Google Cloud Platform
概述
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总部
美国
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成立年份
2008
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公司类型
私营公司
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收入
$1-10b
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员工人数
10,001 - 50,000
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网站
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推特句柄
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公司介绍
物联网应用简介
Google Cloud Platform 是基础设施即服务 (iaas), 分析与建模, 平台即服务 (paas), 网络与连接, 机器人, 传感器, 功能应用, 网络安全和隐私, 应用基础设施与中间件, 和 自动化与控制等工业物联网科技方面的供应商。同时致力于农业, 服装, 汽车, 建筑物, 水泥, 建筑与基础设施, 消费品, 电子商务, 教育, 电网, 设备与机械, 金融与保险, 食品与饮料, 玻璃, 医疗保健和医院, 生命科学, 国家安全与国防, 包装, 塑料, 零售, 电信, 和 运输等行业。
技术
用例
功能区
行业
服务
技术栈
Google Cloud Platform的技术栈描绘了Google Cloud Platform在基础设施即服务 (iaas), 分析与建模, 平台即服务 (paas), 网络与连接, 机器人, 传感器, 功能应用, 网络安全和隐私, 应用基础设施与中间件, 和 自动化与控制等物联网技术方面的实践。
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设备层
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边缘层
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云层
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应用层
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配套技术
技术能力:
无
弱
中等
强
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实例探究.
Case Study
BBVA: Leveraging Geospatial Data for Innovative Customer Services
BBVA, a global banking and financial services group, was faced with the challenge of adapting to the rapidly changing landscape of digital payments. The bank noticed a significant increase in mobile payments, particularly during the COVID-19 pandemic, with the percentage of customers using this method rising from 4.4% to 23%. As part of its digital transformation journey, BBVA aimed to offer its customers an exceptional range of services and a great banking experience. The bank was already using Google Maps Platform to help customers find their nearest branch or ATM locations, but it wanted to further leverage the potential of Google Maps Platform solutions. BBVA's mobile banking app was used by 71% of its customers in Spain, and was accessed more than 120 million times a month. The bank wanted to provide more information about each customer transaction to offer a better financial experience for digital customers.
Case Study
Data-Driven Innovation in Insurance: A Case Study of Assurance IQ and Looker
Assurance IQ, a direct-to-consumer platform offering personalized health and financial wellness solutions, faced a significant challenge in its early days. The company's data team was small and struggled with a scattered internal view of the business due to disconnected reports in siloed tools. They were using Excel, SQL, and other in-house tools, but lacked a true business intelligence (BI) platform. This resulted in inefficient use of time and a lack of a complete real-time view of the business for decision-making. Leadership lacked critical insight, and there were constant challenges around trust and consistency of the data. The data team wanted to ensure that each team member was looking at the same clean, accurate data and wanted to empower employees to explore the data on their own. However, the visualization tool they were using lacked version control and standardization.
Case Study
Bank BRI: Revolutionizing Financial Inclusion in Asia with Digital Banking
Bank Rakyat Indonesia (Bank BRI), one of the largest banks in Indonesia, was faced with the challenge of increasing financial inclusion among unbanked Indonesians. The bank had an ambitious target of having 84 percent of Indonesians participating in the banking system by 2022. However, the bank's legacy technologies were proving to be a hindrance in achieving this goal. Each of the bank's products had their own public APIs, which were difficult to manage, secure, and monetize. Additionally, the process of onboarding new partners using host-to-host and VPN technology was time-consuming, taking up to six months. The bank also faced the challenge of reaching a largely rural population, with an estimated $8.3 billion in currency being held outside the banking system.
Case Study
Benetton Group: Enhancing Customer Experience with AI and Cloud-Based Analytics
Benetton Group, a globally recognized fashion company with a network of 4,000 stores, was faced with the challenge of improving its online customer experience during the COVID-19 pandemic when physical stores were shut. The company had already digitized its shopping experience and built a marketing data lake to understand its customers better. However, it sought to enhance its recommendation tool for online customers and provide a more personalized, real-time shopping experience. The existing content management solution had a built-in recommendation tool, but it lacked sophistication. Benetton Group wanted to leverage advanced analytics and AI to gain detailed insights into shopping patterns, store performance in a multichannel environment, and how to localize recommendations for a global customer base.
Case Study
Alpred SL: Global Expansion of a Local Sports Paper with Google Cloud
Alpred SL, a Spanish information services company, faced the challenge of transforming a traditional print newspaper, Estadio Deportivo, into a sustainable, digital sports media brand. The company aimed to create a free, continuously updated, 100% digital sports news platform for Spanish-speaking sports fans worldwide. However, the existing infrastructure of Estadio Deportivo was entirely on-premise, and its content management system (CMS) was designed for both print and online versions, which was obsolete and no longer fit for Alpred's purposes. The company was dealing with constant setbacks, errors, and outages, which made it difficult to manage. Moreover, the sports world moves fast, and Estadio Deportivo’s services needed to be constantly available and handle considerable traffic peaks, especially on match days.
Case Study
ARD: Transforming Public Broadcasting with Google Cloud
ARD, the world’s largest public-service broadcaster network, was facing challenges in keeping up with changes in how users consume content. The organization's previous hosted data center infrastructure was 10 years old and had a monolithic architecture, which resulted in a development turnaround cycle of three months. Video content was distributed without being tailored to particular devices. In 2018, ARD decided to change the monolithic infrastructure for its video delivery platform to improve the user experience, regardless of how users were watching or listening. The challenge was to build a new platform that could cover all touchpoints, support a truly digital-first strategy, and improve the user experience on a global scale.
Case Study
Banco Davivienda: Accelerating Digital Transformation with Google Workspace
Banco Davivienda, Colombia’s third largest bank, was facing a challenge in improving its customer ratings due to its continued reliance on manual processes. Despite having a reputation as a banking innovator and a trusted financial services provider, the bank recognized the need for a digital transformation to enhance customer interaction and drive efficiencies. The bank identified six transformation projects, including a sales performance model, sales digital support, self-learning, digital and effective meetings, digital workflows approval, and project management. However, the bank needed a technology partner to support this transformation and help change the way people worked, drive efficiencies, and improve performance.
