Enterprise Asset Management Consulting Services 

Asset Management Consulting - ScienceSoft

Enterprise asset management (EAM) consulting serves to digitalize asset management for maximized ROA. In software development since 1989, ScienceSoft designs, develops, implements, and supports EAM solutions for tech-driven asset planning and optimization.

Go-to Functionality Modules and Integrations for EAM 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 for EAM Software

Valuable integrations for enterprise asset management software - ScienceSoft

ScienceSoft recommends: to reduce time-to-insight, start with developing an MVP 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.

Enterprise Asset Management Investments

The cost and duration of the EAM 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 EAM 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).

ScienceSoft recommends: to reduce enterprise asset management implementations costs, consider:

  • Iterative enterprise asset management software development and implementation.
  • Integrating the solution with the existing systems to cover some EAM functionality (ERP for work order management, accounting software for budgeting, etc.).
  • Simplifying UX and UI elements.

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Why Consider ScienceSoft as Your EAM Consultant

Solid experience in advanced technologies

  • 34 years in data analytics, data science, ML and AI.
  • 18 years in BI solutions and data visualization.
  • 12 years in IoT (expertise in all components of an asset tracking ecosystem, including IoT data capture, storage and analysis).
  • 10 years in big data.
  • 10 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, and Oracle.
  • ISO 9001 and ISO 27001-certified assuring the quality of the services provided and the security of our customers' data.

The Financial Times Includes ScienceSoft USA Corporation in the List of the Americas’ Fastest-Growing Companies 2023

For the second year in a row, ScienceSoft USA Corporation ranks among 500 American companies with the highest revenue growth. This achievement is the result of our unfailing commitment to provide high-quality IT services and create best-value solutions that meet and even exceed our clients’ expectations.

Our Portfolio for Enterprise Asset Management Digitalization

Fleet Maintenance Software Development

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

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

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

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

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

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

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.

Have an EAM Project in Mind?

We set up effective collaboration with your asset management experts to process requirements of any maturity – from a short idea description to a full RFP – and build advanced EAM solutions.

Technologies and Methodologies We Use

Programming languages

Back end

Microsoft .NET

Practice

19 years

Projects

200+

Workforce

60+

Our .NET developers can build sustainable and high-performing apps up to 2x faster due to outstanding .NET proficiency and high productivity.

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Java

Practice

25 years

Projects

110+

Workforce

40+

ScienceSoft's Java developers build secure, resilient and efficient cloud-native and cloud-only software of any complexity and successfully modernize legacy software solutions.

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Python

Practice

10 years

Projects

50+

Workforce

30

ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.

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Node.js

Practice

10 years

Workforce

100

ScienceSoft delivers cloud-native, real-time web and mobile apps, web servers, and custom APIs ~1.5–2x faster than other software developers.

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PHP

Practice

16 years

Projects

170

Workforce

55

ScienceSoft's PHP developers helped to build Viber. Their recent projects: an IoT fleet management solution used by 2,000+ corporate clients and an award-winning remote patient monitoring solution.

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C++

Practice

34 years

Workforce

40

ScienceSoft's C++ developers created the desktop version of Viber and an award-winning imaging application for a global leader in image processing.

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Golang

Practice

4 years

ScienceSoft's developers use Go to build robust cloud-native, microservices-based applications that leverage advanced techs — IoT, big data, AI, ML, blockchain.

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Front end

JavaScript

Practice

21 years

Projects

2,200+

Workforce

50+

ScienceSoft uses JavaScript’s versatile ecosystem of frameworks to create dynamic and interactive user experience in web and mobile apps.

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Angular JS

Practice

13 years

Workforce

100+

ScienceSoft leverages code reusability Angular is notable for to create large-scale apps. We chose Angular for a banking app with 3M+ users.

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React JS

Workforce

80+

ScienceSoft achieves 20–50% faster React development and 50–90% fewer front-end performance issues due to smart implementation of reusable components and strict adherence to coding best practices.

