Client

EdTech

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ConnectiTECH_Award-VLinkInc
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VLink Helps Global EdTech Company Upgrade its School Administrative Platform

VLink is providing the education software company's clients with a more intuitive, functional, and feature-rich suite of software services while not making the changes drastic enough that end-users feel lost. The enhanced platform is designed to leverage the opportunities made possible by the growth of cloud and mobility.

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Overview

A major EdTech company wanted to enhance its already successful Student Information System, it called on VLink to do the job. The two now are executing on a plan in which VLink embeds experts within the firm and are teaming to empower the SIS platform for the cloud and make it more intuitive, functional, and feature-rich–and grow the client’s customer base even higher than it is today.

Challenge

A major EdTech company wanted to enhance its already successful Student Information System.

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Solution Key Facts & Benefits

To develop and produce a healthcare app that can can customize to address different diseases or to track a variety of illnesses, conditions (such as high blood pressure or obesity) easily and quickly.

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The VLink team helped establish goals and chart a path for the client’s SIS evolution.

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The refreshed platform will enable the client’s educational customer base to continue thriving and growing as cloud and other technologies evolve.

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The initiative focused on the creation of a targeted team of about 12 VLink experts embedded in the client’s organization.

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VLink leveraged its deep relationships in the software industry to quickly replace departing team members.

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To learn more, please download the case study.

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Technology Stack Used

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Express JS

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NEXT JS

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Mongo DB

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FIGMA

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AWS

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Jenkins

EndResult

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To develop and produce a healthcare app that can can customize to address different diseases or to track a variety of illnesses, conditions (such as high blood pressure or obesity) easily and quickly.

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Our team succeeded in delivering a machine learning model that merged AI and IoT to improve the client's healthcare app. The ML algorithms enabled data crunching and data-based notifications for iOS

To learn more, please download the case study
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