Case Study
bolttech: Revolutionizing Insurance with Apigee and Google Cloud
bolttech, an international insurtech business, was launched in 2020 with the aim of building a leading, technology-enabled ecosystem for protection and insurance. The insurance sector has traditionally been slow to embrace trends such as hyperconnectivity, and bolttech saw an opportunity to change this. The company's technology strategy involved enabling both supply side insurance carriers and demand side business partners to connect seamlessly to its exchange. However, bolttech faced challenges in finding an API management solution that could provide a superior integration experience with its partners across Asia, Europe, and the United States. The solution needed to support growth in traffic, promote a thriving developer ecosystem, and provide efficiency benefits from the deeper connection between systems and components.
Case Study
Booksy: Leveraging IoT to Revolutionize Beauty and Health Service Booking
Booksy, a world-leading appointment management platform, was facing a significant challenge in scaling its infrastructure to match its rapidly growing user base. With its client base doubling every year, Booksy needed a scalable architecture to handle the increasing number of bookings. Initially, Booksy was built using on-premises servers, which led to a series of scaling issues. When extra capacity was required, the team had to wait several weeks before new servers were assembled and online. Maintaining the data centers was a lot of work and took their focus away from coding. Furthermore, they needed to do more coding to meet the demands of scaling up, such as refactoring code for larger architecture. The Booksy application ran on a monolithic architecture, making migration to a more scalable solution a complex task.
Case Study
Auto Avaliar: Transforming Automotive eCommerce with Google Cloud
Auto Avaliar, a leading B2B automotive eCommerce platform for used vehicles in Brazil, was facing challenges with its legacy data center infrastructure. The company was poised to expand into new markets, but the existing infrastructure could not cost-effectively or efficiently scale to support additional users, new applications, and evolving security requirements. The company needed a reliable, secure, and fast cloud-based platform to support its growth and meet its security needs. Furthermore, Auto Avaliar required a knowledgeable partner to assist with the migration to the new platform and provide ongoing consulting services.
Case Study
bonprix: Enhancing Shopping Experience with Scalable ML and AI Automation via Google Cloud
bonprix, an online international fashion and homeware retailer, was facing challenges with its traditional on-premises data warehouse setup based on Teradata and a data lake based on Cloudera Hadoop. As the amount of raw data the company collected grew, storage costs rose. The company also had to deal with the complexity of managing two different systems for structured and unstructured data. This not only made data comparison difficult but also hindered the enhancement of their machine learning and artificial intelligence capabilities. bonprix wanted a solution that would allow all their data to be in the same place, be more cost-effective, and enhance their machine learning and artificial intelligence capabilities.
Case Study
Aerospike Achieves One Million Writes Per Second on Google Compute Engine with Just 50 Nodes
Aerospike, an open-source, flash-optimized, in-memory NoSQL database, was looking to push the boundaries of Google's speed on Google Compute Engine. The challenge was to meet high throughput, consistently low latency, and real-time processing, which are characteristic of future cloud applications. The team at Aerospike was inspired by Ivan Santa Maria Filho, Performance Engineering Lead at Google, who demonstrated 1 Million Writes Per Second with Cassandra on Google Compute Engine. The goal was to benchmark Aerospike's product performance on Google Compute Engine and see if it could scale with consistently low latency, require smaller clusters, and be simpler to operate.
Case Study
Almundo's Transformation: Enhancing Collaborative Work with Google Workspace
Almundo, a leading travel technology company and omnichannel agency, was facing a challenge in transforming its ecosystem into a more collaborative model. With operations expanding throughout Latin America, the company had over 800 professionals and more than 330 travel experts working in various areas of the business. The goal was to create a more coordinated work environment that would have a positive impact on productivity. However, the company was relying on legacy tools that were not conducive to collaborative work, distributed access, and productivity of work teams. The challenge was to find a solution that would meet these specific requirements and help the company maintain its leadership position in Latin America.
Case Study
Asahi Group Holdings: Modernizing Legacy Systems with Google Cloud
Asahi Group Holdings, a global corporation with a diverse portfolio in food and beverages, was facing challenges with its legacy systems. Back in 2014, the company lacked the necessary environment and tools to carry out its vision, which was affecting daily operations. The IT department was becoming a cost center, with the team focused on updating tools daily. As part of their growth strategy and mission of creating “a winning Asahi”, the company needed to modernize its business systems. Extending the life of existing assets and moving to a new environment became a priority. However, the company had limited resources to achieve this.
Case Study
Auchan France: Leveraging IoT for Enhanced 'Phygital' Retail Experiences
Auchan France, a multi-format and phygital retailer with over 600 locations and 60,000 employees, was facing challenges with its massive data management system. The system was responsible for handling data from 500 applications used across the business. The company was relying on on-premise infrastructure to manage data, but it was struggling with speed, monitoring, and scalability issues due to the rapid growth of its operations. The company was processing approximately five million data flows daily through its database and various applications covering business intelligence, supply chain, financials, B2B, human resources, and more. The platform team at Auchan was seeking ways to maximize the value of the data exchange system and improve access to business intelligence.
Case Study
Auto Trader (UK): Enhancing Agility and Security in Automotive Marketplace with Istio and Google Cloud
Auto Trader (UK), the largest digital automotive marketplace in the United Kingdom, was facing challenges with its existing infrastructure. The company's infrastructure was previously deployed from its own data centers via a private cloud. The company wanted to improve its security and encryption, and create a more agile architecture to enable faster innovation. Auto Trader (UK) wanted to upgrade its security layers and implement mutual Transport Layer Security (mTLS) authentication between its apps. However, retrofitting these changes to its previous infrastructure would have been difficult due to the complexity of modifying hundreds of applications and building additional elements. The company also wanted to optimize its CPU allocation, which was previously uniform across all instances due to the inability to accurately measure the impact of changes.
