Alternatives to SAS Asset Performance Analytics

The Asset Guardian (TAG) Mobi: Tackle Downtime with TAG Mobi TAG Mobi is a fully embedded preventive maintenance and asset management (EAM) solution within Microsoft Dynamics 365 Business Central. Designed for modern manufacturing and infrastructure operations, TAG Mobi helps reduce risk, minimize downtime, and streamline maintenance workflows—all from within your existing Business Central environment. From proactive asset health monitoring and predictive maintenance to real-time mobility and AI-powered adoption tools, TAG Mobi equips maintenance teams with everything they need to boost performance and take control of asset operations. Key Features: • Fully embedded in Microsoft Dynamics 365 Business Central • Real-time mobile access for on-the-go asset tracking • Predictive maintenance to reduce unplanned downtime • AI-assisted onboarding for faster adoption • Advanced APM tools to monitor asset health and anticipate failures No silos. No extra software. Just a seamless, native experience that empowers maintenance teams and provides managers with the insights they need—right inside Business Central.

Receive precise notifications of potential failures weeks or even months ahead by utilizing real-time information and predictive analytics. Make use of an integrated approach that includes prescriptive maintenance, root cause analysis, and RAM analysis to tackle problems at various levels, including equipment, process, and system. Efficiently implement automated Asset Performance Management solutions using minimal intervention machine learning techniques to foresee asset failures and minimize downtime across the entire plant, across systems, or in multiple sites. This proactive strategy not only enhances operational efficiency but also significantly boosts overall productivity.

Identify patterns in operational data that can forecast deterioration and potential failures long before they occur. By employing accurate failure pattern recognition, you can reduce the frequent occurrence of false positives typically associated with traditional model-based approaches. Utilizing low-touch machine learning, you can swiftly distinguish between normal and abnormal behaviors, ensuring equipment protection starts within weeks rather than extending into months. The integration of Aspen Mtell with Aspen Cloud Connect™ provides connectivity to devices that support OPC UA. This method of recognizing operational patterns not only serves as an initial defense against asset decline but also enhances existing maintenance strategies through the deployment of AI-driven agents across various sites or throughout the entire organization. By focusing on precise failure pattern recognition, the challenge of high false positive rates in model-based solutions is effectively mitigated. Moreover, the rapid identification of operational behaviors facilitates timely equipment protection, ensuring that organizations can respond proactively to potential issues as they arise.

Enhancing asset performance is essential for boosting reliability and availability while also cutting costs and minimizing operational risks. Asset Performance Management (APM) encompasses a comprehensive range of software and services aimed at improving the efficiency of operations and maintenance across various equipment, the overall plant, and the entire fleet. With advanced features like Digital Twin analytics, work process automation, and integrated GE industry knowledge, APM delivers distinct advantages for contemporary industrial operations. By facilitating proactive monitoring and safeguarding of critical assets and systems, APM helps mitigate unplanned downtime, thereby enhancing both availability and reliability. Additionally, it plays a vital role in ensuring the health and safety of employees, environmental protection, and the achievement of business objectives by minimizing asset-related incidents. Furthermore, by enabling early detection of issues, APM transforms potential unplanned downtimes into planned and scheduled maintenance activities, significantly reducing the need for costly emergency repairs. Ultimately, this strategic approach not only preserves asset integrity but also fosters a more efficient and sustainable operational framework.

Accruent Observe offers a comprehensive IoT solution for remote monitoring, management, and energy optimization across various types of equipment, aimed at enhancing energy efficiency and operational performance while also predicting equipment failures, improving air quality, and ensuring compliance with commercial refrigeration standards. By maintaining facilities and assets at their optimal performance levels, organizations can effectively meet both compliance requirements and financial objectives. Unplanned downtime can be significantly reduced by pinpointing the exact moment an asset starts to fail, allowing for proactive maintenance to address issues before they escalate. This approach enables businesses to replace equipment solely when necessary instead of adhering to arbitrary schedules, leading to a reduction in unnecessary service costs and overall maintenance expenditures. Moreover, users can identify which locations and equipment are the largest energy consumers, enabling real-time monitoring of energy usage, with the capability to filter by energy type or date range, thus facilitating timely corrections of excessive energy consumption. Additionally, from the initial purchase to disposal, organizations can gain complete visibility into the entire lifecycle of refrigerant usage, ultimately resulting in substantial cost savings. Finally, by leveraging data analytics, businesses can make informed decisions that further enhance operational efficiency and sustainability.

Actively oversee the health of machines and plants to maintain maximum uptime, productivity, and address maintenance requirements effectively. Utilize the advantages of analytics along with Industrial IoT technologies to achieve a more comprehensive understanding of equipment on the plant floor, facilitating predictive maintenance capabilities. Keeping an eye on machine health is essential to minimize production interruptions that stem from unexpected failures and outages. By promoting predictive maintenance, the time required to assess machine health issues can be significantly reduced, while also enhancing the traceability of historical data. Integrate IT and OT data into a unified viewpoint to bridge the gap between plant floor information and MES data, thereby enabling more informed decision-making processes. Employ real-time data gathering and integrated analytics to monitor live data concerning machine health and performance, assess machines against optimal conditions, and issue early warnings about potential disruptions, which in turn helps in lowering overtime labor costs, scrap rates, emergency maintenance expenses, and adverse impacts on profit and loss. This comprehensive approach not only enhances operational efficiency but also fosters a culture of proactive management across the manufacturing process.

