Facing the complex challenge of fragmented data management, Kirloskar Oil Engines Limited struggled with multiple disconnected software systems. This led to a scattered data landscape, impeding the company's ability to gain a comprehensive operational view.

Key challenges included:

1. Time-consuming data aggregation processes across various platforms, resulting in operational inefficiencies.
2. Inconsistent data quality and a lack of a unified data management system, leading to unreliable business insights.
3. Sluggish access to critical business metrics, delaying responsive decision-making.
4. Challenges in understanding market trends and customer behavior due to disjointed data.
5. Inefficiencies in forecasting and strategic planning because of the uncoordinated data environment.

How INSIA was implemented

The implementation of INSIA for KOEL was a comprehensive and strategic process tailored to meet their specific data management and analysis needs. We initiated the project by establishing a hybrid deployment model. This approach ensured the client's data was always securely stored within their environment, providing them with control and peace of mind.

We established direct connections with the client's AWS and OCI infrastructure through a secure VPN to facilitate seamless integration. This setup ensured uninterrupted and secure data flow between the client's systems and the INSIA platform.One of the critical aspects of the implementation involved INSIA integrating with existing systems, such as Siebel CRM and Oracle ERP, along with various flat files. We efficiently pulled data from these diverse sources and fed it into a columnar database within the client's infrastructure.

This setup was vital for enabling advanced analytics and reporting capabilities.We set up data transformation pipelines using INSIA's no-code data model. This streamlined the data management process and empowered the client's team members, trained during the setup phase, to manage and manipulate data quickly and efficiently.

A significant achievement of this implementation was the activation of over 250 Key Performance Indicators (KPIs) across the Sales and Service functions. We developed multiple dashboards to bring these KPIs to life and make them actionable. These dashboards gave the client insights and a comprehensive overview of their business operations, driving informed decision-making and strategic planning.

Overall, the implementation of INSIA was a blend of technical expertise, strategic planning, and collaborative efforts, all aimed at elevating the client's data analytics capabilities to new heights.

1. Enterprise-level data warehouse and dashboarding tool to limit manual processes and automate reporting.
2. Single source of truth to help employees make better data driven decisions.

INSIA's solution for Kirloskar was a game-changer, delivering a hybrid deployment model that seamlessly integrated their on-premise systems with advanced cloud-based analytics. INSIA's guided search-enabled data analytics platform, known for its blazing speed and ease of use for non-technical users, was a vital part of this transformation.

The solution's highlights included:

1. A unified platform for integrating disparate data, ensuring consistency and reliability.
2. Blazingly fast analytics, providing answers to business queries in seconds, enhancing decision-making speed.
3. Guided search capabilities, aiding non-technical users in discovering insights effortlessly.
4. Customized dashboards for different departments, offering specific analytics and reporting capabilities.
5. Predictive modeling and advanced analytics for deeper market and trend analysis.
6. An intuitive interface, making the system accessible to all business users, regardless of their technical expertise.
7. Scalable architecture to accommodate future data integrations and expansions.

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The adoption of INSIA transformed Kirloskar Oil Engines Limited's data management and analysis approach. The shift to daily reporting from a monthly cycle significantly enhanced their agility in responding to market changes. A remarkable 70% reduction in time spent on data compilation and analysis was observed, thanks to INSIA's fast processing capabilities. Overall, Kirloskar experienced a substantial leap in their ability to make informed, data-driven decisions, reinforcing their leadership in the engineering industry and paving the way for future growth and innovation