Data Science Services

Improve your business performance by unlocking the value of Data Science. Build a smoothly functioning data science solution tailored to your unique business needs.

Talk To An Expert

Machine Learning

Programming Languages

Data Visualisation

Cloud Storage

Sneak Peek Tech

Data Science Services

The telecommunication industry being the one attracting almost the most significant number of users every day is a vast field for fraudulent activity.

Predictive analytics is applied by telecommunication companies to get valuable insights to become faster, better, and make data-driven decisions.

The key to success for telecommunication companies is to segment their market and target the content according to each group.

Acquiring a customer is a challenging task. Keeping the customer engaged requires a lot of effort as well.

Customers tend to search for better and cheaper services, therefore, it is important for telecommunication companies to measure, manage predict the customer lifetime value (CLV).

Telecommunication companies tend to regard the customer’s engagement process and internal channels as a guarantee of smooth functioning of the operations.

Product development is a complex process that needs control and thoughtful management starting from the stage of concept development till ongoing lifecycle management and maintenance.

Recommendation engines are present in all the spheres of our digital lives. The telecommunication sphere is among these aspects.

The telecommunication sphere is under constant change due to the increasing role of Internet services.

The telecommunication industry is famous for its long-term experience in dealing with significant data streams for years.

What Our Data Science Services Include

1

Business Needs Analysis.

Outlining business objectives to meet with data science.
Defining issues with the existing data science solution (if any).
Deciding on data science deliverables.

2

Data Preparation.

Determining data source for data science.
Data collection, transformation and cleansing.

3

Machine Learning (ML) Model Design & Development.

Choice of the optimal data science techniques and methods.
Defining the criteria for the future ML model(s) evaluation.
ML model development, training, testing, and deployment.

4

ML Model Evaluation & Tuning.

5

Delivering Data Science Output in an Agreed Format.

Data science insights ready for business use in the form of reports and dashboards.
Custom ML-driven app for self-service use (optional).
ML model integration into other applications (optional).

6

User & Admin Training, Data Science Support Consultations.

Cooperation Models we Offer

Easy access to the required experience or resources.
Building a smoothly functioning data science solution tailored to your unique business needs.

Strategic and tactical guidance.
Overcoming problems (noisy or dirty data, inaccurate predictions, etc.) in a data science project.

Continuous support and evolution of your data science initiative to increase the quality of insights.
Adjusting the ML models to the changing environment.

No investment in in-house data science competencies.
Getting advanced data analytics insights derived with data science technologies or enhancing the existing data science initiatives.

Data Science as a Service

Data science as a service allows companies to get business insights leveraging advanced analytics technologies, including deep learning, without investing in in-house data science competencies.