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Modernize Enterprise Apps
Rapidly Modernize Your Enterprise Applications to Stay Ahead
Modernizing your organization’s legacy systems can often appear challenging. Veraqor provides comprehensive app modernization solutions to assist enterprises in optimizing their technology investments and get the best returns.
Overcoming Modernize Enterprise Apps Challenges
Transform Your Legacy Apps for Faster Development Cycles & Efficient Ops
With Veraqor’s App Modernization Solutions, creating enterprise-ready apps becomes a breeze. Transform and modernize applications for multiple platforms and effortlessly deploy them on a highly scalable cloud infrastructure. Simplify your cloud-driven app development process and embrace scalability.
Generating Business Value Across Industries
Enterprise cloud solutions that provide real-time, actionable insights.
Assisting COOs in Ensuring Long-term Equipment Effectiveness
This solution allows COOs to look after their equipment effectively, use sensor data and analytics, closely monitor their equipment performance in real-time, and predict when maintenance is needed. The cloud can fast-process vast volumes of data to extract real-time insights, leading to cost-effective and efficient operations.
Real-Time Monitoring of Environmental Factors & Human Safety
Through the cloud’s real-time processing, organizations can monitor any external environmental factors, such as air and water quality, enabling them to be aware of any potentially harmful impacts. This also helps companies ensure their workforce’s safety, avoiding any hazardous operations that may result in a catastrophe.
Presenting Information The Right Way
This solution helps gather and compile important data from the organization and present it through a dashboard. By bringing together all the IT asset information and developing relations with financial information, it provides complete health of the IT infrastructure that is critical to your business growth.
Helping CDOs & CTOs Manage Healthcare Data with Authority Through AI/ML
Leveraging AI and ML algorithms can help healthcare providers make sense of this vast amount of data, providing insights into patient outcomes, identifying patterns and trends, informing diagnosis and treatment recommendations, and managing the data better. These technologies can analyze large datasets of patient records, medical images, and genomic data to make these predictions and recommendations.
Assisting CIOs to Access Computing Resources & Control Hardware Costs for Faster Decision Making
The advancements in computing power and declining hardware costs have opened new possibilities in the healthcare industry. High-performance computing clusters can run complex simulations and model diseases, drug interactions, and clinical trials. This can enable healthcare providers to make faster and more accurate decisions, leading to better patient outcomes.
Ensuring Improved Partnerships & Collaborations
Collaboration and data sharing across multiple organizations are increasingly important in today’s healthcare industry. Establishing collaborative data-sharing platforms and networks can enable seamless data exchange and analysis across hospitals, research institutes, and pharmaceutical companies. This can accelerate research, improve treatment outcomes, and help identify new approaches to healthcare challenges.
Expediting Drug & Vaccine Development Process for Pharma & Biotech Companies
Developing new drugs or vaccines is time-consuming and costly for pharmaceutical and biotech companies. The use of AI technology can help expedite the drug discovery and development process. AI-powered algorithms can identify potential drug targets, predict drug efficacy and safety, and optimize clinical trial design, leading to faster drug development timelines and better patient outcomes.
The Scenario Allows CFOs to Understand Growth Avenues
The CFO is looking to comprehend the business performance across the key countries and regions. This particular demo presents usual finance department business scenarios explaining revenue growth and profitability, planning, analysis, and expense management.
The university faces identity management challenges due to new students entering and others graduating every year, sparking the onboarding and off-boarding of 10,000 to 15,000 identities. The university also has roughly 22,000 staff and faculty identities with diverse needs, complicating standardization.
The suggested solution was to unify the complexity created by Active Directory Federation Services (AD FS) with Azure AD. By doing this, the university could consolidate identity management with the rest of its Microsoft tooling and provide a more unified single sign-on (SSO) capability for faculty, staff, and students within the University of Illinois system.
The University of Illinois Urbana-Champaign (U. of I.) consolidated identity management by using Microsoft Azure Active Directory (Azure AD) to unify its sprawling estate of highly diverse users. With Azure AD, the university can use metrics collected in the cloud to make decisions at the time of authentication. Consolidating identity management with the rest of its Microsoft tooling allowed the University of Illinois Urbana-Champaign to provide the convenience of a unified single sign-on (SSO) capability for faculty, staff, and students within the University of Illinois system. This further elevated security and positioned the university for more advanced methods like implementing password-less authentication.
The issue that Vodafone was facing was that its software engineering work across the company was supported by disparate systems, with different source repositories, change control systems that relied on Word documents and a stasis-inducing attitude to risk and compliance.
The use of Azure DevOps and GitHub, which allowed Vodafone to streamline and automate their coding, testing, and development processes. This has resulted in a 40% time saving in the global web engineering team and more than 50% time saving in the global app engineering team. In addition, the use of these tools has resulted in a four times increase in developer productivity, without a commensurate increase in headcount.
Vodafone has been able to respond rapidly to customer requirements on digital channels, which is increasingly important as digital channels account for a larger share of customer interactions. The use of Azure DevOps has enabled Vodafone to move to a completely remote planning process and to experiment and iterate quickly on product development. The business is now beginning to embrace this functionality and is funding teams instead of funding specific projects or deliverables.
The problem that the Cambridgeshire and Peterborough NHS Foundation Trust faced was the need to migrate more than three million clinical documents, plus structured data from the previous EPR system, in over 300 user-defined data capture forms to a new EPR platform. The Trust held legacy data from 1997 to 2013 in its clinical data library, data from 2013 to 2020 in its existing RiO EPR system, and in an associated on-premises data warehouse.
Cambridgeshire and Peterborough NHS Foundation Trust migrated more than three million clinical documents and structured data from the previous electronic patient records (EPR) system, held from 2013 to 2020, to Microsoft Azure and Azure Cognitive Search. They put all the data into a cloud storage solution to make it available to clinicians. The Trust moved most office workloads and file storage from on-premises server rooms to Microsoft Azure, SharePoint, and OneDrive.
Cambridgeshire and Peterborough NHS Foundation Trust was able to migrate more than three million clinical documents from its legacy data and 2013 to 2020 data to a new EPR platform in just four months, using Microsoft Azure’s cloud technology. The solution was developed in-house by the Trust’s IT team, with support from Microsoft’s Fast Track team. The project boosted the skills and engagement of the Trust’s IT team and created a better, cheaper solution that also provided new search capabilities, such as the ability to search handwritten notes using Azure Cognitive Search.
SPAR NL had a legacy of omnichannel retail systems and custom point-of-sale add-ons that made it challenging to stay on top of industry trends. The architecture did not allow them to create a best-of-breed architecture where they can make changes when something better comes on the market, like a food service solution or online delivery opportunity.
SPAR NL and HSO replaced the old message-brokering system with a custom solution built on an Azure server-less computing platform with seamless integration services. They created an event-driven, server-less Azure integration platform that connects existing on-premises services and scalable cloud apps. The new platform gave SPAR the agility it needs to respond much faster to changes while providing end-to-end monitoring for quick diagnostics and insights. This Azure integration solution made it possible to get an order right, get the scalability right, and get an order directly to the right systems.
SPAR NL was able to replace several legacy systems, including a pivotal automation solution that was not available as a cloud service. With the event-driven, server-less Azure integration platform, SPAR NL could connect existing on-premises services and scalable cloud apps, enabling the company to respond faster to changes while providing end-to-end monitoring for quick diagnostics and insights. The new solution allowed SPAR NL to get an order right, get the scalability right, and get an order directly to the right systems. The system’s transparency and monitoring capabilities provided the IT team with an overview of where the data was heading and where the errors were popping up.