Mercy's corporate data model benefits? Is Mercy's entrance into big data making a well-designed model that specifies the company's data needs and goals more or less important?

Could you please explain the possible advantages of a corporate data model for Mercy? How essential do you think it is for Mercy to have a well-designed model that specifies the organization's data needs and goals, now that it has begun to dabble with big data?

The more evidence that can support an accurate, the better the decision-making that can be made to ensure growth and company objectives. Could "analysis paralysis" take over and thereby prevent the use of multiple tools?

Evaluate and discuss the required levels Businesses/Organizations traverse in order to achieve analytics maturity, which are the following. Level 1: Basic- siloed, ad-hoc, conflict Level 2: Oppurtunistic- departments pursue independently, culture creates barriers, lacking leadership. Level 3: Systematic- centralized shared analytics resources, analytics standards and supporting technology, structured repeatable processes Level 4: Differentiating- constistently leveraging data, clear leadership and champions, frequent data driven decisions Level 5: Transformational- Data built into processes, all decisions are data driven   Utilizing additional research, as a Digital Marketing Strategist for Google, explain how you will demonstrate to the Chief Executive Officer (CEO) the significant role you will play in the development of Analytics Maturity for your firm.  Please be mindful to include relevant Digital Marketing Analytics concepts learned in the Chapter in addressing your claims.

1. How can data could help to inform business decisions. Data includes political system, economic classification, gross domestic product, economic blobcs impacting trade and purchasing power parity.  For example, consider what information each data point provides, whether you think some data points should be weighted more or less heavily than others in making a business decision, What ideal data points might look like for expansion into a new market for a product such as bluethooth speakers, and the ways that different political systems may impact a decision, and so forth.