Decoding Liferay DXP Product Offerings- Helping Enterprises Make Informed Decisions 

Decoding Liferay DXP Product Offerings- Helping Enterprises Make Informed Decisions Avakash Dekavadiya SaaS Applications are Driving Enterprise Digital Transformation: The world is moving towards Cloud Computing as it remains the cornerstone for cybersecurity, data and system accessibility, and digital innovation for enterprises. One of the best ways enterprises can adopt cloud computing is by employing SaaS or PaaS platforms.   Since SaaS applications are managed and updated by the provider and the fact that all the ideal SaaS platforms can be custom-tailored based on industry, market, and business requirements, SaaS platforms have become the go-to solution for enterprises of all sizes aiming for digital transformation.  In a survey, it was found that from 2015 to 2023, the number of IT-sanctioned SaaS apps increased tenfold. Because of the personalization and faster implementation of SaaS applications compared to custom development, it is also expected that by 2025, 85% of business apps will be SaaS-based. (Source)  Liferay’s Vision with DXP- rapidly moving towards SaaS with Liferay Experience Cloud (LXC)!  Liferay’s Vision with DXP- rapidly moving towards SaaS with Liferay Experience Cloud (LXC)! Liferay as a Digital Experience Platform has been providing enterprises with a comprehensive solution that enables them to embark on a seamless digital transformation journey. Recognized by Garter for 12 years as a challenger in the DXP solution niche, Liferay has been praised for its completeness of vision and ability to execute complex projects for large enterprises that have legacy systems, defined hierarchies, and complex workflows.   To keep their solution relevant and to enable enterprises with an end-to-end solution, Liferay has been taking a SaaS-first approach for their DXP ecosystem and creating a comprehensive SaaS solution with Liferay Experience Cloud (LXC).  The LXC changes: While previously Liferay dealt with 3 different offerings of DXP Core, DXP commerce, and Analytics cloud, no matter what subscription you buy, the organizations would get access to all three offerings. Also, when organizations opt for LXC, Liferay itself manages: Products & Product Support Application Uptime SLA Platform Software Architecture Auto-Scaling Failure Detection / Auto-Failover Load Balancing Upgrades Weekly Updates Patches, Security Hotfixes Software Troubleshooting Security Scanning / SAST / DAST But, unlike other SaaS offerings, since Liferay has always believed in providing optimum personalization and customization to business enterprises, customers when they opt for LXC get complete freedom of developing their own business applications on top of the Liferay backend architecture. Apart from LXC, Liferay will also have the following 2 deployment options available for customers: Liferay DXP Self-hosted: For organizations that couldn’t host their solutions on the public cloud or have stringent regulatory compliances to manage, they can opt for Liferay DXP capabilities with Liferay Self-hosted. As the name suggests, with Liferay self-hosted you get access to the DXP software but apart from that, they will have to manage all other aspects internally. Right from infrastructure to software, security, and functional updates, everything must be taken care of by the customers.  Liferay Self-managed: For organizations that wish to manage the security aspect of their platform themselves but can integrate a SaaS DXP for business processes and infrastructure, the best option for such businesses would be Liferay Self-managed PaaS which was previously available to customers as DXP cloud. In this option, Liferay provides their architecture, product and product support, software, and infrastructure but customers will not get access to the regular updates, upgrades, and security patches that Liferay releases for SaaS customers. To help businesses make an informed decision, here are certain factors to consider while making the initial decision-making for employing Liferay in their business:  Factors to consider while opting for Liferay deployments: Access to Infrastructure: For organizations that do not wish to make preliminary investments in infrastructure development and team building timeline but still require a state-of-the-art infrastructure that is well managed, secure, and frequently updated, such organizations must opt for LXC SaaS. But, for industries where organizations have complex regulatory requirements and need to have complete access to their infrastructure, they can opt for PaaS or DXP self-hosted. Also, for industries where they frequently must update their systems and change their workflows with new trends and market demands, they must opt for PaaS for better infrastructure control. OSGi and Java Customizations: There is no need for an IT team or DXP technical requirements in terms of OSGi and core Java capabilities in LXC. Liferay DXP consulting and implementation partners can easily use JavaScript frameworks and deploy UI with other supporting technologies. But, for organizations that require custom business applications that can be built using OSGi and Java, they will have to opt for DXP Self-managed or DXP self-hosted. Need for Data Control: While Liferay has OOTB data compliances for the majority of mainstream industries such as Manufacturing, Insurance, Retail, Finance, Healthcare, and