Technology Category
- Analytics & Modeling - Big Data Analytics
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Equipment & Machinery
- Finance & Insurance
Use Cases
- Leasing Finance Automation
- Real-Time Location System (RTLS)
Services
- Data Science Services
- System Integration
About The Customer
Forterra is a manufacturing company with a workforce of 1,001-5,000 employees. The company was struggling with slow and inefficient data reporting and analytics processes in its finance department. The department was heavily dependent on the IT team for even the most basic reports, leading to delays and inefficiencies. The company was using multiple BI and reporting tools, including Sisense, Cognos, and SAP Business Objects, which were generating hundreds of reports across 30 financial dashboards, making data consolidation a challenging task.
The Challenge
Forterra, a manufacturing company with 1,001-5,000 employees, was facing significant challenges with its finance department's data reporting and analytics. The department was heavily reliant on the IT team to pull even the most basic reports, leading to slow and inefficient processes. The time taken by the IT department to extract, transform, and load data from Oracle EBS and other systems could span weeks or even months. This delay created massive inefficiencies within the team. Furthermore, their existing BI and reporting tools, including Sisense, Cognos, and SAP Business Objects, were generating hundreds of reports across 30 financial dashboards. This made it extremely difficult to simplify, clarify, or consolidate critical data across various sources.
The Solution
Forterra adopted Incorta, a modern data analytics platform known for its agility and power. Unlike other solutions that take weeks or months to process data, Incorta can accomplish the same task in minutes. It is the only data analytics platform that provides true self-service access to data across the technology spectrum. Incorta maintains all data details and relationships for full fidelity reporting, native security, and provides actionable insights in real time. The platform's ability to load data from anywhere and unify it without the need for complex modeling or transformations has helped Forterra move faster than ever before. This has given business leaders more flexibility, agility, and confidence to make quick decisions, leading to faster growth and profitability.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
![](/files/casestudy/Smart-Water-Filtration-Systems.png)
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.
![](/files/casestudy/IoT-enabled-Fleet-Management-with-MindSphere.png)
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.
![](/files/casestudy/Predictive-Maintenance-for-Industrial-Chillers.png)
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.
![](/files/casestudy/Premium-Appliance-Producer-Innovates-with-Internet-of-Everything.png)
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.
![](/files/casestudy/Integration-of-PLC-with-IoT-for-Bosch-Rexroth.png)
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.
![](/files/casestudy/Data-Gathering-Solution-for-Joy-Global.png)
Case Study
Data Gathering Solution for Joy Global
Joy Global's existing business processes required customers to work through an unstable legacy system to collect mass volumes of data. With inadequate processes and tools, field level analytics were not sufficient to properly inform business decisions.