Supply chain refers to the network of activities, organizations, resources, and technologies involved in producing, distributing, and delivering goods or services from the point of origin to the end consumer. It encompasses various stages, including sourcing raw materials, manufacturing, transportation, warehousing, and retailing.
Supply chain issues can arise due to various factors, such as disruptions in the flow of goods or materials, transportation delays, inadequate inventory management, demand fluctuations, natural disasters, geopolitical events, labor shortages, or even unexpected crises like the COVID-19 pandemic.
Supply chain resilience refers to the ability of a supply chain to withstand and recover from unexpected disruptions while maintaining its functionality and meeting customer demands. It involves proactive risk management, contingency planning, and the ability to adapt to changing circumstances effectively.
Building supply chain resilience involves several strategies, such as diversifying suppliers and sourcing locations, creating backup plans for critical components, maintaining surplus inventory, leveraging technology for real-time visibility, fostering collaboration with partners, and implementing robust risk assessment and mitigation processes.
Supply chain visibility refers to the ability to monitor and track inventory, processes, orders and shipments at various supply chain stages. It involves using technologies like IoT sensors, RFID tags, visibility tools and data analytics to gain real-time insights, enabling better decision-making, reducing lead times, and enhancing overall efficiency.
Supply chain management (SCM) involves the planning, execution, and control of all activities related to the movement and storage of goods and services from the point of origin to the end consumer. It encompasses a range of functions, including procurement, inventory management, logistics, distribution, and customer service.
Supply chain analytics uses data analysis and business intelligence tools to gain insights and make informed decisions in supply chain management. It examines historical and real-time data to optimize inventory levels, identify inefficiencies, forecast demand, and improve overall supply chain performance.
Network optimization in supply chain management refers to designing and configuring the supply chain network to achieve the most efficient and cost-effective flow of goods and services. It involves optimizing aspects of the supply chain, such as transportation routes, warehouse locations, production facilities, and distribution channels.
Supply chain optimization involves adopting various strategies, including improving inventory management, reducing lead times, implementing demand forecasting techniques, leveraging technology for real-time data and visibility, enhancing collaboration with suppliers and partners, and continuously monitoring and refining processes for maximum efficiency.
Supply Chain Supply Chain Analytics Supply Chain Visibility
Application modernization refers to updating or transforming legacy applications to leverage modern technologies, architectures, and functionalities. Legacy applications are typically older software systems that have been in use for a long time, may need to be updated, are challenging to maintain, and lack compatibility with newer technologies. Modernizing these applications aims to improve their performance, security, scalability, and user experience while reducing maintenance costs. It involves making structural changes to the application, updating the underlying codebase, migrating to newer platforms, and adopting contemporary development practices.
Modernizing legacy applications involves a strategic process to update and enhance older software systems, enabling them to meet current business demands and take advantage of newer technologies. The first step is conducting a comprehensive assessment of the legacy application to analyze its functionalities, dependencies, and potential modernization approaches. Next, organizations must set clear modernization goals and define a strategy aligning with their requirements. Depending on the application’s complexity, various modernization techniques can be employed, such as rehosting, refactoring, re-platforming, rewriting, replacing, or retiring the application. Testing and validation are crucial throughout the process to ensure compatibility, functionality, and performance in the modern environment.
A phased approach to migration is often preferred, allowing businesses to transition critical components and minimize disruptions gradually. Adequate training for the development team on modern technologies and best practices is also vital. Regular monitoring and optimization after modernization ensure the application operates optimally in its new environment. By following these steps, businesses can successfully modernize legacy applications, optimizing their performance, scalability, and overall efficiency.
Application modernization services are professional services offered by specialized companies or IT providers to help businesses modernize their legacy applications. These services can include application assessment, architecture design, technology migration, development, testing, deployment, and ongoing support. By leveraging application modernization services, organizations can streamline their legacy application transformation, reduce risks, and take advantage of modern technologies to remain competitive in a rapidly evolving digital landscape.
Managed File Transfer (MFT) is a technology and approach used to securely and efficiently transfer files between different systems, applications, users, locations, or trading partners within an organization. It provides a more controlled and centralized way to handle file transfers, ensuring data integrity, security, and visibility throughout the process.