others, for niche and regulated industries where they have custom Data Control and security measures to be adhered to, they will have to host DXP on their environment to manage data control and data security compliances effectively. OOTB Functions availability: Liferay has been expanding its No-code Low-code architecture access along with security compliances and functional as well as role-based workflow management for many industries and creating Out Of The Box (OOTB) functions for their customers. Along with that, future updates and security patches would also come in alignment with these customer segments. Thus, organizations in industries such as Manufacturing, Insurance, BFSI, Healthcare, Public Sector Units, and others looking to get the latest solutions with minimal turnaround time for implementation would benefit the most from Liferay LXC and its SaaS offerings. AIMDek- your trusted Liferay DXP Consulting Partner: While these factors and Liferay Product offerings provide an overview of Liferay and its capabilities, to truly understand how you can yield optimum ROI from your Liferay investment and how you can custom-tailor DXP for your organization, get on a call with our DXP consultants and let’s embark on a seamless digital transformation journey together.   skip render: ucaddon_next_prev_post

Benefits of Enterprise DXP Platform for Intelligent Underwriting and Connected Claims in Insurance

Benefits of Enterprise DXP Platform for Intelligent Underwriting and Connected Claims in Insurance Avakash Dekavadiya The need for technology modernization in Insurance: With the increasing technology innovation challenges from Insurtech, changing and evolving customer expectations, the introduction of Fluidless Underwriting, and another such phenomenon, the insurance industry is undergoing a significant digital transformation. Many digital native platforms around insurance are created for digital insurance, conventional insurance comparisons and review platforms, and claims and informative platforms. With the increasing trend, new technologies, and growing adaptation of technology, conventional insurance companies need a strong Digital Experience Platform that can cater to modern-day requirements as well as conventional insurance culture and workflows. To compete with digital native platforms, insurance companies required a strong technology infrastructure that can break silos, integrate all the conventional insurance systems, and yet provide a strong content, experience, and user management architecture that can deliver modern-day digital experiences. Underwriting and Claims management the center of customer acquisition for insurance: With the growing competition, insurance companies have been relying on personalized digital experiences and personalized services to create a strong, seamless, and effective customer acquisition strategy. Because of this, the need for strong analytics, personalized customer, and agent portals as well as united and integrated platforms have increased. For instance, thirty-seven percent of life underwriters say a lack of information/analytics at the point of need impacts their ability to achieve business objectives. Also, shortage of data and analytics talent is seen by one-third of the surveyed insurers as one of the top challenges in developing and scaling an effective AA strategy. Liferay DXP- A Leader in the Gartner® Magic Quadrant for Digital Experience Platforms: To help insurance enterprises create personalized digital experiences, break system silos and deliver effective claims management and underwriting services, Liferay has been a preferred Digital Experience Portal for insurance. With the help of OOTB insurance modules of Liferay and the expertise of Liferay DXP consulting for insurance from domain-experienced Liferay DXP consultants, insurance enterprises can deliver: Goal-oriented personalized and Intuitive Digital Experiences: Successfully nurture healthy customer and agent relationships and enhance it for necessary modern-day profitability with custom-tailored customer and agent portals on Liferay DXP. Deliver superior and more convenient experiences that are personalized based on your business goals by certified Liferay DXP developers and incorporate modern-day digital experiences for your users that will set you apart from your competition. Organization personalized Customers self-service capabilities: Empower customers with complete control of their insurance plan by incorporating all your processes and automating workflows with customer self-service portals. Manage administrative costs and leverage features such as personalized dashboards, powerful form builders and robust data protection that enables customers to perform required activities at their convenient time and place. Knowledgebase for Your Agents to Increase Conversion: Leverage Liferay Knowledgebase, wiki pages and connected agent portal to enable field agents to work more effectively and streamline processes that enable effective digital partnership. Employ an experienced Liferay DXP consultant that can help you define granular user roles, create collaboration tools, and develop a custom-tailored digital asset management system that empowers your agents to sell more policies and serve your insured better. A unified platform that integrates existing systems and fights rising Insurtech platforms: Instead of creating technology