From the diagram  below, explore how you can really bolster its analytic horsepower by including data from other data sources. They could be publicly available data sources, like U.S. Census or World Health Organization data, or they may be from new primary data sources that you create (like a survey) to gather more variables to help boost the validity of your research design.

 

.  Explaining the data warehouse options that would be the best fit to boost your analytic horsepower.

 

• Summarize the starting schema that you have as your base design, from which you want to add in new data sources.
• Research several additional new data sources that will bolster your research and choose a minimum of three that will achieve that objective. Describe how each new source will add to the analytic horsepower of your intended output.
• Establish a new theoretical design for warehousing these new sources (new star schema perhaps to meet the need of including these new data).

• Make a new schema of what the additional data sources (1-3 tables per source) will look like. You may just add the newly proposed tables to the entity-relationship diagram from the diagram above (there is no need to make a new database for this; just depict what the new data schema would look like with the new data sources added in)
• Conclude with your best choice to store and manage your data and explain your reasons.
   

orders order_id INT order_date DATETIME customer_id INT payment_id INT order_status VARCHAR(255) Indexes sales sale_id INT sale_date DATETIME product_id INT quantity INT price DECIMAL (10,2) customer_id INT Indexes payments payment_id INT payment method VARCHAR(255) Indexes 1 Indexes 11 customers customer_id INT customer_name VARCHAR(255) address VARCHAR(255) phone_num ber VARCHAR(20) email VARCHAR(255) 1 1 1 Indexes products product_id INT product_name VARCHAR(255) description TEXT category_id INT supplier_id INT price DECIMAL (10,2) stock_level INT categories category_id INT category_name VARCHAR(255) Indexes I staff staff_id INT staff_name VARCHAR(255) position VARCHAR(255) contact_info VARCHAR(255) Indexes suppliers supplier_id INT supplier_name VARCHAR(255) +1- contact_name VARCHAR(255) contact_email VARCHAR(255) product_category VARCHAR(255) Indexes