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
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.
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
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.
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.
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.
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.
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.
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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.
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