Data Science

We will design and develop applications for your organization’s website. These applications are well-optimized for performance without sacrificing security.

The APIs developed at Orases provide businesses with the ability to run testing automations to check app performance, are able to integrate with multiple apps & systems and can be adapted to new processes & software.

If your product is using legacy software and needs to be updated, Orases will perform a complete refactor of the code. This will allow it to be faster and more customizable when attempting to use or update the program.

Our custom software developers are committed to eliminating bugs and issues with all types of software solutions and applications. We will work to keep your organization’s software up and running without problems.

Businesses that acquire custom audit software are able to improve efficiencies by automating audit-related processes. All custom audit software we develop adheres to all industry compliance regulations.

Organizations in fields that involve case work can benefit from case management software. Our case management software improves internal communication, information sharing between departments & report generation.

Our custom software development team develops cloud applications that use remote servers for processing logic, can be accessed through internet browsers and offers the same functionality of a native app with additional key advantages.

With CRM software, businesses are not only able to improve customer relationships but can also increase productivity, improve lead generation and strengthen their security.

We will develop an e-commerce application for organizations looking to sell their products online. These applications will enable companies to accept payments and handle every portion of commerce online.

Enterprise applications allow companies to conduct important business operations. We will assist your organization in the development of a custom enterprise application.

The custom ERP software solutions we develop have been proven to effectively consolidate data and streamline processes with advanced automations and integrations.

The grant management software solutions developed at Orases are designed to simplify the grant application process, provide advanced reporting capabilities and can integrate with existing CRM, BPM or ERP software systems.

Businesses and organizations which operate within HIPAA compliant industries are required to have secure applications which adhere to HIPAA compliance guidelines. We have years of experience developing secure and innovative HIPAA compliant applications.

By integrating inventory management software with a custom warehouse management system, organizations are able to view precise inventory levels, improve order management efficiency, and increase the accuracy of sales forecasting.

Regardless of the system your organization works with, our team will develop legacy software for you to use. We have extensive experience with a range of technologies & will work to create your application using the legacy software.

Software as a service (SaaS) allows companies to purchase your software on a subscription basis. Our team will develop a SaaS application to maximize your organization’s profitability.

We are able to integrate systems & applications that handle accounting, customer relationship management, content management, enterprise resource planning and reporting to provide businesses with seamless communications.

Through the implementation of a custom warehouse management system, supply chain organizations are able to optimize workflows, streamline processes, and view real-time data across all locations and points of the supply chain lifecycle.

The development team here at Orases has years of experience building highly custom web portals which focus on improving process efficiencies and enterprise-wide collaboration through user-centric features, advanced automations, and seamless third-party software integration capabilities.

Product quality services allow you to proactively identify production process deviations that could impact product quality and cause disruptions.

We can help you avoid costly repairs and equipment downtime by detecting issues early, improving productivity and cost savings.

By tailoring your offerings to each customer’s unique needs and preferences, we can help you increase customer satisfaction, loyalty, and retention.

Automated image analysis services help minimize human error in visual inspection, facial or emotion recognition, grading, and counting.

By detecting customers at risk of leaving, we can help you take proactive measures to retain them, such as offering personalized promotions or addressing their concerns.

By providing real-time insights into your sales pipeline and customer interactions, we can help you make data-driven decisions and optimize your sales process for increased efficiency and revenue growth.

We can help you improve delivery times and reduce transportation costs by considering multiple variables and delivering real-time recommendations.

Patient treatment optimization services involve identifying at-risk patients, enabling the personalized medical treatment, and predicting possible symptom development.

Financial risk assessment services involve forecasting project earnings, evaluating financial risks, and assessing a prospect’s creditworthiness.

“Orases successfully built efficiencies into our prototype and delivered a high-quality platform.”

“They’re honorable, reputable, and easy to work with. They genuinely care about the outcome and want to do a good job.”

“Orases built a platform that’s boosted productivity by about 30%…”

“Not only do they want to succeed, they strive to produce functionally and visually unique software.”

The main components of data science include data collection, data cleaning, data exploration and analysis, data modeling, and data interpretation.

Supervised learning involves training a model on labeled data, where the desired output is known. Unsupervised learning involves training a model on unlabeled data and finding hidden patterns or intrinsic structures in the data.

Cross-validation is a technique used to assess the performance of a model by dividing the data into subsets, training the model on some subsets, and testing it on the remaining subsets. This helps in understanding how the model generalizes to an independent dataset.

Missing data can be handled by techniques such as removing rows with missing values, imputing missing values using statistical measures like mean, median, or mode, or using algorithms that support missing values.

We explore the complex-yet-vital process of data migration, a primary step in upgrading legacy system modernization.

Thanks to the power of healthcare data analytics, healthcare practitioners can now identify high-risk patients before illnesses develop.