Harnessing digital transformation enhances the value of your resources and allows for the integration of predictive maintenance (PdM) techniques. By anticipating potential issues, you can avert expensive breakdowns, minimize downtime, and direct your efforts towards future innovations. Our extensive Asset Performance Management (APM) software suite is specifically crafted to address contemporary industrial obstacles by utilizing industrial big data, cloud computing, artificial intelligence, digital twin technology, and augmented reality. With enhanced analytical capabilities, you can eradicate inefficiencies, streamline operations, and boost your bottom line. This cohesive multi-dimensional information framework aggregates data from various origins, providing meaningful context for reporting and dashboard applications. Elevate your plant's performance in near real-time by facilitating detailed analytics in your business intelligence tools centered around industrial data. By connecting your workforce, processes, and technology, you can swiftly implement a risk-based asset management strategy aligned with your organizational goals, ensuring a resilient and adaptable operational framework for the future.

Eliminate uncertainties and poorly informed decisions in your business operations. When managing high-value assets, selecting the appropriate CMMS solution is essential. Aladdin stands out as the comprehensive CMMS that provides a holistic 360-degree view of your assets while driving business growth. With the capability to create and assign all work orders from a single platform, Aladdin streamlines your workflows and boosts productivity. By focusing on preventive measures, Aladdin ensures you are proactive rather than reactive, helping to avoid expensive emergency repairs and prolonging the lifespan of your essential assets. Its web and mobile dashboards deliver real-time, precise data that helps to eradicate inefficiencies and supports significant decision-making. Furthermore, Aladdin simplifies the storage and tracking of your assets' documentation and warranty details, allowing for the enforcement of service level agreements and accountability among stakeholders. With its sophisticated reporting features, Aladdin can help you remove obstacles and ensure compliance within your operations, ultimately leading to enhanced efficiency and success.

Power Factors’ Drive platform serves as a sophisticated cloud-based solution for managing the performance of renewable energy assets. This innovative software provides a comprehensive suite of tools designed for owners, operators, and asset managers, enabling them to effectively monitor, manage, and enhance the performance of their renewable assets, encompassing everything from operational oversight to detailed reporting and technical management. Building upon the data framework of the Drive platform, Drive Pro offers enhanced analytic capabilities that foster collaboration among stakeholders at every stage of asset performance management, which includes elements such as plant design, predictive modeling, and operations and maintenance (O&M). To complement these functionalities, our asset-focused enterprise asset management (EAM) system, Drive O&M, integrates flawlessly with the Drive platform, ensuring that operational events, maintenance records, and compliance obligations for each asset are interconnected. Furthermore, the incorporation of automated workflows and classifications for failures significantly contributes to maximizing the asset's lifespan while also optimizing O&M processes. This holistic approach not only enhances the efficiency of asset management but also supports sustainable energy initiatives.

MineCycle applications by Bentley provide specialized software for mine design, planning, and surveying, catering to both mine owners looking for enhanced planning strategies and EPC firms in need of effective bulk material handling designs. These applications enable the optimization of mine plans through real-time scheduling and assessments while leveraging up-to-date as-mined data to facilitate superior decision-making in planning and operations. Additionally, they accelerate the development and quality of FEL 1 and FEL 2 designs for bulk materials handling, encompassing a wide range of solutions such as mine surveying, GIS, water management, and asset performance management. By utilizing MineCycle™ Designer, mine operators can streamline their planning processes, completing comprehensive mine plans more efficiently within a unified platform that integrates design, analysis, and scheduling. This efficiency not only saves valuable time but also allows for greater exploration of alternative designs to identify the most effective mining strategies. With flexible and secure access to design data, stakeholders can make quicker and more informed decisions throughout the organization, ultimately enhancing overall operational effectiveness.

Our AI and IoT (AIoT) solutions empower clients to make informed business decisions by leveraging real-time data on the usage of their onsite equipment, which in turn enhances their capacity to improve customer service, logistics, and sales opportunities. By monitoring onsite temperature and performance in real-time, businesses can anticipate potential failures in refrigerators, vaccines, tests, and medications, thereby improving reliability. This technology allows for continuous performance tracking of machinery, enabling the delivery of value-added services while gaining insights into product usage. By adopting a proactive approach, companies can enhance customer satisfaction and provide valuable insights that promote optimal operational efficiency. Furthermore, it helps optimize compliance for in-store appliances and machinery while minimizing both inventory and maintenance expenses. In the food and beverage industry, chain stores manage thousands of locations, each equipped with multiple appliances, yet often lack the capability to effectively monitor and track the usage of these devices, which can lead to inefficiencies. Ultimately, implementing AIoT technology can transform the way businesses operate, fostering a culture of continuous improvement and greater accountability in appliance management.

