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**Please note. Initial discussion post (minimum of 300 words and 2 scholarly citations) is due tomorrow night by deadline. UPdate after initial post is received. 2 Peer Replys (200 word minimum each reply and 1 reply needs a scholarly resource this part will be due saturday morning.***
Review the assigned reading to prepare for this discussion. Chapter 4, “BADIR – Business Analytics in 5 Simple Steps” (ATTACHED BELOW)
Data analysts play the role of an interpreter, translating data and statistics into a language that others and machines can understand. Businesses leverage quantitative insights and pair it with qualitative insights (i.e., surveys, social media) to make the best possible decisions for the organization and its customers. RESPOND
Share an example of an organization that has created a “data proficient” culture and discuss how the organization’s culture has increased the company’s market share or competitive positioning.
What are three critical ingredients for data-informed decision making? Why?
How has the organization’s culture helped decision-makers understand the data language?
Initial Post: 300 words minimum
Citation Requirement: Minimum of two scholarly, peer-reviewed source properly cited and referenced.
The textbook can be used as a reference in addition to one scholarly, peer-reviewed article.
Online sources (e.g., Wikipedia, Investopedia, blogs, smallbus.chron, online magazines) are not scholarly or authoritative sources.
Industry-related, authoritative sources may be acceptable
Peer replys below will be updated shortly. Post substantive responses to your colleagues. Responses could include suggestions for further resources, questions of clarification, or providing context and insight. Avoid simple posts of agreement; if you agree, explain why, and then thoughtfully further the conversation.
UPDATE WITH PEER RESPONSES SO YOU CAN REPLY TOO EACH RESPONSE NEEDS A MINIMUM OF 200 WORD EACH WITH ONE RESPONSE HAVING ONE SCOLALARLY RESOURCE.
Response to Peers: 200 words minimum each. One needs a scholarly resource