Please read the following Harvard Business Review – MIT Sloan Management Review Article:
- Analytics 3.0.pdfDavenport, Thomas H. Harvard Business Review Vol. 91, Iss. 12, (Dec 2013): 64-72.
- What is this article about?
- To answer this question, please develop a comprehensive Concept Map with no less than 30 Concepts (boxes) from a Concept Mapping Perspective and their corresponding Linking Words from a Concept Mapping Perspective … for more information about “How to Develop a Concept Map” please refer to the “Some Learning Tips for this Learning Assignment” section below.
- Which are the three most critical issues of this article? Please explain why? and analyze, and discuss in great detail …
- For EACH critical issue please write and post at least one or two strong comprehensive paragraphs
- Which are the three most relevant lessons learned of this article? Please explain why? and analyze, and discuss in great detail …
- For EACH lesson learned please write and post at least one or two strong comprehensive paragraphs
I have this information for my concept map, I just do not know how to create it.
Analytics 1.0 → focuses on → structured data
Analytics 1.0 → supports → internal reporting
Analytics 1.0 → improves → managerial decisions
Analytics 2.0 → emerges from → big data
Analytics 2.0 → uses → unstructured data
Analytics 2.0 → depends on → new technologies
Analytics 3.0 → combines → Analytics 1.0
Analytics 3.0 → combines → Analytics 2.0
Analytics 3.0 → creates → measurable business impact
Organizations → compete in → data economy
Data economy → increases value of → analytics
Analytics → becomes part of → products
Analytics → becomes part of → services
Analytics → shapes → customer experience
Organizations → collect → transaction data
Organizations → collect → sensor data
Organizations → collect → customer data
Every device, shipment, and consumer → leaves → data trail
Data trail → provides → insight
Insight → supports → frontline decisions
Frontline decisions → improve → operations
Big data → includes → high volume
Big data → includes → high velocity
Big data → includes → high variety
Traditional analytics → provides → rigor
Big data analytics → provides → speed
Big data analytics → provides → scale
Organizations → need → data integration
Organizations → need → new data architecture
Organizations → need → analytical talent
Managers → must create → analytics-focused roles
Managers → must set → guidelines for action
Guidelines for action → help interpret → digital smoke signals
Digital smoke signals → serve as → early warnings
Early warnings → enable → faster response
Faster response → increases → agility
Organizational culture → supports → evidence-based decisions
Evidence-based decisions → strengthen → competitive advantage
Competitive advantage → comes from → better use of analytics
Analytics 3.0 → represents → new model of competition