We cater to numerous clients, ensuring daily prevention of downtime while significantly enhancing their financial outcomes. Explore approaches to eradicate downtime specific to your sector, leading to decreased financial setbacks and improved operational efficiency. Our continuous monitoring focuses on critical assets that could result in lost production and expensive repairs if they fail. Each year, organizations face production losses stemming from unexpected downtime and its repercussions. We can proactively monitor and address over 100 potential machine issues while they are still developing. These problems can often be detected weeks or even months before a failure occurs. Our platform offers comprehensive monitoring across various conditions and components, providing a complete overview of an asset’s health. By identifying issues early, we enable proactive measures that allow for the most cost-effective resolutions, minimizing unplanned downtime and lowering yearly machine repair expenses. We combine the strengths of human insight and advanced technology to guide our clients in determining the necessary actions to take. Ultimately, our commitment is to enhance operational reliability and safeguard against unexpected disruptions.

Quickly identify and forecast outages and impairments that impact subscribers, many of which often go undetected. This process unveils the implications, sources, and underlying causes of events, allowing for prioritization and expedited fault resolution while enhancing the user experience proactively. It dynamically forecasts and identifies outages and impairments across both mobile and fixed networks, as well as in physical and virtual environments. Abnormal events that influence network performance and user satisfaction are classified, correlated, and grouped for better assessment. Fault locations are isolated, and root causes are diagnosed to enable effective, coordinated, and prescriptive measures. By consolidating and analyzing data from various source systems, it breaks down silos and provides integrated insights. Additionally, it optimizes latency, network efficiency, and service delivery through comprehensive, multi-layered anomaly detection combined with correlated analytics. The system also identifies and resolves transient degradations and recurring issues that can hinder performance, ultimately delivering a superior user experience. This proactive approach not only improves operational efficiency but also fosters customer satisfaction and loyalty.

SparkPredict, the innovative analytics software from SparkCognition, is transforming maintenance practices by significantly reducing downtime and generating substantial savings in operational costs. This comprehensive solution processes sensor data and leverages machine learning to provide actionable insights, allowing for the identification of inefficient operations and the prediction of potential failures before they manifest. By integrating predictive AI analytics into your operations, you can safeguard your assets and ensure they remain operational. Moreover, it enhances labor productivity during downtimes by offering insights that guide necessary repairs. The use of machine learning also helps preserve the invaluable knowledge of your workforce by encapsulating their expertise. Not only can you anticipate machine issues with less effort, but you can also broaden the scope of asset failure predictions. Additionally, the system enables prompt and informed repair decisions through clear indicators of potential failures. To ensure ongoing predictive accuracy, it incorporates automatic model retraining, consistently refining its models to adapt and improve over time. Overall, SparkPredict offers a comprehensive approach to maintenance that balances efficiency and reliability.

Integrating observability with automated orchestration enables the development of self-managed and resilient applications on a large scale. Every moment, vast amounts of data pour in from observability and monitoring systems, collecting metrics, logs, and traces from all elements of intricate and changing applications. However, the challenge remains for humans to interpret and troubleshoot this information. They find themselves in a continuous loop of addressing alerts, pinpointing root issues, and deciding on effective remediation strategies. This traditional approach has not fundamentally evolved over the decades, remaining labor-intensive, reactive, and expensive. Causely transforms this scenario by eliminating the need for human intervention in troubleshooting, as it captures causality within software, effectively bridging the divide between observability and actionable insights. For the first time, the entire process of detecting, analyzing root causes, and resolving application defects is entirely automated. With Causely, issues are detected and addressed in real-time, ensuring that applications can scale while maintaining optimal performance. Ultimately, this innovative approach not only enhances efficiency but also redefines how software reliability is achieved in modern environments.

BQR's integrated solution, apmOptimizer, is used to optimize asset maintenance and logistics. It also serves as a strategic tool for asset design or overhaul. Using a flexible model that accounts for failures, inspections and maintenance, as well as downtime, cost, spare parts, maintenance, up time, and cost, apmOptimizer calculates expected asset behavior. Optimizer's modules help to determine the best maintenance and logistics policy, which minimizes the Life Cycle Cost (LCC), while still maintaining high asset availability.

Komodor simplifies the troubleshooting process for Kubernetes, equipping you with all the essential tools to resolve issues confidently. It oversees your entire Kubernetes ecosystem, detects problems, reveals their underlying causes, and provides the necessary context for effective and independent troubleshooting. The platform automatically identifies anomalies, deployment failures, misconfigurations, bottlenecks, and various health-related issues. It enables you to recognize potential problems before they escalate and impact end-users. By utilizing pre-designed playbooks, you can enhance root cause analysis, avoid disruptive escalations, and conserve valuable developer time. Moreover, it offers clear remediation guidance that empowers every team member to act like a seasoned troubleshooting expert, fostering a more resilient operational environment. This proactive approach not only enhances team efficiency but also significantly improves overall system reliability.