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Next.js

With Next.js, ScienceSoft creates SEO-friendly apps and achieves the fastest performance for apps with decoupled architecture.

MeteorJS

ScienceSoft uses Meteor for rapid full-stack development of web, mobile and desktop apps.

Vue.js

By using a lightweight Vue framework, ScienceSoft creates high-performant apps with real-time rendering.

Ember.js

When working with Ember.js, ScienceSoft creates reusable components to speed up development and avoid code redundancy.

Mobile

iOS

Practice

16 years

Projects

150+

Workforce

50+

ScienceSoft’s achieves 20–50% cost reduction for iOS projects due to excellent self-management and Agile skills of the team. The quality is never compromised — our iOS apps are highly rated.

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Android

Practice

14 years

Projects

200+

Workforce

50+

There are award-winning Android apps in ScienceSoft’s portfolio. Among the most prominent projects is the 5-year-long development of Viber, a messaging and VoIP app for 1.8B users.

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Xamarin

Practice

11 years

Projects

85+

Workforce

10+

ScienceSoft cuts the cost of mobile projects twice by building functional and user-friendly cross-platform apps with Xamarin.

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Apache Cordova

ScienceSoft uses Cordova to create cross-platform apps and avoid high project costs that may come with native mobile development.

Progressive Web Apps

ScienceSoft takes the best from native mobile and web apps and creates the ultimate user experience in PWA.

React Native

Practice

8 years

Projects

300+

ScienceSoft reduces up to 50% of project costs and time by creating cross-platform apps that run smoothly on web, Android and iOS.

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Flutter

ScienceSoft will save you from double or even triple expenses associated with platform-specific coding by creating cross-platform apps in Flutter.

Ionic

With Ionic, ScienceSoft creates a single app codebase for web and mobile platforms and thus expands the audience of created apps to billions of users at the best cost.

Data storage and databases

Azure

Microsoft SQL Server

Our Microsoft SQL Server-based projects include a BI solution for 200 healthcare centers, the world’s largest PLM software, and an automated underwriting system for the global commercial insurance carrier.

Azure SQL Database

Azure SQL Database is great for handling large volumes of data and varying database traffic: it easily scales up and down without any downtime or disruption to the applications. It also offers automatic backups and point-in-time recoveries to protect databases from accidental corruption or deletion.

Azure Cosmos DB

We leverage Azure Cosmos DB to implement a multi-model, globally distributed, elastic NoSQL database on the cloud. Our team used Cosmos DB in a connected car solution for one of the world’s technology leaders.

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AWS

Amazon Redshift

We use Amazon Redshift to build cost-effective data warehouses that easily handle complex queries and large amounts of data.

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Amazon DynamoDB

We use Amazon DynamoDB as a NoSQL database service for solutions that require low latency, high scalability and always available data.

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Google Cloud Platform

Google Cloud Datastore

We use Google Cloud Datastore to set up a highly scalable and cost-effective solution for storing and managing NoSQL data structures. This database can be easily integrated with other Google Cloud services (BigQuery, Kubernetes, and many more).

Others

MySQL

We’ve implemented MySQL for Viber, an instant messenger with 1B+ users, and an award-winning remote patient monitoring software.

Oracle

ScienceSoft's team has implemented Oracle for software products used by GSK and AstraZeneca. We’ve also delivered Oracle-based SCM platform for Auchan, a retail chain with 1,700 stores.

PostgreSQL

ScienceSoft has used PostgreSQL in an IoT fleet management solution that supports 2,000+ customers with 26,500+ IoT devices. We’ve also helped a fintech startup promptly launch a top-flight BNPL product based on PostgreSQL.

Big data

Apache Hadoop

By request of a leading market research company, we have built a Hadoop-based big data solution for monitoring and analyzing advertising channels in 10+ countries.

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Apache Spark

A large US-based jewelry manufacturer and retailer relies on ETL pipelines built by ScienceSoft’s Spark developers.

