Aroha

Web Application & Website

At Aroha, we excel in crafting dynamic web applications that cater specifically to your business requirements. Our team harnesses the latest web technologies to ensure high performance and user engagement. From intuitive user interfaces to seamless backend integration, we prioritize quality and innovation throughout development. Partner with us to transform your digital presence into a competitive advantage.

Services

Ecommerce Platform

E-commerce is the buying and selling of goods and services online using technology and digital platforms. It includes various models like Business-to-Consumer (B2C), where businesses sell directly to individuals; Business-to-Business (B2B), involving transactions between companies; and Consumer-to-Consumer (C2C), where consumers sell to each other via platforms like eBay. E-commerce offers global reach, cost efficiency, and convenience, with examples such as online retail stores, digital marketplaces, and food delivery apps. It has revolutionized the way we conduct transactions, making shopping accessible anytime, anywhere.

Educational Platform

Creating an educational platform involves several key steps. Start by defining your niche and audience, such as K-12, higher education, or professional development. Choose a business model like subscription or pay-per-course and develop high-quality content. Select a technology stack for web development and design user-friendly interfaces with strong security measures. Build essential features, integrate payment gateways, and thoroughly test your platform before launching and marketing it to reach your target users.

Health Care

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.

Finance

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.

Data Services

Tools and Technologies Supporting Our Services :

IBM
hadoop
SQL Server
Mango-DB
MySQL
Oracle
Postgre SQL
Sybase

Mobile Application

Aroha specializes in building robust mobile applications that enhance user experience and drive business growth. Leveraging cutting-edge technologies, we deliver scalable solutions tailored to your app’s unique functionalities. Whether it’s iOS, Android, or cross-platform development, we focus on creating intuitive interfaces and optimizing performance. Join forces with us to turn your mobile app idea into a reality that captivates users and achieves your goals.

Services

Ecommerce Platform

Our company is proficient in both the Bill Inmon’s CIF approach to Enterprise Data Warehousing and Ralph Kimball’s Data Mart approach. CIF follows a top-down method, providing comprehensive raw materials for flexible modeling and reporting. Data Mart, in contrast, adopts a bottom-up approach, focusing on predefined problems and specific outcomes. Our data team selects the appropriate model based on organizational resources and project requirements.

Educational Platform

Learn to handle business events, transactions, social, and market data using RDBMS, NoSQL, and cloud file storage. Master Python and its libraries to process datasets according to application needs. Build robust data pipelines for enterprise-level analysis, integration, cleansing, and exception handling. Become a proactive and productive Data Engineer ready to excel in any company.

Health Care

Healthcare apps, or mHealth apps, enhance patient engagement and convenience by falling into two main categories: health apps for managing specific conditions and wellness apps for overall well-being. Benefits include improved access to care, reduced costs, and personalized treatment. Key features patients seek are user-friendly interfaces, data security, real-time monitoring, and telehealth capabilities. Notable examples include MDCalc for clinical decisions, Headspace for meditation, and Medscape for medical information. The healthcare app landscape is rapidly evolving, offering innovative solutions to meet diverse patient needs.

Finance

Developing a finance mobile app involves several crucial steps: conducting market research to understand user needs and trends, designing a user-friendly and intuitive interface, ensuring robust backend development for secure authentication and data handling, rigorously testing for performance and security, and maintaining the app with regular updates. Notable financial apps like Albert, Brigit, and Chime offer various features such as loans and financial tools, highlighting the diverse needs in the finance app market. Effective development combines user insights with strong security practices and seamless functionality.
Data Services

Tools and Technologies Supporting Our Services :

IBM
hadoop
SQL Server
Mango-DB
MySQL
Oracle
Postgre SQL
Sybase

Web Application & Website

At Aroha, we excel in crafting dynamic web applications that cater specifically to your business requirements. Our team harnesses the latest web technologies to ensure high performance and user engagement. From intuitive user interfaces to seamless backend integration, we prioritize quality and innovation throughout development. Partner with us to transform your digital presence into a competitive advantage.

Data Services

Services

Ecommerce Platform

Our company is proficient in both the Bill Inmon’s CIF approach to Enterprise Data Warehousing and Ralph Kimball’s Data Mart approach. CIF follows a top-down method, providing comprehensive raw materials for flexible modeling and reporting. Data Mart, in contrast, adopts a bottom-up approach, focusing on predefined problems and specific outcomes. Our data team selects the appropriate model based on organizational resources and project requirements.

Educational Platform

Learn to handle business events, transactions, social, and market data using RDBMS, NoSQL, and cloud file storage. Master Python and its libraries to process datasets according to application needs. Build robust data pipelines for enterprise-level analysis, integration, cleansing, and exception handling. Become a proactive and productive Data Engineer ready to excel in any company.

Health Care

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.

Finance

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.

Tools and Technologies Supporting Our Services :

IBM
hadoop
SQL Server
Mango-DB
MySQL
Oracle
Postgre SQL
Sybase

Mobile Application

Aroha specializes in building robust mobile applications that enhance user experience and drive business growth. Leveraging cutting-edge technologies, we deliver scalable solutions tailored to your app’s unique functionalities. Whether it’s iOS, Android, or cross-platform development, we focus on creating intuitive interfaces and optimizing performance. Join forces with us to turn your mobile app idea into a reality that captivates users and achieves your goals.

Data Services

Services

Ecommerce Platform

Our company is proficient in both the Bill Inmon’s CIF approach to Enterprise Data Warehousing and Ralph Kimball’s Data Mart approach. CIF follows a top-down method, providing comprehensive raw materials for flexible modeling and reporting. Data Mart, in contrast, adopts a bottom-up approach, focusing on predefined problems and specific outcomes. Our data team selects the appropriate model based on organizational resources and project requirements.

Educational Platform

Learn to handle business events, transactions, social, and market data using RDBMS, NoSQL, and cloud file storage. Master Python and its libraries to process datasets according to application needs. Build robust data pipelines for enterprise-level analysis, integration, cleansing, and exception handling. Become a proactive and productive Data Engineer ready to excel in any company.

Health Care

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.

Finance

Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.

Tools and Technologies Supporting Our Services :

IBM
hadoop
SQL Server
Mango-DB
MySQL
Oracle
Postgre SQL
Sybase