Companies that offer talent management and recruiting services know that their success depends on their ability to attract, hire, engage, and retain a talented workforce. They must deliver data-driven insights to help clients achieve high performance levels through an engaged and productive workforce.
There are a variety of technology solutions available today to help address these goals, but the solutions consist of data silos and a mix of structured and unstructured data. Example: A talent company may be using structured data from Workday and Siebel, while receiving unstructured text data in the form of user surveys, emails, and transcriptions of phone calls to customer service. A key objective is to make better business decisions by integrating contextual insight from all the data. (See related blog post: Improve Your Company with HR Analytics.) A visual analytics platform can speed up this process.
Analytics Challenges for Talent Companies
• Integrating Structured and Unstructured Data
• Identifying substantial ROI improvement opportunities
• Understanding the marginal effect of case creation and/or repeat calling has on Customer Satisfaction
• Discovering meaningful relationships between issue resolution, effort, and Customer Satisfaction
The Stratifyd SignalsTM platform is built to handle all types of data, using machine learning to determine the common themes, issues, and trends. The user dashboard is an interactive, visual analytics display allowing analysts to drill down into the data for useful insights. This enables the analyst to turn the data into insights, and the insights into action. The ability to turn disparate data silos into actionable insights is a core strength of the platform, and a good fit for the challenges the talent companies are experiencing. (See related blog post: Bringing Data Silos Together.)
Talent companies can analyze their unstructured textual data, such as transcribed calls into Customer Service, by pivoting around structured fields such as age, tenure, Agent ID, income, education, or any other set field. This enables the analyst to examine customer satisfaction by segment, examining trends and themes by group, and diving into the user feedback. The resulting visualizations will not only explain relationships but also be compelling to leaders and decision-makers. The analysis dashboards would be drill-down representations of the data that further clarifies the problem and spurs further action.
A key feature for an analytics platform is the ability for analysts to collaborate, sharing ideas and insights on the data. (See related blog post: Collaborative Data Analytics.) When examining Customer Satisfaction it is good practice to share analysis and insights with Customer Service management and with the business unit executives. The analytics group cannot dictate actions, but it can convince others with data. Rather than demanding or forcing managers to accept the results, analytics can serve as internal consultants, influencing others by sharing powerful data and action recommendations.
Talent companies now have the opportunity to visually analyze all their data in one platform, pivoting on variables, and gaining actionable insights. Best of all, you do not have to be a data scientist to use a platform like Signals. It is fast, and very easy to use with internal and external data sources.
See how easy visual analytics can be by trying one of our self-service user accounts. Contact us on chat, or by emailing clientsupport@stratifyd.com. We would love to work with you on your next project.
Learn more: stratifyd.com