Case Study
autoRetouch: Revolutionizing Image Editing for Online Retailers with Google Cloud
autoRetouch, a Germany-based company, provides an automated image processing platform for fashion image producers worldwide. The shift to e-commerce has increased the demand for high-quality product images, which often require edits such as background removal and skin retouching. For retailers with hundreds of product lines, manually editing each image to perfection is a time-consuming and costly process. autoRetouch aimed to revolutionize this process by making it more time- and cost-effective. However, to train and run the models for its custom-developed machine learning algorithms, autoRetouch required powerful CPU and GPU processors that need to be available on demand. The platform had to be available around the clock and scale from processing a few images to hundreds of thousands, in seconds.
Case Study
AVEVE Group: Streamlining Agricultural Operations with Google Workspace
AVEVE Group, a Belgian agricultural supplier, was facing challenges in coordinating its diverse businesses spread across more than 50 companies and 400 locations. Each of these companies operated independently, running its own administrative processes, leading to a siloed work environment with little communication between different parties. This lack of a unified platform for information and resource sharing was hindering productivity and efficiency. AVEVE Group was looking to centralize and standardize its processes, requiring a robust platform for collaboration. The company also aimed to shift from individual bookkeeping to a shared service center for managing finances for the entire group, necessitating increased inter-company communication.
Case Study
Balgrist Campus: Enhancing Low-Back Pain Research with Google Cloud
Balgrist Campus, an internationally renowned research institute for musculoskeletal issues, was facing challenges in expanding its research on lower-back pain. The Integrative Spinal Research (ISR) group at the campus was gathering data from patients across a broad range of symptom durations, using an on-premises cloud setup linked to a network of supercomputers to process and analyze the information. However, this setup had limitations. The growth of the ISR research team and the success of their projects presented problems, including the need for more workstations and increased computing power. The expense of purchasing additional infrastructure and the desire for a more cost-effective solution led the team to seek alternatives.
Case Study
Band Aid 30's Successful Deployment on Google Cloud Platform
Band Aid 30, a global philanthropic initiative aimed at raising funds for Ebola relief, was faced with the challenge of organizing a live performance featuring dozens of top music artists. The project was to be executed in less than 14 days, with a small team of two web developers, Mukesh Randev and Jonathan Horne from Adtrak, a UK-based media agency. The task was to deploy a website that could handle heavy traffic from millions of followers of the participating artists. The website was to be hosted on Google Cloud Platform, a platform that was relatively new to the developers. The challenge was to ensure the website remained online and could handle the anticipated heavy traffic, while also being cost-effective.
Case Study
BharatPe: Leveraging Google Cloud for Enhanced Data Analytics and AI to Promote Digital Payments
BharatPe, a fintech company founded in 2018, aimed to make digital payments more accessible for over 10 million small offline merchants and kirana store owners in India. However, the company faced challenges in managing the massive amounts of data generated daily from payment processing to business analysis. Prior to using Google Cloud, BharatPe managed its legacy data warehouse with limited capacity to run a large number of queries. The company ran key performance indicator (KPI) reports, without the ability to understand real-time data patterns. Loading three months of data for quarterly reports took more than 30 minutes on the legacy system, and in some cases, queries failed because the system could not scale to support analytical needs. Additionally, BharatPe operates in a multi-cloud environment for disaster recovery and needed a data platform that could run queries against data, regardless of where it resides.
Case Study
Blockchain.com: Streamlining Infrastructure with Google Cloud Spanner
Blockchain.com, a leading cryptocurrency software company, was facing significant challenges in managing its large databases. The company's primary products, Blockchain Wallet and Blockchain Explorer, required complex calculations on hard-to-access data across vast databases. As the popularity of cryptocurrencies grew and the company expanded to cover other cryptocurrencies such as Ethereum, Bitcoin Cash, and Stellar Lumens, securely maintaining these databases became a major undertaking with significant resource overheads. The company was spending a lot of time and resources on maintaining and managing its infrastructure, which was affecting its ability to focus on domain-specific challenges and deliver a peerless user experience across all products.
Case Study
Bloomreach: Scaling for Peak Performance with Google Cloud
Bloomreach, a leading Commerce Experience Cloud, faced significant challenges as it grew rapidly since its launch in 2015. The company's growth began to strain its bare-metal IT infrastructure, affecting both development and stability. The company experienced server failures and poor connections with their data center provider, which threatened the reliability of their service. Furthermore, with the advent of GDPR regulations and a global client base, Bloomreach had to prepare for a more complex security environment. Their existing infrastructure was not capable of handling the upcoming challenges, and they needed a solution that could provide scalability, stability, and security.
Case Study
Botify: Leveraging Google Cloud for Enhanced SEO and Revenue Growth
The global COVID-19 lockdowns during 2020 and 2021 accelerated the growth of online sales, leading to a 34% increase in e-commerce purchases in the U.S. alone. This surge in digital activity led brands across all industries to reassess their digital presence. As businesses look to maximize revenue from e-commerce, the global search engine optimization service market is expected to be worth more than $100 billion in 2025. Botify, an enterprise software company, faced the challenge of helping its customers drive sustainable traffic and increase online revenue in this rapidly evolving digital landscape. The company needed to analyze vast amounts of data, optimize websites for search engines, and provide actionable insights for website improvements.
Case Study
Bounce: Enhancing Urban Mobility in India with Google Maps Platform
Bounce, a smart mobility solution in India, was faced with the challenge of making daily commutes stress-free, time-saving, reliable, and convenient for its users. The company, which operates a scooter sharing mobility app, needed a location solution that could scale rapidly and provide accurate location information to its growing customer base. The motorized scooter, being the best selling vehicle in South Asia, was the chosen mode of transport for Bounce. However, the company needed to guide users to the nearest available scooters, provide unmatched location accuracy and information, and quickly scale to serve a growing customer base of more than 2.1 million people. Bounce officially launched its mobility app in September 2018 in Bangalore, one of the largest cities in India with a metropolitan population of more than 10 million. The app was so popular and easy to use that within two years, it had spread to bustling Hyderabad and a host of other cities.
