Realise the full potential of data to perform advanced analytics
Develop analytics assets that can be reused for faster decision-making.
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Axtria’s analytics industrialization offer
Axtria’s Analytics Industrialization offering introduces standardized Life Sciences-specific solutions that democratizes analytics, putting the power of data scientists into the hands of the business decision-makers. The offer allows for the collaborative development of analytic assets that can be stored in a library for reuse and sharing, moving insights to the point of decision-making across diverse personas within the business.
Pre-built analytics assets
Reusable business assets that save time, effort, and resources, when building analytic solutions.
- Commercial Life Sciences analytics assets for Marketing, Sales, specialty
- Multiple utilities to perform common analyses like deciling, and clustering each tuned to the specifics of Life Sciences uses
Analytic model development
Define, visualize and manage the development of an extensive set of analytic models. Make specific business decisions or answer business questions driven by quantitative data.
- Define mathematical models that are used to capture multiple elements of the Life Sciences commercial and clinical ecosystems
- Get a holistic visualization of the model to better align the solution to your business needs and ensure that it is operating on the data it processes correctly
Workflow management
Overall efficiency, rapid re-use and modification, of past work to meet current requirements.
Easily manage model
- Creation
- Storage
- Dissemination
Data discovery
Enabling consolidation of all business information into a single view and more easily find what you are looking for
- Scanning your environment and determine where data (both structured and unstructured) resides
Data visualization
Easily identify trends, patterns, and outliers within large data sets by making the data more natural to comprehend
- Get a clear idea of what the information means by giving it visual context through maps or graphs
Data wrangling
Make the data more appropriate and valuable for a variety of upstream purposes such as analytics
- Transform and map data from one “raw” data form into another format
Personas
Direct users
- Data Scientist
- Data Engineer
Capability Consumers
- Business Analyst
- Analytics Leader
Customer success stories
Case Study
Driving $25 Million Impact with a Data Science and Analytics Center of Excellence
Case Study
8% Jump in Revenue With an Axtria MarketingIQ - based Global Marketing Mix Solution
Case Study
Data Analytics-driven Roster And Alignment Optimization For A Major Medtech Company
Resources
Blog
Unveiling the Dynamics: Promotional Blackouts and Their Influence on Baseline Sales
Promotional blackouts, defined as strategically timed periods during which marketing promotions are intentionally withheld, have emerged as a noteworthy component of contemporary marketing ...
Webinar
Dynamic Targeting: The Key to Superior Customer Engagement and Improved Brand Reach
Datasheet
Make the right business decisions with insightful field reporting and analytics
Industry Primer