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108 case studies
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Avnet's Transformation: Accelerating Customer Insights with Cloud-Based Data Analytics - IBM Industrial IoT Case Study
Avnet's Transformation: Accelerating Customer Insights with Cloud-Based Data Analytics
IBM
Avnet, a global technology solutions provider, was facing a challenge in delivering rapid and reliable data analysis and reporting to its clients. The company's managed services clients relied on Avnet and its partners to convert their enterprise data into actionable intelligence. However, the existing hosted environment used for data warehousing and business intelligence applications was not meeting the desired performance levels. Avnet had experienced issues with their previous cloud provider, which led them to re-evaluate their hosting arrangement. The company realized that they could provide their customers with better performance and more flexibility at a more attractive price by making some changes.
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Barclays Enhances Customer Experience with IBM BPM Solution - IBM Industrial IoT Case Study
Barclays Enhances Customer Experience with IBM BPM Solution
IBM
Barclays, a global bank operating in over 50 countries and serving nearly 60 million customers, faced a significant challenge in improving and streamlining the customer experience. The bank's relationships with customers were multifaceted, with customers engaging with the bank through various channels such as mobile, online, and branch locations. The bank had identified 400 different customer journeys, and the challenge was to align these across the enterprise and improve them in a way that positively impacted customers quickly. The director of operations at Barclays, Mike Gamble, recognized the need to transform the bank's processes around customer journeys. He aimed to enhance the understanding of how various functions contribute to delivering customer experiences and then expedite the rollout time of these new processes to achieve the end goal for the customer.
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Proactive Road Management with Intelligent Analytics: A Case Study on ARTESP - IBM Industrial IoT Case Study
Proactive Road Management with Intelligent Analytics: A Case Study on ARTESP
IBM
ARTESP, the São Paulo State Transport Agency, was facing challenges in managing its vast road network, which spans over 6,400 kilometers and serves more than 20 million people across 271 cities. The agency was struggling with a lack of clear visibility into traffic and road conditions, which made it difficult to prioritize highway maintenance and management activities. This lack of clarity could potentially cause delays to inspection activities. Furthermore, the inconsistency in data reports and responses to problems by the private contractors responsible for day-to-day road maintenance, toll collection, and responding to traffic accidents, hindered ARTESP’s capacity to manage the contracts proactively and risked jeopardizing road quality. The manual effort of identifying road hazards through physical inspections and correlating service issues with accidents was increasingly time-consuming and prone to human error.
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Operational Outsourcing: A Catalyst for Asahi Beverages' Business Growth - IBM Industrial IoT Case Study
Operational Outsourcing: A Catalyst for Asahi Beverages' Business Growth
IBM
Asahi Beverages, a leading beverage company in Australia and New Zealand, faced a significant challenge when it acquired several Australian beverage businesses. The enlarged group needed to streamline and optimize operations even as further acquisitions joined the family. The company relied heavily on SAP solutions to manage its extended non-alcohol business processes, from manufacturing through to sales and distribution. However, with several new companies joining the group over the past few years, the Asahi Beverages team was keen to reduce system administration effort and maintenance costs. They wanted to use the savings to invest in new business applications and services. The challenge was to cut the number of IT incidents, accelerate the time for resolution of those incidents, and release valuable time for the technical teams to focus on innovation and business development.
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IBM Rational Software Enhances Multiplatform Development for Business Outsourcing Company - IBM Industrial IoT Case Study
IBM Rational Software Enhances Multiplatform Development for Business Outsourcing Company
IBM
A business outsourcing company that provides human capital management solutions, including HR, payroll, talent management, tax and benefits administration solutions, was faced with the challenge of modernizing its mainframe applications. One of the company’s groups, responsible for maintaining a complex payroll application, was tasked with providing web services for its front-end systems, which are written in Java. The payroll application runs on mainframe servers and processes payroll requests in large batches. The group, consisting of developers, testers, quality assurance staff and statutory research analysts, needed to find a development application that would facilitate this modernization effort.
