Speed Meets Scale: One platform, 85% Faster Insights and 75% On-Time Deliveries

Client

The client is a global leader intelligent power and sensing solutions, serving the automotive and industrial sectors. With a focus on megatrends like vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure, the company holds strong leadership positions across several high-growth markets. To stay competitive amid shifting market conditions and operational demands, the client sought to modernize its technology foundation.

Shifting Trends In Intelligent Power And Sensing Technologies
 

The intelligent power and sensing industry is undergoing rapid transformation, influenced by shifts in global supply chains, fluctuating demand cycles, and the rising complexity of customer expectations. Supply chain disruptions from material shortages to logistical bottlenecks continue to challenge delivery timelines and inventory planning. Simultaneously, economic slowdowns often trigger inventory corrections, leading to decreased orders and underutilized capacity.

To remain competitive, organizations are under pressure to migrate from legacy systems to modern, cloud-native architectures without disrupting business continuity. At the same time, growing security and compliance requirements are prompting a reassessment of how sensitive data is managed and shared. In this environment, streamlining operations, accelerating decision-making, and ensuring data integrity are critical to sustaining growth and resilience.

Need For Change

To meet the evolving demands of the market, the client needed to address four key roadblocks:

• A tangled web of systems and integrations: Decentralized platforms and multiple point-to-point connections created bottlenecks and hindered operational efficiency.
• Delayed decisions in a fast-moving market: Insights often arrived too late to make a meaningful impact, reducing agility.
• Duplicate data, duplicated effort: Redundant information and parallel efforts across departments led to avoidable inefficiencies and confusion.
• Security blind spots with rising stakes: With sensitive data fragmented and exposed, the risk of breaches and compliance violations was unacceptably high.

These issues underscored the need for a comprehensive data modernization journey to align the technology foundation with current and future demands.

Our Solution

LTIMindtree partnered with the client to launch a strategic supply chain modernization initiative rooted in a unified, cloud-first data architecture. The engagement focused on eliminating redundancy, accelerating time-to-insight, and embedding agility into operations.

• Conducted a detailed audit of legacy systems and designed a phased migration approach to Snowflake, ensuring near-zero disruption.
• Unified fragmented data from Oracle EBS and other legacy sources into a single Snowflake Enterprise Data Warehouse, enabling scalable and secure access.
• Migrated visualization tools from Qlik to Tableau and Power BI, consolidating dashboards and standardizing analytics processes.
• Overhauled supply chain planning systems by transitioning from Kinaxis to Blue Yonder, unlocking real-time forecasting and agility.
• Integrated Tableau with Snowflake for centralized analytics and near real-time reporting across functions.

This transformation served as a pivotal step in the client’s broader data modernization journey, replacing scattered legacy tools with a future-ready, cloud-native platform.

Business Benefit

The modernization drive delivered measurable improvements across the board:

Accelerated time-to-market

•  Reduced data friction allowed teams to respond faster to market and customer signals.

Enhanced supply chain performance

•   23% improvement in On-Time Delivery (OTD) by dynamically adjusting shipment schedules based on real-time demand trends.
•   75% OTD achievement against early customer request dates via smarter use of buffer stock and inventory visibility.
•  5% boost in LTSA (Long-Term Supply Agreement) compliance by recalibrating safety stock thresholds.

~85% faster customer sentiment analysis

•  Automated aggregation of survey data reduced manual processing significantly.

Improved data quality and time-to-insight

•  Centralized governance enabled self-service analytics while improving consistency and trust in data.    

Reduced platform costs and complexity

•   Migration from Qlik to Tableau lowered licensing and maintenance overhead while consolidating visualization tools for improved scalability.

Future-ready architecture

•    A secure, scalable platform powers smarter decisions and prepares the organization for next-gen innovation.

Conclusion

Modernization isn’t a finish line; it’s a continuous journey toward operational excellence. By consolidating data platforms, enabling real-time insights, and empowering business users, the organization has created a solid springboard for future innovation.

Looking ahead, the next frontier involves layering AI and advanced analytics onto the Snowflake platform. This will open the door to predictive planning, automated root cause analysis, and intelligent demand forecasting, turning the data foundation into a competitive differentiator.

Testimonial

I want to take a moment to appreciate and thank the LTIMindtree leadership team for their support and assistance with various initiatives and projects, as well as entertaining some of my random thoughts and ideas. I would like to specifically acknowledge you for your partnership and collaboration. Thank you all from the bottom of my heart for your collaboration and support.

As I often say, I don’t see a distinction between LTIMindtree and our internal teams. To me, it’s one team, bound by one purpose. Regardless of organization, what matters the most to me is how an individual plays the role given to them. While my experience with the LTIMindtree team has been fairly positive, a few individuals stand out as the best. I would like to highlight some of the best I have worked with at LTIMindtree. These individuals played their roles exactly how I would have liked them to and did not make me feel even the slightest that they were not part of our core team.

–Digital Leader, Digital Platforms and Applications

Struggling to keep your supply chain data agile and predictive?Let LTIMindtree help you modernize with unified cloud data platforms for faster insights, optimized operations, and future-ready analytics.

Explore more or contact us at data.analytics@ltm.com.