For all Maximo users: want to take the next step and not only do maintenance, but also predict how you can cut cost even further?
#ibm #maximo. Feel to get in touch http://www.ibm.com/connect/ibm/be/en/resources/jos_wessels/
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
Modern CMMS today is giving greater freedom and accessibility to maintenance professionals than ever before with native mobile maintenance apps for iOs and Android devices. But the definition of mobility varies significantly among software providers – with some merely offering mobile capabilities to allow the automatic adjustment of screens to the device size, while others deliver apps with limited functionality. As more than 90 percent of current mobile device usage centers around apps, it’s critical to know the mobile CMMS distinction and how that will impact your organization. Click through this quick SlideShare to discover 5 reasons to use a mobile CMMS app.
These presentations are created by Tushar B Kute to teach the subject 'Management Information System' subject of TEIT of University of Pune.
http://www.tusharkute.com
Faststream’s Predictive maintenance platform uses condition-monitoring equipment to evaluate an asset’s performance in real-time in the manufacturing Industries. Using our Predictive maintenance for industry 4.0 we were able to prevent asset failure of various Factories and Manufacturing Companies. By analyzing production data to identify patterns and predict issues before they happen.
Using our IoT based Predictive Maintenance Solutions the Factory managers and machine operators can carry out scheduled maintenance and regularly repaired machine parts to prevent downtime. Our IoT allows for different assets and systems to connect, work together, share, analyze, and make actionable decisions on the data.
Faststream's Predictive Maintenance on Factory Maintenance helps maintenance managers and manufacturers to predict the likelihood of future failures and determine asset failure factors that could impact elevator operations. By incorporating Faststream Technologies IoT gateway, sensor node, and Microsoft Azure/AWS/Thinkspace Cloud platform, our solution can entitle with data statistics, state monitoring, fault alarming, remote management, maintenance supervision, emergency response advertisement placement, and other features.
Modern CMMS today is giving greater freedom and accessibility to maintenance professionals than ever before with native mobile maintenance apps for iOs and Android devices. But the definition of mobility varies significantly among software providers – with some merely offering mobile capabilities to allow the automatic adjustment of screens to the device size, while others deliver apps with limited functionality. As more than 90 percent of current mobile device usage centers around apps, it’s critical to know the mobile CMMS distinction and how that will impact your organization. Click through this quick SlideShare to discover 5 reasons to use a mobile CMMS app.
These presentations are created by Tushar B Kute to teach the subject 'Management Information System' subject of TEIT of University of Pune.
http://www.tusharkute.com
Maintenance managers should constantly review their maintenance process to determine if they are getting complete, reliable data to effectively manage and carry out their maintenance process. Learn more in this presentation by award winning maintenance management software provider MicroMain.
Steigern Sie ihre Produktivität um mehr als 25% - Reduzieren Sie kostenintensive Fehlerteile und steigern Sie hiermit ihre Qualität ! Made in Germany bekommt ein neues Gesicht !
MIS 17 Cross-Functional Enterprise SystemsTushar B Kute
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These presentations are created by Tushar B Kute to teach the subject 'Management Information System' subject of TEIT of University of Pune.
http://www.tusharkute.com
Explore the underlying principles that any organization can use to develop their own asset hierarchy. With the right asset hierarchy, an organization can endeavor to improve asset performance through such Reliability Centered Maintenance (RCM) activities as Failure Modes & Effects Analysis (FMEA), and Root Cause Analysis (RCA).
Performance Analytics for IT Operations ManagementJade Global
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ServiceNow® Performance Analytics for IT Operations Management is an easy-to-use, integrated application designed for reporting and analyzing operational performance and effectiveness in the ServiceNow enterprise cloud.
Maintenance managers should constantly review their maintenance process to determine if they are getting complete, reliable data to effectively manage and carry out their maintenance process. Learn more in this presentation by award winning maintenance management software provider MicroMain.
Steigern Sie ihre Produktivität um mehr als 25% - Reduzieren Sie kostenintensive Fehlerteile und steigern Sie hiermit ihre Qualität ! Made in Germany bekommt ein neues Gesicht !
