Starting with real business challenges, rather than tool-first implementations
Industry-Aligned Intelligence. Delivered with Precision
Each industry faces unique challenges requiring specialised solutions. Tailored offerings deliver targeted intelligence precisely aligned with specific industry needs and regulatory environments. Gain insight into how focused expertise provides practical, high-impact solutions for sector-specific transformation and growth.
Is Your Industrial Analytics Delivering
Tangible Operational Value?
Translating Complexity into Measurable Operational Impact
Effective data use in industry is not about the volume of data collected or the complexity of dashboards, but the tangible value derived. Industry Solutions, built upon the MOTIF framework, are designed to translate real-world operational events into precise, timely actions. This provides teams with the essential context needed to respond confidently, plan effectively, and adapt swiftly, ensuring your data directly enhances efficiency and profitability.
Why Motherson MOTIF?
Focused Analytics Engineered for Key Operational Needs
The Industrial Solutions portfolio comprises a set of specialised offerings, each engineered to address distinct business functions and specific industrial requirements. Built on practical outcomes and functional expertise, these solutions provide the focused intelligence needed to drive performance across critical areas of your operations.
Unifies customer data for clearer insights, enabling targeted engagement and improved strategic planning.
Provides end-to-end visibility into spend and supplier performance, strengthening negotiation and compliance.
Automates review of transactional data for compliance, streamlining exception tracking and audit preparation.
Delivers real-time shop floor insights to optimise production metrics and standardise quality control.
Maps buyer behaviour and market trends to equip sales teams with data for better planning and revenue growth.
Business-Centric Approach to
Industrial Analytics
Achieving genuine outcomes from analytics requires understanding specific operational realities. The approach adopted prioritises deep domain knowledge over solely deploying technology. This methodology, powered by the modular and adaptable MOTIF framework, focuses on delivering industry-aligned analytics workflows designed for addressing unique industrial challenges and opportunities.
Core Principles Guiding the Approach
Starting with real business challenges, rather than tool-first implementations
Utilising pre-built connectors and templates to accelerate time-to-value
Enabling controlled experimentation through dedicated sandbox environments
Supporting decision-makers with simplified access and contextual insights
Driving cross-functional impact, moving beyond isolated departmental wins
Efficiency Starts Where Data Meets Decisions
Real-time insights support rapid, agile responses to operational changes and market dynamics.
Provides foresight into cost drivers, revenue streams, and cash flow, supporting strategic financial management and planning.
Connects machine data, quality metrics, and resource utilisation data to minimise disruptions and improve overall efficiency.
Transforms procurement history and supplier data into actionable intelligence for more informed sourcing decisions and risk mitigation.
Identifies revenue patterns, market trends, and potential churn signals to support targeted planning and improve win rates.
Automates data review, compliance checks, exception logging, and report generation for enhanced audit readiness and transparency.
Converging transformation and growth to integrate innovation
Case Study
Case Study
Case Study
In today’s interconnected global economy, effective supplier performance and risk management are critical determinants of organisational success.
In today’s hypercompetitive digital landscape, effective customer engagement has emerged as the defining factor separating market leaders from followers
Recent market analysis reveals a striking correlation between data utilization and business success, wherein organizations implementing comprehensive data strategies consistently outperform their competitors by significant margins.