Charles Elliott

User-Focused | Results-Driven

Charles Elliott

User-Focused | Results-Driven

MarketWatch Overview

MarketWatch by Highland Ag Solutions harnesses the power of data analytics to empower businesses in the fresh produce industry to make informed, data-driven decisions. It optimizes operations and enables companies to seize opportunities in a rapidly evolving market. By revolutionizing how agricultural businesses approach market analysis, MarketWatch helps them maintain a competitive edge in a dynamic industry. On the technical side, the platform is built using AngularJS and Microsoft Power BI.

A New Login with 2FA

Given the sensitivity of the data shared with users, it was essential for the new release to incorporate multiple safety measures, including two-factor authentication.

The architecture is built around four key principles: Privacy, Anonymity, Security, and Transparency.

The system includes hundreds of data integrity flags to prevent errors from affecting the aggregated market visualizations. Additionally, MarketWatch necessitates a separate administrative app and a dedicated team of data analysts to standardize new data attributes and promptly address any disruptive transactions.

A sampling from the 62 pages of wireframes to account for every action in the log in process alone.

Hard Work Rewarded

AgTech Breakthrough, a leading market intelligence organization that highlights the top companies, technologies, and products in the global agricultural and food technology sectors, recognized Highland Ag in its annual AgTech Breakthrough Awards program.

Our goal was to transform the global fresh produce industry by providing valuable insights that enable businesses to make smarter decisions. By leveraging the platform’s unique capabilities, companies can enhance their competitive advantage, make data-driven choices, and accelerate growth in a fast-paced and ever-changing market.

Dashboard Upgrades

The dashboard shown here is the result of extensive user research, including interviews with various user types across supporting organizations. We employed card sorting, user-role personas, and unmoderated prototypes to establish the data hierarchy and optimize task flows.