Visualization
Sea Cliff Consulting offers visualization services that empower executives and leaders to quickly make decisions without having to wade through the mire of underlying data and analysis. Sea Cliff uses its years of experience to partner with clients, enabling them build self-service analytics tools that offer users the insight they need to be successful in an easy to digest way. Sea Cliff’s experience has proven invaluable in helping clients choose the right visualization tool based on their needs and data infrastructure, allowing teams to quickly develop visualization tools that present data in a way that drives the business forward.
Data Visualization Overview
Large or complex data sets can be difficult to visualize in a way that allows users to draw meaningful insight. With data visualization is can be easy to overstimulate users with too much data at once or create tools and processes that are hard to update or maintain. Sea Cliff can help to navigate these challenges when designing both the visualization and the supporting processes.
The ideal visualization quickly allows users to understand the current state, and highlights potential pitfalls. It should measure both leading and lagging indicators. Over-reliance on graphics is a two-edged sword, and visualizations should allow for diving easily into the data behind the graphic.
Sea Cliff works directly with key stakeholders and business users to design a visualization that allows them to easily identify opportunities within the data set. There is no one-size-fits-all data visualization and Sea Cliff’s extensive experience with a plethora of data sets means that it can suggest several visualization options to achieve the desired results.
What We Offer
Work directly with key stakeholders and business users to design and implement data visualization tools.
Help clients to navigate the plethora of data visualization tools to chose one that best fits their business needs and IT requirements.
Design visualizations that use both leading (Predictive) and lagging (Key Performance Indicators (KPI)) indicators.
Develop sound data engineering processes to support the visualization in a way that won’t create an unnecessary burden on teams.