Case Study: Woodberry achieves faster, data-driven decision-making with Phocas

How data autonomy transforms company culture

Woodberry, a UK outdoor furniture business, was struggling to stay agile in a highly seasonal and competitive market, especially as rising living and energy costs caused customers to tighten spending. Before Phocas, data insights were created mainly by the CFO using Sage 50 and complex Excel reports, which were time-consuming, static, and difficult for other teams to access or use for quick decision-making.

Phocas implemented BI Analytics, giving Woodberry self-service dashboards, live data wallboards, and the ability to drill into sales, stock, and customer behavior data. The result was faster, more autonomous decision-making across teams, better targeting of sales efforts, improved campaign testing, and more accurate stock forecasting; Woodberry also reported being able to identify strong-performing sectors, shift sales focus, and monitor product performance against budget with high accuracy.

Woodberry

Tim Barr

Chief Financial Officer