Case Study
MITx’s edX Course Leverages Akselos for Complex Engineering Simulations on Google Compute Engine
Engineering simulations are a critical part of designing and assessing infrastructure such as bridges, buildings, and aircraft. However, the industry-standard technology, Finite Element Analysis (FEA), is computationally intensive and often unfeasible for large-scale 3D simulations. These simulations require large amounts of RAM, often exceeding the capacity of a desktop workstation, and can take hours or even days of computation time. This is particularly problematic when time is at a premium and engineers need to perform hundreds or thousands of simulations for a piece of critical infrastructure. Additionally, attempts to integrate simulations within university courses have been unsuccessful due to the complexity of the tools.
Case Study
Alcide: Leveraging Google Kubernetes Engine for Efficient Cloud-Native Security
Alcide, a cloud-native security leader, was facing challenges in securing complex and distributed cloud stacks for organizations. The modern cloud deployment was intricate with numerous moving parts and shifting parameters, making it difficult to operate and secure. The traditional security protocols were not sufficient for the evolving technology standards and the convenience of the cloud. Alcide aimed to provide a complete security solution specifically designed for cloud-based infrastructure, but the process of provisioning new clusters was manual and time-consuming, taking up to 2-3 days. This was a significant drain on their resources and time, which were already limited.
Case Study
Google Cloud Platform: A Recipe for Success at Allthecooks
Allthecooks, a social media platform for cooking enthusiasts, faced the challenge of managing a rapidly growing user base. The platform, which allows users to find, rate, comment on, and post their own recipes, had to process hundreds of thousands of simultaneous API requests whenever popular chefs updated their content. The company, which started with just three part-time engineers and no external funding, needed a scalable and reliable infrastructure to support its growth. The challenge was not just about speed, but also about scalability. As the user base grew, the need for a more robust backend processing architecture became evident. Cost was also a significant concern as the company was using its savings to build the platform.
Case Study
Alma: Streamlining Installment Payments for Retailers and Customers with Google Cloud
Alma, a fintech startup based in France, was founded in 2017 with the aim of providing an easy-to-use payment service that guarantees instant payment to retailers while allowing customers to pay in installments. The 'buy now, pay later' model, while beneficial for retailers in terms of increased conversion rates, larger basket sizes, and improved customer satisfaction, also posed significant risks. Retailers had to bear the burden of chasing debts and the possibility of late or cancelled payments. In France, such schemes were only viable for larger enterprises with extensive working capital and large credit lines. Smaller businesses were unable to afford the financial risks or secure the same level of support from their banks. Alma sought to address this challenge by developing an installment payment platform that would be accessible to a wide range of retailers and customers.
Case Study
Alquería's Digital Transformation with Google Workspace
Alquería, a Colombian conglomerate of over 24 companies with more than 4,000 employees, faced significant challenges in integrating teams across different cities and locations into a collaborative environment. The company aimed to increase its digital employee base, further digitize its processes, enhance collaboration and productivity in internal processes, and improve security levels to reduce information leaks. The main obstacle to growth was identified as technological barriers, which needed to be broken with cloud solutions for the company to scale. The challenge was to incorporate tools that did not exceed the limit of what was possible, while efficiently allocating licenses and resources for each employee role.
Case Study
Alto's Transformation of Ride-Hailing Experience with Google Maps Platform
Alto, a ride-hailing company founded in 2018, operates with a unique business model where all drivers are W-2 employees and the company owns all the cars. This approach is designed to provide a safe, clean, consistent, and high-quality experience for every passenger. However, the company faced challenges in maintaining efficiency and competitiveness due to its smaller size compared to more established ride-hailing companies. One of the key issues was imprecise pickup points, which often led to delays and customer complaints. Drivers were often directed to incorrect locations, requiring extra driving time or contact with the customer to determine the proper pickup point. Additionally, the company had to manually input custom areas, locations from which riders frequently request a pickup that are not necessarily on the map yet. This process was time-consuming and inefficient.
Case Study
Apiiro: Enhancing Cloud-Native Application Security with Google Cloud
Apiiro, a cloud-native application security platform, was faced with the challenge of providing complete visibility of all application components to security and development teams. This was crucial in order to map the application attack surface and proactively remediate critical risks before releasing to the cloud. The complexity of security issues was increasing as software development accelerated and businesses used agile models to deploy more apps at a faster rate. Traditional application security tools were proving ineffective in improving a company's security posture due to the intricate combination of multiple factors that contribute to risks. Furthermore, Apiiro needed to ensure near-perfect uptimes to deliver resilience and grow its business on Google Marketplace.
Case Study
Arab Bank: Revolutionizing App Development and Innovation with Google Cloud
Arab Bank, a leading financial institution in the Middle East, recognized the need to innovate and modernize its services to maintain its market position and attract new customers. Despite its strong presence in the market, the bank faced challenges in responding quickly to the growing consumer market and the small and midsize enterprise (SME) sector. The Middle East and North Africa (MENA) region, where Arab Bank operates, has a largely unbanked population, with a significant portion interested in new digital tech capabilities. The bank also had to deal with legacy systems and applications, which made it difficult to release new features and functionalities frequently. Furthermore, Arab Bank had to navigate regulatory constraints such as data residency rules in the countries where it operates.
Case Study
ARIGATOBANK: Leveraging Google Cloud for Scalable Donation Platform
ARIGATOBANK Inc., a Tokyo-based financial services business, operates a platform called kifutown that connects donors with those in need of financial aid. The platform has grown significantly, handling over 2,000 donation projects as of March 2022. However, the company faced challenges in managing sudden traffic surges, particularly due to the influence of high-profile shareholder Yusaku Maezawa. A single social media post from Maezawa could lead to a significant increase in traffic, posing a challenge to the platform's infrastructure. The company needed a solution that could handle these traffic surges without impacting availability and latency. Additionally, ARIGATOBANK wanted to maintain development speeds and quality while undertaking progressive development, which required clear delineation of responsibilities and efficient operation of the application server.
