Data is an important business asset that can provide insights and benefits to improve decision-making. However, the sheer amount of raw, unprocessed data is a major issue for businesses trying to analyze and leverage it effectively. Data management requires constant, careful care for accessibility, quality, and integration. It also involves adherence to stringent regulations and compliance standards, which can often be difficult for businesses to implement and maintain.
Many companies struggle to break through the siloed nature of information created by separating data from workgroups into various enterprise systems such as sales, marketing and human resources. This can lead to a lack of visibility and prevent cross-functional analysis and lead to inefficient processes.
The best solution is to design a mapping framework as well as efficient processes to align data across multiple platforms. This helps reduce the need to manually extract data, transform it and load it which speeds up integration. It is also important to separate duplicate data and eliminate old data from source systems as this will improve the speed of scanning tables and files and decrease the amount of data that has to be integrated.
A strong data governance system can also help prevent these problems. It ensures that the right people are given access to data and make use of it in line with their business goals. This is far better than fighting with DBAs about who owns the data sets. This ensures that your company can maximize the return on investment of the data that it has in the first place.
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