Connect2Assets empowers maintenance teams to utilize real-time condition information seamlessly integrated into their current workflows. Upon receiving a notification, users can efficiently generate a work order, input failure codes, reserve spare parts, and log labor hours directly within the Connect2Assets application. Moreover, tasks can be managed effectively by attaching supplementary documentation to the work order, which may include drawings, operational instructions, or wiring schematics. Additionally, users can link their existing automation systems to their EAM/CMMS solution, enabling the software to intelligently supervise the equipment under its management. By utilizing existing PLC/SCADA-generated condition and process data points, teams can monitor asset health without the need for new hardware purchases. Connect2Assets consolidates industrial data from various sites and integrates it with IBM Maximo, allowing users to access previously untapped SCADA/PLC data. This integration enhances decision-making in maintenance by providing a wealth of data, ultimately leading to more effective maintenance strategies and improved operational efficiency. Consequently, the ability to harness this extensive data stream empowers teams to proactively address maintenance issues before they escalate.

You can innovate faster in the cloud, improve user experience and future-proof applications. Splunk is designed for cloud-native enterprises and helps you solve current problems. Splunk helps you detect any problem before it becomes a customer problem. Our AI-driven Directed Problemshooting reduces MTTR. Flexible, open-source instrumentation eliminates lock-in. Optimize performance by seeing all of your application and using AI-driven analytics. You must observe everything in order to deliver an excellent end-user experience. NoSample™, full-fidelity trace ingestion allows you to leverage all your trace data and identify any anomalies. Directed Troubleshooting reduces MTTR to quickly identify service dependencies, correlations with the underlying infrastructure, and root-cause errors mapping. You can break down and examine any transaction by any dimension or metric. You can quickly and easily see how your application behaves in different regions, hosts or versions.

TabWare is the best Computerized Maintenance Management Software / Enterprise Asset Management Software (CMMS / EAM), for organizations of all sizes that want full functionality without the cost, resources and time required by other solutions. TabWare gives you the information you need in order to maximize your assets' performance, reduce maintenance costs, and improve your operational efficiency. TabWare makes it easy for organizations to get up-and-running in days. It also avoids the consulting-intensive, costly implementations that other CMMS/EAM solutions require. AssetPoint offers flexible deployment options, including a cloud computing solution (SaaS), which can be deployed onsite by companies or online to speed up adoption. TabWare can easily be customized to your work processes and integrated with your existing applications.

As industries advance technologically, maintaining plant profitability through a structured and accountable maintenance program has become essential. MP2 is a fully integrated asset management solution that allows companies to efficiently organize inventory, oversee equipment expenses, monitor equipment history, schedule preventive maintenance, keep confidential labor records, allocate resources, generate work orders, and requisition or purchase necessary parts, all while projecting potential equipment failures. Suitable for facilities of any size, MP2 can be installed on either standalone or client/server systems. Additionally, it boasts a seamless upgrade feature; users can input data into the standalone version and later transition to a client/server setup without needing to re-enter data, ensuring a smooth evolution of their maintenance practices. This remarkable flexibility and user-friendliness have made MP2 the preferred choice among maintenance professionals globally, often surpassing other management systems in popularity. Ultimately, the robustness of MP2 positions companies to thrive in increasingly competitive environments.

SoftExpert GRC serves as a comprehensive solution designed to streamline governance, risk, and compliance management within your organization. It enables adherence to corporate policies and legal requirements while seamlessly aligning business strategy with risk management practices. Within a unified environment, you can oversee various governance components, including risks, controls, requirements, internal audits, policies, and procedures that pertain to organizational operations. The platform provides straightforward access to risk assessments, controls, and action plans linked to the organization's processes or initiatives. By automating repetitive tasks, it enhances efficiency and minimizes the likelihood of process failures. Additionally, it helps in pinpointing the underlying causes of compliance challenges and swiftly implementing corrective measures to address them. Enhanced transparency in outcomes is achieved through visual and collaborative portals that communicate key indicators and targets effectively. This integration not only improves compliance but also fosters a culture of accountability within the organization.

A comprehensive solution for monitoring and predictive analysis can enhance equipment condition tracking and streamline maintenance and repair processes. This involves utilizing predictive analysis to ensure production process quality and assess potential risks of exceeding maximum permissible loads through detailed unit operation evaluations. By implementing predictive analysis of unit conditions, emergency shutdowns can be effectively minimized. Furthermore, evaluating the quality of repair work by comparing equipment performance before and after servicing is critical for continuous improvement. The integration of automatic controls for manual repair and maintenance tasks enables efficiency and accuracy in operations. Additionally, predictive analysis aids in strategic maintenance and repair decisions while facilitating informed purchases of new equipment based on intelligent load balancing of current assets. Spare parts and consumables can also be optimized through intelligent failure predictions, reinforcing a proactive approach to equipment management. Overall, this solution supports a robust framework for enhancing operational reliability and efficiency.

