Predictive Analytics

At Artctic Fox, we develop predictive analytics software from scratch and can take on your project from any stage, from solution planning and analysis to its deployment. We also render long-term curation services for the implemented solutions to ensure its smooth functioning and on-demand scaling and improvement.

  1. Requirements definition
  2. Data audit & cleansing
  3. Predictive modeling

Requirements definition

Our predictive analytics consultants work closely with your business experts to study your specific business needs and objectives, expectations and concerns, and define functional and non-functional requirements for the solution-to-be together with a set of KPIs.

Data audit & cleansing

Artic Fox will assess your current data aggregation and processing workflows to find efficiencies and opportunities for growth and suggest improvements to your data management setup. Along the way, we help detect any quality and consistency issues within your existing datasets to ensure only accurate data is used in the predictive analytics processing.

Predictive modeling

Every step of our application development process is strategized to provide maximum value to the end users.

Data preparation

Based upon our audit, we define what current and historical data will feed the algorithms and integrate it from the sources. After that, we perform the exploratory data analysis and process it to ensure the data format, type, and quality meet the project’s goals. As a final step of the preparatory stage, we split the refined data into training, validation, and test sets.

Model building

We select the optimal algorithm, build and tune a model until the results are acceptable. To achieve the balance between a model’s precision, accuracy and transparency, our data scientists experiment with features, add more data, do hyperparameter optimization as well as combine various data modeling techniques, with classification, regression, neural networks among them.

Model Deployment

To share the results derived out of processed data with business users, we create interactive reports and dashboards. Additionally, we may embed predictive analytics models into intelligent apps, operational applications or data management solutions for self-service usage. You can also rely on us to make continuous post-deployment improvements as needed.

Predictive Analytics Tools and Techniques

As an experienced predictive analytics software vendor, we develop software leveraging all major programming languages and platforms available on the market and continuously expanding our tech stack with the new ones.

What We Use

Programming languages
  • Python
  • R
  • C++
  • Java
  • SAS
Data visualization
  • Microsoft Power BI
  • Grafana
  • Datawrapper
  • QlikView
  • Tableau
  • js
  • Infogram
  • Sisense
  • Google Charts
  • Fusion Charts
  • js
  • Excel
Machine learning algorithms
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Neural networks
ML frameworks and libraries
  • TensorFlow
  • Keras
  • MLlib
  • PyTorch
  • Scikit-learn
  • Apache MXNet
  • Caffe
  • MOA
  • Theano
Data mining techniques
  • Tracking patterns
  • Outlier detection
  • Clustering
  • Decision trees
  • Classification
  • Association
  • Sequential patterns
  • Prediction, etc.
  • Regression

Our predictive analytics development guidelines


Adhering to the requirements of ISO standards, Artic Fox delivers predictive analytics solutions that are fully compliant with industry and legal requirements (HIPAA, GDPR, PCI DSS, etc.).

In-product analytics

We equip the predictive analytics solutions with analytics to aggregate feedback and information on how people use the solution, test and evaluate new features, detect usage patterns, and plan and prioritize changes based on this data.

Data safety

When delivering predictive analytics solutions, we help you protect your data assets by implementing comprehensive data security policies, such as dynamic data masking, end-to-end data encryption, role-based access control, etc.

Data quality

We help you adopt best data quality management practices and implement cost-effective solutions to automate data validation, data cleansing, data profiling, etc.

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