Cencosud Colombia SA, a leading retail market player, was faced with the challenge of providing consistent services to its associates across all its stores in five countries - Brazil, Argentina, Chile, Peru, and Colombia. The company needed a solution that would enable it to maintain its regional retail market leadership while delivering excellent service to its customers. The challenge was to consolidate information regarding Cencosud’s customer loyalty program, sweepstakes, vouchers, and other promotional activities conducted by stores or groups of stores. The company also required a system that could provide 24/7 support in Portuguese and Spanish to approximately 7,000 end-users across all stores, including a procurement center in China.

CTI Solutions Group was facing a significant challenge in managing their reporting solution for customers. The company's clients were increasingly involved in monitoring various aspects of their businesses, including wholesale inventory, sales by style, and SKUs. CTI Solutions offered analytics via Excel and other tools in both HTML and downloadable formats. However, the company was struggling to keep up with programming and maintenance, despite having a team of 12 local full-time programmers and another 30 offshore. Six of these programmers were dedicated to maintaining task reporting for 93 countries throughout the world. The company realized that they needed a more automated, more uniform solution that could present information in a variety of ways, both online and downloadable. If they didn't move to a more agile reporting and data handling system, they would not be able to satisfy their clients' growing needs for timely information or hire the talent they needed to grow.

Bigmate, a company that primarily deals with the Internet of Things (IoT) or more specifically, the Internet of Assets (IoA), faced a significant challenge. The company's telematics platform provides real-time vehicle tracking, data analysis, and tools that scale vertically or horizontally. However, new and emerging telematics applications, such as vehicle engine monitoring, were driving the need for customer accessible dashboards and reporting. With data generated as frequently as once a second, delivering visualizations that bring clarity was a crucial requirement. The main objective was to find a product that would enable them to solve their customers' problems effectively.

Microsoft needed to find a way to offer its enterprise customers improved network performance while reducing their capital and operational expenditure. With security and predictability as primary issues with public cloud and private cloud being expensive, enterprises need to look for a hybrid solution for their computing and data storage requirements.Available hybrid clouds are not hybrid in the true sense. There is always a security risk of transferring data over the ‘open internet’ – making enterprises compromise their network integrity. Thus, there was a need for an efficient hybrid cloud that overcomes the limitations of public and private cloud while ensuring security, reliability and performance.This powerful partnership can benefit any enterprise seeking to make its IT infrastructure more flexible and agile

HP's partner ecosystem, which generates 80% of its revenue, involves data exchanges with thousands of partners for product tracking, sell-through inventory, and more. As business models evolved, more data and data sources needed to be connected to HP’s data platform. However, HP struggled with an ineffective BI toolset for scaling its business and growing its partner ecosystem. The BI team managed a traditional collection of OLAP cubes, a custom-built .NET user interface, and hundreds of offline reports. The system took 24–48 hours to refresh data and even longer to analyze that data. New data deployments took three months, making the data obsolete by the time it was ready for use. The BI team was a bottleneck, spending too much time on data analysis requests rather than focusing on more-strategic initiatives. The team downloaded data into offline dashboards and reports and distributed it in Excel and PowerPoint documents throughout the organization. End users needed a self-service solution.

A leading cybersecurity company, known for its threat intelligence, endpoint protection, and disaster recovery services, was facing a significant challenge. The company was unable to scale their classification services with their existing SQL Server-based solution. The rapid emergence of new websites necessitated the use of accurate and timely threat data, and the execution of thousands of classifications per second across massive data sets. The company recognized the need for a completely new back-end to power their classification services, to keep pace with the ever-expanding internet.

A leading global telecommunications company, headquartered in New Delhi, India, with operations in over 20 countries across Asia and Africa, faced significant challenges in managing the payroll processing of its vast employee base. The company, which ranks among the top 4 mobile service providers globally in terms of subscribers, had over 17,000 employees in India alone. The company was dealing with various vendors for different processes, leading to a lack of centralization and inefficiencies. The payroll processing and policies for such a large number of employees were complex and tedious. The company also faced issues with unnecessary movement of employees between groups and businesses and different points of contact across locations. Due to multiple circles handling employee data, no centralized form of data records was maintained, leading to further inefficiencies and potential errors.