UptimeAI, an artificial Intelligence company, offers the first virtual AI assistant for plant operations. UptimeAI's AI Expert combines artificial intelligence and subject matter knowledge from over 200 years of combined experience to help you understand interrelations between upstream and downstream equipment, identify issues, and provide prescriptive diagnosis on a large scale. AI Expert continuously learns and provides prescriptive actions to improve availability, efficiency, and eliminate unplanned downtime. These benefits include: • 5X reduction in false alarms and manual effort. • 100% coverage of static and rotating equipment with high ROI. • System-level models that reduce alarms and help to identify the cause. • Inferencing engine that can analyze 100+ types of equipment to identify failure modes and suggest mitigation. • Continuous learning that identifies the best practices and digitizes information. • High levels automation

Enhance organizational efficiency by optimizing business processes through advanced in-platform process mining techniques. Reveal insightful trends and patterns that shed light on the underlying causes of issues, allowing for a better understanding of how and why they arise. Evaluate and monitor team performance throughout your organization to drive improvements in workgroup outcomes. Simplify operations by identifying and eliminating redundant tasks and bottlenecks that hinder productivity. Achieve service excellence by utilizing an intuitive visual map that tracks real-time process performance, making it easy to spot areas needing attention. Instantly uncover hidden inefficiencies with just a click using comprehensive process data, while visual representations of workflows help in identifying and addressing bottlenecks swiftly. Accelerate process optimization with AI-driven analysis that highlights undesirable behaviors in workflows. Additionally, enhance compliance with regulations by proactively detecting any deviations and anomalies in processes, ensuring smooth and efficient operations across the board. Ultimately, this holistic approach leads to a more agile and responsive business environment.

Enhance your efficiency by shifting away from the conventional bottom-up method of managing IT infrastructure. Monitor business operations and manage events by identifying and evaluating incidents that influence the organization, then respond appropriately. Establish and execute telemetry from the perspective of the end user to effectively troubleshoot business challenges instead of merely reacting to changes in infrastructure components. By exploring the fundamental metrics, events, and logs of the infrastructure, TrueSight empowers you to tackle the root causes of application performance degradation. Utilizing predictive analytics, it can alert IT teams when a metric falls outside acceptable ranges up to three hours before it breaches the established baseline. Furthermore, it is crucial to pinpoint and rank the most critical business challenges, regardless of their origins, to significantly streamline subsequent event and impact management tasks. This proactive approach ultimately fosters a more resilient IT environment, ensuring smoother operations and better alignment with business objectives.

Simplifying DNS checks. With DNS Check, you can effortlessly monitor, share, and troubleshoot your DNS records. You can keep an eye on DNS records and name servers for any alterations or lookup failures, receiving notifications whenever a change occurs. You have the option to import your complete zone file or selectively monitor only the records that matter most. For sharing purposes, you can request updates on DNS records by providing a link that indicates which records are accurate and which are not, with alerts for any detected updates. Troubleshooting DNS issues is a breeze; if something malfunctions, our DNS checker will help you determine if a DNS problem exists and guide you on what needs fixing. Central to DNS Check is the DNS record checking tool that evaluates the DNS records you input against the responses from DNS servers. If a problem arises, this tool allows for quick identification of issues, including unresponsive name servers and incorrect IP addresses being returned. Additionally, our service aims not only to identify issues but also to empower users with knowledge on how to effectively resolve them.

We enable businesses worldwide to attain and enhance dependable asset performance. Additionally, we facilitate the acceleration of digital transformation through the integration of Industry 4.0 technologies. Our team of experts adeptly interlinks assets, personnel, systems, data, and technology to generate valuable insights that guide your organization forward. With nearly 25 years of experience, we have developed specialized knowledge by collaborating with asset-heavy sectors such as oil and gas, fast-moving consumer goods, energy, utilities, water and wastewater, as well as metals and mining. Our dedication to your success encompasses all aspects: from crafting strategies and deriving insights to executing implementation plans and delivering fully operational solutions that yield measurable improvements. We believe that our collaborative approach not only serves your immediate needs but also positions your organization for long-term growth and resilience.

Craft personalized monitoring solutions for your machine learning models using our incredibly intuitive monitor builder, which alerts you to problems such as concept drift, declines in model performance, and bias, among other issues. Aporia effortlessly integrates with any machine learning infrastructure, whether you're utilizing a FastAPI server on Kubernetes, an open-source deployment solution like MLFlow, or a comprehensive machine learning platform such as AWS Sagemaker. Dive into specific data segments to meticulously observe your model's behavior. Detect unforeseen bias, suboptimal performance, drifting features, and issues related to data integrity. When challenges arise with your ML models in a production environment, having the right tools at your disposal is essential for swiftly identifying the root cause. Additionally, expand your capabilities beyond standard model monitoring with our investigation toolbox, which allows for an in-depth analysis of model performance, specific data segments, statistics, and distributions, ensuring you maintain optimal model functionality and integrity.

