ACCESS THE RAW DATA (Big Data)

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QUESTION 1

Are you planning to recommend that clients have ACCESS THE RAW DATA (Big Data)?? Or are you planning on recommending analysis on that Big Data be performed and that analysis be presented as a FINISHED PRODUCT to clients??

If you are planning on recommending your client allow many customers to access your client’s raw data, then how big is the Helpdesk your client will probably need and how big does your network throughput need to be to allow customer-access? And what about Security? If your client’s business is mostly in the cloud – are you comfortable the recommended CSP is going to provide sufficient security? If you are mostly NOT recommending the cloud – what’s your general plan for Security?

Sample Solution

Response:

The decision of whether to provide clients with direct access to raw data or to deliver finished product analysis depends on several factors, including:

  • Client Needs and Preferences: Some clients may require direct access to raw data for in-depth analysis or compliance reasons. Others may prefer a finished product that is tailored to their specific needs.
  • Data Sensitivity and Privacy: If the data contains sensitive or personally identifiable information, providing direct access may pose significant security risks.
  • Client Technical Expertise: Clients with limited technical expertise may find it difficult to extract meaningful insights from raw data without additional support.
  • Resource Requirements: Providing direct access to raw data may require significant investments in infrastructure, security, and support services.

If recommending raw data access:

  • Helpdesk Size: A larger helpdesk would be necessary to assist clients with accessing, understanding, and analyzing the data.
  • Network Throughput: The network throughput would need to be sufficient to handle increased data traffic from clients accessing the raw data.
  • Security: Robust security measures would be essential to protect the data and prevent unauthorized access or data breaches. This would likely involve implementing firewalls, encryption, and access controls.
  • Cloud vs. On-Premises: The choice between cloud and on-premises infrastructure would depend on factors such as cost, scalability, and security requirements. If security is a primary concern, a hybrid approach combining cloud and on-premises solutions may be considered.

If recommending finished product analysis:

  • Helpdesk Size: A smaller helpdesk may suffice, as clients would primarily interact with the finished product rather than the raw data.
  • Network Throughput: The network throughput requirements would be lower, as the data would be processed and analyzed internally before being delivered to clients.
  • Security: While security is still important, the risks associated with providing direct access to raw data would be mitigated.
  • Cloud vs. On-Premises: The choice between cloud and on-premises infrastructure would depend on factors such as cost, scalability, and the specific requirements of the analysis process.

In general, providing finished product analysis is often a more secure and manageable option, especially for clients with limited technical expertise. However, if clients have specific needs or requirements that necessitate direct access to raw data, it is essential to carefully evaluate the risks and benefits and implement appropriate security measures.

 

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