In the pursuit of digital intelligence in healthcare, pharma and medtech companies have accumulated large amounts of information data and business reports. However:
- Some data is scattered across different systems and cannot form effective connections.
- Many reports are single-dimensional and cannot comprehensively or objectively reflect engagement effectiveness and customer insight.
MeDomino Solution
01 Understand group engagement effectiveness from trends and conversion in key indicators
a. Use customer mindset as the starting clue to clarify trends and internal conversion logic in customer mindset changes.
b. Then divide data across dimensions such as time, BU, and TA, explore engagement across different channels and dimensions, and analyze the engagement behind changes in combination with customer mindset.
02 Expand channel-engaged user profiles to understand reached audiences
Convert HCP engagement data into physician attribute information and clarify all characteristics of reached users, such as physician level, physician mindset, department, city tier, and market type.
03 Present hospital-level business data and cover physician characteristic information
Assist and guide relevant business personnel in advancing strategy.
04 Reorganize omnichannel engagement data to form effective HCP profiles, clarify individual characteristics, and achieve precise reach
a. Present HCP engagement data within the system on a timeline by engagement channel or type, providing reference for different departments and showing whether repeated engagement has occurred across departments.
b. Present metrics from different engagement channels to understand HCP feedback to each channel and provide reference for engagement strategy.
c. With physician tags and external data, understand HCP profiles more comprehensively and maximize precise insight and proactive marketing.
Summary
To borrow a precise phrase: digital transformation originates from value, starts with business, succeeds through data, and ultimately depends on the organization.
The foundation of successful digital transformation is accurately identifying business value, and success depends on whether data is fully used. By correctly defining goals and value, enterprises can move away from the contradiction between endlessly expanding digital and data development demands and limited fragmented data and digital productivity, entering a lean, value-driven, data-driven stage where the organization becomes the strongest support for the business.