MIS 17 Cross-Functional Enterprise SystemsTushar B Kute
Â
These presentations are created by Tushar B Kute to teach the subject 'Management Information System' subject of TEIT of University of Pune.
http://www.tusharkute.com
Explore the underlying principles that any organization can use to develop their own asset hierarchy. With the right asset hierarchy, an organization can endeavor to improve asset performance through such Reliability Centered Maintenance (RCM) activities as Failure Modes & Effects Analysis (FMEA), and Root Cause Analysis (RCA).
Performance Analytics for IT Operations ManagementJade Global
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ServiceNow® Performance Analytics for IT Operations Management is an easy-to-use, integrated application designed for reporting and analyzing operational performance and effectiveness in the ServiceNow enterprise cloud.
From Data to Insights: How IT Operations Data Can Boost QualityCognizant
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By leveraging highly-analyzed operational data - the voice of customers, machines and tests - quality assurance (QA) and IT groups can derive major gains in quality of apps and in user experience.
Are you looking for a way to improve your quality management systems, help your teams be successful, satisfy industry quality standards, and meet customer expectations? If so, you are not alone. Many organizations face the challenge of managing quality in a complex and dynamic environment. That's why we created TQMSOptima, the ultimate quality management software solution for your business. TQMSOptima is a cloud-based platform that integrates all aspects of quality management, from planning and execution to monitoring and improvement. With TQMSOptima, you can:
- Streamline your workflows and processes with smart automation and collaboration tools.
- Enhance your visibility and control over your quality performance with real-time data and analytics.
- Reduce your risks and costs with proactive prevention and corrective actions.
- Boost your customer satisfaction and loyalty with consistent and reliable delivery of quality products and services.
TQMSOptima is designed to help you achieve excellence in quality management, no matter what industry you are in or what size your organization is. Whether you need to comply with ISO 9001, IATF 16949, ISO 14001, AIAG, or other quality standards, TQMSOptima can help you do it with ease and confidence. TQMSOptima is more than just a software, it's a partner in your quality journey.
If you want to learn more about how TQMSOptima can transform your quality management capabilities, watch this video to see it in action. You will discover how TQMSOptima can help you:
- Define your quality objectives and policies
- Manage your documents and records
- Document and Analyze audit results and inspection data
- Handle non-conformities and deviations
- Implement corrective and preventive actions
- Perform root cause analysis and risk assessment
- Generate timely and relevant data to assist in the decision making process
- Create unique user dashboards for monitoring responsibilities
- And much more!
Don't miss this opportunity to see how TQMSOptima can make your quality management easier, faster, and better. Watch the video now and get ready to take your quality management to the next level with TQMSOptima! 🚀
#8dsoftware, #aiag, #aiagsoftware, #apqp, #apqpsoftware, #iatf16949, #iatf16949software, #iso 14001, #iso 9001, #iso9001software, #ppapsoftware, #pswsoftware, #qis, #qms, #qmssoftware, #qualityassurance, #qualitymanagement, #qualitysystems, #tqm, #tqmsoftware
Organisations are facing disruptive risks: globalisation, transformative technologies and complex regulations. This data sheet explains how you can increase efficiency and productivity of the enterprise audit process.
Is your organisation facing disruptive risk? Increase efficiency and productivity of the enterprise audit process. Effective Resource Management, Audit Analytics with Interactive dashboards and reports, Flexible Subscription Pricing. Any ERP system Oracle E-Business Suite, PeopleSoft, J D Edwards.
Increase efficiency and productivity of the Audit Process. Learn how to effectively gain insight into risk. Learn how to reduce risk and improve the audit process.
Transpara Visual KPI Overview - March 2017Transpara
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Visual KPI from Transpara is software the provides a single real-time view of operations across all of your data sources and on any device. https://www.transpara.com
Using Predictive Analytics to Optimize Asset Maintenance in the Utilities Ind...Cognizant
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Predictive analytics is a process of using statistical and data mining techniques to analyze historic and current data sets, create rules and predict future events. This paper outlines a game plan for effective implementation of predictive analytics.
Risk assessment usually involves complicated digital lending journeys of creating complex predictor and indicator models through multiple fragmented platforms. Siloed data across systems and spreadsheets delay risk reporting, updates to existing risk modelling system, increases costs and decreases operational efficiency.
