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Top Reasons to Use Microsoft Dynamics 365 as your CRM  

Microsoft Dynamics 365 is a unified platform that combines ERP (Enterprise Resource Planning) and CRM on the same platform while eliminating the need to implement different systems for different purposes. Dynamics CRM has different modules such as: Dynamics CRM for Sales Marketing, CRM for Warehouse Management etc.   Using disparate systems can cause more complications and compromise with your productivity. In an era where most businesses are switching to smarter technology, you being stuck to the traditional methods can cost you your productivity, profit margin and overall business goal accomplishments.  Be it sales force automation, business intelligence, marketing, account management, order management, service improvement or a seamless information flow, Microsoft Dynamics 365 is capable of handling everything pretty easily.   In this blog, we will discuss why you should use Microsoft Dynamics CRM for your business. Coupled with expertise in deployment, building, and supporting advanced CRM solutions, it brings out greater control over your sales process. With boosted client satisfaction and greater productivity, you can easily surpass competition.   Microsoft Dynamics showers tremendous benefits to your business such as:  Your employees begin to work more efficiently and can now make better decisions.   You boost your marketing with Microsoft Dynamics CRM robust tools that make it easier to set up, analyze, run, and manage campaigns.   Your marketing and sales staff begin to collaborate, hence resulting in attracting more business.   No more silos, as Microsoft CRM stores data in one place.   It implements the best practice approach while improving your business processing   You can conduct more effective campaigns.  You can manage your inventory better and predict the future requirements.   Benefits of Microsoft Dynamics CRM   Customization Boost  Microsoft Dynamics 365 is a pretty flexible solution that works as your company goes. With unlimited features and third-party integration ability, it ensures enough flexibility and ideal customization according to the changing needs of your business. You do not have to engage with different software if you suddenly come across a new requirement. It can easily be tailored to work as your company wants. This CRM views links and forms and can customize them without extra development.   Easily Accessible Information   Are you tired already scanning through different software a critical piece of information? Bid a goodbye to this struggle as Dynamics CRM integrates data like sales, marketing, customer and so on under the same roof and creates insightful plus actionable reports. With its robust tools, you can ensure that the right information is provided to the right employee. You can easily share customer-oriented PowerPoint presentations, documents, reports through Office365 which enables Microsoft Teams, Outlook, Excel, PowerPoint and so on.   Targeted Marketing Campaigns    It is important for your clients to know about your product and the exclusive offers attached to it. Microsoft Dynamics 365 delivers a tool which seamlessly simplifies complex processes such as building leads and client lists, generating targeted at specific prospects, measuring results, and executing follow ups. This software will always ensure you stay connected with the right clients.   Seamless Application and Data Source Application   Microsoft Dynamics 365 possesses the force of Microsoft NET Framework and Web Services.  It allows companies to integrate their old, isolated, legacy business solutions and apps. This system connects with your third-party application while helping you break down information in silos. For instance, with email marketing, you can create personalized emails with CRM information and track recipient tools in Dynamics 365. With surveys, you can easily match client gratification replies with the contact records in Dynamics 365. Similarly, with web tracking, you can easily track enterprises who show interest in your product or just make a casual visit.   Power BI (Business Intelligence) and Dynamics CRM  With Microsoft Dynamics CRM SQL server, you can enjoy the services. Build insightful reports with this robust analytical tool for every business. These embedded analytical tools integrate with a SQL server to create actionable data reports for people at managerial level while providing enough accounts for better decision making. You can easily gain a complete view of your client anytime you want while accessing its advanced reporting functionalities. This system provides a crucial platform for planning, marketing, sales, investment, and tracking.  Implementing Microsoft Dynamics CRM can solidify your relationships with customers, you can even create relevant deals, offers and loyalty programs for an individual or a group of customers. If you are looking forward to getting Microsoft Dynamics 365 CRM, for Dynamics CRM for Sales Marketing, CRM for Warehouse Management, or any another module, you can contact Trident Information systems. We are a Gold Microsoft Dynamics Partner who has been serving various industries for over 20 years. Contact us for further information.  

