![]() To facilitate the development of its personalized products, PVR built a customer data platform on a third-party digital marketing platform in February 2021.Alex Green, Director of TV at BT Retail, has identified network PVR as a key roadblock to platform operators who want to minimize their reliance on STBs and deliver services through connected TV device apps in their place. Reducing data query time for personalized product development Since we can receive the latest data across all our cinema stores almost in real time, we are able to make decisions related to movie performance, product (food) sales, stock, and inventory more promptly and effectively,” explains Melarkode. “The way our data is aggregated has been greatly optimized after we started using Google Cloud. Now it only needs five personnel to manage the automated data pipelines, aggregation and reconciliation of numbers, reporting and data visualization, which has freed up the team to conduct more in-depth data analysis to deliver business insights needed to more personalized cinema services and products. ![]() Previously, the company had around 10 employees monitoring data transfer and data accuracy. The new way of processing data also enables PVR to keep its data management team nimble. With the new data pipeline, all data is synchronized every few minutes. Before the adoption of Google Cloud, the PVR team could only gather its data in one place at the end of every business day. The data warehouse also streams information from PVR’s other on-premises and cloud systems such as customer service platforms, devices, digital apps, and loyalty management systems. PVR now runs a data warehouse on BigQuery that ingests streaming transaction data from edge devices like PoS machines, ticket QR code scanners and payment devices across all its 174 cinemas through Pub/Sub. Google Cloud ticks all the boxes.”Ī centralized data warehouse that supports swift synchronization “We need powerful data storage and analytics tools that can scale easily and enhance our data processing efficiency while keeping the costs as low as possible. “Data is very important for our business development because we want to create highly personalized products,” says Ranjith Melarkode, Chief Information Officer at PVR. ![]() After comparing different public cloud offerings, it adopted Google Cloud in late 2020 for its streamlined data pipeline design, scalability, and high cost efficiency for data storage and analytics. ![]() To build a data pipeline that supports higher data analytics efficiency and scalability, PVR decided to set up a centralized data warehouse. At the same time, as people in India increasingly pick up digital habits since the onset of COVID-19, the amount of data that PVR collects from its apps started to grow exponentially, posing a huge challenge on the scaling capability of its on-premises data centers. Back then, the company had an on-premises data center in each of its cinema stores and used a manual approach to aggregate all the data for analytics, which took just a few days to generate insights. Save money with our transparent approach to pricingĭuring the lockdown period of COVID-19 in 2020, the PVR team realized that it had to create more personalized cinema experiences by leveraging the power of data to attract cinema-goers and continue its business expansion once cinemas reopened. ![]() Rapid Assessment & Migration Program (RAMP) Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry ![]()
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