This makes it difficult to keep pace with dynamic models, regulatory changes and emerging best practices. ORIGINATIONNEXT RAM represents a generational leap in risk assessment and rating by creating tighter integration between risk model developers, risk management teams.
IBM Maximo Asset Management 7.5 Add-onsAlok Chander
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IBM Maximo Asset Management solutions give you a single point of control over all types of assets — production, infrastructure, facilities, transportation and communications — by managing them all on a common platform. This platform allows sharing and enforcement of best practices, inventory, resources and personnel. Now you can optimize the performance of your assets and maximize return on investment.
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May Marketo Masterclass, London MUG May 22 2024.pdfAdele Miller
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Can't make Adobe Summit in Vegas? No sweat because the EMEA Marketo Engage Champions are coming to London to share their Summit sessions, insights and more!
This is a MUG with a twist you don't want to miss.
Understanding Globus Data Transfers with NetSageGlobus
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NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Large Language Models and the End of ProgrammingMatt Welsh
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Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...informapgpstrackings
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Keep tabs on your field staff effortlessly with Informap Technology Centre LLC. Real-time tracking, task assignment, and smart features for efficient management. Request a live demo today!
For more details, visit us : https://informapuae.com/field-staff-tracking/
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
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Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
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Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
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The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
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AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
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Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
1. Business Analytics
IBM Software IBM Predictive Maintenance and Quality
Reduce asset downtime
and improve product
quality
Maximize productivity and operational performance
In today’s uncertain economic climate, capital and operational budgets
remain tight, while assets’ availability and reliability may lag behind
baseline performance expectations. Asset downtime and poor quality
parts can be disastrous to meeting customer demands, and pose
potential risks to human safety. Breakdowns, ill-timed maintenance,
and stoppages due to quality issues can be wasteful, destructive and
inefficient. Leading companies focus on optimizing their physical assets
and operational processes to ensure they are functioning as intended
and the return on investment (ROI) is maximized.
IBM®
Predictive Maintenance and Quality helps asset-intensive
organizations keep manufacturing processes, infrastructure and field
equipment running in order to maximize utilization and performÂÂ-
ance and minimize costly, unscheduled downtime that can disrupt
production, service and delivery. In addition to manufacturing
machinery, IBM Predictive Maintenance and Quality helps to provide
insights into:
• Field-level assets (consumer appliances, vending machines,
heavy equipment machinery, all types of networks and connected
transportation, such as planes, trucks, buses, tanks, fleets, forklifts, etc.)
• Buildings (property, real estate, universities, stadiums corporate
offices, headquarters and field offices)
Highlights
• Anticipate asset maintenance and product
quality problems.
• Reduce unscheduled asset downtime.
• Spend less time solving production
machinery and field asset problems.
• Improve asset productivity and
process quality.
• Monitor how assets are performing
in real-time and predict what will
happen next.
• Identify poor quality issues earlier than
traditional quality control techniques.
2. 2
Business Analytics
IBM Software IBM Predictive Maintenance and Quality
Organizations using IBM Predictive Maintenance
and Quality can:
• Monitor, maintain and optimize assets for better
availability, utilization and performance. Gain better
visibility into assets via real-time monitoring, mobile,
decision management and predictive analytics capabilities.
• Predict asset failure and identify poor quality parts
earlier to better optimize operations and supply chain
processes. Extend predictive analytics from the asset to its
associated processes, such as quality and maintenance,
inventory and resource schedules — and provide insights for
both assets and processes.
• Make critical decisions faster and more accurately by
combining institutional knowledge and analytics.
Real-time, interactive dashboards and reports allow you to
quickly get different views and drill into information so
when something changes; you know immediately and can
take the recommended actions.
Don’t wait for failures — predict and
prevent them
Driven by business analytics, IBM Predictive Maintenance and
Quality brings insights to your desk, your iPad, or wherever
you are in the field. The software analyzes various types of data,
including usage, wear and conditional characteristics from
disparate sources, and proactively detects failure patterns. The
software sends those insights and optimized recommended
decisions directly to decision makers — so you can reduce
operational costs, improve asset productivity and increase
process efficiency.
The software product uses an open architecture to
connect a pre-configured software and content stack to
your environment. With out-of-the-box data connectors,
data schemas, predictive models, dashboards and reports,
it accelerates ROI and reduces the need for additional
services engagements.
