AIMResearch’s Penetration and Maturity (PeMa) Quadrant for Data Science Service Providers—a reliable industry standard to
evaluate vendor competencies aids businesses in choosing the most suitable Data Science service provider aligned to their
business needs. The PeMa report aims to empower decision-makers with the knowledge required to select the right Data Science
service provider for their unique needs. Through an exploration of market dynamics and vendor profiles, we provide a
comprehensive map for navigating the Data Science landscape, ensuring that organizations can harness the full potential of Data
Science to transform their operations and stay competitive in the digital age.
01
Customization and Tailored
Solutions
02
Organizations often require customized models or
solutions that off-the-shelf products might not
provide. Service providers can build and fine-tune
these models to meet specific requirements.
For example, vendors like Akaike and Artivatic are
streamlining services on top of their flagship
platforms, enabling organizations to accelerate
their data initiatives.
Service providers offer end-to-end project
management, ensuring that all aspects of a Data
Science project are handled efficiently with
continuous or on-demand support. For example,
Fractal Analytics provides comprehensive data
science services, from strategy to implementation.
Their services include data science consulting,
model development, training, and deployment.
End-to-End Project Execution
03
Businesses often struggle to recruit data scientists
with the necessary skills and experience for a
critical project. Service providers can quickly
provide the right talent, ensuring that the project
proceeds without delays. For Example, beyond
academic qualifications, EXL places a significant
emphasis on practical experience and specialized
skills and certifications that are crucial for
advancing their Data Science capabilities.
Bridging the Talent Gap
04
Building in-house Data Science capabilities for complex
projects can be prohibitively expensive and time-
consuming. Service providers offer a cost-effective
alternative by bringing in the required expertise and
resources on demand. For example, by continuously
upgrading the models developed a few years ago to the
latest versions of programming languages, Think
Analytics (Think360.ai) drastically reduces TAT and the
cost of model deployment for their clients.
Cost-Effectiveness for Complex
Projects
Significance of Data Science
Service Providers
AIM Research’s PeMa Quadrant
RESEARCH
Data Science Service Providers
PeMa 2024
06