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Lower Saxony Police Leverages IoT for Crime and Traffic Management - IBM Industrial IoT Case Study
Lower Saxony Police Leverages IoT for Crime and Traffic Management
IBM
The police forces in the German federal state of Lower Saxony were facing challenges in fighting crime and improving traffic flows due to the lack of efficient use of information from various sources. The existing systems stored information about suspects, incidents, victims of crime, and traffic accidents in several systems, making it difficult for officers to gain an overview without consulting multiple data sources. This process was time-consuming and inefficient. Moreover, the technical demands for analyzing and evaluating incidents had increased over the years, necessitating a more advanced business intelligence solution. The police force needed a solution that could provide officers with individually compiled reports about specific locations and types of crimes in near real-time, supported by a unified, consistent event processing and evaluation system.
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Enhancing Employee Collaboration with IBM Connections at Christian Brothers Services - IBM Industrial IoT Case Study
Enhancing Employee Collaboration with IBM Connections at Christian Brothers Services
IBM
Christian Brothers Services, a nonprofit service provider to Catholic and faith-based institutions, faced a challenge with its increasingly dispersed workforce. The company needed to enhance employee access to collaboration and social networking tools. The company's field employees frequently traveled within and outside the country, and many of their customer service agents worked from home full time. The company had been relying on IBM collaboration solutions to keep its workforce connected. However, the existing system of electronic teamrooms was proving to be inefficient. If an employee was involved in multiple projects, a meeting affecting all those projects appeared on each project’s team room calendar instead of as a single entry on the person’s Notes calendar. This led to a lack of centralized information and increased difficulty in managing multiple projects.
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Intelligent Asset Management for Energy Efficiency: A Case Study of Advantech Co., Ltd. - IBM Industrial IoT Case Study
Intelligent Asset Management for Energy Efficiency: A Case Study of Advantech Co., Ltd.
IBM
Advantech Co., Ltd., a Taiwan-based company offering hardware, software, system integration, design services, and logistics support, was preparing to construct two new buildings. The company wanted to avoid the issues that had plagued its existing facilities, particularly in terms of energy efficiency. This was not only due to the high costs associated with wasteful operations and reactive maintenance procedures but also because of the strict energy efficiency standards imposed by the Taiwanese government for new buildings. The challenge was to develop a solution that would enable Advantech to meet these standards and improve its overall energy efficiency.
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AMOS Streamlines Accounting Workflows with SAP and IBM - IBM Industrial IoT Case Study
AMOS Streamlines Accounting Workflows with SAP and IBM
IBM
Allianz Managed Operations & Services SE (AMOS), the shared service provider for Allianz Group, was faced with the challenge of facilitating compliance by rolling out new, standardized processes to accelerate reporting workflows and streamline quarter- and year-end closing processes. The company was seeking a more robust and efficient way to provide accurate reports in a timely manner. The aim was to build a best-practice approach that could meet the current reporting requirements and deliver the scalability to support future business growth. The challenge was to replace multiple processes with a single, integrated solution that could connect more than 80 source systems to the local SAP ERP and SAP Business Warehouse applications.
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Amadori Group's Innovative Use of IoT for Real-Time Consumer Engagement and Sales - IBM Industrial IoT Case Study
Amadori Group's Innovative Use of IoT for Real-Time Consumer Engagement and Sales
IBM
Amadori Group, a leading food company in Italy, was facing the challenge of keeping pace with the changing culinary preferences and dietary needs of young people aged 25–35. The company wanted to evolve its marketing to dynamically align with these changes and sought to create engaging ways to target this segment by exploiting the potential of online marketing and social media. The goal was to boost brand visibility, encourage customer loyalty, and gauge consumers’ reactions to products and marketing campaigns. The company also wanted to monitor marketplace perceptions of the Amadori brand and maintain brand integrity and consistency across product lines. Another challenge was to keep the content current and engaging to diverse audiences.