Case Study
Aruna: Revolutionizing Indonesian Fishing Industry with IoT and Data Insights
In Indonesia, the fishing industry has traditionally been fraught with challenges. Fishermen relied on traditional knowledge to predict weather patterns and locate prime fishing grounds, leaving much of their catch and sales to chance. The increasing impact of climate change further complicated these predictions. Additionally, fishermen in remote villages were dependent on middlemen to sell their catch, store, and transport the fish to larger markets. This process often resulted in lower income for the fishermen. Furthermore, the fishing industry was largely paper-based, slowing down the flow of information and making it difficult to trace seafood from the fishermen to the consumer. Exporting fish abroad was a complex process due to the paperwork and logistics involved, which many fishermen did not understand. Lastly, only 25% of fishermen in rural villages used smartphones due to limited power supplies and low digital literacy, posing a significant challenge to digitizing the industry.
Case Study
ATB Financial: Reimagining Work and Enhancing Customer Experience with Google Workspace
ATB Financial, a crown corporation of the province of Alberta, operates in a highly competitive financial services space. To retain its competitive advantage, ATB launched a bold transformation initiative to reimagine the way banking products and services could be delivered. However, the company faced several challenges. Remote employees often experienced connectivity and performance issues with the corporate VPN, which limited their productivity. Legacy office tools did not foster innovation and often slowed business processes, delaying the company’s ability to deliver new services and respond to customer needs. The ATB banking operations team also struggled with workflows and lost files in public folders, a common issue with legacy office applications.
Case Study
Augmented Human Lab: Enhancing Science Education with Google Cloud
Augmented Human Lab, a research center at Auckland Bioengineering Institute, was faced with the challenge of inspiring curiosity for science in children, particularly those who lacked confidence in science subjects. The lab's founder, Suranga Nanayakkara, wanted to create a fun computer interface that could become an extension of a child's curiosity and imagination. This led to the birth of the Kiwrious project, which aimed to make science playful and exciting by using plug-in sensors that capture environmental phenomena. However, to spread the Kiwrious mission, especially in disadvantaged schools, Suranga needed powerful cloud solutions to free up his small team from mundane tasks such as server maintenance, enable unlimited scaling power, and protect the identity of pupils with world-class cloud security.
Case Study
Autofleet: Leveraging Google Cloud for Sustainable Fleet and Mobility Operations
Autofleet, a leading solution provider for fleet and mobility operators, was faced with the challenge of offering its customers a platform that was secure, reliable, and scalable. The company provides solutions for asset-heavy fleets and mobility operators to optimize their operations and launch new on-demand ride services. The comprehensive and modular nature of the company’s solutions meant that reliability, security, and performance were crucial to its operations. Failures and downtime could have a negative impact on their customers' core businesses. Furthermore, the company needed to be able to scale at will and with little notice. Whenever Autofleet signed a new client, the platform was immediately subjected to high volumes of extra traffic, which posed a significant challenge.
Case Study
Autonom8: Streamlining Customer Journeys and Reducing Operating Costs with Google Cloud
Autonom8, a US and India-based enterprise workflow management software business, aimed to help clients reduce costs and improve customer interactions through automation. The company provides a low-code SaaS platform that includes components like A8Studio, a chat platform, and an analytics module. However, the changing customer demands of enterprises, the rising cost of building software with experienced developers, and the need for customer journeys to evolve due to changing consumer habits and regulations posed challenges. Autonom8 initially deployed on a multinational cloud service, but the decision to opt for a microservices architecture that enables individual services to scale independently while running in a containerized environment demanded high-quality container orchestration. Furthermore, many of Autonom8's clients were financial institutions in India, legally required to retain data within the country's borders.
Case Study
Avanza: Enhancing Collaboration and Leveraging APIs with Google Cloud
Avanza, a leading business process outsourcing (BPO) provider in Spain, faced several challenges in its operations. The company, which offers a wide range of services from retail operations to human resources to call center support, had to maintain efficiency while dealing with the cyclical nature of the BPO sector and tight margins. With over 7,000 employees spread across six countries, Avanza struggled with collaboration and communication, largely due to its outdated email platform that led to siloed working and the burden of maintaining its own servers. Furthermore, Avanza wanted to incorporate machine learning and artificial intelligence into its business solutions, but its existing IT infrastructure was not equipped to handle these advanced technologies. The company was at a crossroads in 2016, deciding whether to continue with its current platform or explore new options.
Case Study
Avocados Don Goyo's Successful Migration to Google Cloud for Enhanced Operational Efficiency
Avocados Don Goyo, a leading exporter of fresh Hass avocado, was facing significant operational challenges due to its reliance on on-premises infrastructure. The company's servers were located in rural areas, making them vulnerable to inclement weather and recurring power outages. This resulted in stressful situations for employees who feared potential damage to equipment and subsequent data loss. The company's access to its SAP systems was heavily dependent on weather conditions, which hindered its ability to manage operations effectively and explore new business opportunities. As a company aiming for scalability and international expansion, Avocados Don Goyo realized that relying solely on on-premises infrastructure was no longer viable. They needed to transition to a more agile cloud technology that could provide full availability of its SAP systems, regardless of weather conditions.
Case Study
AVROTROS: Enhancing Audience Engagement and Operational Efficiency with Google Cloud
AVROTROS, a Dutch radio and television broadcaster, was facing challenges in engaging its audience through online media and mobile apps due to the limitations of its existing infrastructure. The broadcaster's infrastructure was not optimized for the scale that popular mobile apps work at, leading to outages and users being locked out of the app. This was a significant issue as AVROTROS aimed to foster a deeper connection with its audience by using every channel available. Additionally, AVROTROS had outsourced its back-end and was totally dependent on its suppliers, leading to stability issues and outages. The broadcaster needed a next-generation infrastructure to engage and retain its audience with next-generation apps and gain greater control and visibility into its infrastructure management.
