Predictive Analytics

Enrich product development with
predictive analytics.

Scale with Predictive Analytics

  • Sharpen forecasts.
  • Better predict product performance, failures, and downtime.
  • And generate more value for their business and customers.

Many organizations focus their attention on the cost of new products and the expected ROI while consumers are concerned with a product’s value/price ratio, its level of innovation, and quality. Devsu’s predictive analytics solutions can help you mitigate these concerns so you satisfy the needs of both the business and your customers.

Our advanced analytic capabilities span ad-hoc statistical analysis, predictive modeling, data mining, optimization, machine learning, and more to help companies evolve into data-driven, insight-based organizations.

What can Predictive Analytics do for you?

With consistent measuring and predictive analysis, you can act with confidence throughout the product development process by:

  • Transforming volumes of data (internal and external) into measurable, actionable information.
  • Improving the speed and quality of decision making.
  • Developing forward-looking—rather than retrospective—strategies.
  • Shifting decision-making from an executive-level task to an all-employee pursuit.
  • Using digital capabilities to deliver insights and knowledge across the organization.

Deepen Insights Across PLM Systems

By incorporating predictive analytics into your product lifecycle management systems, our data scientists can derive and deepen insights during the product development process across multiple business functions.

Cost Management

Recieve cost estimates and cost rollups for different product configurations and bills of materials. Simulate, analyze and optimize product costs to assure the right decisions are made at the right time and ensure product profitability.

Regulatory Compliance

Perform what-if analyses on product variants to understand how design changes affect compliance status and also receive methods and controls to ensure regulatory compliance.

Supplier Management

Improve visibility into supplier data (approved suppliers, quality, performance, delivery mechanism, material availability, cost, etc.) by combining silos of data from multiple sources.

Service Issue Management

Resolve customer complaints by obtaining a 360-degree view of issues and performing root cause analyses.

Change Management

Analyze change requests to identify deviations and assess the impact on design and manufacturing. Gain insights from historical changes to help effect future modifications in a faster, more efficient manner.

Quality Management

Analyze quality data from manufacturing, customer support, and adverse events to gain insights for initiating corrective actions.

Our Analysis Process

Our data science team uses a highly-collaborative, five-step process to build data models that reflect real-world scenarios at every stage of development and ensure your product meets expectations.


We work to understand your business problem by gathering past and present product attributes and properties.


We collect data on product performance by modeling the relationship and correlation between past and present product attributes and properties.


We capture product performance from market and test data, identifying features that are most in demand.


We establish an algorithm to determine the performance of future products based on in demand features and let our models predict the best combination of attributes.


We finalize our model by balancing its predictions with business logic and organizational capabilities.

What Else Can Devsu Build For You?

Devsu's talent pool runs deep with skilled tech experts who can serve a range of industries from banking to automotive, education, and much more. Our teams are always ready to lead any project with the right skills and knowledge.

How we do it



Apache JMeter





QA services for leading financial institution

How Devsu’s Quality Assurance - QA Improved IT Output

View case study

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