A leading international sales and marketing company, specializing in direct marketing strategies and call center solutions, faced significant challenges in managing and visualizing its data. Operating across both the consumer and B2B segments, the company relied heavily on real-time insights to optimize performance, monitor agent efficiency, and refine marketing strategies.
Consulting
The client relied on multiple tabular reports for data analysis, but the process was tedious, time-consuming, and prone to errors. They needed fast, accurate, and visually intuitive data to empower their agents, supervisors, and campaign owners with real-time insights.
Workforce management was another critical challenge. The team manually tracked agent pay hours, lunch breaks, and other key data points, leading to inconsistencies and inaccuracies. Without a comprehensive, 360-degree view of their reports, decision-making was often delayed, and operational inefficiencies persisted.
These challenges significantly impacted the CIO, who struggled with fragmented data and inefficient reporting systems that hindered strategic decision-making. The client sought a solution that would provide accurate, well-visualized reports on agent performance and supervisors’ sales call data, ultimately improving workforce management and overall efficiency.
Datamatics conducted a thorough analysis of the client’s data challenges and designed a strategic action plan with a strong emphasis on data security and integrity.
To address inefficiencies and improve decision-making, Datamatics implemented TruBI an advanced business intelligence solution that transformed the client’s reporting landscape. Reports were made dynamic and accessible in real time, enabling multiple departments to gain instant insights. Key reports such as pay hours-by-day, shared agent, and schedule adherence were automated, ensuring accuracy and efficiency.
With this transformation, the client’s teams could now rely on seamless data visualization, empowering agents, supervisors, and leadership to make faster, data-driven decisions.
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