Case Study
Ayoconnect: Leveraging IoT to Deliver API-Powered Financial Products
Ayoconnect, a SaaS company based in Southeast Asia, aimed to provide an open finance platform for developers to deliver a range of financial products to their customers. However, the company faced challenges in launching the platform on a cloud environment due to regulations requiring Indonesians' financial and transactional data to stay within the country. The domestic cloud service provider they initially used could not fully meet Ayoconnect's requirements, leading to performance and stability issues. Furthermore, the company needed to transition from a business-to-consumer model to a business-to-business model, which required standardization and visibility to solve issues created by multiple infrastructure types and API formats across financial services.
Case Study
Banlinea: Leveraging Google Cloud for Innovation in Colombian Financial E-transactions
Banlinea, a Colombian fintech company, was in search of robust technologies to leverage data for its digital transformation and online sale of financial products. The company aimed to change people's lives by helping them make better financial decisions. To achieve this, it needed to understand users' behaviors using digital tools. However, it was critical for Banlinea to have a robust infrastructure that provided the necessary security and certifications to assure its customers. The company also needed the ability to scale its products globally and required new data analysis tools to detect patterns from people's behaviors to develop products that meet their financial needs. Furthermore, Banlinea needed a technology that was not limited to a single type or brand, allowing for versatility, capacity, and scalability regardless of the increasing number of simultaneous customers. Business challenges included quick responsiveness in the development of its products, timely delivery of information, and a high level of security.
Case Study
Bareksa: Leveraging Google Kubernetes Engine for Rapid Growth and Enhanced Customer Satisfaction
Bareksa, an Indonesian fintech startup, was founded in 2013 with the mission to provide investment opportunities to the rapidly growing middle class in Indonesia. However, as the popularity of the platform grew, Bareksa found itself struggling to scale services during spikes in customer demand. This was a significant issue for a startup that relied on speed and 100% reliability to succeed. Additionally, its engineering team was spending a significant amount of time on DevOps tasks, such as provisioning servers and managing databases, leaving little time for creating innovative fintech solutions to grow the business. Bareksa was operating in a monolithic on-premise environment, with physical servers and a self-managed database, which was proving to be inefficient and time-consuming.
Case Study
BasisAI: Accelerating AI Adoption with Google Cloud
BasisAI, a company that helps enterprises accelerate AI adoption, faced several challenges in its mission to deploy responsible AI applications. The company needed to ensure that the AI systems it helped develop were free of biases, which could potentially lead to loss of consumer trust if certain groups of customers were favored over others due to AI system biases. The process of taking AI from code to production required a tight collaboration between data scientists and DevOps within an organization, which could be complex and time-consuming. Additionally, managing the infrastructure for machine learning operations (MLOps) was a significant burden, particularly in terms of resource allocation and dealing with traffic spikes. BasisAI also needed to ensure robust monitoring of AI models to prevent downtime and manage cloud consumption costs. Finally, ensuring data privacy and security was crucial, especially for customers in regulated industries.
Case Study
Bci: Transforming banking with Google Workspace
Banco de Crédito e Inversiones (Bci), one of Chile’s largest banks, faced the challenge of meeting the changing expectations of its employees and customers who were increasingly comfortable using internet-based tools and services. The traditional ways of banking did not resonate with the younger workforce, particularly the millennials, and the bank needed to evolve to meet their changing expectations. The bank also aimed to get closer to its increasingly digitally engaged customer base. To do this, Bci decided it needed a digital transformation that would bring interactions between employees and with customers closer to their more intuitive digital experiences with consumer apps. The bank also needed greater support for working off-site, including finding ways to replace in-person and telephone meetings with simple, reliable videoconferencing. Bci also hoped to move beyond email as the means for sharing and document collaboration.
Case Study
BE International's E-commerce Application Redevelopment for Cloud with Google Cloud and Matrix Connexion
BE International, a direct marketing company, faced significant challenges with its e-commerce application, BE4U. The application was initially built on a monolithic architecture, which began to show its limitations as the company's membership base and transaction volume increased. Three major events - flash sales, new product launches, and month-end transaction processing - would cause the application to shut down, leading to a chaotic situation where invoices had to be manually generated. This not only jeopardized the company's image and sales revenue but also led to numerous complaints from members. The company needed a solution that could handle high traffic without compromising performance, allow the in-house team to focus on development rather than infrastructure issues, and improve overall member and customer experiences.
Case Study
Leveraging Google App Engine for Humanitarian Project Monitoring
Bedatadriven, a company that leverages data and analysis to achieve their clients' goals, was facing challenges with their core project, ActivityInfo. ActivityInfo is a database platform for humanitarian relief operations and development assistance, used by over 75 organizations across Africa and Asia. The platform was initially developed for UNICEF’s emergency program in eastern Congo and is now used to track relief and development activities across more than 10,000 project sites. The challenge was to ensure that the system was highly available, given the challenging environments that ActivityInfo users work in and the nature of the crises. They also needed minimal system administration, allowing Bedatadriven to focus on product development. The platform also needed to scale up and down according to the load, with minimal human intervention. They also required clear monitoring tools to help pinpoint performance problems.
Case Study
Beryl: Leveraging IoT and Google Cloud for Sustainable Urban Mobility
Beryl, a leading micromobility company in the UK, was faced with the challenge of ensuring its bikes, e-bikes, e-cargo bikes, and e-scooters were available at the right places and times to meet customer demand. The company aimed to encourage people to switch to sustainable transport to reduce traffic congestion, carbon emissions, and improve mental and physical health. However, to achieve this, Beryl needed a reliable, glitch-free customer-facing app and fully functioning vehicles. The company also needed to manage and analyze the vast amount of data generated by docking stations, vehicles, users, logistics teams, and maintenance crews to continuously improve its service.
Case Study
BigChange Apps: Enhancing Mobile Workforce Productivity with IoT
BigChange, a company launched in 2013, has been instrumental in monitoring and managing over eight million jobs and tracking driving miles equivalent to over 100,000 trips to the moon. However, they identified a significant challenge in the industry. Many traditional companies requiring fleet and workforce management were wasting time, money, and fuel managing their mobile workforces due to reliance on outdated technology, manual reporting, or paper-based systems. BigChange aimed to build a system that would eliminate many of these antiquated processes, thereby improving efficiency and productivity.
