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.
25%
an average increase in productivity due to timely prediction of equipment failures
Deloitte
30%
a general increase in marketing-spend efficiency with personalized product recommendations in place
McKinsey
50%
an achievable reduction in inventory costs due to accurate demand forecasting
McKinsey
How our predictive analytics solutions help grow your business
Are you looking for a tech partner to embrace predictive analytics?
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.
Predictive analytics use cases across industries
Marketing
- Predictive personalization
- Predictive segmentation
- Customer lifetime value modeling
- Customer churn prediction
Finance
- Financial fraud detection
- Cash flow forecasting
- Credit risk modeling
- Potential loss prediction
Human resources
- Employee retention prediction
- Skill gaps detection
- Disengaged employees identification
- Employee performance forecasting
Healthcare
- Hospital readmission prediction
- Personalized treatment plans design
- Patient deterioration prediction
- Appointment no-shows forecasting
Retail and ecommerce
- Market trends forecasting
- Inventory demand forecasting
- Dynamic price optimization
- Supplier risk forecasting
Manufacturing
- 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
Real estate
- 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?
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Machine learning consulting
Itransition delivers ML-based software solutions to process datasets, identify patterns and anomalies, and clarify the reasons behind poor performance and success.
Data science consulting
Itransition provides end-to-end data science consulting services to help you leverage advanced technologies such as ML, AI and deep learning to mine your data for hidden insights, run root-cause analysis, forecast future outcomes, and more.
Big data services
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.
Data management services
We offer full-cycle data management services to provide you with an efficient data management framework centered around your business needs.
Business intelligence services
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.
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
Compliance
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 cases