disruption, employ DXP consulting services that create a personalized transformation roadmap to integrate Liferay insurance solutions with your existing legacy systems and critical applications. With effective use of Liferay DXP’s development workplace, OSGi and development standards, and comprehensive digital toolset, DXP consultants can bridge the gap between old and new systems and create a unified platform that is built on technology evolution strategy and not on disruption. Future-proof no-code architecture with Liferay DXP Managed Services: To keep your enterprise at par with the competition and to incorporate the latest digital innovations that match your customer expectations, your Liferay DXP consulting partner can provide DXP Managed Services that can deliver the optimum advantage of Liferay DXP’s back-end architecture and make optimum use of APIs to account for custom requirements. AIMDek’s success story of delivering DXP Consulting Services for a Fortune 500 global insurance company: To enable a Japanese giant to cater effective B2B reinsurance services, AIMDek provided Liferay DXP consulting partnership to deliver a modern user-centric interface, Liferay DXP insurance functions and an automated workflow management platform for underwriters. To understand how we automated processes and delivered data-driven decision-making capabilities, read our success story! Wish to leverage Liferay DXP for your insurance organization? Connect with our Liferay DXP consultant and start your digital evolution journey today! skip render: ucaddon_next_prev_post

AIMDek IoMT Data Interoperability Architecture- Enabling IoMT companies with DaaS Capabilities  

AIMDek IoMT Data Interoperability Architecture- Enabling IoMT companies with DaaS Capabilities Avakash Dekavadiya The Problem: IoMT and Medical Devices companies are breaking the ground for revolutionary healthcare with continuous monitoring and remote monitoring capabilities. For what was mere a $24.4 billion global IoMT in 2019, due to its increased dependency is expected to grow to $285.5 billion by 2029 at a CAGR of 28.0%!  Most of the IoMT device companies have created innovative and novel MedTech devices that are not only FDA-approved but have also garnered amazing adaptation from patients and providers. While IoMT devices have successfully managed to commercialize healthcare data and applications amongst users, they are still limited to certain users and consumer sections are struggling to increase the demand for their products.  For instance, 25% of MedTech leaders are investing in R&D to increase demand for their products and the majority of IoMT medical devices are focusing of making optimum use of their data! This can be corroborated by the finding in a survey that said, out of all the MedTech companies that utilize IoMT as their offering,  43% are using data to drive business decisions 39% are incorporating data as an added value to justify the pricing 31% are offering data distribution channels as a service So, while IoMT organizations are actively trying to increase the meaningful use of their medical data, they have been facing the problem of making their data accessible and available for life science organizations! Medical data is not just required by patients and providers, that can also be useful for clinical trials, clinical research organizations, pharmaceutical companies, and insurance companies! With the increasing accuracy of medical data tracking using IoMT devices, there has been a large demand for collected patient data through IoMT devices as its real-time and continuous monitoring capabilities provide unique insights and analytical abilities for Life Science organizations which were unchartered territory for them before. The actual challenge – Data Structuring and Data Relevance! A commonly cited estimate in a survey found that in the Life Science industry, 80% of company data are unstructured. It was also found that incomplete and inaccurate data is the biggest challenge faced by 74% of the companies that were surveyed. [Source] Thus, if Medical Devices companies that use the IoMT ecosystem can provide secure and real-time access to relevant, accurate, and use-case-specific data with the Life Science industry which can deliver actionable insights supporting their thesis, they become more likely to connect with such organizations and create a larger market for their data as DaaS and Clinical Intelligence providers!  To put this in perspective, here is the potential of IoMT devices in the Life Science division as DaaS and Clinical Intelligence providers:  The Potential: Healthcare and its increasing need for medical data MedTech and Medical Wearable Devices have been transforming healthcare and patient care. With healthcare moving towards connected and continuous care, IoMT or the Internet of Medical Things has been growing exponentially because of 3 major benefits- data, statistics, and real-time analytics! Not only are patients and healthcare providers opting for IoMT devices, with the growing compliance and regulatory policies around data accessibility and connectivity, increasing demand for cost-effective and accelerated clinical trials, and the ability of IoMT devices to deliver informed decision-making in the payers’ ecosystem, but IoMT devices or Smart Medical Devices capable of continuous and remote monitoring have also been in high demand across the industry. Statistics