Solving Data Security via Business Intelligence in India.

BUSN 732 Business Communications

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Question:

Write in full, complete sentences (not point form/fragments) for each question. The more explicit the detail, the more likely your topic will be approved the first time.

Where is the location of the problem (business OR public institution name, address) – it must be familiar to you. Fill in a complete name and address.

Who is your primary audience? (full name/title) – this is the head of the public place, organization, or someone specific. This about who you would have to send your report to for your idea to gain traction.

Vice President and CEO

a) What is the problem (define it 2 or 3 explicit, detailed sentences)? Do not mention the solution here. Clearly define the problem (the what) and why it’s a problem (the why).

Business Intelligence software often faces problems related to the data level security as it not used along with Artificial Intelligence. This is problem exists especially in India because the IT companies have not been able to integrate the two types of intelligence yet and access control has been synonymous with data security.

b) What type of problem is it? Fill in the applicable area below in full sentences.

Is it a technical (equipment/innovation) problem – how so? Select only this

Is it a technical (equipment/innovation) problem – This is a technical problem because even though the platform is integrated, managing large amount of data, and processing the same has encountered security issues. As a result of data duplicity, gathered customer information could become vulnerable.

How will you solve the issue? What is your idea? (It must improve upon the problem in the area you identified above). The purpose of the report project is to provide research that supports the potential solution as relevant and feasible and fit within the $100,000 grant money budget.

While infrastructure related issues are the reality for Artificial Intelligence implementation and integration in India, the company can begin with primary levels of integration by providing centralized data level security. Data analysis and interpretation would be improved and when similar queries are generated from different sources the same pool of data can be drawn upon instead of two or more SQL. Access control based on Artificial Intelligence would cross-check the control on the data and evolve the Business Intelligence perform as amore adaptive tool.

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