Predictive Analysis
1. Industries from insurance to marketing use predictive techniques to make important decisions.
2. Predictive models help make weather forecasts, develop video games, translate voice-to-text messages, make customer service decisions, and develop investment portfolios.
3. Predictive analytics determines a likely outcome based on an examination of current and historical data.
4. Decision trees, regression, and neural networks all are types of predictive models.
5. People often confuse predictive analytics with machine learning even though the two are different disciplines.
Services
Manufacturing:Forecasting is essential in manufacturing to optimize the use of resources in a supply chain. Predictive modeling is often used to clean and optimize the quality of data used for such forecasts.
Credit: Credit scoring makes extensive use of predictive analytics. When a consumer or business applies for credit, data on the applicant's credit history and the credit record of borrowers with similar characteristics are used to predict the risk that the applicant might fail to repay any new credit that is approved.
Marketing:Marketing professionals planning a new campagn look at how consumers have reacted to the overall economy. They can use these shifts in demographics to determine if the current mix of products will entice consumers to make a purchase.
Fraud Detection:Supply chain analytics is used to manage inventory levels and set pricing strategies. Supply chain predictive analytics use historical data and statistical models to forecast future supply chain performance, demand, and potential disruptions.
Supply Chain: We are here to provide you end-to-end solutions for your requirements. We take clients' demands fulfillment on priority.
Support:We are not limited to the delivery of the project. We also provide support even after the delivery of the service. It helps us to maintain long-term relationships with clients.
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Arahan Technology,
Our goal is simple: to increase reach and engagement with your target audience, ultimately driving sales and building brand reputation.