The challenge facing NoaNet was the ability to track inventory and a large number of assets across multiple locations. The company wanted a cost-effective way to accurately track routers, switches, line cards, optics, rectifiers, amplifiers, chassis’, PSU’s and various other Telecom Assets such as test equipment and tools. In addition, the company wanted to eliminate the use of spreadsheets. 

Storstockholms Lokaltrafik (SL), Greater Stockholm Local Transit Company, was faced with the challenge of updating its existing security camera system. The company aimed to maintain a high level of safety and security for passengers and staff, combat crime such as theft, robbery, and vandalism, and support its staff in daily operations and emergency response operations. SL also wanted to ensure that it had a good video surveillance system which was able to provide good image material to investigate accidents, perform better analyses for accident prevention and better assist the police with images for criminal investigations. The challenge was further compounded by the complicated light conditions, exposure to tampering, dirt, vibrations, and extreme temperature variations, and the need for the cameras to be easy to clean, withstand a high-pressure washer, and be easy to control and manage centrally.

EBSCO Industries, a global corporation with over 40 unique businesses, faced a complex IT landscape due to the diverse technology needs across each business unit. The company's IT team had to support a broad application portfolio and multiple cloud vendors. The challenge was to manage legacy applications while expanding into cloud platforms, which presented significant management and security challenges. Any lapse in application availability could result in substantial financial losses due to lost productivity. EBSCO needed a solution that would simplify application management across business units and allow each team to choose the applications they wanted to use.

In the data-driven world, marketing technology companies like Numberly are increasingly dependent on their ability to deliver valuable insights from diverse, large datasets to maintain a competitive edge. The greatest return on marketing and advertising spend is achieved by delivering precisely targeted, relevant, and timely messages. To maintain its position as a global leader, Numberly faced the challenge of including, processing, and reconciling large and diverse datasets, such as static data from CRMs and streaming sensor data. They needed to make this data accessible for data science and analytics in near real-time.

Before FactoryFour, CPO’s clinicians sent plaster casts and clay impressions of patients' limbs along with paper forms to their central fabrication facilities. Often, the ordering process involved several back-and-forth calls to rectify errors or clarify details in the order submission. Order data was then manually transcribed, and issued to the floor as a paperwork order. During production, a job traveler moved through each work center, and technicians referenced the paperwork order to produce each custom product.Whenever a customer called with an order inquiry, it required a tedious process of going to the floor, locating the job traveler, and relaying the order status back to the customer. CPO needed a solution that would connect their clinics directly to the manufacturing floor, providing immediate visibility for customers and managers while streamlining the process for their technicians.

SKIDATA, a tech-forward vehicle access company with multiple offices across the US, was struggling with its existing on-premise security systems. These systems were not keeping pace with the technology required to operate an efficient company. Each office required its own servers and management, leading to a complex and inefficient system. Employees needed different credentials for each location, adding to the complexity and inefficiency. Furthermore, with the growing trend of contactless technology in their industry, SKIDATA was in need of a system that could support contactless functionality.

The company challenges are as follows:Challenges in conventional B2B trading practiceChallenges in validating the trustworthiness of the counterpartiesLoss of actual and potential revenuesLengthy & expensive dispute resolutionMissed sales opportunities & overhead costs for B2B vendors

Symantec was seeking a solution to reduce the number of manual processes while maintaining strict security and compliance controls. A customizable solution was essential since some departments wanted to automate a few steps while others wanted complete automation of end-to-end workflows.Symantec wanted more than just a stop-gap measure to replace another system, but rather a solid governance solution to seamlessly integrate all workflows and improve operations.

LINK Mobility, Europe’s leading provider of mobile communications, wanted to scale up their data efforts in 2017. Their primary offering is mobile messaging services, sending over 6 billion messages a year worldwide. These messages carry invoices, payments, and vouchers, associated with a variety of services. This generates a lot of data, and LINK Mobility saw an opportunity to expand their offerings to provide more data-driven insight to customers surrounding the delivery and performance of their messages and services. They were looking to expand to customer dashboards and send additional offers based on that data. However, with just a one-man data science team at the beginning of the project, LINK Mobility needed to find a tool that would allow them to scale up data requests coming from inside the company and provide data insights to customers without having to use two different tools or platforms.