3. 3
Business Analytics
IBM Software IBM Predictive Maintenance and Quality
The solution enables organizations to:
• Identify issues faster.
• Estimate and extend component life.
• Assess the health of an asset.
• Determine predictors to bad quality parts.
• Deploy maintenance and repair resources proactively.
• Reduce post-production warranty returns and recalls.
• Dramatically reduce downstream costs of lost field
productivity or poor quality.
• Optimize spare parts inventory
• Improve customer service.
From data collection to
recommended actions
As seen in Figure 1, IBM Predictive Maintenance and
Quality begins with the data. Due to its open architecture,
the software works with a variety of data sources and types
of data: structured or unstructured, real-time or batch,
streaming or at-rest. For example, the data may reside in
enterprise asset management systems, meters, sensors, and
supervisory control and data acquisition (SCADA) systems.
Pre-configured message paths allow for real-time
connections to the data. In the event you want to add a new
information source, you can quickly create new linkages with
no complicated programming. Similarly, the solution has a
preconfigured template for adding or modifying existing asset
information for safe and uniform master data entry.
Next, selected data is staged and aggregated in a centralized
data analytics store for pre-calculation. Key Performance
Indicators (KPIs) are made available for real-time, streaming
analytics. Within the relational data store, IBM SPSS software
(predictive analytics) and IBM Cognos software (business
intelligence) run the necessary analytics services — whether
descriptive, predictive, prescriptive or all three.
Figure 1: IBM Predictive Maintenance and Quality analyzes data
from multiple sources and provides recommended actions, enabling
informed decisions.
4. 4
Business Analytics
IBM Software IBM Predictive Maintenance and Quality
The analytics determine what data points or variables are key
predictors for a certain outcome, such as asset failure or poor
quality. Those key predictors enable the organization to focus
their energy and resources rather than reviewing the entire
data set in their root-cause analysis.
Finding ways of acting on the insights is typically one of
the biggest challenges for organizations. IBM Predictive
Maintenance and Quality enables those predictive insights
to become prescriptive actions by aligning and optimizing
rules-based decisions to a predictive outcome. While sophistiÂ
cated analysis occurs within IBM Predictive Maintenance and
Quality, users see summarized assertor quality health in an
easy-to-navigate, simple set of dashboards and scorecards.
Additionally, the decision or insight can be delivered as an
email, streamed to a mobile device or even sent back to an
enterprise asset management system, such as IBM Maximo®
Asset Management, where work orders can be launched based
on the predictive insights.
All this happens in real time, so you can monitor what’s
happening and even predict what will happen next.
IBM Predictive Maintenance and Quality enables your
organization to resolve issues before they escalate into
costly downtime or affect product quality.
Extend asset life
An electricity provider uses predictive maintenance
technologies to model the behavior of its turbines, and
monitors their performance in real time. When anomalies are
detected, it can quickly trigger maintenance resources to fix
problems before outages occur or efficiencies are reduced.
As a result, the company was able to reduce costs by up to
20 percent by avoiding the need to restart turbines after an
outage—an expensive process. The provider also enhanced
predictive capabilities from a 30-minute alert from the manu-
facturer to now being able to predict failure 30 hours before
it happens.
5. 5
Business Analytics
IBM Software IBM Predictive Maintenance and Quality
Under the hood of IBM Predictive Maintenance
and Quality
Diving deeper into the proven architecture (Figure 2),
IBM Predictive Maintenance and Quality includes capabilities
for master data management, advanced analytics, business
intelligence, workflows and dashboards. IBM Predictive
Maintenance and Quality supports three key data functions:
• Data integration and management
• Analytics
• Process integration
The data integration and management capabilities enable the
real-time connection and processing of production, quality and
field asset event data. It easily integrates with big data streaming
sources, such as sensors and Programmable Logic Controllers
(PLCs). Data integration involves integrating, connecting,
transforming, collecting, staging, scoring and orchestrating
various data types. Each data point is captured as an event and
stored within the data store, which contains the data model that
summarizes the relevant measurements, log data, failure data,
etc. This model is then used for predictive analytics, data
mining and exception reporting.