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Advancing Azure service quality with artificial intelligence: AIOps

We are going to share our vision on the importance of infusing AI into our cloud platform and DevOps process. Gartner referred to something similar as AIOps (pronounced “AI Ops”) and this has become the common term that we use internally, albeit with a larger scope. Today’s post is just the start, as we intend to provide regular updates to share our adoption stories of using AI technologies to support how we build and operate Azure at scale. Why AIOps? There are two unique characteristics of cloud services: The ever-increasing scale and complexity of the cloud platform and systems The ever-changing needs of customers, partners, and their workloads To build and operate reliable cloud services during this constant state of flux, and to do so as efficiently and effectively as possible, our cloud engineers (including thousands of Azure developers, operations engineers, customer support engineers, and program managers) heavily rely on data to make decisions and take actions. Furthermore, many of these decisions and actions need to be executed automatically as an integral part of our cloud services or our DevOps processes. Streamlining the path from data to decisions to actions involves identifying patterns in the data, reasoning, and making predictions based on historical data, then recommending or even taking actions based on the insights derived from all that underlying data.   Figure 1. Infusing AI into cloud platform and DevOps. The AIOps vision AIOps has started to transform the cloud business by improving service quality and customer experience at scale while boosting engineers’ productivity with intelligent tools, driving continuous cost optimization, and ultimately improving the reliability, performance, and efficiency of the platform itself. When we invest in advancing AIOps and related technologies, we see this ultimately provides value in several ways: Higher service quality and efficiency: Cloud services will have built-in capabilities of self-monitoring, self-adapting, and self-healing, all with minimal human intervention. Platform-level automation powered by such intelligence will improve service quality (including reliability, and availability, and performance), and service efficiency to deliver the best possible customer experience. Higher DevOps productivity: With the automation power of AI and ML, engineers are released from the toil of investigating repeated issues, manually operating and supporting their services, and can instead focus on solving new problems, building new functionality, and work that more directly impacts the customer and partner experience. In practice, AIOps empowers developers and engineers with insights to avoid looking at raw data, thereby improving engineer productivity. Higher customer satisfaction: AIOps solutions play a critical role in enabling customers to use, maintain, and troubleshoot their workloads on top of our cloud services as easily as possible. We endeavor to use AIOps to understand customer needs better, in some cases to identify potential pain points and proactively reach out as needed. Data-driven insights into customer workload behavior could flag when Microsoft or the customer needs to take action to prevent issues or apply workarounds. Ultimately, the goal is to improve satisfaction by quickly identifying, mitigating, and fixing issues. Figure 2. AI for Cloud: AIOps and AI-Serving Platform. AIOps Moving beyond our vision, we wanted to start by briefly summarizing our general methodology for building AIOps solutions. A solution in this space always starts with data—measurements of systems, customers, and processes—as the key of any AIOps solution is distilling insights about system behavior, customer behaviors, and DevOps artifacts and processes. The insights could include identifying a problem that is happening now (detect), why it’s happening (diagnose), what will happen in the future (predict), and how to improve (optimize, adjust, and mitigate). Such insights should always be associated with business metrics—customer satisfaction, system quality, and DevOps productivity—and drive actions in line with prioritization determined by the business impact. The actions will also be fed back into the system and process. This feedback could be fully automated (infused into the system) or with humans in the loop (infused into the DevOps process). This overall methodology guided us to build AIOps solutions in three pillars. Figure 3. AIOps methodologies: Data, insights, and actions. AI for systems Today, we’re introducing several AIOps solutions that are already in use and supporting Azure behind the scenes. The goal is to automate system management to reduce human intervention. As a result, this helps to reduce operational costs, improve system efficiency, and increase customer satisfaction. These solutions have already contributed significantly to the Azure platform availability improvements, especially for Azure IaaS virtual machines (VMs). AIOps solutions contributed in several ways including protecting customers’ workload from host failures through hardware failure prediction and proactive actions like live migration and Project Tardigrade and pre-provisioning VMs to shorten VM creation time. Of course, engineering improvements and ongoing system innovation also play important roles in the continuous improvement of platform reliability. Hardware Failure Prediction is to protect cloud customers from interruptions caused by hardware failures.  Microsoft Research and Azure have built a disk failure prediction solution for Azure Compute, triggering the live migration of customer VMs from predicted-to-fail nodes to healthy nodes. We also expanded the prediction to other types of hardware issues including memory and networking router failures. This enables us to perform predictive maintenance for better availability. Pre-Provisioning Service in Azure brings VM deployment reliability and latency benefits by creating pre-provisioned VMs. Pre-provisioned VMs are pre-created and partially configured VMs ahead of customer requests for VMs. As we described in the IJCAI 2020 publication, As we described in the AAAI-20 keynote mentioned above,  the Pre-Provisioning Service leverages a prediction engine to predict VM configurations and the number of VMs per configuration to pre-create. This prediction engine applies dynamic models that are trained based on historical and current deployment behaviors and predicts future deployments. Pre-Provisioning Service uses this prediction to create and manage VM pools per VM configuration. Pre-Provisioning Service resizes the pool of VMs by destroying or adding VMs as prescribed by the latest predictions. Once a VM matching the customer’s request is identified, the VM is assigned from the pre-created pool to the customer’s subscription. AI for DevOps AI can boost engineering productivity and help in shipping

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