Improve your data to add value.
Data Enrichment can be a useful tool to add value and improve the quality of your organization's data. But what is the enrichment of data in the real world? How does it work and what does it look like in an organization's infrastructure? Experts describe the data enrichment process as setting up a set of methods and structures to refine and improve information, which may seem a vague concept. Specifically, the goal of data enhancement is to be a more valuable asset - to make the most of it, do more, access it more easily and be more proactive in its use - without significantly increasing costs or risks. If this sounds like a valid idea, what it should, the following information will help understand your enrichment process and what it might mean for your organization.
How it Works - Overview of Data Enrichment
Each organization has its own unique goals to add value to its data, but many of the tools to enrich data are universal in their refinement of content and documents to eliminate errors and inconsistencies. This is something the company can appreciate. To ensure that algorithms are accurate when adding new data to tables to correct typographical or spelling errors, these tools are designed to improve the quality of all data fronts. However, some processes are more complex than others and require more complex tools. Your organization may be interested in refining and simplifying your data, for example. Or you can consider migrating all your data to a new content management system after removing inconsistencies and errors to improve the quality and simplify the accessibility of all your raw data. Whatever your goals, it's about developing a strategic plan and putting in place the right tools to get you there.
Key Steps to Enhance Data
A few simple steps can help ensure successful implementation of data enhancement within your organization. First, make sure to start the process with an evaluation of the quality of all data from your (your) content management system (s). Ensure that you have a team of experts in charge of the evaluation process and that your evaluation methodologies cover the essential areas of integrity, accuracy, consistency and completeness. All data that does not pass this test in four parts must be repaired or eliminated completely. The right strategies to discover and solve problems within your data structure make all the difference in this initial assessment process.
Once this important step is completed, it will be necessary to determine the best process to enrich the unique data within your organization. This process will be different for each organization, but in general it is safe to say that your team will need to bring new data to enrich and add value to the current datasets in your system. Experts recommend starting the enrichment process by cultivating an individual plan for your organization's data needs, conducting the necessary research to ensure an effective strategy, locating necessary data from external sources, extracting data and verifying it for quality before implementation.
Stay one step ahead of the game
Before this data enrichment overview is complete, it is important to discuss the importance of anticipation in this process. Careful planning and consideration of potential outcomes are critical to successful data enrichment. There are so many potential advantages to enriching your data and migrating it to a newer, better and more functional system, but if your team fails to complete this last step, you may be caught off guard by consequences unexpected. So be sure to review the entire process and determine what data is moved, in what order and who will be involved. Consider the unexpected consequences of each planned action. Determine what would be the best solutions if these consequences actually arise and who will be responsible for the implementation of these solutions. Permanent testing and monitoring will be required to maintain the quality of your data and allow your team members to continue to add value down the road. A high level of anticipation and planning will go a long way in the end.