It typically includes features such as encryption, audit trails, scheduling, and notifications. MFT solutions are commonly used to replace ad-hoc and insecure file transfer methods like email attachments or FTP (File Transfer Protocol) with a more reliable and compliant approach.
File Transfer Management is overseeing and administrating an organization’s file transfer activities. It involves setting up policies, rules, and procedures for file transfers, monitoring transfer activities, ensuring compliance with regulations, and maintaining a secure and reliable file transfer infrastructure.
Managed File Transfer Solutions are software or platforms facilitating secure and efficient file transfers. These solutions offer a range of features, such as encryption, authentication, data compression, audit logs, automation, and reporting. They are essential for businesses that need to transfer sensitive data between internal systems, external partners, or cloud-based environments securely.
Secure Managed File Transfer focuses on ensuring the confidentiality, integrity, and availability of files during transit. It uses encryption and other security measures to protect the data from unauthorized access or tampering. Secure MFT solutions are particularly crucial for regulated industries and those that deal with sensitive information, such as financial institutions, healthcare providers, and government agencies.
Cloud Managed File Transfer refers to using managed file transfer solutions hosted in the cloud. It allows organizations to take advantage of the scalability, flexibility, and cost-effectiveness of cloud computing while still ensuring secure and reliable file transfers. Cloud MFT solutions are suitable for businesses that require file transfers across different cloud services or between on-premises and cloud-based environments.
Managed File Transfer solutions are vital in modern data management, enabling organizations to streamline file transfer processes, enhance data security, comply with data regulations, and improve overall operational efficiency.
Managed File Transfer / Sterling MFT Gateway
Data Analytics Services encompass a range of offerings companies or professionals provide to help organizations derive valuable insights and make informed decisions from their data. These services use various analytical techniques, tools, and technologies to process, interpret, and visualize data, allowing businesses to identify patterns, trends, and opportunities to improve performance and achieve strategic objectives.
Data Analytics Consulting Services involve expert advisors or consulting firms that assist organizations in formulating and implementing data analytics strategies. They provide guidance on data management, data infrastructure setup, analytical techniques, tool selection, and data-driven decision-making processes. Data Analytics Consulting Services help businesses optimize their data analytics capabilities and align them with their overall business objectives.
Data Analytics as a Service (DAaaS) is a cloud-based offering providing data analytics capabilities and tools to clients as a subscription or on-demand service. DAaaS allows organizations to access and utilize analytics platforms and expertise without investing in infrastructure or maintaining specialized analytics teams in-house. This service model offers flexibility, scalability, and cost-effectiveness for businesses seeking data analytics solutions.
Data Analytics Services Companies specialize in providing data analytics solutions and consulting services. These companies employ data scientists, analysts, and experts proficient in various analytics tools and methodologies. They work with clients across different industries to help them extract insights from their data, improve decision-making processes, and gain a competitive advantage. These services and companies play a crucial role in the modern business landscape, as data-driven insights have become increasingly valuable in driving growth, identifying opportunities, mitigating risks, and enhancing overall operational efficiency. Organizations of all sizes and across industries can benefit from leveraging data analytics services to leverage the power of data for business success.
Generative AI refers to a branch of artificial intelligence that focuses on creating new and original content rather than simply analyzing or processing existing data. It involves using algorithms that can generate novel data that closely resembles human-created content, such as text, images, music, and more.
At the core of generative AI are generative models, which are algorithms designed to learn patterns and structures from input data and then generate new instances that adhere to the learned distribution. These models aim to capture the underlying characteristics of the data and produce new samples that are similar to what they have been trained on.
Data Enterprise Analytics refers to using data analytics techniques and tools on a large scale across an entire organization. It involves integrating and analyzing data from various sources and departments within the enterprise to gain insights, optimize processes, and drive data-informed decision-making. Data Enterprise Analytics aims to leverage data as a strategic asset, promoting a data-driven culture and maximizing the value of data throughout the organization.
Big Data Analytics involves the process of examining and extracting insights from large and complex datasets that surpass the capabilities of traditional data processing methods. It encompasses various techniques to analyze massive volumes of structured and unstructured data, such as data mining, machine learning, and predictive modeling. Big Data Analytics is used to identify patterns, trends, correlations, and valuable insights that can lead to improved business outcomes, enhanced customer experiences, and competitive advantages.
