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ONCALL Language Services
Data Analytics & Reporting Development.
Background
ONCALL, a global language services leader, has facilitated effective communication for culturally and linguistically diverse communities since 1984.
Recognizing the need to stay ahead in language technology, ONCALL established an in-house Technology and Innovation department in 2016. This move aimed to streamline interpreter booking processes and expand access to a broader range of languages and dialects.
The challenge
The primary challenge was to enhance ONCALL's data analytics and reporting capabilities to support decision-making and improve service delivery.
The company required innovative solutions to interpret complex data sets and present them in a user-friendly manner. This task was entrusted to an intern within the Technology and Innovation department, who was expected to bring a mix of creativity, technical skills, and a keen eye for detail to the role.
The solution
The intern undertook several key initiatives:
- Designing User-Friendly Reports and Dashboards: Utilizing Power BI, the intern developed visually engaging and informative reports and dashboards. These tools helped simplify complex data, making it more accessible for decision-makers.
- Developing Self-Service Data Analytics: The intern contributed to building a self-service data analytics platform. This empowered users to access and analyze data independently, fostering a data-driven culture within the organization.
- Establishing Data Visualization Standards: The intern played a crucial role in creating data visualization standards. This ensured consistency and quality across all data visualizations produced by the team.
The results
The intern's contributions led to several significant outcomes:
- Improved Decision-Making: The new reporting tools provided deeper insights into operational data, aiding in more informed decision-making processes.
- Enhanced User Engagement: The user-friendly dashboards and reports increased engagement with data across the organization, leading to a better understanding of service impact and client needs.
- Increased Self-Service Analytics: The development of the self-service platform enabled staff to engage directly with data, reducing reliance on the IT department and speeding up the data analysis process.
- Standardized Data Visualizations: The establishment of visualization standards improved the overall quality of data presentations, making them more effective and consistent.
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