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Apache Kafka

We use Kafka for handling big data streams. In our IoT pet tracking solution, Kafka processes 30,000+ events per second from 1 million devices.

Apache Cassandra

Our Apache Cassandra consultants helped a leading Internet of Vehicles company enhance their big data solution that analyzes IoT data from 600,000 vehicles.

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Apache Hive

ScienceSoft has helped one of the top market research companies migrate its big data solution for advertising channel analysis to Apache Hive. Together with other improvements, this led to 100x faster data processing.

Apache HBase

We use HBase if your database should scale to billions of rows and millions of columns while maintaining constant write and read performance.

MongoDB

ScienceSoft used MongoDB-based warehouse for an IoT solution that processed 30K+ events/per second from 1M devices. We’ve also delivered MongoDB-based operations management software for a pharma manufacturer.

AI and Machine Learning

Programming languages

Python

Practice

10 years

Projects

50+

Workforce

30

ScienceSoft's Python developers and data scientists excel at building general-purpose Python apps, big data and IoT platforms, AI and ML-based apps, and BI solutions.

Find out more
Java

Practice

25 years

Projects

110+

Workforce

40+

ScienceSoft's Java developers build secure, resilient and efficient cloud-native and cloud-only software of any complexity and successfully modernize legacy software solutions.

Find out more
C++

Practice

34 years

Workforce

40

ScienceSoft's C++ developers created the desktop version of Viber and an award-winning imaging application for a global leader in image processing.

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Frameworks

Libraries

Cloud services

DevOps

Containerization

Automation

CI/CD tools

Monitoring

Data visualization

Power BI

Practice

7 years

ScienceSoft sets up Power BI to process data from any source and report on data findings in a user-friendly format.

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Real-time data processing

EAM Services We Offer

EAM advisory

Timeline: 4-8 weeks

  • Analysis of EAM and implementation drivers.
  • Assessment of the current EAM processes supported by technology (the automation level of the asset-related processes, features in and out of use, integrations, etc.).
  • EAM solution conceptualization and design.
  • Selection of a suitable EAM platform, optimal plan/edition selection with the list of needed modules and features, customization and integrations specification (if required).
  • Custom EAM solution architecture and infrastructure design, tech stack selection, UX and UI design.
  • EAM solution implementation planning, including cost and time budget estimation, etc.

see service deliverables

Deliverables:

Technical documentation:

  • Asset management solution architecture (for custom solutions).
  • Off-the-shelf software comparison (if required).
  • Software & hardware requirements specification (for custom solutions).
  • Configuration guides (for off-the-shelf software).
  • Infrastructure design.
  • UX and UI (re)design (for custom software).

Project documentation:

  • Feasibility study report and business case (asset management solution cost, outcomes, ROI, etc.).
  • Project plan with budget estimations and technical limitations.
  • Cost optimization plan.
  • Risk management plan.
  • Asset management KPI system to measure asset management software quality and business value.

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EAM advisory + implementation and support

Timeline: ~2-10 months

  • EAM needs analysis and solution conceptualization.
  • EAM software architecture design (for custom solutions).
  • PoC implementation (optional).
  • EAM software development/customization.
  • Integration of the EAM solution/solution components into the existing IT ecosystem.
  • Hardware installation and integration (if applicable).
  • EAM quality assurance (functional, UI, API testing, etc.).
  • Data migration.
  • Deployment to production and user training.
  • After-launch support and evolution.
  • SLA-based EAM solution administration, monitoring and maintenance.

see service deliverables

Deliverables:

  • Infrastructure configurations.
  • Documented code with unit tests.
  • API descriptions.
  • Test documentation.
  • Automated tests (API and UI tests).
  • User documentation.
  • Regular status reports.
  • Asset management KPI reports with recommendations for their improvement.
  • Asset management system maintenance reports.

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Note: to help you reduce EAM project risks, we offer starting our cooperation with:

  • Free advisory demo session – for you to check our expertise level.
  • Feasibility study – to make sure you win from EAM solution implementation.
  • Enterprise asset management PoC.