In the past few years Big Data technologies have gained tremendous attention due to its potential to transform data mining and business analytics practices and the possibility for a wide range of highly effective decision making tools and services. With new tools, technologies and infrastructure available at our disposal, it has become much easier to capture, store and analyze unstructured data in the enterprise.
Big Data technologies looks very promising as it analyzes all kinds of unstructured data, with a goal to make better decision making. However, enterprise adoption of Big Data is still at its infancy. There are several challenges that need to be addressed, like inability to store and process ever growing data, and complexity in integrating the non-traditional kinds of data with traditional data from other enterprise systems for data mining and analysis. With that said, I want to ignite a fresh discussion on aspect related with adopting big data in the enterprise organization, it's challenges and best practices:)
I assume you are taking about structured as well as unstructured data.
I recently wrote an article with my colleague James Hao on the challenges, as well as the opportunities, for introducing big data analysis published by the US Institute of Internal Auditors and attached in full at the link below. If this helps your research, please give the article a recommendation and citation.
Article Beneath the data: Using self-service business intelligence t...
Sajda Taha Mahmood
Thank you for sharing your insight in this important discussion.
Chris Kelly
Appreciated for your reply. And thank you for sharing your article link. It is so informative.
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