An enterprise-wide data and analytics strategy is a comprehensive plan that outlines how an organization intends to leverage data and analytics capabilities to achieve its business goals. It involves defining the data governance framework, data management processes, analytics tools, and technologies and integrating data-driven insights into decision-making at all levels of the organization. The strategy aims to ensure that data is a strategic asset and that analytics initiatives align with the organization’s overall vision and objectives.
Predictive Data Analytics is a subset of data analytics that uses historical data and statistical algorithms to predict future events or outcomes. By analyzing past patterns and trends, predictive data analytics can identify potential future scenarios and help organizations anticipate customer behavior, market trends, and potential risks. This analysis allows businesses to make proactive decisions and take actions to capitalize on opportunities or mitigate potential problems.
Data Science and Data Analytics are related disciplines with distinct focuses and goals. Data Science is a multidisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from data. Data scientists use their statistics, machine learning, computer science, and domain knowledge expertise to analyze complex datasets, build predictive models, and develop data-driven solutions. Data science often involves creating new algorithms and designing experiments to answer specific research questions.
Data Analytics focuses on extracting actionable insights from data to inform business decisions and improve processes. Data analysts primarily use data visualization, descriptive statistics, and basic predictive modeling techniques to analyze data and present findings in a consumable, understandable manner. Data analytics focuses on solving business problems and providing valuable insights to support decision-making.
EDI stands for Electronic Data Interchange. It is a standardized method of electronically exchanging business documents and data between organizations in a structured and machine-readable format. EDI is widely used to facilitate the exchange of documents such as purchase orders, invoices, shipping notices, and other business-critical information, streamlining business processes and improving communication between trading partners.
EDI Integration refers to connecting and exchanging data electronically between different business systems, partners, or trading partners using Electronic Data Interchange (EDI) standards. It enables seamless and automated data exchange, facilitating efficient communication and transactions between companies, regardless of their internal systems or software.
In EDI Integration, businesses first set up EDI standards and protocols to define the structure and format of the data to be exchanged, ensuring both parties understand how to interpret and process the data correctly. Once the EDI standards are agreed upon, the systems are integrated, allowing data to be transmitted and received electronically. EDI messages containing structured data like purchase orders, invoices, shipping notices, etc., are sent and received through secure EDI networks or Value-Added Networks (VANs), ensuring the confidentiality and reliability of the data exchange.
EDI software is a specialized application or platform that facilitates the electronic exchange of business documents between organizations. It enables businesses to generate, translate, send, receive, and process EDI messages. EDI software helps automate and streamline various business processes, reducing manual data entry and improving the accuracy and speed of data exchange.
EDI Data Integration seamlessly incorporates EDI data into an organization’s internal systems and workflows. It involves translating EDI messages into a format compatible with the recipient’s business systems and vice versa. EDI Data Integration ensures that the received data can be directly processed by the organization’s enterprise resource planning (ERP) system or other backend applications, eliminating manual data handling.
EDI Managed Services involve outsourcing the management and maintenance of an organization’s EDI operations to a third-party provider. These services may include setting up and managing EDI connections with trading partners, handling data mapping and translation, monitoring EDI transactions, resolving issues, and ensuring compliance with EDI standards and regulations. EDI Managed Services allow companies to focus on their core business while leaving the EDI complexities to experts.
EDI Outsourcing is the practice of delegating all or part of the EDI process to an external service provider. EDI Outsourcing can include the management of EDI transactions, document processing, data integration, partner onboarding, and ongoing EDI support. By outsourcing EDI, businesses can reduce the burden of maintaining EDI capabilities in-house, often leading to cost savings and improved efficiency.
B2B EDI Integrations Managed Services
Syncrofy is a SaaS-based, multi-tenant, end-to-end visibility and intelligence platform that allows Supply Chain Business Network – SCBN, B2B integrator, IBM Transformation Extender, and Gentran clients to maximize their investment in the IBM portfolio. Syncrofy, working with existing applications, consolidates B2B data and provides transaction and full order lifecycle visibility at the line-item level in an easily readable format. It includes powerful reports, dashboards, and notifications that empower business users to visualize data and discover problems before they occur.
