Our client, a prominent entertainment company, offers a unique blend of streaming and on- demand content, integrating material from cable, satellite, and streaming platforms. They work with several vendors to receive content metadata. The main objective of this project was to evaluate the vendor metadata provided for various programs against predefined benchmarks to assess its accuracy and reliability.
The challenges mainly stemmed from gaps in the metadata provided by the vendors which, in turn, could negatively impact the end-user experience and highlighted the need for robust data quality management practices to ensure consistency across platforms.
The client had a complex agreement with their vendors, which outlined multiple service agreement levels, with a station assigned to each level along with corresponding metadata Benchmarks. The primary challenge faced by the client was in evaluating the metadata provided by the vendors in accordance with the benchmarks defined by the agreement.
The client had an initial logic in place to check the presence of content metadata for various programs, but the checks were not customized for different program types. This caused a gap between the anticipated and actual results.
The client faced challenges in measuring metadata completeness at the program level, as the agreement was structured at the metadata level. They were also uncertain about the levels at which to monitor metadata coverage and how to align this with the existing agreement.
The existing Tableau reports faced low user adoption due to ineffective content and uninspiring visualizations. The reports primarily covered basic metrics without delivering meaningful, actionable insights. Additionally, the lack of design expertise resulted in cluttered and non- intuitive dashboards, making it challenging for end users to quickly interpret and act on the data.
To address the challenges, NeenOpal leveraged its expertise in Tableau and data engineering to optimize the client's data structure and reporting.This enabled efficient tracking of vendor metadata, ensuring high-quality content for end users.
To effectively implement the client’s agreement with their vendor, we transformed the agreement into a structured table on their server. Additionally, we created a separate table with logical checks to validate the presence of media metadata for each program – an approach aligned with principles of master data management (MDM) to ensure standardized and accurate metadata tracking.. Finally, we designed an optimized data structure that streamlined Tableau development while ensuring a simplified and efficient data model.
To resolve this issue, we conducted extensive data analysis to understand variations across different program types. Based on these insights, we established a set of rules to accurately classify program types, ensuring there were no logical gaps. This allowed for precise mapping with the agreement table, improving the accuracy and consistency of content metadata checks.
To address this, we defined dynamic metrics that allowed users to customize metadata inclusion and track completeness at program level. At the metadata level, we classified values as "preceding the benchmark" if they fell below the threshold in any service agreement level, and "exceeding the benchmark" if they met or surpassed it across all levels. These enhancements made it easier to identify metadata problems in media and entertainment. Moreover, these metrics not only supported better analysis but also strengthened data quality management by clearly defining metadata benchmarks and tracking deviations effectively.
To improve user adoption, we first gained a deep understanding of the business requirements from the client’s stakeholders' perspective while keeping the end goal in focus—delivering insights that highlight the factors hindering the end-user experience. Additionally, with the help of NeenOpal’s expert designers we were able to deliver visually appealing and user-friendly reports. This ensured that the dashboards were not only insightful but also engaging and easy to navigate, enhancing their overall effectiveness.
NeenOpal brings deep expertise in Tableau and data engineering, transforming complex data challenges into actionable insights. Our solutions streamline vendor accountability, enhance content delivery, and optimize reporting for scalability. With a user-focused approach, we ensure intuitive, high-impact dashboards that drive better decision-making and improved business outcomes.
A Business Intelligence (BI) roadmap is a plan that guides how to set up and use data analytics tools and processes to gain valuable insights and make informed decisions. It helps organizations build a clear path for integrating data solutions that support long-term growth and success. By aligning technology with business goals, it fosters efficient data management and drives continuous improvement. Learn more.
These reports streamlined the client’s process for identifying gaps in the metadata provided and offered a comprehensive summary of all the programs delivered by their vendor. As a result, the client was able to keep their vendor accountable, enhance their content, and deliver a higher- quality service to their end users.
NeenOpal assisted a leading entertainment company in tracking metadata coverage across various programs, ensuring both an optimal user experience and vendor compliance. Our efforts made it significantly easier to identify gaps in the provided metadata, leading to an improvement in the vendor's coverage percentage. This enhancement led to an increase in content discoverability, improving user engagement and satisfaction. Additionally, the improved metadata coverage contributed to an increase in revenue by enabling more precise content recommendations and targeted advertising. This effort also laid the foundation for stronger master data management (MDM), ensuring long-term consistency and scalability in handling media metadata.
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