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AMB Sports and Entertainment Group: Enhancing Fan Experience with IoT - IBM Industrial IoT Case Study
AMB Sports and Entertainment Group: Enhancing Fan Experience with IoT
IBM
AMB Sports and Entertainment Group (AMBSE), a subsidiary of AMB Group LLC, is responsible for managing the Atlanta Falcons Football Club, the New Atlanta Stadium project, and a future Atlanta Major League Soccer team. The group faced a significant challenge in attracting fans to the stadium, as they had to compete with high-tech, at-home, and other viewing experiences. The group needed to deploy technology that could enhance the traffic and parking experience, provide faster food and beverage service, and offer equal or better Wi-Fi connectivity than at home. The ultimate goal was to create an immersive, one-of-a-kind stadium experience that would draw fans away from their screens at home and into the stadium seats.
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Improving Online Customer Experience: A Case Study on American Eagle Outfitters - IBM Industrial IoT Case Study
Improving Online Customer Experience: A Case Study on American Eagle Outfitters
IBM
American Eagle Outfitters (AEO), a leading global specialty retailer, was facing challenges in delivering high-quality shopping experiences across all its digital channels. The company relied on limited information from customer feedback forms to understand digital customer experiences. This approach resulted in incomplete information, making it difficult to replicate the exact circumstances that prevented customers from successfully completing their purchases. Consequently, it was challenging to identify 'sticking points' on the online and mobile journey that frustrated customers. The company was also struggling with low conversion rates due to issues such as a corrupted shopping cart and incorrect discount codes. Additionally, AEO was facing difficulties in understanding customer interactions on the mobile channel due to the complexity of multiple mobile devices, browsers, and screen sizes.
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Audi's Strategic Migration to IBM Private Cloud for Enhanced Business Processes - IBM Industrial IoT Case Study
Audi's Strategic Migration to IBM Private Cloud for Enhanced Business Processes
IBM
AUDI AG, a leading global car manufacturer, was facing stiff competition from low-cost manufacturers developing their own brands. To stay ahead, Audi aimed to create super-efficient business processes. The company had implemented SAP® ERP to manage various aspects of its business operations, from human resources and cost control to supply chain and plant maintenance. Over time, the SAP environment had expanded to around 100 separate systems, running on 12 HP servers with Oracle databases and an additional 24 HP blades. Audi wanted to improve its IT efficiency to reduce capital and operational costs and create a greener infrastructure, aligning with the company’s sustainability strategy. The company also aimed to increase the availability and performance of its SAP systems, making them more scalable and flexible. The IT Services Department at Audi was tasked with helping the company face several broad business challenges, including increasing demands from employees, customers, and suppliers; the need to support new technologies; rising cost pressures; and growing competition.
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Banco Galicia's Digital Transformation with SAP and IBM - IBM Industrial IoT Case Study
Banco Galicia's Digital Transformation with SAP and IBM
IBM
Banco Galicia, one of Argentina's top three private banks, faced a significant challenge in improving the time-to-market for new financial products and services. The bank's legacy IT applications and systems were unable to support the rapid changes required to stay competitive in the market. The bank's existing software, which had been in place for over 20 years, was largely developed in-house and designed to meet past banking needs. However, the proposed new services required a customer-focused approach, and the older software could not be extended or adapted rapidly enough to provide the necessary capabilities. The bank serves a large client base, from individuals to large corporations, each with specific requirements. The existing IT systems were not flexible enough to differentiate the bank's approach to each client. The challenge was to modernize the IT infrastructure to meet the requirements of a 21st-century bank and compete with the world's major banking corporations.
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Benelux Bank: Enhancing Security and Reducing Risk with IBM Fraud Detection Solutions - IBM Industrial IoT Case Study
Benelux Bank: Enhancing Security and Reducing Risk with IBM Fraud Detection Solutions
IBM
A Benelux bank, providing banking, savings, investment, and pension products and services, was facing a significant challenge due to the increase in malware-based attacks in its region. The bank was particularly concerned about man-in-the-browser and man-in-the-middle attacks against its customers. While the bank had not experienced a fraud loss from these attacks, the executives were worried about the potential damage these attacks could cause to the bank and its customers. The bank had previously invested heavily in perimeter security, such as intrusion prevention systems, to prevent criminals from accessing the bank's network. However, as fraudsters began targeting bank customers through malware attacks, the bank executives realized the need to expand their security capabilities to the endpoint. The bank was only able to learn about a fraud attempt when a customer reported an issue with their account balance. Therefore, they sought an additional layer of security to gain an early warning of malware-driven attacks.