The ROI and value prop in real dollars is clear:
Correlated EDI and supply chain documents in a human-readable format:
Syncrofy solves the problem of not having self-service, easy to see visibility into your B2B supply chain which results in higher costs, compliance fines and lower revenue, including:
Syncrofy is delivered in weeks, not months. Configuration, data loading, and training are included in implementation.
Syncrofy Visibility Syncrofy Integration Cloud
Managed services refer to outsourcing the responsibility for maintaining, managing, and supporting certain business processes, IT infrastructure, or services to a specialized external provider. The goal of managed services is to offload specific tasks and responsibilities to a third-party expert, allowing the organization to focus on its core business objectives and reduce the burden of handling day-to-day operational activities.
A managed service provider (MSP) is the external entity that delivers managed services to the client. MSPs are typically IT service providers but can also cover other aspects of business operations. They offer a range of services and support, often under a service-level agreement (SLA), which outlines the scope of services, performance metrics, and response times. Managed service providers may offer a variety of services, including IT Infrastructure Management, Network Monitoring and Management, Security Services, Data Backup and Recovery, Help Desk and Technical Support, Software and Application Management, and Managed Cloud Services.
Fully Managed IT Services refers to outsourcing all aspects of an organization’s IT management and support to an external IT service provider. This comprehensive approach covers a wide range of IT services, including network management, server maintenance, cybersecurity, data backup and recovery, help desk support, software updates, and more. With fully managed IT services, businesses can have peace of mind knowing that experts are proactively managing their IT infrastructure, reducing downtime and improving overall IT performance.
The benefits of managed services include access to specialized expertise, cost savings, increased operational efficiency, reduced downtime, and the ability to scale services as needed. Organizations often choose managed services to complement their internal capabilities, fill skill gaps, and improve overall business performance.
EDI Managed Services involve outsourcing the management and operation of Electronic Data Interchange (EDI) processes to a specialized external provider. EDI Managed Service providers handle tasks such as setting up and maintaining EDI connections with trading partners, handling data translation and mapping, monitoring EDI transactions, and providing ongoing support. By leveraging EDI Managed Services, organizations can streamline their EDI operations, ensure compliance with EDI standards, and focus on their core business activities.
Fully managed EDI IT services refer to a comprehensive outsourcing solution where a third-party provider takes care of all aspects of an organization’s Electronic Data Interchange (EDI) needs. In this setup, the EDI service provider handles the entire EDI infrastructure, software, and operations, allowing the client company to focus on its core business activities without worrying about EDI-related tasks.
EDI Outsourcing is the practice of delegating the entire EDI process or specific EDI tasks to an external service provider. This can include managing EDI transactions, data translation, partner onboarding, monitoring EDI flows, and providing ongoing support. EDI outsourcing allows organizations to benefit from the expertise of EDI specialists without having to invest in internal resources and infrastructure.
There are several reasons why organizations choose to use an EDI Managed Services Provider. EDI Managed Services Providers have specialized knowledge and experience in managing EDI processes and resolving EDI-related challenges. Outsourcing EDI management can be more cost-effective than maintaining an in-house EDI team and infrastructure. EDI Managed Services can easily scale with the organization’s needs, accommodating business growth or fluctuations in transaction volumes. They help ensure compliance with EDI standards and regulations, they offer reliable support to maintain uninterrupted EDI operations, they provide proactive monitoring and issue resolution, reducing the risk of errors and downtime, and they implement robust security measures to protect sensitive data during EDI transactions.
By offloading EDI management to experts, organizations optimize their EDI operations, improve efficiency, stay competitive and focus on their core business.
EDI visibility, also known as Electronic Data Interchange (EDI) visibility, refers to the ability to track and monitor the movement of information and data throughout the entire EDI supply chain process. In a typical supply chain, various stakeholders, such as suppliers, manufacturers, distributors, retailers, and customers, exchange a wide range of documents like purchase orders, invoices, shipping notices, and more through EDI. EDI visibility enhances the tracking and monitoring of these EDI transactions, providing real-time insights into the status and location of documents, as well as the progress of orders and shipments. EDI visibility is crucial to supply chain management as it enables businesses to make informed decisions, optimize processes, improve efficiency, and enhance collaboration with trading partners. Real-time insights into the supply chain helps organizations respond to changes and challenges, ensuring a seamless flow of goods and information from the point of origin to the final destination.