to prove the growing need for continuous monitoring and connected medical devices across the healthcare ecosystem: Clinical Trials: For instance, when we search for the keyword “sensor” in all the listed studies which are completed, active, and recruiting, 1,452 studies were identified. This means that clinical trial organizations are relying on sensor-based wearables or implanted devices to remotely collect data and collect supportive evidence for their study in a non-invasive manner! This shows that clinical trials that are run using Sensor based medical devices for continuous monitoring delivery can derive effective, real-time, and accurate insights. IoMT devices deliver quality data programs up front and the ability to analyze data intermittently lowers the risk to a minimum in clinical trials. Provider and Patient Ecosystem: A recent study found that more than seven million patients are using remote monitoring and connected healthcare devices! [source] and the use of remote monitoring is expected to continue to expand, and opportunities abound for innovations, including general platforms that can be adapted to a wide variety of cases specific to therapeutic areas. Data Donation Need for Clinical Research: In a study, it was found that many patients want to donate their data for medical research. According to various surveys, nine-out-of-ten patients with access to their health data are willing to share that data to support research. But the hindrances that patients face while sharing this data are a lack of electronic medical information interoperability and a lack of trust in the privacy of patient medical information. MyHealthEData from Trump Administration The Interoperability and Patient Access final rule (CMS-9115-F)  IoMT devices and their data are at the center of this ecosystem! Making their data accessible to all with the consent of patients can make them the anchor for interoperable and secure medical information generation, classification, and distribution. Medical Devices and IoMT manufacturers cannot only deliver continuous care and remote health monitoring capabilities, but they can become a DaaS and clinical intelligence platform that can share relevant information with all whiles adhering to the compliance and regulatory requirements. To make it possible, seamless, and continuous sharing, here is our proposition to the IoMT companies! The Proposition: AIMDek MedTech data interoperability architecture that effectively makes IoMT companies a DaaS and clinical intelligence platform!  Brief about the architecture: While the world is gaga over integrating data points, to ensure data interoperability HL7 FHIR compliance in Medical Devices, consumer Wearable Devices, and IoMT devices, they would rather have to focus on data segregation!   To ensure effective data governance, and regulatory compliance and to become a DaaS that only transmits relevant data to the respective consumers,

QA Testing- Follow 7 Best Practices For QA Testing

QA Testing- Follow 7 Best Practices For QA Testing Avakash Dekavadiya High performance, robust security, and user experience are the cardinal aspect of mobile app popularity. Mobile app QA and testing ensure that all of these aspects are tested and flushed out vulnerabilities if exist before the app is launched. Any business that’s a little doubtful about QA and testing importance. Ask them about security breaches that make the app fail or bugs that negatively impact the app’s performance and experience. The increasing cyber-attacks have made QA testing integral to the app’s success. Simply realizing QA testing’s importance is not sufficient as it brings optimal results only when the best practices are followed. Before we take a deep dive into QA testing practices, let’s first understand QA testing in a nutshell. What is QA testing? QA testing is a process of ensuring that the product developed is bug-free, has no crashes, and has no resolution issues when it’s accessed on different devices. The flawless delivery with no compromise on quality is what QA testing promises. It assures the best user experience by preventing all the issues that impact performance or quality through various types of testing such as functional testing, UI/UX testing, usability testing, performance testing, security testing, and more. QA testing brings winning outcomes only when the best practices are followed. Here are a couple of practices to ensure QA testing delivers results as expected. 7 best practices that bring good results with QA testing Define QA objectives The QA process involves writing test cases, test scenarios, and other testing procedures where in different stakeholders are involved such as developers, product managers, business analysts, and the QA team. Everyone on the team is equally accountable for accomplishing QA objectives. Everyone on the team performs a different type of testing to ensure the software is defect-free and the system work as expected. The QA goals set for different team members are- to check open defects, ensure all the code requirements are met, make sure software requirements are fulfilled, and identify bugs that interrupt software functions. Create testing plan The roadmap is created for test procedures that determine the number of sprints, how to implement sprints, and define milestones for sprints. The team is involved in every phase of the testing plan to improve QA testing. Every