Empower healthcare organisations of all sizes to re-imagine the ways they bring together people, processes and health data insights to improve care delivery. Discover healthcare provider solutions to better enable personalised care, empower care teams and improve operational outcomes within a secure and compliant environment.
Data is key to transformation, but realizing its promise requires
a holistic approach to system integration and optimization
of patients are interested in using telehealth to replace cancelled visits
of health data is unstructured and inaccessible for insights
of providers’ time spent on analytics is wasted on data ingestion and unification
is lost to data breaches every year amid security and compliance pressures
Manufacturing sustainable future
Azure Cloud for Manufacturing supports core processes and requirements of the manufacturing industry. End-to-end manufacturing cloud solutions securely connect people, workflow, assets, and business processes for empowering organizations to be more resilient.
Manufacturing sustainable future
Hanu’s Azure Cloud for Manufacturing supports core processes and requirements of the manufacturing industry. End-to-end manufacturing cloud solutions securely connect people, workflow, assets, and business processes for empowering organizations to be more resilient.
Engage industrial workers in new ways. Reskill your workers and increase customer satisfaction with new digital experiences.
Build More Agile Factories
Industrial IoT, cloud, AI, and mixed reality for the productive and smart factory of the future. Remote manufacturing operations, transform operation management, automated quality control, and inventory planning and optimisation.
Unlock Manufacturing Innovation
Digital feedback loops and digital twins to accelerate the engineering of new business value.
Create More Resilient Supply Chains
Improve end-to-end supply chain visibility, profitability, and agility through intelligent planning and execution, traceability, and demand sensing.
Do you know Manufacturers can save up to 30% in maintenance costs with Predictive Maintenance?
Predictive Maintenance is emerging as a key driver of the digital revolution in the Manufacturing Industry.
GLDD is North America’s dredging industry leader, the largest provider of marine dredging, and have a long history of performing significant international projects..
Mott MacDonald was spending too much on their aging on-premise infrastructure and sought an agile, cloud solution to:Learn More
Joe Testa, Director of Cloud Transformation and Infrastructure, at Church & Dwight, explains the cost savings the company has achieved migrating workloads to Microsoft Azure...Learn More
Faced with an oversized, old, unscalable, out of warranty hardware supporting its key ERP application, Helios Photo Voltaic Limited (HPVL) needed to migrate its primary core ERP infrastructure...
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.
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
Start your Predictive Maintenance journey with Hanu’s 4-week Jumpstart Program
Hanu Microsoft Gold Partner has had success in predicting the probability of patient no-shows based on AI and Machine Learning programs that have changed the game for organizations.
For this, Hanu offers a Predictive Analytics 4-Week Jumpstart Program that can drive insights into potential “No-Shows” and help mitigate the impact of missed revenue while increasing patient care and satisfaction 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
- Predict potential No Shows
- Enable easy rescheduling recommendations
- Increased successful appointment rates
- Better patient outcomes
Ranked Top 5 Healthcare MSPs Expert
Hanu ranks among Top 5 Healthcare MSPs and among Top 15 Vertical Market MSPs
“Hanu’s flexible, client-centric focus, and deep knowledge of Healthcare industry applications and security and regulatory requirement sets us apart in operating 24/7 Microsoft Azure environments for Healthcare organizations”, said Dave Sasson, Chief Strategy Officer at Hanu.
4-Week Jumpstart Program
$1000s Of Dollars Saved with planned Maintenance, 30% Reduction of Maintenance Costs, 25% Improvement of Workforce Efficiency, 35% Reduction in Unplanned Downtime
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.
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
Customer Success Story
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Azure Manufacturing Cloud Assessment
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Ready To Take the Next Step In Manufacturing with Azure