Case Study
Birlasoft's Successful Migration to RISE with SAP on Google Cloud
Birlasoft, a global enterprise IT solutions leader based in India, was faced with the challenge of migrating its own SAP systems from on-premise to the new cloud-based RISE platform. This was a necessary step for Birlasoft to gain firsthand knowledge of the solutions it offers and provide best-in-class RISE transformation to its clients. The migration required selecting a public cloud hosting infrastructure that offered unlimited scale and agility to fully utilize the power of RISE. Birlasoft considered various providers before deciding on SAP on Google Cloud, a custom solution of Google Cloud to build, deploy, and manage SAP systems. The decision was influenced by Google Cloud's world-class compute capabilities, secure infrastructure, and intelligent cloud tools for machine learning and artificial intelligence transformation.
Case Study
BK Medical: Leveraging Google Cloud to Optimize Ultrasound Device Manufacturing
BK Medical, a manufacturer of ultrasound devices with operations in Denmark and the United States, faced a significant challenge when it decided to separate from its parent company. The company had been running SAP applications in-house with on-premises servers. The divestiture necessitated the separation of its data and systems, which presented an ideal opportunity to transition to cloud-based IT. However, the company needed to maintain its own data center while minimizing capital expenditure and reducing its on-premises footprint. The challenge was magnified due to the complexities of manufacturing and distributing medical devices globally, which included compliance, data and process management challenges, distribution, resource planning, and customer experience complexities.
Case Study
Blocksi: Leveraging IoT for Enhanced Classroom Management and Cybersecurity
The advent of education technology has revolutionized classrooms worldwide, providing a plethora of tools to enhance learning. However, this surge in educational tools also presents numerous challenges, such as identifying the most effective learning devices and equipping them with reliable management and monitoring tools. Blocksi, a company launched in 2011, initially provided internet filtering services through a Chrome-native app. The company soon realized that a significant number of families and schools were downloading its app, prompting it to tailor its tools for the education sector. The challenge was to expand its reach in education and power its business while ensuring the safe and compliant use of devices in schools.
Case Study
ETH Zurich: Deciphering life with the largest-ever DNA search engine
ETH Zurich's Biomedical Informatics (BMI) Group is working on creating the world's largest-ever DNA search index by processing 4 petabytes of sequencing data. The goal is to make the world's genetic code more accessible for medical and scientific research. However, the team faced significant challenges in terms of data accessibility and processing. Despite having access to a vast amount of information in the National Center for Biotechnology Information (NCBI) repository, existing methods did not allow for the most effective use of these datasets. The team's ambitions were curtailed by their other major obstacle: efficient accessibility. Before the switch to Google Cloud, the BMI Group had to limit its operations to smaller sequencing datasets of several terabytes in size, just to keep download and processing times manageable.
Case Study
Body & Fit: Enhancing Ecommerce with Crystalloids and Google Cloud
Body & Fit, a leading sports nutrition and dietary product business, was facing challenges with its existing ecommerce platform. The company, which processes almost two million orders a year and offers more than 3,000 items, was planning a strategy of rapid growth, aiming to double its presence from seven to twelve countries. However, scalability was a challenge on its existing ecommerce platform, and weak integration between components made it difficult to track customer journeys across touchpoints. The company needed a solution that could deliver excellent customer experience, potential for global expansion, continuous optimization, and personalized content. Furthermore, Body & Fit wanted to create a unified customer journey by combining data from multiple sources, including its ERP, ecommerce solution, event-stream processing, frontend interfaces, online marketing, customer service solution, and analytics.
Case Study
bofrost*: Leveraging IoT for Enhanced Sales and Customer Experience
bofrost*, a European market leader in direct distribution of frozen food, was looking to evolve its business model to keep up with the growing global market for frozen foods, projected to reach $282.50 billion by 2023. The company's IT infrastructure relied heavily on legacy systems, with two on-premises data centers in Germany and Italy. Information about products was provided to customers via a twice-yearly print catalog, and salespeople used a basic device to access details about orders to be delivered. However, they couldn't access multichannel order histories and other additional information. The company wanted to transform its IT infrastructure to enable new ways of meeting its customers' needs, including a new point of sale (POS) platform to streamline delivery schedules and provide personalized suggestions to facilitate upselling opportunities.
Case Study
Bonnier Publications: Leveraging IoT for Data Democratization and Business Transformation
Bonnier Publications, a Copenhagen-based media company, was facing the challenge of transitioning from a print to a digital multi-format business model in an ever-changing media environment. The global magazine industry was shrinking every year, and Bonnier knew that this digital transformation was critical for its survival and growth. The company set a six-month deadline to achieve this goal, with the challenge being a complete overhaul of its customer data and the way it engaged with customers online to maximize ecommerce conversion rates. The initial target was to gain 25,000 new subscriptions. Bonnier's success largely depended on its reader base, with B2C business accounting for 75% of its revenue. Therefore, it was crucial for the company to understand its readers and their preferences.
Case Study
Book Creator: Transforming Education through Digital Book Creation
Book Creator, a self-publishing tool, aimed to shift its focus towards serving the K-12 market and enhance student engagement by unlocking their creativity. The company wanted to provide a platform where students and teachers could collaboratively create and publish ebooks and learning materials. However, with a small team of 13, they faced the challenge of reaching millions of students and handling high-variability workloads. Additionally, they needed to comply with strict data access management requirements including GDPR in the European Union and FERPA/COPPA in the U.S. The company also wanted to rapidly develop new features while reducing the complexities of storing data and scaling access to it.
Case Study
Botmaker: Revolutionizing Customer Service with AI and Google Cloud
Botmaker, an AI platform that creates and administers voice and text enabled bots, aimed to provide exceptional customer service across various channels. The challenge was to automate conversations between brands and people using AI, requiring an infrastructure capable of processing millions of messages, understanding them, and providing accurate responses in real time, 24/7/365. This was crucial to maintain the brand's goodwill with its customers, making data processing speed and scalability a significant technical challenge. Additionally, Botmaker had to meet strict safety requirements imposed by various customers, including large banks and international insurance companies.