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IBM Cognos TM1: Streamlining Enterprise Planning for Bugaboo - IBM Industrial IoT Case Study
IBM Cognos TM1: Streamlining Enterprise Planning for Bugaboo
IBM
Bugaboo, a Dutch company known for its trendy pushchairs, was facing challenges in generating accurate financial and sales forecasts in a timely manner. The company's rapid growth had led to changes in planning and forecasting requirements, and the existing system, IBM Cognos Planning, was reaching its limits. Performance-related issues were causing disruptions, and any changes to the planning model required the entire system to be halted. The model was split into four geographic regions to facilitate management outside office hours, but this meant that each change had to be implemented four times. Furthermore, Bugaboo wanted to broaden its planning and forecasting to include more than just financial and sales forecasts. For instance, the Innovation Department wanted to monitor costs at every stage of a project, from development through to production.
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Predictive Analytics Boosts Revenue Collection for California Franchise Tax Board - IBM Industrial IoT Case Study
Predictive Analytics Boosts Revenue Collection for California Franchise Tax Board
IBM
The California Franchise Tax Board (FTB), a part of the California Government Operations Agency, was faced with a daunting task. They had a list of over three million delinquent or non-filing taxpayers and were struggling to determine where to start the collection process. The traditional methods of relying on experience and anecdotal evidence were no longer effective, and state revenue was suffering as a result. The board was grappling with a multibillion-dollar gap between the amount they collected and the amount they were owed. The challenge was to find a more efficient and effective way to prioritize nonpayment cases and increase revenue collection.
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CarrefourSA's Rapid Expansion Strategy: Leveraging IoT for Retail Growth - IBM Industrial IoT Case Study
CarrefourSA's Rapid Expansion Strategy: Leveraging IoT for Retail Growth
IBM
CarrefourSA, a leading multinational retail group, set an ambitious revenue goal of USD 2.7 billion by 2016 in Turkey. To achieve this, the company aimed to more than double its retail footprint by opening at least one new store every day for an entire year. However, the existing processes and systems meant it took an entire month to set up a new store. The company faced the challenge of expanding its store landscape rapidly to connect with prospects ahead of its competitors. The process of making a new retail store operational involved onboarding new employees, installing and connecting the point-of-sale systems, adding new delivery points to the stock distribution network, and more. The company relied on multiple different business systems to manage these business processes, which were complex and time-consuming due to limited integration between the systems.
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CERN Leverages IBM Technology for Massive Data Management - IBM Industrial IoT Case Study
CERN Leverages IBM Technology for Massive Data Management
IBM
CERN, the European Organization for Nuclear Research, is tasked with managing an enormous data archive of 100 petabytes, a volume that nearly doubles as 13 large data centers worldwide receive partial copies of the data. The data is generated by the Large Hadron Collider (LHC), the world’s largest and most powerful particle collider, which is used to reconstruct the first moments of the universe to gain a better understanding of physical laws. The LHC generates more than 25 petabytes of data in the four main LHC experiments, even with drastic data filtering protocols in place. CERN does not have the computing capacity required to analyze the data, so it relies on a distributed environment consisting of 160 different computer centers located in 45 countries to distribute data to its scientists. The biggest challenge is the constant influx of data, more than a gigabyte per second, which needs to be stored, preserved in the long term, and made accessible to several thousand physicists worldwide.
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Chamberlain Group's IoT Solution for Secure Home Access Control - IBM Industrial IoT Case Study
Chamberlain Group's IoT Solution for Secure Home Access Control
IBM
Chamberlain Group, Inc., a leading connected products company, recognized a gap in the market where consumers wanted to use their smartphones to control and monitor their garage doors from anywhere in the world. The company developed an innovative solution, the MyQ smartphone app, which quickly gained popularity with a monthly growth rate in user numbers hitting 15 percent. However, the existing system architecture was not robust enough to withstand the pressure of this growth rate for long, and the risk of impact on performance and availability was constantly rising. The company needed to ensure that the app was highly reliable and responsive for consumers, especially when it controls something as important as the security of peoples’ homes. The challenge was to make the existing architecture more robust and scalable, so that it could support future peaks of up to one million concurrent consumer actions.
