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@2023 All rights reserved. Not for further distribution without the permission of Hanu. |
For more details, please reach out
to us:
Email: clear@hanu.com
Call: +1 800 520 1816
Get started
About Hanu
12+ years on Azure with more than 800 engagements
Microsoft Azure Expert Managed Service Provider and Cloud Solution Provider
Recognized by reputed institutes like ISG and Gartner for Azure capabilities
Microsoft India Partner of the year 2021 for Azure Technology and Microsoft US
Partner of the Year 2020 for Azure Data Estate Modernization
Microsoft Gold Certified in Cloud Productivity, Data Analytics and Platform with
Advanced Specializations in Modernization of Web Applications
For decades industrial organizations have witnessed
proliferating volumes of data and the constant pressure to
maintain scalability and cost efficiency into their operations.
Predictive Analytics helps organizations gain the highest
return on critical assets by supporting their predictive
maintenance.
Hanu’s Predictive Maintenance solution provides early warning
notification and diagnosis of equipment issues days, weeks
or months before failure. This helps asset-intensive
organizations reduce equipment downtime, increase
reliability, and improve performance while reducing
operations and maintenance expenditures.
It also integrates with a wide variety of data gathering IOT
technologies and control and monitoring systems in the
cloud. The system is highly scalable and can be used to
monitor a single asset, plant or hundreds of remote assets
across multiple sites.
Our Predictive Maintenance solutions combines the power
of Azure Synapse and our deep industry experience for
predictive equipment maintenance. Benefits and use-cases
of Predictive Maintenance :
Real-time alerts
Real-time data and monitoring are setup
with rich dashboards (including mobile),
process and asset-centric visualization and
alerting. Alerts can be managed in a variety
of ways including by alert category, level,
criticality, duration, and frequency. Each
alert event is also directly linked to a
graphical trend for that asset that shows
the event data, threshold limits, and times
when the values are in alarm.
Reduce downtime, tool failure,
and maintenance demands
With the insights, organizations can avoid
machine failures and unplanned downtime,
increase equipment and production line
productivity, and reduce maintenance
costs. It could help 25%-30% reduction in
maintenance costs, a 70%-75% decrease of
breakdowns and a 35%-45% reduction in
downtime.
Remote Maintenance
With remote and mobile asset tracking and
monitoring data, one can build remote and
mobile diagnostic analytics models. With
remote diagnostics, it would be possible to
give maintenance recommendations or
information to operators that are on
location to further reduce the need
for field technician’s visit.
Predictive Maintenance
4-week Jumpstart Program
For manufacturing, heavy engineering and
pharmaceutical companies
4-Week Jumpstart Program Includes
@2023 All rights reserved. Not for further distribution without the permission of Hanu.
For more details, please reach out
to us:
Email: clear@hanu.com
Call: +1 800 520 1816
Get started
Week 1
Assess data environment.
Create high-level roadmap and system architecture.
Week 2 and 3
Setup Azure Infrastructure for POC.
Enable data ingestion.
Train Machine Learning Models and test results.
Validate results and build visualizations.
Week 4
Conduct Workshop to educate team on implementation
process, pain points and mitigation plan.
Socialize POC results.
Knowledge Transfer: Codes and all artifacts for next level
references.
About Hanu
12+ years on Azure with more than 800 engagements
Microsoft Azure Expert Managed Service Provider and Cloud Solution Provider
Recognized by reputed institutes like ISG and Gartner for Azure capabilities
Microsoft India Partner of the year 2021 for Azure Technology and Microsoft US
Partner of the Year 2020 for Azure Data Estate Modernization
Microsoft Gold Certified in Cloud Productivity, Data Analytics and Platform with
Advanced Specializations in Modernization of Web Applications
1000s
Of Dollars Saved with
planned maintenance
30%
Reduction in
Maintenance Costs
25%
Improvement in
Workforce Efficiency
35%
Reduction in
Unplanned Downtime
High level post migration architecture.
1.