Case Study
Boxed: Leveraging IoT to Enhance Wholesale CPG Experience Amid Rapid Growth
Boxed, a leading digital wholesaler, was founded in 2013 with the aim of making bulk shopping easy, convenient, and accessible for consumers. As the COVID-19 pandemic hit the U.S., Boxed experienced a significant increase in traffic and demand on its platform. The shift towards online grocery shopping, which had been gradual, suddenly accelerated, and Boxed needed to scale up its infrastructure and data processing to keep up with the flood of orders that nearly doubled during the pandemic. With the large increase in concurrent users on the site, Boxed’s database was hit with thousands of read/write operations per second, specifically for operations like creating new user accounts, adding/removing items to cart, and checking out. These actions required writes to its database, and Boxed had to scale up the resources available to its database to handle this increase in operations per second.
Case Study
Brainly: Revolutionizing Education with Vision AI
Brainly, a Kraków-based technology company, provides an online learning platform where students can ask questions and get answers instantly. The platform is used by over 350 million students and parents across 35 countries. However, Brainly faced a challenge in making its platform more accessible and user-friendly for mobile users. Traditional typed queries on smartphones were cumbersome and less efficient. Furthermore, Brainly needed to ensure that its solutions were multilingual, given its global user base. The company also faced the challenge of maintaining stable service during peak usage times, especially during the COVID-19 pandemic when the platform gained tens of millions of new users.
Case Study
Breuninger: Leveraging Google Cloud for Enhanced Customer Experience
Breuninger, a luxury department store in Germany, was facing a challenge with its complex IT landscape. The company was fragmented into many departments, each with their own technology stack focusing on their own use cases. They had on-premises databases and other systems such as SAP, all gathering different types of data for different business units. This dispersed IT landscape made it difficult for the company to make the most of its data. Furthermore, the company's online storefront, which brought in a significant 30% of sales in 2018, presented exciting opportunities with data. However, to optimize the website and make the online customer experience smoother and more tailored to individual shoppers, Breuninger needed to get its data on track.
Case Study
Americanas Sa's Transformation to an Analytics-Driven Culture with Google Cloud
Americanas sa, a Brazilian retail giant, faced a significant challenge in delivering the best customer experience across its 1,700+ physical stores and ecommerce platforms. The company, which emerged from the merger of Lojas Americanas and B2W Digital, had a diverse audience spread across Brazil, with over 90 million registered customers and 46 million unique users. Data analytics was crucial to understanding and improving the shopping journey of this diverse audience. However, the company's data environment, initially hosted on physical servers, was unable to keep pace with its expansion rate. The infrastructure lacked the maintainability and scalability needed to manage the growing data volume. The business required more efficiency to test hypotheses, validate concepts, and assist in decision-making processes. In 2017, the company decided to migrate its data environment to the cloud to improve scalability, governance, security, and speed.
Case Study
Harver employs data to transform the modern hiring experience
Harver, a pre-employment assessment software company, was facing the challenge of scaling to meet the demands of its growing enterprise customers. Initially, the company relied on labor-intensive statistical analysis in R or Excel to surface hiring metrics to their customers. However, as Harver continued to grow and add more enterprise customers, it had to automate and scale processes in order to provide their growing customer base the insights and customization they expected. The company needed an analytics solution that could also support its multi-tiered product offering, integrate with other tools such as Zendesk, and support multi-tenancy. In addition to the technical functionality, it was also critical that an embedded solution could appear seamless and natural within the impeccably designed Harver platform.
Case Study
Simply Business Simplifies & transforms insurance experiences with data
Before implementing Looker in 2014, Simply Business did not have a centralized data platform or process, which resulted in challenges bringing siloed information together and accessing consistent metrics. Without a single source of truth, many decision-makers across the organization spent their time manually creating their own reports. However, many of these reports and metrics didn’t match up, which led to confusion and mistrust of data, and ultimately delayed decisions and action. The insurance brokerage needed a single source of truth to unify data across its multiple applications. Additionally, since insurance is a highly-regulated industry, it was critical that information be consistent, auditable, and secure.
Case Study
Becoming a Data-Driven Company With Looker
Raisin, a successful Fintech start-up in Germany, was facing challenges with data management. Much of the company's data was stored in Excel spreadsheets, making it difficult to access and utilize effectively. The rapid growth of the company and management’s vision of a strong data culture necessitated a streamlined approach to data handling. The company's vision was to make data accessible to every employee, enabling them to make as many decisions as possible with data support. However, they lacked the necessary infrastructure to achieve this. They needed a self-service platform that would provide a unified view of all data sources and allow each employee to obtain easy access to the relevant insights.
Case Study
Waterscan Leverages the Power of Data to Save Water and Money for Customers
Waterscan, a leading provider of commercial water management services in the United Kingdom, was facing challenges with its existing business intelligence system. The company was heavily reliant on Excel for its operations, which was proving to be an inhibiting factor for growth. The lack of a business intelligence tool or data model meant that Waterscan teams were constantly uploading and downloading Excel documents to and from their Waterline product to do their jobs. The static nature of Excel reports made it difficult and time-consuming to update numbers with the data from Waterline. Development of new reports or amendments to existing reports used to take up to 4 weeks due to development sprint cycles and release dates. Each new report or amendment would cost Waterscan more than $2,400. Waterscan needed a modern data solution that would save their team time and money in development resources, provide customers with up-to-the-minute insights, and scale as their customer base and demand for data grew.
Case Study
Dollar Shave Club Gets an Edge With Looker
In early 2014, Dollar Shave Club, a small e-commerce business, was struggling to make use of the vast amount of data they were collecting. They were up against established retail giants in the men's grooming products industry and needed to leverage their data to gain a competitive edge. However, they were facing a bottleneck problem where only a few people could access the data, and everyone else had to wait to get their questions answered. This was causing delays and inefficiencies in their operations. For instance, any reports they needed would have to go through a developer named Juan, which was a time-consuming process. They were also using traditional BI tools, which were not able to fully utilize their data.
