

Data visualization is essential to delivering effective data and analytics insights. It combines art and analysis to bring trends, correlations, outliers, and KPI performance to life for analysts and executives alike. Analytics and reporting without data visualization can create unnecessary friction to identify key insights and communicate those insights efficiently to others. Alternately, effective data visualization can inspire, persuade, influence, and affect change.
Merkle’s data visualization team has extensive visual analytics and marketing measurement experience. We specialize in bringing insights to life and creating environments that enable data stories to emerge. The data visualization team specializes in dashboard design, data preparation, data storytelling, and measurement strategy. From visualizing creative performance to analyzing customer journeys, we ensure the insights we generate drive value for our clients.
We leverage our marketing expertise in tandem with our data visualization expertise to deliver effective dashboards with the right KPIs for your business. Whether you are looking to visualize your customers’ journey, attribution results, media performance, or a customer database, our iterative approach to development ensures the dashboard interface and user experience are customized to fit your needs.
We have a dedicated development team that works exclusively on business intelligence tool deployments for many of the best-in-class toolsets available today including Tableau and Power BI. We have more than 10 years of BI experience and support more than 5,000 client BI users.
Merkle insights platform provides embedded access to Tableau dashboards and powered by natural language generation and collaborative statistical modeling. We can stand up a fully functional, powerful dashboard implementation within weeks with our reusable templates, methodologies, and frameworks.
Learn more about Merkle's Analytics Insights Platform
We help you identify key areas of measurement that truly impact your business, define the KPIs that need to be measured, identify the data and analysis required, and make a comprehensive measurement plan to put the strategy into action. Stats/Credentials/Results: