Sisense's Ease of Use Lets Pantechnik International Create Dashboards On the Spot to Boost Sales Offering
Customer Company Size
Large Corporate
Region
- America
- Asia
- Europe
Country
- Netherlands
- Singapore
- United Kingdom
- United States
Product
- Sisense
- Pantechnik iX10
Tech Stack
- Embedded Analytics
- Data Visualization
- ETL Process
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Customer Satisfaction
- Revenue Growth
Technology Category
- Application Infrastructure & Middleware - Data Visualization
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Transportation
- Software
Applicable Functions
- Logistics & Transportation
- Business Operation
Use Cases
- Track & Trace of Assets
Services
- System Integration
- Software Design & Engineering Services
About The Customer
Pantechnik International is a transportation management software company headquartered in London, with additional offices in Amsterdam, Singapore, and Chicago. The company specializes in delivering multi-carrier shipping solutions for corporate clients worldwide. Pantechnik helps large international shipping companies manage the transportation of products through local partners with maximum automation, transparency, and organization. The company handles over 60 million packages a year through their software, creating over 300 million transactions annually. Pantechnik relies on hundreds of disparate data sources, including SAP, Oracle apps, ERP systems, and home-grown mainframes, to receive and process orders. The company also utilizes a bi-directional flow of data between transportation service providers and customs, sending and receiving data via ERP systems and warehouse management systems.
The Challenge
Pantechnik International faced significant challenges in managing and utilizing their vast and scattered data sources. The company struggled with a 'black hole' of largely untapped client data, making it difficult to gain a holistic view of overall performance, cost-effectiveness, and service level agreements (SLAs) of their carriers. Senior management lacked visibility and control over these metrics, which was further compounded by the data preparation nightmare of the ETL process. The company evaluated various solutions, including Qlikview, but found the 'buy before you try' business model unappealing. They needed an embedded BI software with a powerful backend capable of handling thousands of large, scattered datasets.
The Solution
Pantechnik International chose Sisense for its embedded analytics capabilities, ease of use, and powerful backend. Sisense's solution required no training and was up and running quickly, led by a single employee with no data background. The software's white-labeling and embedded analytics capabilities allowed Pantechnik to handle vast amounts of complex data quickly and easily. Sisense's attractive and intuitive data visualization features, along with easy customization, made it the ideal choice for Pantechnik. Using Sisense’s embedded analytics, Pantechnik provides shipping companies with useful and intuitive analytics and visualizations. Pantechnik’s iX10 software collects and stores customer data from hundreds of disparate data sources, which is then processed by Sisense. This results in clear visualizations and insights into crucial business questions. The easy integration with Sisense allows Pantechnik to offer their customers a way to interact with the data, enabling them to drill down, filter, and uncover insights in hours rather than weeks or months.
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.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”
