Pharma Analytics: Optimizing the Pharmaceutical Value Chain with Big Data Analytics

Existing Challenges in the Pharmaceutical Supply Chain

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  1. Drug Shortages and the inability to manage unexpected surges in demand. No mechanism in place to predict demands.
  2. Shrewd management of pharma inventory is not possible with traditional processes.
  3. There is no specific process to ensure the integrity and quality of the drug that reaches the patient’spatient’s hands.
  4. Supply chain managers do not have transparency over several parts of the supply chain because they aren’t digitized.
  5. There is no means to curb medical wastages or to study the environmental impact of the supply chain.
  6. No fall-back mechanism to mitigate the impact of natural or artificial disasters.

1. Avoiding Drug Shortages

2. Improve Visibility and Coordination

3. Combat Counterfeit products

4. Prevent Cold Chain Failures

5. Minimizing Pharma Supply Chain Footprint

6. Minimizing Disruptions in Supply Chain

7. Disaster planning and crisis management

Data Sources for Pharma Supply Chain Big Data Implementation

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1. Product Data

2. Demand Data

3. Planning Data

4. Manufacturing Data

5. Inventory Data

6. Logistics Data

7. Supplier Data

8. Customer Data

9. Publicly Available Data

Analytics Services for Healthcare and Life Sciences

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