Pharma

This industry has very unique challenges. Pharma companies have complex sales processes that change depending on the type of product, long production cycles, with lead times that can easily reach 180 days, and a distinctive requirement for quality; it all comes with an excellent opportunity to get large benefits from applied analytics.

One of the most common challenges they face is that a real increase on market share is highly dependable of medical recommendations and prescriptions and other health care providers influences and decisions. Analytical recommendation models can generate a lot of value for the relationships with doctors and patients. Lead scoring models is also great tool to maintain a strong pipeline.

The product formulation, especially in solid deployed medication, and the packaging process, both represent a singular challenge for manufacturing sequencing and schedule. In addition to that, the complexity of package MRP and constant component changes and improvements only increase the potential value to be captured by the use of analytics.

DHAUZ can help

DHAUZ has extensive experience in exploring publicly available and privately captured data to leverage data science modeling in combination with process transformation that creates a high performance environment for health care. Here are some areas that we can actively help:

R&D and Clinical Trials

Manufacturing

Supply Chain and Planning

Marketing and Sales

Where can you get the most impact?

Demand Generation

1. Learn client needs

2. Understand demand drivers

3. Pricing and CTRM

4. Marketing and Sales Execution

Supply Chain & Operations

1. Understand productivity drivers

2. Intelligent planning

3. Optimize manufacturing and operations

4. Distribution speed and resilience

NPS & Business Outcomes

1. Net Promoter Score (NPS)

2. Environmental Goals

3. Top Line

4. Bottom Line

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