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ABT Power Management: Empowering Business Growth Through Collaborative Learning - IBM Industrial IoT Case Study
ABT Power Management: Empowering Business Growth Through Collaborative Learning
IBM
ABT Power Management, a family-owned company that provides engineered solutions for DC powered applications, was facing a significant challenge. As the company grew and took on new customers, it realized the need to increase its headcount. However, the transfer of technical knowledge to new employees, essential for delivering exceptional customer services, posed a significant hurdle. In the early days, institutional knowledge was stored in the minds of company experts, who had vast experience working in the industry. As the company expanded, it needed a new way to store and share institutional knowledge effectively with new members of its team. The challenge was to find a solution that could bridge the gap between classroom learning and professional learning, enabling new employees to get up to speed on the industry faster and more efficiently.
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Agriauto Stamping Company's IoT Transformation: Boosting Customer Satisfaction by 90% - IBM Industrial IoT Case Study
Agriauto Stamping Company's IoT Transformation: Boosting Customer Satisfaction by 90%
IBM
Agriauto Stamping Company, a Pakistan-based manufacturer of die and sheet metal components, was facing a significant challenge. The company wanted to capitalize on a surge in demand for sheet metal parts and seize a larger market share. To do this, they aimed to offer speedy delivery options to their customers. However, their existing manual systems and processes were not adaptable enough to accommodate rapid changes in production to meet new orders. The company's reliance on manual calculations and spreadsheets for production planning was causing delays, bottlenecks in obtaining raw materials, and wastage of spare capacity. The manual processes also increased the risk of human error, leading to mistakes in data and potentially incorrect parts being manufactured and sent to customers.
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Alleyoop Inc. – Cost-Effective Web Development and Hosting Solution with Drupal and SoftLayer - IBM Industrial IoT Case Study
Alleyoop Inc. – Cost-Effective Web Development and Hosting Solution with Drupal and SoftLayer
IBM
Alleyoop Inc. was presented with a significant challenge by a government organization in Japan. The organization required the creation of a website designed to facilitate sports camps and, in anticipation of the 2020 Summer Olympic Games, to support visiting sports teams and tourists. The website needed to be multilingual and agile, capable of accommodating a fluctuating number of visitors from locations worldwide. The challenge was not only to create a website that met these requirements but also to find a hosting solution that was cost-effective and capable of handling the expected traffic without compromising on performance.
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IBM Event Connect Enhances Alliance Tech's Event Reporting and Analytics - IBM Industrial IoT Case Study
IBM Event Connect Enhances Alliance Tech's Event Reporting and Analytics
IBM
Alliance Tech, a provider of event technology solutions, was seeking to enhance the scope and timeliness of its event reporting and analytics solutions. The company wanted to exceed the expectations of its customers, who are primarily event organizers. Alliance Tech's solutions integrate analytics and marketing automation tools to provide actionable and insightful leads from data gathered about attendees as they journey through an event. The company was the first to offer RFID badge readers and online schedules to track attendee interests and preferences at conferences. However, Alliance Tech wanted to make the insights gathered from these tools available to its business customers each night so they could take action based on attendees’ behavior that day.
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AMC Networks: Leveraging IoT for Viewer Engagement and Advertiser Value - IBM Industrial IoT Case Study
AMC Networks: Leveraging IoT for Viewer Engagement and Advertiser Value
IBM
AMC Networks, a leading cable television network, was facing the challenge of understanding customer behavior in a rapidly evolving multi-channel world. Despite its success with critically acclaimed shows like Breaking Bad, Mad Men, and The Walking Dead, the company recognized the need to appeal to a new generation of millennials who consume content in very different ways. The traditional reliance on ratings data and third-party analytics providers was proving insufficient. The company needed to take ownership of its data to get a richer picture of who their viewers are, what they want, and how to keep their attention in an increasingly crowded entertainment marketplace. The challenge was the sheer volume of information available – hundreds of billions of rows of data from various sources such as Nielsen, comScore, AMC’s TV Everywhere live web streaming and video on demand service, retail partners like iTunes and Amazon, and third-party online video services like Netflix and Hulu.