3. POC code and all artifacts for reference.
2. Migration estimates and budget.
Final Deliverables
4 weeks
Duration: $20,000
Cost:
$
Predictive Maintenance
4-week Jumpstart Program
For manufacturing, heavy engineering and
pharmaceutical companies

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Predictive Maintenance

  • 1. @2023 All rights reserved. Not for further distribution without the permission of Hanu. | For more details, please reach out to us: Email: clear@hanu.com Call: +1 800 520 1816 Get started About Hanu 12+ years on Azure with more than 800 engagements Microsoft Azure Expert Managed Service Provider and Cloud Solution Provider Recognized by reputed institutes like ISG and Gartner for Azure capabilities Microsoft India Partner of the year 2021 for Azure Technology and Microsoft US Partner of the Year 2020 for Azure Data Estate Modernization Microsoft Gold Certified in Cloud Productivity, Data Analytics and Platform with Advanced Specializations in Modernization of Web Applications For decades industrial organizations have witnessed proliferating volumes of data and the constant pressure to maintain scalability and cost efficiency into their operations. Predictive Analytics helps organizations gain the highest return on critical assets by supporting their predictive maintenance. Hanu’s Predictive Maintenance solution provides early warning notification and diagnosis of equipment issues days, weeks or months before failure. This helps asset-intensive organizations reduce equipment downtime, increase reliability, and improve performance while reducing operations and maintenance expenditures. It also integrates with a wide variety of data gathering IOT technologies and control and monitoring systems in the cloud. The system is highly scalable and can be used to monitor a single asset, plant or hundreds of remote assets across multiple sites. Our Predictive Maintenance solutions combines the power of Azure Synapse and our deep industry experience for predictive equipment maintenance. Benefits and use-cases of Predictive Maintenance : Real-time alerts Real-time data and monitoring are setup with rich dashboards (including mobile), process and asset-centric visualization and alerting. Alerts can be managed in a variety of ways including by alert category, level, criticality, duration, and frequency. Each alert event is also directly linked to a graphical trend for that asset that shows the event data, threshold limits, and times when the values are in alarm. Reduce downtime, tool failure, and maintenance demands With the insights, organizations can avoid machine failures and unplanned downtime, increase equipment and production line productivity, and reduce maintenance costs. It could help 25%-30% reduction in maintenance costs, a 70%-75% decrease of breakdowns and a 35%-45% reduction in downtime. Remote Maintenance With remote and mobile asset tracking and monitoring data, one can build remote and mobile diagnostic analytics models. With remote diagnostics, it would be possible to give maintenance recommendations or information to operators that are on location to further reduce the need for field technician’s visit. Predictive Maintenance 4-week Jumpstart Program For manufacturing, heavy engineering and pharmaceutical companies
  • 2. 4-Week Jumpstart Program Includes @2023 All rights reserved. Not for further distribution without the permission of Hanu. For more details, please reach out to us: Email: clear@hanu.com Call: +1 800 520 1816 Get started Week 1 Assess data environment. Create high-level roadmap and system architecture. Week 2 and 3 Setup Azure Infrastructure for POC. Enable data ingestion. Train Machine Learning Models and test results. Validate results and build visualizations. Week 4 Conduct Workshop to educate team on implementation process, pain points and mitigation plan. Socialize POC results. Knowledge Transfer: Codes and all artifacts for next level references. About Hanu 12+ years on Azure with more than 800 engagements Microsoft Azure Expert Managed Service Provider and Cloud Solution Provider Recognized by reputed institutes like ISG and Gartner for Azure capabilities Microsoft India Partner of the year 2021 for Azure Technology and Microsoft US Partner of the Year 2020 for Azure Data Estate Modernization Microsoft Gold Certified in Cloud Productivity, Data Analytics and Platform with Advanced Specializations in Modernization of Web Applications 1000s Of Dollars Saved with planned maintenance 30% Reduction in Maintenance Costs 25% Improvement in Workforce Efficiency 35% Reduction in Unplanned Downtime High level post migration architecture. 1. 3. POC code and all artifacts for reference. 2. Migration estimates and budget. Final Deliverables 4 weeks Duration: $20,000 Cost: $ Predictive Maintenance 4-week Jumpstart Program For manufacturing, heavy engineering and pharmaceutical companies