Question

After your current state analysis, it has been determined that the client's biggest pain point is the amount of time it takes to enter data into each system and that this could be improved by creating a unified data architecture to be used across all systems. What steps would you go through to implement this new database? What do each of these steps entail?

Options:
A) Implement the new database without a plan.
B) Develop and execute a plan for the new database.
C) Ignore the client's pain point and proceed.
D) Implement the database without considering pain points.

Answer 1

To implement a new data architecture, steps include Requirement Analysis, Design, Development, Testing, Implementation, Training, and Monitoring. Each step aims to create a system that streamlines data entry processes and enhances efficiency.

Step-by-step explanation:

Steps to Implement a New Data Architecture

When addressing the client's issue of inefficiency in data entry across different systems, the recommended approach is Option B: Develop and execute a plan for the new database. This approach comprises several steps, each with specific objectives to establish a unified data architecture.

Requirement Analysis: Begin by gathering detailed requirements from all stakeholders. This includes understanding the types of data, their sources, and how they are currently processed and stored.

Design: Create a comprehensive design for the new unified data architecture. It should cater to the needs identified in the Requirement Analysis and provide a roadmap for development, integration, and migration.

Development: In this phase, develop the database and related applications based on the design specifications while ensuring scalability and security.

Testing: Rigorously test the new system for any flaws or issues that need addressing. This ensures reliability and performance according to expectations.

Implementation: Carefully deploy the new database system in the production environment. This includes data migration and integrating with other systems.

Training: Provide training to users to ensure they are comfortable and efficient in using the new system.

Monitoring: After implementation, continuously monitor the system to handle any issues promptly and to improve system performance over time.

Executing these steps will lead to a streamlined data entry process, saving the client time and improving overall efficiency with a robust data architecture accommodation.