Cisco's ASR 5000 Series is designed to address the high-performance requirements of the next generation of mobile Internet. It contains real-time integrated, session-state intelligence, enabling it to effectively manage IP-based flows on a per-session basis. A significant challenge that Cisco faced was how to efficiently test the stateful reliability of the ASR’s enhanced charging service function, which is part of the packet data network gateway (PGW), at a highly scaled level of network traffic load. The enhanced charging service (ECS) function is designed to identify and manage traffic on a per-session basis, helping develop tiered and detailed billing schemes based on mobile subscribers' usage. The challenge was to efficiently and reliably test the ECS function with an array of traffic types. The ECS is part of the LTE PGW, adding an additional complexity to the challenge of testing; requiring that the IP application flows be delivered in GTP encapsulated tunnels.

A large global technology company based in California was running SolarWinds Orion instances across their IT estate. The company needed to quickly ascertain the impact and their exposure due to the SUNBURST hack of December 2020. The IT team was running VIAVI Observer platform in multiple strategic datacenters around the world. The IT networking services team were also using SolarWinds Orion software. The production services were running a version of SolarWinds Orion that did not contain the vulnerability. However, a second, non-production demo instance, built in June 2020 for a 30-day trial period to explore new features, did contain the vulnerability. The key goal was to understand if any confidential or sensitive data had been accessed or exfiltrated. This was of particular concern given the nature of the solutions provided by the organization concerned, as reputational damage would have long-term consequences to current and future business relationships.

The City Walk development is a new neighborhood in Dubai that is attracting home-seekers and retail businesses with its modern design, tree-lined avenues, and contemporary street art murals. City Walk is set among 34 low-rise residential buildings, all part of one of the city’s most prestigious and tourist-centric locations—the Safa district of Dubai.To deliver on this commitment to digital services, it planned for a robust digital infrastructure.This smart-city-level BMS would enable top-level command and control of the whole building cluster, as well as of individual buildings and of specific services—from the chiller plants that serve multiple buildings to specific equipment, like a lighting fixture that may be experiencing a burned-out bulb.

The case study presents five different organizations facing various challenges. A global bank was struggling to engage with customers due to ineffective profitability practices, poor cross-sell and up-sell functions, and inadequate segmentation analyses. A global rental company needed to modernize their analytics ecosystem as their processes were manual, time-consuming, and limited in model calculation. A global retailer had issues with non-product indirect spend, unable to identify non-compliant activity, leading to inconsistencies, reporting delays, and a lack of detail. A global B2B distributor wanted to improve their rebate compliance, but their existing process was manual, time-consuming, and lacked a centralized source of contract terms. Lastly, a global consumer packaged goods (CPG) enterprise was struggling to enforce its travel and entertainment (T&E) policies due to manual recording and reporting processes.

Business Needs: Ikointl was looking for a reliable Drupal development company that could help them with the Drupal migration of their website. Our interactions with the client helped us learn that they were looking to hire Drupal developers who could:Process the Drupal 7 to 10 migration skillfully.Strategize the entire migration process effectively.Ensure that no data or information is lost, no matter what.Complete the Drupal migration process quickly and efficiently.Deliver the website with better performance and ease of administration.

Amgen, the world’s largest independent biotech company, embarked on a digital transformation journey to leverage its data for better outcomes across the business. The company faced challenges in improving R&D productivity, optimizing supply chains, and commercialization. The problems that the data teams were looking to solve had drastically changed over the years and were no longer isolated by skillset, department, or function. The most impactful problems were cross-functional and required a collaborative approach. Amgen had a wealth of valuable data within its core verticals - clinical trials, manufacturing, and commercialization. However, increasing volumes of data presented challenges when it came to using that data efficiently. The company was unable to weave together the various aspects of its business, which impacted operational efficiency as it scaled both internally and with its customer base. The key challenge was to make it easy to access and process data in a collaborative manner that ties in different personas with different viewpoints on the data.

iRobot, a global consumer robot company, faced a significant challenge in 2015. The company had sold 14,000 of its Roomba robotic vacuums on the first Amazon Prime Day, highlighting its reputation for innovation and value. However, this success also underscored a looming challenge. In September, iRobot was set to release its first internet-connected Roomba vacuums. Until then, iRobot had primarily operated as a hardware vendor. The introduction of connected Roomba vacuums meant that large numbers of people would be using the iRobot HOME App to set up and control their robots. This would result in high volumes of traffic through the app, requiring iRobot to run a high-availability, customer-facing cloud application and an Internet of Things (IoT) backend platform. This was a significant shift from their traditional business model and posed a considerable risk.

