Data Analytics Consulting Services | Smart Machine Manufacturers

Manufacturing industry

Michael Drake
Vice President Of Engineering, Metron

"Their ability to rapidly innovate, try new things, and embrace a 'fail-fast' mindset has been a cornerstone of our success and a defining element of the partnership with Saviant."

Machinery Manufacturing industry

Guillermo Martos
Group IT Project Manager

"Users can now control devices through their mobile apps. An agile team, Saviant Consulting remained flexible and communicative throughout the engagement."

Manufacturing industry

Mark Shamley
VP of Operations

"They're honest and very diligent. They work hard to understand our business process so they can help us. I can trust them to do their best and get a successful outcome."

Data analytics consulting services for smart machine manufacturers

Most industrial enterprises critically need deeper visibility into their operations, to analyze past trends every day, and use derived insights to operate more predictably. Which means, the smart instruments or machines, deployed for monitoring these industrial operations, would need to collect real-time data and contextualize it for business KPIs, like performance, efficiency, throughput, root cause analysis and predicting the remaining useful life.

At Saviant, our data analytics consulting & implementation framework help instruments engineering & machine manufacturers to build customized data platforms and data analytics solutions that help them in meeting their business objectives. For example:

Developing a single source of truth

with data aggregated & contextualized from multiple sources like sensors, machines, ERP and WMS into a single source.

Extract Real-time and predictive insights

using statistical, ML models, and artificial intelligence, that use past and current data to predict outcomes like failures, defects.

Timely alerts and notifications

Enable customers and field service engineers with timely alerts triggered by insights generated from analytics.

Drill-down for root cause analysis

Intuitive visualizations & root cause analysis to help make decisions with respect to production, and field operations.

What we do - our service offerings

As machine manufacturers try to address industry challenges amid dynamic market conditions and latest technology trends, we help them accelerate their product development life cycle operations to build a resilient core, thereby speeding up time-to-market. Apart from helping in new product development initiatives, our teams also assist them in product migration and re-engineering their products to meet dynamic market conditions in terms of features, cost, and performance.

Product engineering & development

Starting from the innovation phase to product deployment and testing phase, we help you in complete product lifecycle. Whether it is cloud & mobility enablement, or adding intelligence to your existing products, our teams deliver all you need.

Product re-engineering

Scale-up your existing products to ensure tech readiness for the next 10 years. We help in re-architecting, re-factoring, or re-platforming existing technology stack and architecture, while enhancing/maintaining the present capabilities of your products, for scalability, security, and performance.

Continuous integration and deployment

We build DevOps strategies and CI/CD pipelines for new product development, deployment, and its continuous updates; through consulting, end-to-end implementation & infrastructure monitoring using DevOps tools like Maven, or Jira.

Product migration – Cloud, On-premises & mobile

Whether it is migrating your existing products to cloud, creating a hybrid structure, or extending your web-based products to mobile, our teams can help you.

Product testing & validation

We test and operate various products in a reliable way. Our teams leverage technology advancements for delivering quality-centric validation & verification services, to ensure your products make lasting impression.

Data platform & analytics

Extend your product capabilities with a combination of data analytics, ML-AI, and data mining, to deliver advanced products. Accelerate your product time-to-market using our proven industrial frameworks.

Learn more. Talk to our specialist

How we work with you - our data analytics consulting approach

Our team design and build custom data analytics solutions to realize your goals using a holistic approach, which includes:

1. Data maturity
assessment

Assessing what is the mechanism to capture data, what data is being collected, and ability to integrate with cloud platforms.

2. Creating
a roadmap

Understanding what’s missing to build a business use case, building a plan to design, build and deploy a data platform.

3. Designing
the architecture

Creating a scalable, reliable architecture which is
technology-ready for the next decade.

4. Building solution &
ongoing maintenance

to offer better value to your customers. Helping you to completely adopt the app through ongoing maintenance support.

Frequently Asked Questions

How can we ensure that our machine data is accurate and reliable for decision-making?

Data quality issues, such as inconsistencies, missing values, and sensor errors, can lead to incorrect insights. Proper data validation, cleansing, and governance strategies ensure that your analytics are based on reliable and high-quality data.

At Saviant, we offer data analytics consulting services to conduct in-depth data audits to identify inconsistencies and inaccuracies in your machine data. We implement advanced data validation frameworks, automate data cleansing processes, and establish governance policies to ensure that your analytics are always based on accurate, real-time, and trustworthy data.

Our machines generate different types of data—how can we make sense of it all?

Manufacturers often deal with structured data (sensor readings, logs) and unstructured data (images, audio). A well-defined data integration and processing strategy enables meaningful insights by harmonizing diverse data formats.

Saviant’s team specializes in integrating complex datasets from multiple sources, including IoT sensors, SCADA systems, and ERP solutions. We design customized data pipelines that harmonize structured and unstructured data, ensuring that your analytics provide a comprehensive and actionable view of machine performance.

How do we determine if our data is sufficient to implement predictive analytics?

The effectiveness of predictive models depends on the volume, variety, and history of data collected. A data assessment can reveal gaps and suggest improvements in data collection strategies.

Our consultants conduct detailed data readiness assessments to evaluate whether your existing datasets are sufficient for predictive analytics. They identify gaps, recommend strategies to improve data collection, and ensure that your historical and real-time data are optimized for building accurate predictive models.

Can analytics help us make real-time decisions on machine performance?

Yes, real-time analytics can process live data streams from machines, providing instant alerts on anomalies, inefficiencies, or potential failures. This helps in proactive maintenance and reducing downtime.

Saviant’s experts implement real-time data processing solutions using IoT and cloud-based analytics. They configure dashboards and automated alert systems that provide live insights into machine health, enabling your team to take immediate action and prevent costly failures before they happen.

How can we integrate analytics into our existing machine operations without disrupting production?

A step-by-step integration approach ensures that analytics solutions are gradually embedded into workflows, minimizing disruptions while maximizing insights from existing machine data.

Our data analytics consultants design phased implementation strategies that integrate analytics solutions with minimal operational disruption. They ensure seamless data flow between legacy systems and new analytics tools, providing smooth transitions that enhance efficiency without interfering with production.

Our machines are from different OEMs and use different protocols—can we still unify our data?

Yes, data analytics platforms can integrate diverse data sources from multiple OEMs by leveraging standardized industrial communication protocols and middleware solutions.

Saviant’s team specializes in integrating data from multi-vendor ecosystems using industrial communication standards like OPC UA, MQTT, and Modbus. They develop middleware solutions that enable seamless data exchange between different machine types, ensuring a unified and consistent analytics framework.

How can analytics help us improve machine reliability and customer satisfaction?

By identifying recurring faults, optimizing maintenance schedules, and providing remote diagnostics, analytics ensures better machine reliability and fewer breakdowns, leading to higher customer satisfaction.

Our data analytics consulting team designs AI-driven fault detection and predictive maintenance solutions tailored to your machines. They help you track machine performance trends, automate maintenance workflows, and improve response times to failures—ensuring that customers experience higher reliability, fewer disruptions, and improved satisfaction.

Any other questions not answered? Read more here

Data Analytics Consulting Services
for Smart Machine Manufacturers