Transforming Viewer Experience with IoT: A Case Study of ITV
Technology Category
- Analytics & Modeling - Machine Learning
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Buildings
- Equipment & Machinery
Applicable Functions
- Quality Assurance
- Sales & Marketing
Use Cases
- Leasing Finance Automation
- Mesh Networks
Services
- Data Science Services
About The Customer
ITV is a British public broadcast television network that has been in operation since 1955. It offers a range of programming through its platform, both live and recorded, and produces, commissions and sells television content. The company’s goal is to be a digitally led media and entertainment broadcaster that provides high-quality content to audiences on their terms. With nearly 40 million viewers, ITV generates vast amounts of content data each day. In addition to its role as a broadcast television network, ITV is also an advertising-driven business. Therefore, the company wanted to use data to ensure that advertisers were targeting the most appropriate audiences.
The Challenge
Over the past decade, the broadcast television industry has undergone significant changes, largely due to the rise of streaming services. These changes have led to shifting viewer expectations, with people now expecting to be able to access a wide range of high-quality programming at any time and on any device. ITV, a British public broadcast television network, faced the challenge of meeting these changing expectations while also managing vast amounts of content data generated by nearly 40 million viewers. The company formerly relied on multiple legacy data platforms, which resulted in data fragmentation. Its data team was similarly fragmented across marketing, commercial advertising and product experience with its own technology stack. When the company launched its new digital strategy, it became clear it would need to modernize its platform and undergo a massive digital transformation with data at the core. ITV sought a platform that would allow it to consolidate its data sources and use analytics, machine learning, rule-based algorithms, and other tools to understand viewer expectations and behavior and improve the user experience.
The Solution
To meet these goals, ITV consolidated on AWS and chose the Databricks Lakehouse Platform as its data platform. ITV used the Databricks Lakehouse Platform to power a data mesh framework to connect its three disparate domains — marketing, commercial advertising and product experience. Each domain includes a cross-functional team of data scientists, engineers and analysts who create various data products. Each team handles data ingestion differently, depending on the type of data they ingest and where it originates. The lakehouse efficiently manages the scale of data ITV generates from both streaming and batch data sources for analytics and machine learning purposes. To create its data mesh, ITV relied on open source Delta Lake for its storage layer and Unity Catalog for its centralized governance layer. Unity Catalog has helped ITV to create a self-service platform for its data users and made it easier for ITV to meet its compliance requirements.
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
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
