KLH Case Study – How to optimize playlist & scheduling decisions for linear TV channel in a non-linear enviornment
KAN The Israeli Public Broadcasting Corporation (IPBC) operates 3 different linear TV channels and 9 different radio station, each has its own team of programmers, producers and managers, however, all of them needs to access the same archive, use the same graphic services, coordinate with the same promo department and Ads agencies, and top management needs data to see the overall picture and steer the boat in the right direction,
Data is becoming the most important asset for media factories and driving the deployment of technologies that are enabled by or enable it. As companies move to direct platforms, the importance of consumer data in powering decision-making is growing. It’s not just about the consumer though, data is also important for the operations. This data is a goldmine and media companies want to leverage it in different parts of their content chains to drive automation, business analytics and business rules that deploy virtual machines depending on demand.
That data is very difficult to get right as media companies’ legacy architectures had allocated it in different silos within the organization.