Princeton, New Jersey

Department Page

Business Intelligence

 Objectives, Process, Department Structure and Cost

Department Chair

Name
[Company / Consultancy / Service Provider / Patient Advocacy] 
[Title]

[Several sentences description of qualifications]
[Relevant professional association memberships]

[Link to LinkedIn/ Organization] 
[V-Card]

Advisors

Name
[Company / Consultancy / Service Provider / Patient Advocacy]

[Title]

[Link to LinkedIn profile or Organization 

[V-Card]

Name
[Company / Consultancy / Service Provider / Patient Advocacy]

[Title]
[Link to LinkedIn / Organization]

[V-Card]

Write your awesome label here.

Introduction to the Department

Core Courses

Business Intelligence Potential Uses

  • [____________]
    _____________
    _____________
  • [____________]
    _____________
    _____________
  • [____________]
    _____________
    _____________

[Instructor photo]
Instructor:  ______
[Title and Employer]

Data Types and Sources

  • Prescribing Data
  • Claims Data
    Open Payments
  • CRM and Operations Software 

[Instructor photo]
Instructor:  ______
[Title and Employer]

Data Platforms and Analytics 

  • Transactional (picture) vs. Analytic (movie) databases
  • Azure vs. AWS etc.
  • B.I. Systems
    Qlik, Power B.I., Tableau, Smarten
    [BI needing to be analytic]
    REST API

[Instructor photo]
Instructor:  ______
[Title and Employer]

Sales Team Structures, Targeting and Compensation

  • CRM options and functionality
  • [____________]
    _____________
    _____________
  • [____________]
    _____________
    _____________

[Instructor photo]
Instructor:  ______
[Title and Employer]

CRMs and Operations Software

  • Platforms
    Standard Configurations
    Customization vs. 
  • [____________]
    _____________
    _____________
  • [____________]
    _____________
    _____________

[Instructor photo]
Instructor:  ______
[Title and Employer]

Expert Courses

Competitive Intelligence

  • [____________]
    _____________
    _____________
  • [____________]
    _____________
    _____________
  • [____________]
    _____________
    _____________

[Instructor photo]
Instructor:  ______
[Title and Employer]

Sample Business Intelligence Program Plan 

Specify:
a.  intended uses of the data.
b. data source options
c. analytics platform options
d. vendors, scope of services, anticipated pricing ranges.
e.  Sales, Marketing and other operational integrations
f.  dashboards and CRM   

Sample RFP Documents

Utilize procurement principles of exploring options and defining the proposals iteratively with our template request and process documents.    

Sample Job Description

Visualize organizational chart options and structure for duties related to Business Intelligence, defining what is to be done in-house and by vendors.   

Sample Data Privacy Inventory

Ensure adequate data ownership and control with living documentation that meets GDPR, California and other requirements. 


 

In the U.S. about 200,000 patents are issued each year.

In the U.S. about 350,000 patent applications are filed each year.

There are about 8,000 patent examiners in the USPTO

USPTO Technology Center 1600 handles drug and biologic therapies and diagnostics Most patent examiners are attorneys

Patent examiners are divided among nine centers, each with a different technology focus.

The average amount of time a USPTO examiner spends with a patent is 19 hours.

Most patents have no, or very limited, commercial value.

About 3% of patents have a Patent Trials and Appeals Board hearing or litigation

Article 1, Clause 8 of the U.S. Constitution provides for a patent and trademark system

Length of time a patent lasts is 20 years plus extensions

Internal POA Notes for this page


https://www.dropbox.com/scl/fi/8vynngom6y2tqlrz5ixpj/Potential-Contributor-List.docx?rlkey=cmley0c22911bl57xxdjskl74&st=j32cqotn&dl=0



Reuters discussion re business intelligence

Henry Anderson Director, Digital Marketing & OMNI Channel Operations   Supernus Pharmaceuticals, Inc.
Jenna Monaster   Terumo  Interested in device vs. Pharma for BI
Haresh Keswani
Rajat Shukla     Citius    IT Solutions    "Data Swamp"

WhatFix   CRM
     Mihir Bhanushali
     Laura Sanchez
     Parth Thesia



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