cpmPlus OEE is a software solution designed for real-time performance measurement and analysis that enhances plant productivity by pinpointing opportunities to boost Overall Equipment Effectiveness (OEE). OEE serves as a key performance indicator in the industry for assessing productivity, composed of three essential elements: Availability, Performance, and Quality, making it applicable across various sectors and processes. By utilizing cpmPlus OEE, manufacturers can identify areas for enhancement and effectively prioritize initiatives aimed at improving production efficiency. This tool not only facilitates the execution of productivity enhancement programs but also offers analytical capabilities to assess the effects of specific improvement measures. For instance, organizations can leverage cpmPlus OEE to gauge the impact of changes in organizational structure or the introduction of new equipment on their productivity levels. Additionally, due to its standardized approach to measuring productivity, cpmPlus OEE is invaluable for benchmarking and facilitating impartial comparisons among different production lines within a single organization, thereby fostering a culture of continuous improvement. Ultimately, the insights gained from cpmPlus OEE empower manufacturers to make informed decisions that drive operational excellence.

CONSOLIDATION Centralize all your activities in one single solution while addressing your business issues – including fund, portfolio, mandate, discretionary management, hedge funds, multi-custodians, multi-entities, local and international players, etc. AUTOMATION Eliminate your manual processes and reduce operational risk by automating and streamlining your business processes with full-STP workflows and real-time data sharing between all your Front, Middle and Back office teams. PERFORMANCE OPTIMIZATION Steer your performance and mitigate risks thanks to decision making tools based on IBOR real-time calculation engines (simulation, ex post and ex ante market risk monitoring, performance analysis, stress tests) REGULATORY COMPLIANCE Benefit from an embedded library of pre-configured ratios to monitor your regulatory and statutory commitments in pre and post trade CUSTOMER REQUIREMENTS COMPLIANCE Take advantage of a flexible and scalable rules engine to ensure compliance with customer requirements – in terms of risk-taking, asset allocation, blacklists, etc. and automate customized reports generation for each customer

Viaduct harnesses its proprietary AI technology to uncover concealed patterns within intricate time series data, allowing asset manufacturers and operators to convert this data into reduced warranty expenditures, minimized downtime, and enhanced customer satisfaction. By detecting anomalies weeks or even months ahead of standard warranty evaluations, Viaduct autonomously differentiates impacted groups based on variables including production batch, assembly line, operational cycle, and environmental conditions. The platform consolidates all connected asset information into a single, organized interface, facilitating automated problem identification, expedited investigations, and forecasting of asset-related risks. By leveraging Viaduct's capabilities, manufacturers and operators can decrease warranty costs by pinpointing underlying quality issues significantly earlier than traditional methods, achieving an average reduction in warranty expenses of 12%. Additionally, they experience a 23% decline in unexpected downtime through AI-based failure prediction and prevention strategies, while also creating tailored maintenance schedules for each asset to optimize performance and reliability. This comprehensive approach not only streamlines operations but also fosters continuous improvement in asset management.

APM serves as a catalyst for the shift towards reliability-centered maintenance and risk-based inspections, utilizing advanced tools. This technical analysis emphasizes the application of asset performance management technologies within Industry 4.0, specifically tailored for the Power Generation sector. As we transition from a digitalization framework to full digital transformation, the Digital Twin emerges as a crucial component that provides predictive insights and streamlines daily operations, resulting in improved business performance. By examining the underlying technology, we can visualize and contextualize data precisely when and where it is necessary, enabling effective decision-making in operational, maintenance, and engineering domains. Furthermore, Digital Twins are essential in reconciling capital expenditures with operational expenses, ultimately reducing the overall cost of ownership while maximizing asset returns. This holistic approach not only enhances efficiency but also fosters a more sustainable and innovative operational environment.

Monitoring and analyzing water quality is a vital aspect of operational efficiency. With Ecolab’s innovative water quality intelligence, driven by ECOLAB3D, users gain access to crucial insights at various levels, including site, asset, and enterprise. Our cutting-edge industrial water treatment solutions are designed to pinpoint water quality challenges and detect underperforming assets, enabling prompt actions to conserve water, reduce energy usage, and lower expenses. By integrating controller data, field observations, laboratory results, and customer-defined key performance indicators, Water Quality Intelligence provides real-time updates to enhance decision-making. The capabilities for monitoring and managing water quality empower swift responses to emerging issues, boost asset performance, and prevent expensive operational disruptions. This system offers comprehensive visibility into performance across enterprise, site, and asset levels, thereby improving asset integrity by preemptively addressing potential failures. Additionally, it enhances industrial energy efficiency by delivering insights that help identify and mitigate water waste, ultimately fostering a more sustainable operation. As a result, organizations can not only optimize their resources but also contribute positively to environmental conservation efforts.

