Traditional analytics and big data analytics

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Reference no: EM134006981

Questions

1. Distinguish between traditional analytics and big data analytics.

2. What is the advantage of using technologies such as Hadoop and NoSQL for big data analytics rather than typical data warehousing analysis approaches?

3. The HIMSS Analytics Adoption Model is based on a cumulative capability structure. What does this mean?

4. How is achieving stage 7 of the HIMSS Analytics Adoption Model expected to affect clinical care?

5. The authors suggest that healthcare analytics models are "immature" with regard to managing data as a strategic asset. What is the basis for this assertion?

6. What analytics capabilities characterize more advanced or mature analytics organizations?

7. Describe different ways a healthcare organization can establish and structure an enterprise analytics function.

8. What are key staffing considerations when establishing an enterprise analytics function?

9. What are the two primary facets of governance for an enterprise analytics function?

10. What is a common barrier to democratizing data analytics across the enterprise?

Reference no: EM134006981

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