Predictive analytics

Utilizing statistical algorithms, machine learning methods, and historical data, predictive analytics determines the probability of future events. It is a valuable tool in machine learning that aids in predicting risks, consumer behavior, and business trends. The process usually involves gathering data, preparing it, selecting a model (such as a neural network, regression, or decision tree), training the model, validating it, and deploying it. Predictive analytics commonly uses systems like IBM SPSS, Microsoft Azure, Google Cloud's AI Platform, and programming languages like Python with libraries such as scikit-learn, R, and SAS. These techniques enable predictive modeling and effective data processing.

A wide range of industries, especially the healthcare sector, benefit from predictive analytics as it enhances decision-making and outcomes. It helps optimize treatment plans, predict patient outcomes, and reduce hospital readmissions. Predictive models enable early interventions for individuals at risk of chronic diseases. The financial sector benefits from fraud detection and risk management; the retail sector gains from demand forecasting and personalized marketing; the manufacturing sector benefits from predictive maintenance; and the logistics sector optimizes supply chains. By forecasting demands and trends, predictive analytics improves customer satisfaction, reduces costs, and increases efficiency in all these industries.

At smartData, we have developed machine learning models in healthcare (predicting the probability of a person having heart disease), the real estate industry (predicting house prices in Boston based on provided specifications), churn prediction in the telecom industry, and customer buying behavior.

Our expertise in machine learning spans predictive analysis using text, images, and computer vision. We use open-source tools like Python and its libraries to generate high-accuracy models for prediction.

Recent Portfolio Projects

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Predictive Dialling Telemarketing

Predictive Dialling Telemarketing

Predictive Dialing system has been developed for Australia based Real Estate & Financial Services provider. The main objective of this system is to increase efficiency of business operation by 35%-40% by managing calls based on predictive dialing concept. By eliminating delaying factors like no answer, wrong calls, dnc, etc. automatically, system is connecting telemarketing team with available customers directly, hence an increase in productivity.

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Predictive Technology Stocks

Predictive Technology Stocks

In this portal, we can constantly view the stocks going up and down. We can keep an eye if stocks last price, velocities, and triggers that are going up or down live using the Lex API.

 

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What our clients says about smartData

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John Bonardelli

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smartData Benefits

Global Talent Pool

We boast nearly 1,000 highly skilled developers strategically positioned across three offshore locations, enabling us to deliver world-class software solutions. 

Proven Track Record

With a proven track record of delivering over 10,000 diverse software applications worldwide, we have honed our expertise to perfection.

Worldwide Presence

smartData Enterprises boasts a robust global footprint, with a strong foothold in key regions such as the US, Australia, Europe, and Japan.

CMMI/ISO certifications and accreditation

smartData’s CMMI Level 3 and ISO 9001:2015 certifications showcase our commitment to quality and consistency, with a focus on client success. As we aim for CMMI Level 4, we’re driving greater efficiency and innovation.