Expertune PlantTriage stands out as an award-winning PID tuning software, crafted by a team boasting extensive expertise in controls spanning hundreds of years. This innovative tool continuously observes your plant, swiftly pinpointing issues as they arise. It evaluates and ranks information based on both technical and economic considerations, assisting in uncovering the root causes of problems while offering a comprehensive suite of analytical tools aimed at addressing them effectively. With round-the-clock surveillance, Expertune PlantTriage diligently monitors processes every day of the year, detecting issues in real time. It quickly highlights control loops that significantly influence business profitability, production efficiency, reliability, and overall quality. Leveraging a Big Data methodology, the root cause identification feature expedites the discovery of the underlying reasons for disruptions. Additionally, through Active Model Capture Technology, it enables automatic tuning of control loops for peak performance, achieving optimal settings in mere minutes and simulating the precise response characteristics desired. In summary, Expertune PlantTriage not only enhances operational efficiency but also empowers organizations to maintain high-quality standards.

IBM® Z® Operations Analytics is a powerful tool designed to facilitate the searching, visualization, and analysis of extensive structured and unstructured operational data within IBM Z environments, encompassing log files, event records, service requests, and performance metrics. By utilizing your analytics platform alongside machine learning, you can enhance enterprise visibility, pinpoint workload issues, uncover hidden challenges, and expedite root cause analysis. Machine learning aids in establishing a baseline of typical system behavior, enabling the detection of operational anomalies efficiently. Additionally, you can identify nascent issues across various services, allowing for proactive alerts and cognitive adjustments to evolving conditions. This tool offers expert recommendations for corrective measures, enhancing overall service assurance. Furthermore, it helps in spotting atypical workload patterns and reveals common problems that may be obscured in operational datasets. Ultimately, it significantly diminishes the time needed for root cause analysis, thereby capitalizing on the extensive domain knowledge of IBM Z and applying its insights effectively within your analytics framework. By harnessing these capabilities, organizations can achieve a more resilient and responsive operational environment.

ServiceNow® Problem Management streamlines the process of restoring services, often enabling the prevention of future issues altogether. By utilizing a systematic workflow that identifies root causes and resolves problems, ServiceNow allows organizations to eradicate recurring incidents and lessen the effects of unforeseen disruptions. Through automated workflows, problem managers can conveniently document both workarounds and solutions, allowing IT teams to concentrate on their tasks and enhance productivity. With a unified perspective on incidents and related changes, IT professionals can provide quicker responses and effective resolutions. Accelerate the resolution process, reduce interruptions, and lessen the consequences by disseminating solutions and workarounds. Identify and tackle potential points of failure while assessing the impact of issues all in a single platform. By equipping IT with the tools to tackle problems at their origin, the likelihood of future disruptions from repeated incidents is significantly diminished. Furthermore, sharing updates with service subscribers fosters greater transparency and facilitates more effective collaboration among teams. As a result, organizations can work more cohesively and efficiently to improve overall service quality.

HxGN EAM, previously known as Infor EAM, is a premier SaaS-based asset management platform developed by Hexagon, designed to facilitate asset tracking, enhance maintenance processes, and empower businesses across various sectors to achieve optimal operational performance. The inclusion of native mobile applications greatly enhances the efficiency of field operations, allowing teams to dedicate their efforts to more strategic projects. Since the adoption of Infor EAM over 15 years ago, First Transit has consistently managed to lower its parts expenses by an average of 3-4% annually. The organization is actively pursuing a transition towards a paperless system by migrating its extensive engineering and maintenance functions to the Infor EAM Mobile platform. By utilizing HxGN EAM, users gain access to a comprehensive suite of tools essential for addressing critical asset performance issues. Leveraging its cloud-native architecture, the platform boasts a robust asset data framework, device-independent work orders enriched with barcoding capabilities, and integration with GIS (Geographic Information Systems) or BIM (Building Information Modeling), all of which contribute significantly to improving operational workflows. The adaptability and features of HxGN EAM make it a vital resource for organizations striving to enhance their asset management strategies.

Senseye PdM employs advanced proprietary machine learning techniques to anticipate potential asset failures before they occur. By automatically evaluating the performance of your machinery, Senseye can accurately forecast when maintenance should be performed. This allows maintenance teams to prioritize their efforts on the assets that require the most urgent care. With an easy-to-implement solution, organizations can reduce maintenance expenses while enhancing the accuracy of downtime predictions. Designed for scalability, Senseye PdM can accommodate any number of connected machines, whether large or small. The automated condition monitoring provides insights that emphasize only the most pertinent information. Users gain an understanding of how long their machinery is expected to operate before maintenance is necessary. The platform allows for the seamless analysis of tens of thousands of assets, providing a clear and ongoing indication of which machines need attention. Furthermore, Senseye ensures that industrial companies experience significant reductions in machine downtime, ultimately leading to enhanced operational efficiency and productivity.