ACMA, a Coesia company, is a leading firm in the design and construction of automatic packaging machines for consumer goods. Despite their success, they faced a significant challenge in developing a new flexible, smart, and high-speed automatic feeding system for their wrapping machines. The company needed to ensure faster time-to-market, a smaller footprint, and higher productivity. The challenge was to find a solution that could meet these requirements while also being sustainable and flexible. The company had been partnering with an undisclosed firm for over two decades, implementing their motion control and industrial automation solutions. However, the need for a more advanced solution was evident to keep up with the evolving market demands and to maintain their competitive edge.

Aquapolo, Brazil's largest wastewater treatment plant, was faced with a significant challenge. The local community was experiencing a severe shortage of potable water, and there was an increasing demand for water for industrial use. Aquapolo was tasked with managing 20 different Key Performance Indicators (KPIs) related to water quality and quantity. The plant also needed to reduce production costs and improve operational efficiency. The challenge was not only to meet the immediate water needs of the community and industry but also to ensure sustainable and efficient water management for the future.

Chais Monnet, a new hotel located in the heart of historic vineyards, faced several challenges in developing a Building Management System (BMS) and an energy-consumption monitoring system. The hotel, which boasts 92 rooms, 14 apartments, a restaurant, a seminar room, a spa, and a swimming pool, required a system that was not only intuitive and user-friendly but also capable of communicating with all technical batches including domestic hot water, electricity, heating, lighting, and air handling unit. The challenge was further complicated by the need to ensure quality aesthetics of the equipment and the finishing of the wiring and thermostats, to comply with the requirements of a listed historic building. Additionally, the hotel wanted to provide its international clientele with the ability to control comfort parameters from their rooms.

DataXion, the largest data center in North Africa, was faced with the challenge of ensuring energy optimization and maximizing energy consumption while achieving a Power Usage Effectiveness (PUE) of 1.6. Given the climate, energy consumption was the primary challenge for this data center. The task was not only to manage the energy consumption but also to provide the best choice of equipment and solutions to implement. The challenge was to find a solution that could provide a safe and consistent power supply, maximize system efficiency, improve energy efficiency within the data center, and provide precise air handling for the proper operation of IT equipment.

The case study revolves around the challenge of managing energy resources efficiently in a large property, Lippulaiva. The property, owned by Citycon, a top Nordic owner of city centers, had a large geothermal energy plant for heating and cooling. However, the challenge was to reduce CO2 emissions and make the city center the most environmentally responsible and friendly in Europe. The need was to control and optimize energy flows, combining building technology and business information, and continuously monitor all building technology systems.

Padania Acque, a water services provider for 113 municipalities in the Italian province of Cremona, was facing challenges in managing its water supply system. The company was struggling with high water losses, which were significantly above the national average. This was not only leading to wastage of a precious resource but also impacting the company's financial performance. The traditional methods of control and management were proving to be inefficient, leading to operational inefficiencies. The company was in dire need of a solution that could help it monitor and optimize its entire water supply system, and enable it to take predictive actions to ensure reliable and sustainable operations for its customers.

Hong Kong-based Haymarket Media Limited, a leading media specialist publisher, was facing the challenge of building a digital strategy to offset the decline in print. The company needed to analyze customer behavior online to understand what stories were being read and how recipients were interacting with their email messages. The goal was to make content more relevant by understanding how customers were engaging across multiple digital channels. The challenge was to build an analytics platform, Haymarket Piccolo, to provide customer insight. However, the infrastructure costs of running digital and technology solutions from an on-premises collocation site were becoming a concern. The company needed an alternative solution to run its analytics platform that could scale at low cost as the platform ingested larger amounts of customer-related data.