Data Science Services

Data science services help companies run experiments on their data in search of business insights. Geniobits renders data science consulting leveraging Machine Learning, Artificial Intelligence, and Deep Learning technologies to meet our clients’ most deliberate analytics needs.

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 and 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 and 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.

Use Cases Geniobits Covers with Data Science Services

Operational intelligence

Optimizing process performance due to detecting deviations and undesirable patterns and their root-cause analysis, performance prediction and forecasting.

Supply chain management

Optimizing supply chain management with reliable demand predictions, inventory optimization recommendations, supplier- and risk assessment.

Product quality

Proactively identifying the production process deviations affecting product quality and production process disruptions.

Customer personalization

Identifying customer behavior patterns and performing customer segmentation to build recommendation engines, design personalized services, etc.

Predictive maintenance

Monitoring machinery, identifying and reporting on patterns leading to pre-failure and failure states.

Customer churn

Identifying potential churners by building predictions based on customers’ behavior.

Image analysis

Minimizing human error with automated visual inspection, facial or emotion recognition, grading, and counting.

Financial risk management

Forecasting project earnings, evaluating financial risks, assessing a prospect’s creditworthiness.

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