Predictive analytics consulting

Predictive analytics consulting

Predictive analytics helps define the probability of certain outcomes by analyzing data with data mining, statistical modeling, and machine learning techniques. Itransition builds predictive analytics solutions to help companies find insights that nurture evidence-based decision-making.


an average increase in productivity due to timely prediction of equipment failures



a general increase in marketing-spend efficiency with personalized product recommendations in place



an achievable reduction in inventory costs due to accurate demand forecasting


How our predictive analytics solutions help grow your business

Churn prediction

Foster customer loyalty by uncovering the reasons for churn and optimizing customer journeys based on these insights.

Smart recommendations

Maximize cross-selling and upselling and expand your product exposure with custom recommendation engines delivering personalized product suggestions.

Pricing personalization

Optimize your pricing strategies by adjusting prices in real-time based on customers’ shopping patterns and market conditions.

Financial risks forecasting

Make smarter financial decisions by automating credit scoring and getting instant alerts of possible fraudulent activity.

LTV modeling

Retain most valued customers and nurture long-term relationships by automating your customers’ lifetime value calculation.

Customer segmentation

Personalize offers for each client and craft marketing campaigns accordingly by classifying customers based on demographics and spending habits.

Demand forecasting

Eliminate inventory shortages and overstock and decrease operational costs by anticipating demand fluctuations.

Asset downtime prediction

Maximize asset value and improve productivity by predicting equipment failures.

Are you looking for a tech partner to embrace predictive analytics?

Contact us

About Itransition

20+ years of expertise in data analytics consulting and solution engineering.

Solid expertise in Tableau, Power BI and Qlik platforms.

Strategic partnerships with Microsoft Azure and Amazon Web Services cloud platforms.

Adherence to relevant data protection laws and regulations.

Client spotlight

BI platform for predictive analytics


visitor-to-buyer conversion

Advanced analytics solution for ad campaign optimization


overspending reduction

Predictive analytics use cases across industries

Predictive analytics use cases across industries
  • Predictive personalization
  • Predictive segmentation
  • Customer lifetime value modeling
  • Customer churn prediction
  • Financial fraud detection
  • Cash flow forecasting
  • Credit risk modeling
  • Potential loss prediction
  • Employee retention prediction
  • Skill gaps detection
  • Disengaged employees identification
  • Employee performance forecasting
  • Hospital readmission prediction
  • Personalized treatment plans design
  • Patient deterioration prediction
  • Appointment no-shows forecasting
  • Market trends forecasting
  • Inventory demand forecasting
  • Dynamic price optimization
  • Supplier risk forecasting


  • Equipment failure prediction
  • Power consumption prediction
  • Remaining useful lifetime prediction
  • Process quality forecasting

Supply chain

  • Safety stock levels forecasting
  • Predictive route planning
  • Demand fluctuations anticipation
  • Vehicle failure prediction
  • Property value prediction
  • Predictive maintenance
  • Building occupancy forecasting
  • Potential home buyers and sellers identification

Our predictive analytics development framework

At Itransition, we develop predictive analytics software from scratch and can take up your project from any stage, from solution planning and analysis to its deployment. We also render long-term support 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

1. Requirements definition

Our predictive analytics consultants work closely with your business users 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.

2. Data audit & cleansing

We 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.

3. Predictive modeling

Data preparation

Based upon our audit, we define what 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, we experiment with features, add more data, do hyperparameter optimization as well as combine various 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 the 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.

Want to implement predictive analytics with Itransition?

Book a free consultation to discuss the details

Contact us

Predictive analytics tools and techniques we employ

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.

Programming languages

  • Python
  • R
  • C++
  • Java

ML frameworks and libraries

  • TensorFlow
  • Keras
  • MLlib
  • PyTorch
  • Scikit-learn
  • Apache MXNet
  • Caffe
  • MOA
  • Theano

Data visualization

  • Microsoft Power BI
  • Grafana
  • Datawrapper
  • QlikView
  • Tableau
  • Chartist.js
  • Infogram
  • Sisense
  • Google Charts
  • Fusion Charts
  • D3.js
  • Excel

Data mining techniques

  • Tracking patterns
  • Outlier detection
  • Clustering
  • Decision trees
  • Classification
  • Association
  • Sequential patterns
  • Prediction, etc.
  • Regression

Machine learning algorithms

  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning
  • Neural networks

Our predictive analytics development guidelines


Adhering to the requirements of ISO standards, Itransition 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.