minute detail related to the QA project is planned such as which testing is performed by which team member and the resources, they need for completing QA testing before the deadline. QA testing plan is agile fashion where in sprints are tested in succession- are also getting popular as they meet quality standards under the rapid app development umbrella. However, it requires seamless communication and collaboration among all the team members to drive expected results. Combine automated and manual testing QA testing requires both types of testing which require the QA team to decide which test is the best fit to test specific elements of the software at which development phase. For instance, manual testing is ideal to test user experience for the app’s look and feel, usability, and more, which requires competent and qualified testers on the board that have similar tastes of the target audience. Later, manual testing is complemented with automated testing to speed up white box testing, performance testing, load testing, and more. Automation testing never meets all testing requirements. It always needs to use in conjunction with manual testing to achieve the best results. Continuous testing Continuous integration and continuous deployment are the part and parcel of modern software development where software is mandatory either in the middle of development or post-development to ensure software stays up-to-date with the market. Continuous integration involves making changes to the codebase and continuous deployment involves pushing changes to the production. When continuous testing is incorporated during continuous integration and continuous deployment, a series of tests are performed for quality management. It also helps in incorporating user feedback into integration and deployment so that issues are addressed instantly and an enhanced version is released shortly. Embrace two-tier approach When major changes made to the project by the developer during development are moved to work on another project, then getting the project completed on time is impossible. The worst thing is when the QA testing team is unaware of the resources or testing tools leveraged during the QA process. That’s where the two-tier approach helps. It enables developers to apply automation testing tools to enhance the testing process. Tier one in the testing process goes through code testing that validates changes rapidly and is performed in conjunction with sanity testing and ad-hoc testing. Execute risk-based testing Focusing on the high risks areas is all-important to ensure the defects in the software won’t impact performance. That’s where risk-based testing helps in identifying all the project risks, prioritizing them, and then arranging the testing process. QA testing team incorporates a risk-based testing strategy that makes code architecture and software testing easier. In the strategy, the team has a prime focus on the functionality that’s most prone to theft or attack risks. It helps in quality software delivery, which ultimately enhances customer experience. Test industry compliance The businesses and developers best understand the impact of overlooking industry regulations and compliances rolled out by different nation’s governments. Following the compliances enable software to not fall into the subjection of legal issues or heavy penalties. For instance, abiding by the GDPR act is important for businesses operating in Europe that protect the user’s data usage. Healthcare industry apps need to comply with HIPAA regulation that ensures user information security in the USA. PCI DSS compliance is mandatory to follow for banking and financial organizations that ensures users’ financial data security worldwide. Get An Estimated Budget From Our QA Experts Now BOOK A CALL NOW Conclusion QA testing is integral to software development to achieve high-quality and high-performant software in reality. The continuous review and considering the best QA practices ensure QA testing is done efficiently. Seven best QA practices are illustrated and the practices you leverage depend

Why Is Low Code Automation Testing Taking Great Strides In The Testing Space?

Why Is Low Code Automation Testing Taking Great Strides In The Testing Space? Avakash Dekavadiya In this digital universe, saying every business taking digital transformation initiative to survive and thrive in the competition is not a hyperbole. The need for modern software has ramped up after the latest pandemic. However, all businesses don’t have technology experts on the team that can help with software development. How the need for quality, custom solution development from scratch is met? The rising pressure on the IT team to build quality and high-performant applications in reduced time- has become a challenge for software companies. At the same time, taking care of Software Quality Assurance is all-imperative as customers show zero tolerance for bugs, crashes, or resolution issues. The shortage of tech skills is overcome through low-code technologies. Low code technologies are expected to change the game of Software development and Software testing with the least effort and resource investment. This is why technology is expected to grow by three folds by 2025. According to Gartner research, “By 2025, 70% of new applications developed by organizations will use low-code or no-code technologies, up from less than 25% in 2020.” The