EDI (Electronic Data Interchange) solutions are technologies and systems that facilitate the exchange of business documents and data electronically between trading partners in a standardized format. The purpose of EDI is to streamline and automate business-to-business (B2B) communications, making it more efficient and reducing the need for manual data entry and paper-based processes.
EDI solutions enable companies to exchange various types of business documents, such as purchase orders, invoices, shipping notices, inventory updates, and other transactional data, in a structured and standardized way. These solutions typically include translation software, communication protocols, mapping and integration, data validation and compliance, and standards support.
EDI Visibility EDI & IT Solutions
IBM Sterling is a suite of supply chain management and B2B integration solutions offered by IBM. It includes various products and services designed to help businesses optimize their supply chain operations, improve trading partner collaboration, enable secure data exchange, and enhance overall supply chain efficiency.
IBM Sterling Professional Services refer to specialized consulting and implementation services provided by IBM to assist businesses in deploying and optimizing their IBM Sterling solutions. These services may include system integration, solution design, customization, training, and ongoing support to help organizations maximize the value of their IBM Sterling products.
IBM Sterling Upgrades refer to updating and migrating existing IBM Sterling software to the latest versions or releases. Upgrading to newer versions often offers enhanced features, performance improvements, security updates, and bug fixes, ensuring the software remains up-to-date and aligned with the latest industry standards.
IBM Sterling MFT is a part of the IBM Sterling suite and focuses explicitly on secure and managed file transfer capabilities. Using standard protocols and encryption, it provides a reliable and secure way for organizations to exchange files and data with trading partners, customers, and internal systems.
Migration services refer to the professional services that assist individuals or organizations in moving from one environment or technology to another. This process involves transferring data, applications, systems, or entire infrastructures from one location, platform, or architecture to another while ensuring minimal disruption and maximum efficiency during the transition.
Cloud Migration Services specifically focus on helping businesses move their applications, data, and IT resources from on-premises or existing cloud environments to a cloud computing platform. Cloud migration involves various levels of complexity, depending on the scope and nature of the migration. Service providers offering cloud migration services assist organizations in planning, executing, and managing the migration process, ensuring that applications and data can seamlessly operate within the chosen cloud environment.
Data Migration Services concentrate on transferring data from one storage system, database, or application to another. Data migration may be necessary when organizations upgrade their IT infrastructure, consolidate data centers, switch to new applications, or move to cloud-based storage solutions. Data migration services involve mapping, validating, transforming, and transferring data while ensuring its integrity, security, and compatibility with the target system.
Migration services are essential when adopting new technologies, modernizing IT infrastructure, or optimizing business processes. Leveraging specialized migration services ensures a smooth transition, reduces downtime, minimizes data loss, and enables businesses to benefit from the advantages of new platforms or environments effectively.
Legacy application migration involves the process of moving older applications to modern environments or cloud platforms to take advantage of advanced features, scalability, and cost-effectiveness. By migrating legacy applications to the cloud, organizations can benefit from enhanced performance, improved accessibility, and increased flexibility, paving the way for future innovation and growth.
Migrating legacy applications to modern environments or the cloud can be a complex process that requires careful planning, execution, and testing. Critical steps to help guide you through the legacy application migration process include assessing your legacy applications for potential compatibility issues with the target environment or a cloud platform, defining migration goals and strategies, testing the application for compatibility, planning and executing the migration, ensuring security measures are in place, and monitoring and optimizing performance after the migration.
Migrating legacy applications can be a complex and challenging process, but modernizing and improving software systems is often necessary. There are several options for migrating legacy applications, depending on factors like the application’s size, complexity, technology stack, and the desired outcome. Here are some common approaches:
Before deciding on a migration strategy, it’s essential to thoroughly analyze the legacy application, including its architecture, dependencies, and business requirements. Additionally, involving stakeholders, creating a migration plan, and extensively testing the new environment are crucial to ensure a successful migration process.
Cloud migration is the process of moving data, applications, and IT resources from on-premises or existing infrastructure to a cloud computing environment. It involves transferring workloads to cloud platforms to take advantage of scalability, cost-effectiveness, flexibility, and the ability to access resources and services on-demand over the Internet.
