Technology Category
- Analytics & Modeling - Machine Learning
- Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Industries
- Cement
- Construction & Infrastructure
Applicable Functions
- Quality Assurance
- Sales & Marketing
Use Cases
- Construction Management
- Infrastructure Inspection
Services
- Cloud Planning, Design & Implementation Services
- Testing & Certification
About The Customer
BMG is a global music company based in Berlin, Germany. It operates in the traditionally separate music publishing and recordings markets off the same integrated platform. The company works with both emerging artists and established stars, including John Legend, Kylie Minogue, Mick Jagger, and Keith Richards. BMG provides customized, transparent, and fair services to songwriters and artists, helping them navigate the complex royalties landscape and maximize their profits. The company uses data to maximize the impact and revenue of new records for its creators. With the MyBMG web and mobile application, clients can view and analyze their royalty details in real time and collect payment.
The Challenge
The music industry has undergone a significant shift from physical sales to digital streaming, which now accounts for more than half of all sales globally. This shift has made the process of paying artists more fragmented and complex. Artists are paid a small royalty for each song downloaded or streamed, which means that the volume of data that needs to be processed has grown exponentially. BMG, a Berlin-based international music company, found itself needing to process 1,500 times the amount of data to calculate payments for artists. Until 2019, BMG’s infrastructure was entirely hosted on-premises. The hardware limitations made it challenging to scale on-demand, making it harder to handle the data peaks that royalty processing can bring. The company was facing a ceiling in a few years, and processing royalty payments was becoming increasingly time-consuming and expensive.
The Solution
To address these challenges, BMG decided to migrate its entire managed data center infrastructure to Google Cloud. The company partnered with Rackspace Technology to move applications to the cloud while keeping payment cycles on track for its artists. BMG’s technology team outlined the Google Cloud architecture, which was then optimized by Rackspace Technology. The company migrated 17 applications successfully and is using solutions like Cloud Storage to securely store 130 TB of data, and Cloud SQL as its standard database technology. The web applications run on Compute Engine, App Engine, and Google Kubernetes Engine. BMG’s royalty calculations, which require significant processing power, run entirely on Dataproc with output stored on BigQuery for downstream integration and reporting. By integrating Data Catalog with BigQuery, BMG has made the data more accessible to all teams, enabling them to detect missing income and new revenue streams independently.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Case Study
Splunk Partnership Ties Together Big Data & IoT Services
Splunk was faced with the need to meet emerging customer demands for interfacing IoT projects to its suite of services. The company required an IoT partner that would be able to easily and quickly integrate with its Splunk Enterprise platform, rather than allocating development resources and time to building out an IoT interface and application platform.
Case Study
Bridge monitoring in Hamburg Port
Kattwyk Bridge is used for both rail and road transport, and it has played an important role in the Port of Hamburg since 1973. However, the increasing pressure from traffic requires a monitoring solution. The goal of the project is to assess in real-time the bridge's status and dynamic responses to traffic and lift processes.
Case Study
Bellas Landscaping
Leading landscaping firm serving central Illinois streamlines operations with Samsara’s real-time fleet tracking solution: • 30+ vehicle fleet includes International Terrastar dump trucks and flatbeds, medium- and light-duty pickups from Ford and Chevrolet. Winter fleet includes of snow plows and salters.