impressive figures suggest that the future of low-code technology is promising. In this article, we will discuss low-code automation testing benefits, tools, and much more. Let’s dive in! Get The Detailed Information With Our Testing Experts Contact US What is low-code testing? Low-code automation testing is a boon for the developers and testers to build and test the application quickly. It enables them to accomplish the testing work in a few hours or days which takes months to get completed. Low-code automation testing speeds up software testing without requiring any extensive code skill or training thereby it shortens the development lifecycle. Low-code applications translate to standard technology usage that enables a single codebase for all devices and platforms. It makes testing the app for all devices and platforms effortless. What are the benefits of leveraging low-code testing tools? As speed has become a major driver in the software engineering process, industry leaders in the testing space are trying to accelerate the test automation process with a low-to-code testing script development process. Save a lot of time The time taken to create the automation framework for coding platforms is quite long and ultimately requires built-script maintenance as well. It increases testing time. Low-code development and testing don’t require an understanding of specialized programming languages. The direct feedback from end users enables making changes in the app development earlier which reduces the efforts required for testing. Also, replacing manual testing with low-code automation testing tools reduces testing time and effort. Create and deploy tests effortlessly Low code test automation services lower the bar for coding experience expected from professional testers. Existing teams with little to no coding experience can work on the software project thereby making low-code automation test creation and deployment easy. More non-tech employees can participate in testing. Enhance test coverage There are so many low code automation testing tools that enable the simultaneous execution of thousands of test cases possible, which ultimately enhances the test coverage to desktop, web, and mobile, and get testing done quickly. Ensure high quality The bug detection and fixing ahead of the app launch cut down the cost that gets increased once the app is deployed and launched. AI-powered automation testing tools deal with scripts smartly and minimize human error rates. Reduced cost Low code testing means enabling Test automation services and QA automation services without needing to invest a huge amount in hiring and retaining testers. When the low-code tools are made accessible to non-tech, existing employees, they can perform testing with great ease and free them up from repetitive, manual testing tasks that improve their productivity. My two cents: achieving 100% automation is impossible. The “Human Touch” of testing experts always remains at the heart of testing for intelligent execution of software testing. Which challenges you can overcome with the help of low code testing? The script-based automation testing poses a couple of challenges that lead to the popularity of low code testing or script-less testing. Here are the challenges that get resolved with low code testing- Finding the right automation tool that’s easy to use, scalable, maintainable, and facilitates integration is a daunting task. The low code automation tools work like a pro. The absence of effective communication and collaboration doesn’t impact ROI to gain from automation testing. Low code testing meets the need for instant gratification. No need to invest heavily in the training testing team for using automation testing tools and setting up the grid. No need to identify the coding skill sets in the testers that can design and manage automation frameworks. Low code testing eliminates the need to search for the right technical expert. The popular low-code testing tools that make testing a breeze Here are a couple of low code automation testing tools you can consider to streamline QA and testing automation services. They are- Katalon studio It is an open-source automation testing tool with ready-to-use features where developers just need to configure the software and enable automation testing for Web, Mobile Desktop, and API automation testing. It enables full-code test script creation in 1 minute and seamlessly works with tools like JIRA, Slack, and others. It quickly record-and-playback real-world scenarios with test objects and properties auto-capture facility. Parasoft The low code application testing platform helps in achieving continuous testing to deliver exceptional applications. AI-powered low code testing solution reduces the complexity of functional and non-functional testing which makes it a perfect fit for the testers with the least technical knowledge. The platform records manual UI interactions and builds Selenium tests using the Chrome plugin that improves test maintainability. Mabl The platform simplifies test creation and maintenance with a low code test automation approach. The intuitive interface of the platform facilitates quickly creating, running, and managing automated mobile, web, API, and browser testing. Reusable flows enable repetitively using test workflows across different test plans and executing

How Can Manufacturing Cloud Helps Manufacturing Companies Succeed?

