TRAILAR, a subsidiary of DHL, developed an innovative solution that uses solar energy to power the onboard electrical equipment of commercial vehicles, thereby reducing fuel consumption and carbon emissions. However, the company needed a partner to help them leverage the data generated by their solution to offer new services and solutions. They required an all-in-one IoT platform that could manage devices, collect data, calculate fuel savings, and visualize data in real time. They also needed to prove the cost/usability benefit for customers and execute immediately without long lead times.

Bega Cheese, one of the largest dairy producers in Australia, wanted to make its suppliers’ milk journeys faster and safer. The company saw that it was missing new opportunities in its supply chain and wanted to make it faster, more efficient, more cost effective – and, at the same time, to reduce food waste. Bega’s Head of Supply Chain, Adel Salman, knew that the IoT could be an excellent solution. He could see the potential of using real-time data in the company’s supply chain – both inbound and outbound. But he needed a partner – one with deep expertise in using IoT for agriculture and industry. One with excellent government connections and industry contacts. He formed a committee that went around various universities in Australia to look for the ideal partner. And he found Swinburne University’s Professor Dimitrios Georgakopoulos, Director of Swinburne’s Internet of Things Lab.

Refrigerated transport is essential in Australia, and without it much of its agriculture, food processing, preservation and distribution, and even the pharmaceutical sector, would not be able to function properly. The global market for refrigeration is increasing, partly due to consumers becoming more health-conscious and wanting more fresh, healthy food, much of which is perishable. Producers must adapt to overcome logistics constraints and, at the same time, reduce the level of waste in the food industry. Nearly all of the produce eaten in Australia is grown there and Australia produces about three times as much as is consumed in the country. Each region has a different season, so seasonal produce has to be trucked from the growing region to the consumers in other regions. Refrigeration therefore is critically important to the Australian (and global) food chain. In the 1990’s, a shake-up in the transportation industry led to two big trucking companies dominating refrigeration. Because they had to squeeze costs down, they chose to no longer hire/train drivers to work with refrigeration units, so today’s refrigerated truck drivers have little or no experience with the units. QTRS fills that gap.

Clal, a leading insurance company in Israel, was facing stiff competition from regional InsurTech companies. The regulatory landscape was also becoming increasingly aggressive, impacting large companies with complex internal-external development needs. The company needed to transition from a bottleneck to a booster and turn a regulatory liability into a capability advantage. However, they lacked a comprehensive API management platform that could help them achieve this. The company also faced challenges with API bottlenecks and duplicates, rising costs, and the need for digital transformation.

LANXESS, a leading specialty chemicals company, operates in a fiercely competitive market worth over €1 trillion. The company needed to ensure timely, quality, and cost-effective delivery of its products. To thrive, LANXESS needed a solution that would provide its production specialists with operational and production data to continuously improve the operational performance of their plants. The company also aimed to democratize data for all its employees. In 2017, LANXESS established a dedicated service unit to push digital business models, introduce new technologies along the entire value chain, and work on the use of big data and the embedding of digital skills among its employees.

Farms in Australia are vast, averaging around 100,000 acres, with almost a billion acres being farmed in total. The majority of Australia's population is concentrated around the coastline and capital cities, leaving the agricultural land sparsely populated. This lack of population density results in limited Internet connectivity, hindering farmers' ability to adopt the latest technological developments that could help protect their crops and herds. The larger and more remote the farms, the more challenging the internet access and communication. The smallest undiscovered problem can create major issues with crops or herds. Powertec Communications, a service provider, works closely with farmers to ensure they are connected and can communicate, no matter where they may be.

Lyreco, a global office supply distributor, was facing challenges due to lack of real-time stock and sales insight. The company needed to improve service assurance and drive operational cost savings from restocking and servicing machines. The increasing digitalization, regulatory environment, and global competition were driving unprecedented change, and Lyreco needed to adapt its business strategies, better manage risk, and simplify critical processes to avoid being disrupted by change. The company recognized that more and more of the products its customers desire were becoming connected, providing deeper insights into product usage and allowing customers to decrease operational expenses, increase environmental awareness, and innovate with new service offerings.

KMC Global Controls & Automation, a technology-based company that provides control panels, automation and integration with remote and onsite support capability, faced several challenges. They needed to compete not only on cost but also offer value-added services to stay relevant and strategic. They aimed to ensure smaller manufacturers are successful at IIoT, create diversified and resilient revenue, and meet the growing need for remote monitoring. The company understood that IIoT is an evolutionary change every manufacturer needs for survival. However, small and midsize manufacturers often lack the ability to implement and maintain IIoT applications due to a lack of in-house expertise.

The mechanical engineering and industrial equipment industry is facing pressures from digitalization and agility. There is a need for a fast entry to the Industrial Internet of Things (IIoT) for Original Equipment Manufacturers (OEMs). The industry also requires machine-oriented digital service processes and a solution to merge heterogenous IT worlds. The challenge also lies in connecting intelligent machines and users. logicline, an IT consulting and project firm, aims to support companies in their digital transformation, and it relies on fast, customized implementation to deliver that support.

