What Is Data Mapping?
Data mapping is the process of transforming a company's disparate data sources into one unified stream of data. This is essential for organizations that collect, store and analyze huge amounts of data.
Data mapping helps you achieve deeper insights into your business and make better decisions on a large scale. It also helps you comply with privacy regulations like GDPR and CCPA by accurately connecting sensitive, confidential, and personal information to individuals.
To create an accurate data map, you need to know where your data is coming from and how it is being processed. This will help you determine which data fields need to be mapped and how they should be matched up with the source destination.
For example, if you want to connect a list of clients with their invoices and purchase orders, you'll need to map the 'Name', 'Email', and 'Phone' fields from each source to the relevant data fields in your target destination database. In this way, you'll ensure that the correct data is sent to the correct person.
Mapping is typically done manually by experienced software developers, though you may also opt for a semi-automated or automated solution that can do most of the heavy lifting for you. These programs have a number of built-in verifications, but you can still check them manually for any errors before they reach your destination. Visit this company website to get more entail on data mapping.
A good data mapping tool should provide a common view into the data structures being mapped so that all analysts and architects can see the data content, flow, and transformations. This ensures that they can identify potential problems and avoid them before it's too late.
It should also provide an automatic, real-time alerts if any connections are not working as expected or the data is not high quality or accurate. This will enable you to identify and address issues quickly before they impact your workflow or affect your decision-making processes.
In today's world, enterprises collect and store data from a variety of sources, so it's essential to create an automated data pipeline that helps you bring together your disparate systems and transform the data into a single stream of information. A BI and analytics platform that can provide this functionality can save you time and money while allowing you to make more informed decisions for your business.
To find the best tool for your needs, consider the size of your organization and the amount of data you're processing on a daily basis. For example, a small business might only have a few data sources and would need an inexpensive, lightweight solution. For larger businesses, however, a more powerful, scalable, and flexible solution is recommended to handle large volumes of data.
Once you've selected a data mapping solution, you should set up the data flow. This includes identifying and mapping the data sources, their destinations and data formats, as well as maintaining a process log. In addition, you should ensure that you transform and validate the data once it reaches its destination, so that it's ready for storage and use. If you want to know more about this topic, then click here: https://en.wikipedia.org/wiki/Data_mapping.