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Expensive maintenance Maintenance is also an expense that you have to keep in mind with big data. Any system maintaining your data has to be kept in working order. You need to be sure that the infrastructure is sound and that the technologies aren’t outdated. If you find that the technology is outdated, you may want to update to faster, cheaper methods of storing, analyzing, and processing your data. If costs are high, looking into a cloud-based platform may be a better solution, since they tend to offer pay-as-you-go options. Or, if you find that your system has too much to offer for what you want to do with it, it may be time to downgrade to something simpler to save money.
What Big Data and AI Can Do for Your Business 8. Inaccuracies when analyzing data Another problem some people run into is receiving inaccurate analyses from their data. There are normally two reasons for this: Poor quality source data System defects Bahrain WhatsApp Number If there are errors or defects, you can expect that there will be poor results. Make sure to test your platform and verify each part of the development to identify problems and ensure your data is handled correctly. 9. You’re struggling with silos Another problem you may run into is trouble with silos.
Data silos slow everyone down, because they limit access to your data. is the most common cause of data silos, so consider upgrading to a cloud-based platform with a centralized storage area for your data. What is a Data Silo? 10. Unprotected, unsecured data Finally, remember that your data is important and needs to be secured. If the platform you’ve decided to use doesn’t have good security, your system will be open to viruses, malware, and external infiltration.
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