Plus with the expanding requirements for information, any organisation cannot just simply put together their data sources, they need to have strong data management organisation to ensure that all data is transformed into valuable and actionable information.

Below is some effective advice on how to simplifying data management practices.

1. Start With Inventory

Yes, it’s very basic but some organisations do not realise the importance of inventory. You will not be able to manage anything unless you know what you are managing. Know your assets and come up with a detailed asset inventory across the IT subgroups and their mapped interactions.

2. Affix the Value to the Assets

After the asset inventory, you need to prioritise your assets. Know and understand the value of each asset that you have in your organisation. You need to know if they are essential in delivering important services, or if they are redundant, used as a back up, etc.

Image credit: www.cyrusone.com

Image credit: www.cyrusone.com

3. Figure Out the Assets

The next step is figuring out the assets. How do they deliver services to the organisation? This may rearrange the system priorities and how the system resources are managed. By doing this, you will be able to change the resources based on their requirements.

4. Hire Appropriate Staff

The right people with the right skills are essential when handling complex data management processes and tools. Some business organisations can have specialised workers in their IT department, but some of them may not have the skills and expertise needed to manage high level systems. IT bosses should be honest with everyone, including themselves, when evaluating the IT staff’s ability to do the assigned job and the technological skills needed to fulfill their role.

5. Streamlining Management Duties

As new technologies and systems emerge and are added to the existing infrastructure, they are often integrated into the existing data center scheme. To really have an effective management plan, the enterprise should know how they cluster technologies and set out the responsibilities to their IT team. Plus, the IT infrastructure should be flexible to change because technology is always changing. One way of being flexible is by adopting virtualisation.

6. Bridge the Visibility Gaps

The lack of overarching visibility in daily operations is the biggest challenge to systems management. When you’re trying to look for new systems, you have to ask yourself if the software can cut across these challenges and re-organise them so that you’re looking at them as a group. This means that you need to have different subgroups that take care of the data silos. If virtualisation has been implemented, the tools should be able to give enhanced visibility into the virtual and physical systems.

7. Go Green

Being green is a good sign of solid corporate responsibility. One of the easiest ways to go green is to effectively manage power and cooling requirements. If you’re upgrading your data management tools, it is highly recommended that you consider power management in the decision-making stages.

8. Automation Vs Manual

Automation is the more preferred method in running systems for EDMs, thus the processes and tools should be able to automate simple and complex tasks. For example, to improve power management, a specific tool will be programmed to turn off workstations after office hours and turn them on again before the user arrives.

9. Integration and Scalability

Scalability is important for a fully functional and effective Enterprise Data Management system. It is very important that an enterprise chooses its tools based on their ability to grow with the organisation. Scalability and compatibility are important, especially for any organisation that is expanding rapidly by way of mergers or acquisitions. Having a smooth integration of systems will lessen the strains on the IT staff when managing newly acquired systems, workstations and personnel.

If all these things fit your EDM requirements, then you’re on the right track.

About Author

Jon specialises in research and content creation for content marketing campaigns. He’s worked on campaigns for some of Australia's largest brands including across Technology, Cloud Computing, Renewable energy and Corporate event management. He’s an avid scooterist and musician.