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
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
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.
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.).
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.
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.
We help you adopt best data quality management practices and implement cost-effective solutions to automate data validation, data cleansing, data profiling, etc.
Learn how AI is used in cybersecurity to detect and prevent threats, what the future holds for the technology, and its implementation tips for companies.