The vast volume of data that is generated per second from a multitude of sources and platforms requires a sophisticated methodology and strategy to take advantage of it. This data can be harvested to help companies of all sizes in organizing marketing campaigns, minimizing costs, targeting content and even finding new revenue sources in real-time. However, the struggle is knowing how and when to utilize the data that you are collecting and how to operate in more efficient ways and make well-informed business decisions.
Data Modeling Techniques and Best Practices for Digital Marketing Success
In order to maximize your data and analytics, you must look at a few main components: data strategy and utilization, data modeling, data visualization and data management.
Whatever space you compete in, a robust data strategy is a key part of your overall business strategy and essential to success. A well thought out and executed data strategy can provide a better understanding of your customer, expand your customer base, improve loyalty, lower infrastructure costs and increase profitability.
Data modeling can provide deep insight into customer profiles and behaviors, generating new selling opportunities and helping to gauge the effectiveness of marketing programs. Data modeling provides a framework to evaluate marketing and business activities and helps inform the overall strategy.
Data visualization uses graphic elements to demonstrate trends, outliers and patterns in data. Data visualization tools play a key role in analysis and reporting, and enables more informed decision-making. We partner with platforms such as Tableau, Tapclicks, Microsoft Power BI and Dataroma to build web-based reporting solutions that provide a real-time view of what is going on in your business.