Predictive analytics consulting

Predictive analytics consulting

Predictive analytics is a form of advanced analytics that helps define the probability of a certain action or event happening using current and historical data. The aim of predictive analytics consulting is to make accurate predictions through the enablement of statistical analysis and AI-driven techniques. Itransition builds tailored predictive analytics solutions for companies to increase their bottom lines with valuable insights.

in productivity due to timely equipment failures prediction


in marketing-spend efficiency with personalized product recommendations in place


in inventory costs due to accurate demand forecasting


Key applications of predictive analytics solutions 

Churn prediction
Detect at-risk customers, uncover the reasons for customer churn, and optimize your retention strategy.
Smart recommendations
Deliver personalized product suggestions to maximize cross-selling and upselling and expand your product exposure.
Predictive segmentation
Predict customers’ likelihood to make a repeat purchase, abandon a shopping cart, or stop buying from you to allocate them into segments and target with relevant marketing campaigns.
LTV modeling
Predict customer lifetime value to accurately identify your target audience and nurture long-term relationships with them.
Demand forecasting
Anticipate demand fluctuations to eliminate inventory shortages or overstock and decrease operational costs. 
Financial risks forecasting
Predict the creditworthiness of your contractors to minimize the probability of loss.
Pricing personalization
Optimize your pricing strategies and adjust prices in real-time based on customers’ shopping patterns and market conditions.
Predictive maintenance
Accurately predict equipment failures to reduce breakdowns, increase productivity, and reduce maintenance costs.

Looking to adopt predictive analytics?

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About Itransition

25+ years of expertise in data analytics consulting and solution engineering 

Proven expertise in artificial intelligence, data science and business intelligence

Strategic partnerships with Microsoft Azure and Amazon Web Services cloud platforms 

Adherence to relevant data protection laws and regulations

How we helped our clients

BI platform for predictive analytics


visitor-to-buyer conversion

We built an advanced analytics solution for an ecommerce company to analyze customer behavior in near-real time, forecast buyer conversion rates, and deliver personalized online user experience.

Advanced analytics solution for ad campaign optimization


overspending reduction

We developed a solution for a digital media company to simulate promotion campaigns and generate forecasts based on their results, as well as get AI-powered recommendations on marketing campaigns changes.

Predictive analytics use cases across industries

Predictive analytics use cases across industries
  • Predictive personalization
  • Customer lifetime value modeling
  • Predictive customer segmentation
  • Customer churn prediction
  • Predicting stock market anomalies
  • Cash flow forecasting
  • Credit risk scoring automation
  • Financial strategy development assistance
  • Employee retention prediction
  • Skill gaps forecasting
  • Disengaged employees prediction
  • Employee performance forecasting
  • Hospital readmission prediction
  • Personalized treatment plans generation
  • Patient deterioration prediction
  • Predicting disease outbreaks
  • Market trends forecasting
  • Inventory demand forecasting
  • Dynamic price optimization
  • Supplier risk forecasting
  • Equipment failure prediction
  • Demand forecasting
  • Remaining useful lifetime prediction
  • Predict emerging market trends
  • Safety stock levels forecasting
  • Predictive route planning
  • Demand fluctuations anticipation
  • Vehicle failure prediction
  • Property value prediction
  • Potential home buyers and sellers identification
  • Building occupancy forecasting
  • Predicting real estate market trends

Want to implement predictive analytics with Itransition?

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Predictive analytics tools and techniques we use

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++
ML frameworks and libraries
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Keras
  • Caffe
  • NumPy
  • pandas
  • seaborn
  • XGBoost
  • CatBoost
  • Matplotlib
  • NLTK
Data visualization
  • Microsoft Power BI
  • Tableau
  • Google Charts
  • Grafana
  • Chartist.js
  • Fusion Charts
  • Datawrapper
  • Infogram
  • D3.js
  • QlikView
  • Sisense
  • Excel
  • Streamlit
Data mining techniques
  • Tracking patterns
  • Classification
  • Regression
  • Outlier detection
  • Association
  • Correlation
  • Clustering
  • Dimensionality reduction
  • Data cleaning
Machine learning algorithms
  • Neural networks
  • Decision trees
  • Regression methods
  • Time series analysis
Types of machine learning algorithms
  • Supervised learning
  • Unsupervised learning
  • Reinforcement learning

Our predictive analytics development framework

Itransition’s specialists develop predictive analytics software from scratch and can take up your project from any stage, from solution planning and analysis to its deployment. As a predictive analytics service provider, we also render long-term support services for the implemented solutions to ensure its smooth functioning and on-demand scaling and improvement.


Requirements definition

Identification of business needs and objectives, user expectations and concerns

Assessment of the customer's technical environment

Definition of the solution's functional and non-functional requirements


Data analysis

Assessment of current data management workflows

Exploratory analysis of available data sources, both customer-owned and from public databases, to ensure it meets project goals



Solution's architecture design

Definition of the implementation strategy, algorithms, and techniques

Selection of the optimal technology stack

Project's timeline and budget setup



Data preprocessing, including cleaning, annotation, and transformation

Definition of the solution's evaluation criteria

Solution development in line with the selected implementation strategy


Integration and deployment

Solution integration into the customer's infrastructure

Solution launch into production

Technical and business documentation transfer to ensure the solution's correct operation and maintenance


Support and maintenance

Retraining and functional enhancement based on user feedback and new data from the production

Support of system operation under varying load

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.

Related services

Machine learning

Machine learning

Itransition delivers ML-based software solutions to process datasets, identify patterns and anomalies, and clarify the reasons behind poor performance and success.

Artificial intelligence

We create scalable AI-driven solutions to help you automate repetitive detailed-oriented tasks, enhance customer experience, and optimize business processes by accelerating evidence-based business decision-making.

Data science

Itransition provides end-to-end data science consulting services to help you leverage advanced technologies such as statistical algorithms, ML, and deep learning to mine your data for hidden insights, run root-cause analysis, forecast future outcomes, and more.

Business intelligence

We provide tailored BI solutions to integrate disparate data sources in an enterprise data warehouse and turn it into regular actionable insights, delivered to business users via interactive reports and dashboards.

Big data

Our team crafts big data business-oriented solutions to help you capture, process and analyze voluminous multi-type data to increase operational efficiency and accelerate the decision-making process.

FAQ about our predictive analytics consulting services

What engagement models do you offer?

At Itransition, we offer three engagement models for predictive analytics projects: a dedicated team, time and material, and a fixed-price model.

How much does a custom predictive analytics solution cost?

Predictive analytics project estimation is only possible after a thorough business needs analysis. For a ballpark estimate, you have to factor in multiple criteria, including:

  • Data-related attributes (data volume, type, quality, etc.)
  • The accuracy of predictive models
  • Approach and methodology, and more

To get a free quote, contact our consultants.

What if we don’t have enough data for a predictive analytics solution?

The more data you have and the more diverse it is, the better. In case data volume or quality is not satisfactory, we help you collect or reuse available data sets. 

Do we need to pay for the infrastructure to train predictive models?

No, we train predictive models on our instances.