Enhance your observability framework to swiftly identify data and machine learning challenges, facilitate ongoing enhancements, and prevent expensive incidents. Begin with dependable data by consistently monitoring data-in-motion to catch any quality concerns. Accurately detect shifts in data and models while recognizing discrepancies between training and serving datasets, allowing for timely retraining. Continuously track essential performance metrics to uncover any decline in model accuracy. It's crucial to identify and mitigate risky behaviors in generative AI applications to prevent data leaks and protect these systems from malicious attacks. Foster improvements in AI applications through user feedback, diligent monitoring, and collaboration across teams. With purpose-built agents, you can integrate in just minutes, allowing for the analysis of raw data without the need for movement or duplication, thereby ensuring both privacy and security. Onboard the WhyLabs SaaS Platform for a variety of use cases, utilizing a proprietary privacy-preserving integration that is security-approved for both healthcare and banking sectors, making it a versatile solution for sensitive environments. Additionally, this approach not only streamlines workflows but also enhances overall operational efficiency.

Transitioning from conventional frameworks, AssetMetric emerges as an innovative solution tailored for Asset Managers, equipping them with a comprehensive toolkit that safeguards critical business operations and reveals optimization prospects. One of AssetMetric's key advantages is its centralized data repository, which facilitates gradual business growth essential for cultivating sophisticated Asset Management strategies. Furthermore, AssetMetric aligns with Board-level goals by supporting strong Corporate Governance and Compliance measures. It effectively identifies significant Risk Types while also managing comprehensive Change Management strategies for Risk Mitigation, which are essential for configuring existing ERP/CMM systems. By transforming foundational data into an advanced model, AssetMetric enhances the optimization of PMs, Inventory Insurance Spare, Inventory, and Resource needs, all while considering Downtime Costs and associated Risks. Moreover, it empowers advanced business decision-making through insights derived from Life Cycle Costs that take into account variables such as Carbon, Water, and specific Energy expenses, ultimately driving sustainable business practices. This holistic approach ensures that organizations are well-equipped to adapt and thrive in a dynamic market environment.

The Advisory Services team comprises individuals with backgrounds as former C-suite executives from banks, credit and risk professionals, accountants, bank examiners, and BSA officers. Our firsthand experience in the banking industry enables us to effectively address the challenges faced by your institution. Whether it's navigating portfolio risk, CECL, BSA/AML compliance, fraud prevention, asset/liability management, or deposit pricing, our dedicated team is ready to assist you in critical areas. Together, we can ensure your institution remains focused on achieving greater profitability and success in the competitive financial landscape.

Shield34 stands out as the sole web automation framework that ensures complete compatibility with Selenium, allowing users to seamlessly continue utilizing their existing Selenium scripts while also enabling the creation of new ones through the Selenium API. It effectively tackles the notorious issue of flaky tests by implementing self-healing technology, intelligent defenses, error recovery protocols, and dynamic element locators. Furthermore, it offers AI-driven anomaly detection and root cause analysis, which facilitates a swift examination of failed tests to identify what changed and triggered the failure. By eliminating flaky tests, which often present significant challenges, Shield34 incorporates sophisticated defense-and-recovery AI algorithms into each Selenium command, including dynamic element locators, thereby reducing false positives and promoting self-healing alongside maintenance-free testing. Additionally, with its real-time root cause analysis capabilities powered by AI, Shield34 can swiftly identify the underlying reasons for test failures, minimizing the burden of debugging and the effort required to replicate issues. Ultimately, users can relish a more intelligent version of Selenium, as it effortlessly integrates with your existing testing framework while enhancing overall efficiency.

IBM Z Anomaly Analytics is a sophisticated software solution designed to detect and categorize anomalies, enabling organizations to proactively address operational challenges within their environments. By leveraging historical log and metric data from IBM Z, the software constructs a model that represents typical operational behavior. This model is then utilized to assess real-time data for any deviations that indicate unusual behavior. Following this, a correlation algorithm systematically organizes and evaluates these anomalies, offering timely alerts to operational teams regarding potential issues. In the fast-paced digital landscape today, maintaining the availability of essential services and applications is crucial. For businesses operating with hybrid applications, including those on IBM Z, identifying the root causes of issues has become increasingly challenging due to factors such as escalating costs, a shortage of skilled professionals, and shifts in user behavior. By detecting anomalies in both log and metric data, organizations can proactively uncover operational issues, thereby preventing expensive incidents and ensuring smoother operations. Ultimately, this advanced analytics capability not only enhances operational efficiency but also supports better decision-making processes within enterprises.

Enhancing the efficiency of assets is crucial for boosting reliability and availability, lowering expenses, and mitigating operational risks. Asset Performance Management (APM) encompasses a comprehensive collection of software and service solutions aimed at maximizing asset efficiency. By integrating various data sources, APM employs sophisticated analytics to convert data into practical insights, promoting collaboration and effective knowledge-sharing within an organization. Additionally, APM is tailored to improve both asset performance and operational maintenance efficiency across individual equipment, entire plants, and the whole fleet. With features such as Digital Twin analytics, automated work processes, and inherent expertise from GE, APM offers exceptional advantages for contemporary industrial operations, ultimately driving innovation and productivity. As industries evolve, the significance of such systems in ensuring optimal asset management cannot be overstated.