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andagon Enhances Application Performance with SAP and IBM - IBM Industrial IoT Case Study
andagon Enhances Application Performance with SAP and IBM
IBM
andagon GmbH, a renowned consulting company specializing in software testing, process and test automation, often encounters clients who have identified quality issues or performance bottlenecks during the implementation phase of their applications. These clients turn to andagon to analyze the difficulties and develop a customized test plan to efficiently address the performance issues. In typical commercial environments, software testing is often delayed until the end of a project, increasing the pressure on the testing team and process. To assess the performance of a complex application quickly and effectively, efficient tools are required to create and execute the relevant test cases. Thousands of companies rely on SAP software to run their core business processes, and need to make sure that application errors do not disrupt business operations. Particularly for manufacturing companies, system downtime can cause significant financial damage. If software quality and performance issues are spotted at a late stage in a development project, the costs and delays incurred by corrective work damages companies’ abilities to reach their goals.
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AppAdvice: Personalized iOS app news and reviews powered by IBM Cloudant DBaaS - IBM Industrial IoT Case Study
AppAdvice: Personalized iOS app news and reviews powered by IBM Cloudant DBaaS
IBM
AppAdvice, a Los Angeles-based company providing a comprehensive range of iPhone and iPad application reviews, news, and app discovery services, faced a significant challenge in managing its variably structured data. The company needed to store this data in its application catalog in a way that was not only easy and inexpensive to start with but also capable of handling potentially massive future growth. Given the nature of the data, a relational SQL database was not a viable option for the platform. As an early-stage company, AppAdvice was looking for a NoSQL database that was easy and inexpensive to get started with, but built for growth.
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Apria Healthcare: Leveraging Accurate Forecasts for Competitive Healthcare Services - IBM Industrial IoT Case Study
Apria Healthcare: Leveraging Accurate Forecasts for Competitive Healthcare Services
IBM
Apria Healthcare, a leading provider of home respiratory services and medical equipment in the United States, was looking to expand its high-quality care services into new markets. However, the company faced challenges in identifying cost centers due to its manual forecasting system. The company's spreadsheet-driven forecasting system made it difficult to understand the true cost of operations, which was crucial for a healthcare organization of their size. The company gathered a lot of data about the market for their specialist products, but the inconsistent and inaccurate data capturing and usage made it difficult to focus on the most promising opportunities. The company needed a solution that would help them understand their true operational costs, increase efficiencies, control costs, and build more competitive pricing models for their services.
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Population Health Management Platform Anchors Arch Health’s Approach to Lowering Hypertension - IBM Industrial IoT Case Study
Population Health Management Platform Anchors Arch Health’s Approach to Lowering Hypertension
IBM
Arch Health Partners, a multi-specialty group with over 90 providers at 13 locations in San Diego County, was facing a challenge with its hypertensive patient population. The group's hypertension statistics were below their expectations, and they were struggling to improve the health of these patients. The first step in driving better outcomes was identifying at-risk patients from within a large and growing patient population, which proved to be a more difficult challenge than originally expected. As the organization continued to grow, managing clinical data and improving quality scores became increasingly difficult due to manual processes. The organization realized that to increase the quality and frequency of patient engagement, they would need to automate some of their processes.
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Automating Analytics for Enhanced Customer Service: A Case Study on athenahealth - IBM Industrial IoT Case Study
Automating Analytics for Enhanced Customer Service: A Case Study on athenahealth
IBM
athenahealth, a leading provider of support services for doctors and healthcare providers across the United States, was facing a challenge in its internal approach to data analysis. Following a period of rapid growth and multiple acquisitions, the company's existing analytics and reporting solution was falling short of its needs. The company relied on data from multiple sources, including financial and operational data from its own systems and external data. However, the process of gathering data was laborious and technical, leaving little time for actual analysis. The company's analysts were spending too much time manually gathering data, and business leaders had to wait for analysts to generate reports on their behalf. The company needed a more flexible approach that could help it respond faster to changes in rules, regulations, and demands from its customers.
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