Migrating to the cloud is a well-structured process that involves several key steps, setting organizations on a path to leverage cloud benefits like scalability, efficiency, and empowering business growth. These steps include:
Migrating to the cloud provides numerous compelling reasons for businesses. It offers cost savings by adopting a pay-as-you-go model, eliminating the need for substantial upfront hardware investments. Companies can quickly scale their resources up or down to meet changing demands, enhancing operational flexibility and cost-effectiveness. Additionally, cloud services enable access to resources and applications from anywhere with an internet connection, fostering increased mobility and collaboration. Security is a benefit, as cloud providers implement robust measures to safeguard data and applications, ensuring better protection against potential threats. Automatic updates and maintenance managed by cloud providers guarantee that businesses always have the latest software versions and security patches without needing manual intervention. Finally, cloud environments inherently provide built-in disaster recovery and backup solutions, enhancing business continuity and minimizing downtime during an unforeseen disruption.
Migrating to the cloud offers several significant benefits for businesses. It reduces capital expenses as there is no need to invest in expensive on-premises hardware. It allows organizations to scale resources up or down based on demand providing enhanced scalability and optimizing resource utilization. Additionally, businesses gain access to high-performance cloud infrastructure, leading to improved application and service performance. Cloud-based solutions also enable increased accessibility, allowing users to access data and applications from anywhere with an internet connection. Furthermore, data security is strengthened as cloud providers implement robust security measures to protect sensitive information.
The cloud fosters business agility, facilitating rapid deployment of applications and services, and enabling organizations to respond quickly to changing market conditions. Finally, automatic updates and maintenance handled by cloud providers ensure that applications are up-to-date with the latest features and security patches, relieving businesses of the burden of manual updates and enhancing overall system reliability.
A cloud migration strategy is a plan that outlines the approach an organization will take to move its data, applications, and services to the cloud. It includes assessing the current environment, choosing the appropriate cloud model, selecting a cloud provider, identifying migration priorities, setting timelines, and considering data security and compliance.
The decision to migrate to the cloud depends on your organization’s needs, budget, and long-term goals. Evaluating the benefits of cloud migration, conducting a cost-benefit analysis, and considering factors such as data security, regulatory compliance, and the complexity of your applications are critical steps before deciding. A well-executed cloud migration can significantly benefit businesses, but it requires proper planning and consideration of your unique requirements.
Containerization is a lightweight virtualization technology that allows applications and their dependencies to be packaged together in a container. Containers encapsulate the application code, runtime, libraries, and other necessary components, ensuring consistency and portability across different environments. Containerization enables efficient application deployment, scalability, and isolation while reducing overhead compared to traditional virtual machines.
Containerization operates at the application level, sharing the host OS kernel and providing lower isolation. It is lightweight with reduced resource overhead, enabling fast deployment and scaling. Containers are highly portable for easy migration between environments.
Conversely, virtualization operates at the hardware level, with each VM having its own full OS. It offers stronger isolation but incurs higher resource overhead. VMs are slower to start and boot, and their portability can be limited due to hardware dependencies.
To containerize an application, you package its code, dependencies, and configuration into a container image. This image can be run on any system with a compatible container runtime, ensuring consistent behavior and portability. Specific steps include:
In DevOps, containerization streamlines the software development and deployment process. It enables developers to work in a consistent environment, facilitates continuous integration and continuous delivery (CI/CD), and ensures that applications run consistently across various stages of the development pipeline.
Containerization is commonly used in cloud computing to improve application deployment, scalability, and management. Cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) support containerized applications, providing the flexibility to run them on various cloud instances.
Containerization enhances cybersecurity by isolating applications from the host and each other, reducing the attack surface. Containers help contain potential security breaches, and they can be quickly replaced with patched or updated versions if vulnerabilities are discovered.
Containerization offers several benefits. It provides portability, allowing applications to run consistently across different environments; ensures application isolation, preventing conflicts and enhancing security; is quick and easy to deploy; and provides effortless scalability to handle varying levels of demand.
Applications packaged in containers behave consistently, eliminating compatibility issues. Version management becomes more manageable with support for container versioning. Containers use fewer resources compared to virtual machines, optimizing resource utilization. Containerization integrates well with CI/CD pipelines, enabling automation and faster delivery. The container ecosystem offers various tools and services for managing containerized applications.
In summary, containerizing an application simplifies development, testing, and deployment, reducing operational overhead and improving overall efficiency.
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