IBM Predictive Maintenance and Quality uses predictive,
prescriptive and descriptive analytics for asset maintenance
and production quality. The solution relies on three key
business analytics products:
• IBM SPSS®
Modeler performs the data mining and
statistical calculations behind predictive maintenance
insight. Through predictive modeling, IBM Predictive
Maintenance and Quality can detect anomalies and find
outliers; monitor activities and analyze logs to calculate
health scores; profile failures to better understand drivers;
and predict asset life spans.
• IBM Analytical Decision Management captures
institutional knowledge in the form of business rules for
systematic application into the analytic process. This
product also ensures that IBM Predictive Maintenance and
Quality can deliver recommended actions at the point of
impact when employees or systems need them most.
• IBM Cognos®
Business Intelligence provides real-time,
interactive reports and dashboards that easily adapt to
reflect changes in configuration settings applied during
implementation. These reports contain high-level
summaries with the ability to drill down for root-cause
analysis and additional exploration of the data.
Figure 2: IBM Predictive Maintenance and Quality uses data integration,
analytics and process integration.
6. 6
Business Analytics
IBM Software IBM Predictive Maintenance and Quality
Relevant master and meta-data required for predictive
maintenance is typically available in other systems or data
warehouses. When providing results, insights, or recommended
actions, IBM Predictive Maintenance and Quality connects
to a wide variety of sources and into existing Enterprise Asset
Management (EAM) systems, including IBM Maximo EAM
— so your organization can act efficiently in real time.
Predict production quality
A vehicle manufacturer wanted to improve its production
quality. IBM’s solution used real-time data to monitor
production quality and quickly identify and resolve issues.
As a result, the company reduced its defect rate in the
production of cylinder heads by 50 percent in 16 weeks,
improved production line productivity by 25 percent and
increased customer satisfaction.
Gain more value with IBM Predictive
Maintenance and Quality
From monitoring your assets to predicting and preventing
asset failure, IBM Predictive Maintenance and Quality
improves the accuracy and efficiency of your entire operational
process. As an integrated solution stack that includes data
integration services and business analytics software for asset
management, maintenance and quality issues, only IBM
Predictive Maintenance and Quality provides:
• Industry expertise — Cross-industry expertise from IBM
Software Services, IBM Global Business Services and IBM
Partners ensures alignment with your needs.
• Big data and predictive analytics — Advanced analytics
technology, tailored to the needs of the predictive asset
maintenance and quality space, including specialized
algorithms for wear and lifetime analysis, as well as for early
identification of poor quality issues relative to traditional
quality control techniques
• Accelerators — Predictive models, preconfigured
dashboards and visualization templates, and an analytics
data store within a service-oriented architecture enable
industry customization and easy adaptability in specialized
customer environments.
• Talent — A resource pool of subject matter experts and
industry experts with advanced analytics and predictive
maintenance experience.
• Deployment options — Software can be deployed in the
cloud, as well as on-premises, depending on customer need.
7. 7
Business Analytics
IBM Software IBM Predictive Maintenance and Quality
Results from recent IBM studies have found that, on
aggregate, companies that use predictive maintenance
solutions attain ten times higher ROI, a 20 – 25 percent
reduction in maintenance costs, a 70 – 75 percent elimination
of breakdowns, a 35 – 45 percent elimination in downtime and
a 20 – 25 percent increase in production than those that use
traditional approaches.1
With IBM Predictive Maintenance
and Quality, your company has the ability to spot problems
before they happen — and save time and money.
To learn more about predictive maintenance solutions
from IBM, visit https://ibm.biz/BdR6C9
About IBM Business Analytics
IBM Business Analytics software delivers data-driven
insights that help organizations work smarter and
outperform their peers. This comprehensive portfolio
includes solutions for business intelligence, predictive
analytics and decision management, performance
management, and risk management.
Business Analytics solutions enable companies to identify
and visualize trends and patterns in areas, such as customer
analytics, that can have a profound effect on business
performance. They can compare scenarios, anticipate
potential threats and opportunities, better plan, budget and
forecast resources, balance risks against expected returns and
work to meet regulatory requirements. By making analytics
widely available, organizations can align tactical and strategic
decision-making to achieve business goals. For further
information please visit ibm.com/business-analytics
Request a call
To request a call or to ask a question, go to
ibm.com/business-analytics/contactus. An IBM
representative will respond to your inquiry within
two business days.