This case study explores how a major US media company overcame challenges related to data integration, visibility, and product ownership. Struggling with numerous different data sources and a lack of visibility into data lineage, the client also faced a gap in product ownership that led to efficiency challenges. By implementing a two-pronged approach focusing on daily integration of sources and data, as well as the long-term health of the product, the client saw a 60% increase in product adoption. This new approach improved user transparency, increased internal satisfaction with product build efficiency, enhanced knowledge of customer behavior, and improved trust in data. The result was a more robust and widely adopted product, demonstrating the power of an organized and process-driven approach.
Our client was struggling with the integration of data from a multitude of sources, which was crucial for marketing, analytics, and other essential business operations. They were confronted with a lack of clarity regarding data lineage, encompassing data's origin and its evolution over time, coupled with apprehensions about compliance with data privacy regulations. A void in product ownership further complicated matters, leading to efficiency issues, particularly around enhancing the product with clean, structured data, incorporating additional sources, and transitioning away from legacy tools. The client was also caught in a bind due to the absence of a prioritized plan and documentation for a crucial analytics datamart solution, and the lack of in-house expertise to rectify this situation.
We tackled these challenges by stepping in to fill the product ownership void for our client with a dual-pronged strategy.
For the day-to-day operations, our focus was on the continual integration of sources and data. This involved generating and prioritizing JIRA epics and stories, constructing essential documentation like data dictionaries, source-to-target documents, and product releases. We also took charge of table creation and integration, development, testing, and code reviews.
For the future build, our attention was on the long-term sustainability of the product. We developed a plan for incorporating additional models and integrating further data sources with other mesh products. We expanded our documentation efforts to include roadmaps, new source discovery findings, Entity Relationship Diagrams (ERDs), etc. Additionally, we undertook the task of cleansing and standardizing internal data elements, subsequently aggregating them for additional use.
Our strategic approach yielded significant results. We saw a 60% surge in adoption rates, attributable to the enhanced user transparency and comprehension of the product. Internal user satisfaction experienced a boost due to the improved efficiency of product build, superior data governance, and well-documented processes.
There was a marked enhancement in our understanding of customer/viewer behavior, which bolstered our ability to construct behavioral and preference models. By standardizing and cleansing data attributes, we fostered greater trust in the data and its downstream applications, such as audience and model creation.
We successfully integrated and unearthed new sources, thereby expanding the scope of the data. This, in turn, heightened adoptability and usage, further proving the effectiveness of our intervention.
Intrigued by the accomplishments highlighted in this case study? Do you see parallels with your own organization's challenges? At Blend, we are experts in delivering clear, concise and engaging solutions that meet your unique business needs. We're eager to apply our strategic thinking and domain expertise to help transform your business operations, just as we did for our esteemed client. Reach out to us today – let's collaborate to drive impactful business results and craft your own success story. Contact us today.