How to Solve Data Management Challenges
Data is an essential business asset, providing insights and value for better decision-making. However, the volume of unprocessed, raw data has become a major challenge for businesses as they try to analyze and make use of it effectively. Data management requires careful and ongoing care for data quality, accessibility and integration with existing systems. It also requires the adherence to strict rules and standards for compliance that can be difficult for businesses to implement.
For example, many companies are struggling to break through the siloed data generated by segregating workgroup information into different enterprise systems–such as sales, marketing human resources, accounting. This can lead to the absence of transparency and prevent cross-functional analysis, and result in slow processes.
A great solution is to design a mapping framework and efficient processes to align data across multiple platforms. This can reduce the requirement to manually extract the data, transform it, and load it and speeds up integration. Deduplicate and remove stale information from sources to speed up scan times and reduce the amount data that must be integrated.
A strong data governance system can also assist in avoiding these issues. It ensures that only the right individuals have access to data and are using it in accordance with business goals instead of fighting blockages with DBAs over who owns which data sets. This will ensure that your company is using its most valuable assets and maximising the return on investment from the information you have.
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