BANCOR, a public financial institution in Argentina, was facing challenges due to its reliance on manual business processes. The rapidly changing banking industry and the need to document regulatory compliance were among the issues the bank was grappling with. The absence of a bank-wide process map and the need to integrate new customer-facing products were also significant challenges. The bank's systems were stuck in the past, with 98% of its processes documented in paper manuals and cumbersome instruction documents. This lack of system automation was causing inefficiencies, hindering staff efficiency, risking non-compliance with auditors, and making it harder to keep up with ever-shifting banking regulations.

The Business Analytics team recently undertook a new initiative: to find connections between employee and customer satisfaction. To be specific, are there drivers of employee satisfaction that have an impact on customer satisfaction as well? The Business Analytics team realized that identifying such connections, if indeed they exist, would enable them to prioritize initiatives that would be the most beneficial to both employees and customers.\n\nUntil this point, the team had relied upon rigorous statistical methodologies to analyze predominantly quantitative data. However, the team would need to focus on unstructured data, such as open-ended survey responses, in order to fully understand the key drivers of customer and employee satisfaction. Traditional statistical methodologies, while valuable, are not as effective or rapid at analyzing unstructured feedback.\n\nThe team was also determined to eliminate as much bias as possible from the analytical process. However, traditional approaches to processing text-based data rely extensively on keyword lists and ontologies created by a human analyst. The Business Analytics team was concerned that an analyst might inadvertently skew the results by cherrypicking keywords or being subject to confirmation bias.

This Fortune 500 financial investment services firm sought to improve adoption of its online customer portal. To increase its adopter base, the firm’s Customer Intelligence Team needed to surface key insights buried in customer data collected from Net Promoter Score (NPS) surveys, to which it received over 9,000 responses each month. With insights in hand, the team could better understand what customers thought of new financial products. This would enable targeted, valuable discussions with management and result in more efficient iterations on product improvements. The 12-person Customer Intelligence Team manually sorted and analyzed all responses. This translated to a loss of at least one full business day each month, totaling about 100 people-hours, in an attempt to simply read feedback. The firm needed to: Quickly process high volumes of data with no maintenance or manual intervention Understand root causes affecting NPS and trends over time Surface key concepts in data for management and product roadmaps

Bill DeMartini, Chief Engineer of the W Hotel San Francisco, was searching for a way to identify the unseen problems in his building. He wanted to take energy efficiency beyond his hotel’s LEED Silver certification. To tackle this, he knew he must look at TRACE, the award-winning restaurant. Without a cost-effective way to monitor kitchen operations 24/7, Bill lacked the facts required to optimize his kitchen and improve W Hotel’s efficiency. Bill engaged with Verdigris to deliver the granularity he needed to identify ways to improve the kitchen operations.

Essent, the largest energy company in the Netherlands, wanted to enhance its customer experience and increase sales by offering a call-back service to consumers looking to purchase gas or electricity. However, the challenge was to implement this service in a cost-effective manner. Static call-back options were not efficient as they were visible to all online visitors, including those who did not need offline assistance, leading to unnecessary costs. Essent needed a solution that could intelligently identify and engage only those customers who would benefit from a call-back, thereby optimizing resource utilization and improving sales conversion rates.

Three, a leading UK telco, sought to enhance its contact channel operations to deliver a better customer experience, increase profits, and empower its agents. The company aimed to leverage technology to identify and facilitate growth within their multichannel team, aligning with their innovative business practices.

Several years ago, Rivalea decided to implement a company-wide enterprise resource planning (ERP) system. While the chosen solution delivered reporting functionality, General Manager for Sales and Marketing, Mark McKenzie, found the group needed a better and faster understanding of business performance. He wanted to see business analytics as well as reporting, so the company decided to investigate business intelligence (BI) platforms. After reviewing a few options, Rivalea opted to go with the Yellowfin Cloud BI solution, supplied and supported by local Yellowfin business partner, Toustone. “We knew we didn’t have the inhouse resource within the group,” said McKenzie, “so we needed some guidance and we felt we couldn’t go wrong with Toustone. It helps that they are local, as we know we can rely on their ongoing support”.

In a highly competitive market, BGL Life needed to analyze product performance and make agile changes to their customer journeys to improve performance. They set up their own SQL enterprise data warehouse (EDW) to pull information from various systems and wrote their own quote and pricing rules. However, the daily extraction of data was insufficient for the business to be responsive. It took two hours a day to extract and format data for Management Information (MI), which was not efficient. The team needed a new BI and analytics tool to address these challenges.

Honda France’s Power Equipment division wanted to achieve three main analytics goals relating to its sales force: consolidate access to sales and customer data via a single trustworthy platform, simplify access to a user-friendly BI tool for better real-time decision-making, and streamline IT department operations for efficient deployment and management of the BI solution. Honda France IT Manager, Regis Loumont, sought an easy-to-use and manage reporting and analytics solution to replace an existing resource-intensive and expensive BI tool. Initial trials with several open-source solutions revealed connectivity issues and a lack of robustness required by Honda France.