How Can Manufacturing Cloud Helps Manufacturing Companies Succeed? Avakash Dekavadiya The last pandemic brought unimaginable changes to the world. No industry vertical is left with its impact, but technological progress enables them to survive and thrive amidst a low economy. Realizing this need, Microsoft company has started creating Microsoft cloud solutions for different industries such as pharmaceutical, medical device, manufacturing, and others. Now, Microsoft cloud solution for the manufacturing industry for s preview that enables the manufacturing company to step in with the industry 4.0 revolution. Manufacturing companies worldwide are taking interest in digitalization to reap the limitless benefits of cutting-edge solution. According to research, 80% of UK manufacturers planning to leverage digital technologies by 2025 strategically to prevent international competitiveness. It signals the manufacturers embracing digital transformation to be more resilient and agile in handling challenges. Before we dig deeper to know how Microsoft Cloud is accelerating digital transformation, let’s first understand what is Microsoft cloud for manufacturing. What is the Microsoft cloud for manufacturing industry? Microsoft solutions for the manufacturing industry aim to support the core business processes while meeting emerging needs with a bundle of technologies and tools that are available to access with a Microsoft license. The integrated set of technologies under the Microsoft cloud for manufacturing enables business processes, operations, and workflow to go ahead in tandem. With Microsoft cloud for the manufacturing industry, the companies will avail of various technologies that are- Microsoft’s Internet of Things tools Manufacturing businesses leverage connected IoT sensors to monitor the health of the production lines, equipment manufactured, the stock they hold in the warehouse, and workers’ productivity. IoT management suite enables easy integration and analysis of data from IoT sensors to make data-driven decisions. Digital twins The improved support for the design and development of digital twins facilitates representations of the real-world production lines, product design, or factor floor layout plan so that they can be tested multiple times and improved for better outcomes. Collaboration technology Microsoft Teams- the powerful collaboration tool for manufacturing companies providing a better way for staff to communicate remotely and get problems solved in real-time. Supply chain management The Dynamics 365 supply chain solution provided under the Microsoft Cloud for Manufacturing companies enables key stakeholders to plan and optimize the supply chain while seamlessly connecting and collaborating with upstream and downstream partners. Marketing and sales support Dynamics 365 customer relationship management tool is a powerful weapon in the business’ arsenal to optimize sales and improve marketing campaigns by keeping tabs on user behavior and preferences. Asset productivity The unexpected downtime leads to a loss of revenue to the manufacturing companies that can be prevented with secured access to distributed assets. It leads to improved asset productivity. Get connected with Microsoft consultants to know how Microsoft manufacturing solutions can help your business. How is the manufacturing industry driving growth with manufacturing cloud solutions? The capabilities of Microsoft solutions for the manufacturing industry enable businesses to disrupt continuity with improved operation visibility, supply chain, asset productivity, remote work, business continuity, and employee safety. Microsoft consulting services from reliable Microsoft consulting partners help you utilize the benefits to their full potential. Let’s see the benefits that businesses can enjoy with Microsoft manufacturing solutions. Improved visibility into the complex process Manufacturing operations are very complex to handle traditionally. Moreover, making the disparate workflows are scattered across multiple departments and assembly lines coordinate to get build a product that users expect. A single flaw in the processes or operation cooks the recipe of disaster. That’s where Microsoft cloud for manufacturing connecting the dots provide a single view of all the operations and processes that improve visibility into the nitty-gritty of what’s going on in the manufacturing processes. It leads to enhanced quality, efficiency, and productivity while keeping up with regulations, compliances, and safety. Easy integrations with industry-leading partners The second benefit that manufacturing businesses reap from the amass of benefits that increasing the capability with more features provided by industry-leading partners. Microsoft’s business relationship with leading companies globally brings this added advantage to the manufacturing businesses. Presently, manufacturing space can enjoy technology integrations with the following platforms- SAS – analytics solutions to improve quality and yieldRockwell Automation – industrial IoT integrationBlue Yonder – supply chain planning and operationsABB Ability™ – energy and asset management What’s more? Microsoft has an app library that manufacturing businesses can leverage at scale to get all the features they need. Enhance supply chain services Dynamics 365 supply chain solution best complements the just-in-time manufacturing model to improve supply chain collaboration, which, in turn, helps in keeping the operations under control. It enables business partners to track every supply chain level and coordinate by facilitating data sharing with the ERP system and external supply chain. For instance, when the supplier has real-time data about the manufacturer’s inventory and the speed at which the inventory is depleting, which enables making changes in orders and supply chain process accordingly. The information ahead of time allows logistic partners to plan delivery along with improved last-mile delivery services. Reduced wastage When manufacturing companies manufactures product in masses that doesn’t stand up to the customer’s expectations or have quality issues. If the concerned department gets the information about the outcome ahead of its production, then resources and efforts are saved. Conventionally, the limited ability to test the production process won’t allow the manufacturers to make data-based decisions during the production or design phase. Microsoft’s digital Twins eliminate this problem with the demonstration of virtual model functioning of real systems. Manufacturers can test how the expected changes affect the production line and widgets produced. The digital representations are created for factory layout, assembly lines, and equipment configurations that ensure resources won’t get wasted at all. Empower workforce transformation The frontline workers can perform to their peak efficiency when they have required at the right time. Microsoft cloud for manufacturing facilitates a centralized repository for the operational data stored in silos coupled with Microsoft Teams which allows workers to gain access to the right data