Asset Management Consulting Services for Maximized ROA
Asset management consulting serves to digitalize asset management for maximized ROA. In software development since 1989, ScienceSoft designs, develops, implements, and supports asset management solutions for tech-driven asset planning and optimization.
Go-to Functionality Modules and Integrations for Asset Management Solutions
Asset tracking and monitoring
- Up to 50% reduced asset downtime
- Up to 24% asset productivity increase
due to optimized asset usage, minimized asset loss and rationalized asset expenditure.
Asset maintenance management
- Up to 25% reduced maintenance costs
- Up to 70% fewer asset breakdowns
- Up to 12% fewer scheduled repairs
due to optimized asset maintenance and real-time monitoring of asset operation.
Asset planning and optimization
- Up to 21% OEE increase
- Up to 5% reduced capital investment
due to optimized asset utilization scenarios and asset investment planning.
Key integrations
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ScienceSoft recommends: to reduce time-to-insight, start with developing an MPV with the minimal optimal feature set to address most acute problems and then, if viable, extend the functionality with more advanced capabilities. |
More on enterprise asset management solution functionality, integrations, success factors and ROI in our Enterprise asset management software guide.
Asset Management Investments
The cost and duration of the asset management solutions ScienceSoft implements and supports depends on multiple factors, including:
- Types of assets, their number and growth rate.
- The number and diversity of the functional modules of asset management software. If case-specific functionality is required (e.g., asset condition monitoring, ML-based asset maintenance cost forecasting, real-time object recognition).
- Number and complexity of systems to integrate with (custom and off-the-shelf software, hardware (barcodes, tags, chips, etc.).
- Complexity of the required asset analytics reports and dashboards.
- Solution availability, performance, security, latent capacity and scalability requirements.
- Number of platforms supported (web, mobile, desktop).
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ScienceSoft recommends: to reduce asset management implementations costs, consider:
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Solid experience in advanced technologies
- 32 years in data analytics, data science, ML and AI.
- 16 years in BI solutions and data visualization.
- 9 years in IoT (expertise in all components of an asset tracking ecosystem, including IoT data capture, storage and analysis).
- 7 years in big data.
- 7 years in image analysis, including defect recognition and machine vision-supported remote monitoring.
Strong team of consultants
- 25+ business analysts with hands-on experience in manufacturing, logistics, oil & gas, telecom, retail, healthcare, professional services.
- 20 + software architects.
- In-house Project Management Office experienced in complex projects on software integration and elaborate enterprise systems, e.g., ERP solutions with 500+ functions.
Proven tech capabilities
- Partnerships with Microsoft, Amazon, Oracle, IBM.
- 9 Microsoft Gold Competencies: Application Integration, Application Development, Data Analytics, Data Platform, Collaboration and Content Competency.
- ISO 9001 and ISO 27001-certified assuring the quality of the services provided and the security of our customers' data.
Our Portfolio for Asset Management Digitalization
Fleet Maintenance Software Development
- Real-time role-based dashboards to monitor and control fleet.
- Automatic inspection/availability checklists for each equipment type.
- Push notifications for critical events.
- Automatic maintenance remainders and maintenance completion reports.
Technologies: Microsoft Azure, .NET, ASP.NET MVC, Microsoft SQL Server, Xamarin, iOS, Android.
Development of Software for Managing Building Inspections
- Functionality for customer support specialists: configuring request settings, managing inspectors and necessary inspection procedures, etc.
- Functionality for inspectors: viewing the list of assigned inspections, assigning/changing set time of inspection, cancelling an inspection, etc.
Technologies: ASP.NET Web Forms, DevExpress, C#, Microsoft SQL Server, Java , etc.
Development of Defect Recognition Software for an Oil Drilling Equipment Manufacturer
- Optimized drilling equipment condition monitoring.
- Timely detection of emerging drill bit defects with machine learning and visual recognition algorithms.
- ML-based recommendations on an optimal date for drill bit replacement and maintenance.
Technologies: TensorFlow, Keras, OpenCV, Scikit-learn, NumPy.
Development of an RFID-Enabled Application for Livestock Management
- RFID-based wireless collection of livestock data from the field for animal monitoring and management of various farm activities.
- Reduced time spent on data gathering and processing with RFID tags, scanners and palmtop.
Technologies: C++, C#/.NET, Bluetooth API, Windows API, COM
Development of an IoT Solution for Construction Health Monitoring
- Real-time monitoring with sensors installed on the key elements of a building.
- Automatic notifications for operators about a sensor failure or a construction defect.
Technologies: .NET 4.0, WPF, WCF, SOA, NHibernate, Ninject, NLog, Castle, AvalonDock, NUnit, Moq, Microsoft SQL Server Compact, SQLite, etc.
Development of a Truck Temperature Monitoring Solution
- A GPS-based solution for real-time cargo temperature and humidity monitoring.
- Alerting on delivery violations.
- Advanced reporting capabilities to display detailed information about a particular delivery, including temperature, humidity, door opening and closing, damaged packaging, etc.
Technologies: AWS, PHP, Symfony 2, AngularJS, .NET WPF.
Oil Well Monitoring Application Development
- User-friendly web-based application.
- Monitoring the condition of rod pumping equipment at any time and from any device.
Technologies: HTML5, CSS3 (SASS), Angular 1.5, Angular Material, xml2json.js.
Technologies and Methodologies We Use
BA tools and methodologies
Document analysis
Value chain analysis
NPV, ROI, IRR, payback period, WACC
Lean Six Sigma
BPMN
Issue trees
McKinsey 7S Framework
Risk assessment matrix
Interviews
Surveys
Focus groups
Programming languages
Back end
Front end
Mobile
Data storage and databases
Azure
AWS
Google Cloud Platform
Others
Big data
AI and Machine Learning
Programming languages
Frameworks
Libraries
Cloud services
Clouds
Click on the technology to learn about our capabilities in it.
DevOps
Containerization
Automation
CI/CD tools
Monitoring
Data visualization
Real-time data processing
Asset management advisory
Timeline: 4-8 weeks
- Analysis of asset management needs and implementation drivers.
- Assessment of the current asset management processes supported by technology (the automation level of the asset-related processes, features in and out of use, integrations, etc.).
- Asset management solution conceptualization and design.
- Selection of a suitable AM platform, optimal plan/edition selection with the list of needed modules and features, customization and integrations specification (if required).
- Custom asset management solution architecture and infrastructure design, tech stack selection, UX and UI design.
- AM solution implementation planning, including cost and time budget estimation, etc.
Asset management advisory + implementation and support
Timeline: ~2-10 months
- Asset management needs analysis and solution conceptualization.
- Asset management software architecture design (for custom solutions).
- PoC implementation (optional).
- Asset management software development/customization.
- Integration of the asset management solution/solution components into the existing IT ecosystem.
- Hardware installation and integration (if applicable).
- Asset management quality assurance (functional, UI, API testing, etc.).
- Data migration.
- Deployment to production and user training.
- After-launch support and evolution.
- SLA-based asset management solution administration, monitoring and maintenance.
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Note: to help you reduce AM project risks, we offer starting our cooperation with:
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