Download PDF
JK Lakshmi Cement: Enhancing Operational Efficiency with Dataiku
Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Equipment & Machinery
Applicable Functions
- Logistics & Transportation
- Procurement
Use Cases
- Last Mile Delivery
- Time Sensitive Networking
Services
- Data Science Services
- Training
The Challenge
JK Lakshmi Cement, a decades-old manufacturing firm in the cement industry, was facing significant challenges in improving operational efficiency and accelerating analytics reporting. The company was bottlenecked by a lack of data- and tech-savviness, with only a few people tasked with building reports for the entire organization. This limited the number of reports that could be created, hindering the company's ability to make data-driven decisions. The team was also struggling with scarce and underutilized data experts, and their data processes lacked operationalization and the ability to make a strong business impact. They were in need of a platform that could boost the efficiency of its coders and allow for cross-team collaboration with line-of-business users.
About The Customer
JK Lakshmi Cement is a decades-old manufacturing firm in the cement industry. Despite being in a traditional industry, the company has shown a commitment to digital transformation, leveraging machine learning and AI to revolutionize the efficiency of its operations. The company was facing challenges in improving operational efficiency and accelerating analytics reporting due to a lack of data- and tech-savviness. However, with the implementation of Dataiku, JK Lakshmi Cement has been able to transform its operations, increase report production, and build a data culture within the organization.
The Solution
JK Lakshmi Cement embarked on a transformational journey with Dataiku to improve operational efficiency and accelerate analytics reporting. After evaluating several solutions, the company found that Dataiku could meet their needs, replace many of their existing tools, and integrate with their other systems. Once Dataiku was implemented, the company was able to increase their production of regular reports by over 300%, transforming teams across the company. The platform also enabled the company to build a data culture within the organization and move beyond reports and automation to new and exciting AI use cases. The flexibility and collaborative functionality of Dataiku allowed JK Lakshmi to explore solutions to common industry pain points in novel and creative ways, including customer churn and delivery prediction.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
