EN


Contact Center Analysis

The application enables you to analyze the quality of service for incoming inquiries and reduce staffing and equipment costs through workload planning.

Application Overview
Qlik Sense

The preconfigured "Contact Center Analytics" solution allows you to analyze key performance indicators for the contact center based on selected time periods, track agent performance, identify seasonal trends in the volume of inquiries, broken down by inquiry topic and other parameters, analyze the average call handling time, the number of successful transactions initiated by agents, and the number of new leads over a specific time period, broken down by acquisition channel

Who Is It For and Why?
Contact Center Managers
  • Analyze key contact center performance indicators: AR, AHT, and CPH.
  • Monitor compliance with service-level agreements (SLAs).
  • Obtain timely, objective information from sources such as IP telephony, CRM systems, and social media.
  • Analyze staff and telephony workloads, plan work schedules, and calculate pay and bonuses.
  • Improve employee engagement through a ranking system.
  • Contact Center Heads and Agents 1.
  • Access a dashboard with key performance indicators for the contact center as a whole and for each area of operation.
  • Analyze contact center agents’ performance in detail.
  • Analyze the contact center’s workload and callers’ waiting times.
  • Automate data collection and processing for analytics and reporting.
  • Use interactive analytics during meetings and negotiations.
  • 1. Plan inquiry volumes and calculate the number of agents needed to handle them.
  • IT Directors

  • Load data from any systems and sources.
  • Respond quickly to user queries, regardless of data volume.
  • Make changes quickly.
  • Benefit from rapid implementation, quality assurance, and support.
  • Use a modern BI platform to address the full range of business needs.
  • Provide users with a tool for self-service data analysis.
  • 1. Scale and deploy the solution on Windows/Linux.
  • Contact Center Managers
  • Analyze key contact center performance indicators: AR, AHT, and CPH.
  • Monitor compliance with service-level agreements (SLAs).
  • Obtain timely, objective information from sources such as IP telephony, CRM systems, and social media.
  • Analyze staff and telephony workloads, plan work schedules, and calculate pay and bonuses.
  • Improve employee engagement through a ranking system.
  • Contact Center Heads and Agents 1.
  • Access a dashboard with key performance indicators for the contact center as a whole and for each area of operation.
  • Analyze contact center agents’ performance in detail.
  • Analyze the contact center’s workload and callers’ waiting times.
  • Automate data collection and processing for analytics and reporting.
  • Use interactive analytics during meetings and negotiations.
  • 1. Plan inquiry volumes and calculate the number of agents needed to handle them.
  • IT Directors

  • Load data from any systems and sources.
  • Respond quickly to user queries, regardless of data volume.
  • Make changes quickly.
  • Benefit from rapid implementation, quality assurance, and support.
  • Use a modern BI platform to address the full range of business needs.
  • Provide users with a tool for self-service data analysis.
  • 1. Scale and deploy the solution on Windows/Linux.
  • Solutions for your industry
    Retail trade 07
    FMCG 07
    Banks 06
    Pharma 10
    Agriculture 05
    Production 07
    Telecom 06
    Distribution 08
    Restaurants 05
    Holding companies 07
    Based on years of experience working with business clients in CIS countries, RBC Group specialists have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry.
    Based on years of experience working with business clients in CIS countries, RBC Group specialists have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry.
    Based on years of experience working with business clients in CIS countries, RBC Group specialists have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry.
    Drawing on years of experience working with business clients in the CIS countries, RBC Group’s experts have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry
    Drawing on years of experience working with business clients in the CIS countries, RBC Group’s experts have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry
    Drawing on years of experience working with business clients in the CIS countries, RBC Group’s experts have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry
    Drawing on years of experience working with business clients in the CIS countries, RBC Group’s experts have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry
    Drawing on years of experience working with business clients in the CIS countries, RBC Group’s experts have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry
    Drawing on years of experience working with business clients in the CIS countries, RBC Group’s experts have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry
    Drawing on years of experience working with business clients in the CIS countries, RBC Group’s experts have developed effective solutions for analytics, predictive analytics, and data management tailored to the specific needs of your industry
    Retail trade
    Let's discuss your data challenges
    Please leave your contact information and we will get in touch with you
    Contact Center Analysis Contact Center Analysis
    Let's discuss your data challenges
    Contact Center Analysis

    Contact Center Analysis

    Call center analytics is the process of tracking key performance indicators to improve the customer experience and boost business productivity. It helps assess customer satisfaction levels, the quality of customer interactions, and the convenience and accessibility of services. Call center analytics provides a comprehensive, real-time view of the center’s performance across all interaction channels, allows for assessing trends in service quality, and enables proper planning of agent workload.

    What are the main challenges faced by call center analysts?

    Analyzing contact centers without analytical tools designed specifically for this type of activity is a challenging task due to the large amount of specific, scattered data:

    • several customer interaction channels and data sources;
    • a fluctuating volume of calls. The call center’s workload can vary throughout the day and may also depend on advertising campaigns or the launch of a new product;
    • a complex system for evaluating employee performance.

    Key performance indicators (KPIs) for contact centers include:

    • billed hours;
    • wait time;
    • number of incoming calls;
    • call handling time;
    • conversion rate;
    • number of calls answered, broken down by hour;
    • average time required to serve a single customer.

    KPIs make it possible to assess the overall performance of a department and to identify specific employees based on their ratings. Regularly monitoring performance metrics is a time-consuming process, but it plays an important role in call center management.

    How Does the Implementation of Business Analytics Affect Contact Center Operations?

    Call center analytics is based on data obtained from CRM systems, telephony systems, Excel, social media, and other sources. The information is converted into the required format using customized transformation algorithms and is used to generate real-time reports and visualizations. Within the analytical solution, the customer service process can be analyzed in three areas:

    • incoming calls;
    • outgoing calls;
    • processing online orders.

    Call center analytics enable managers to quickly access important data and insights that allow them to monitor the company’s performance in meeting its commitments. Visualizing call volume data by the hour highlights the need to take measures to ensure sufficient staffing during peak periods, thereby reducing or even eliminating customer wait times. Performance rankings allow managers to evaluate agent performance, award bonuses, provide additional training, and implement incentive programs for underperforming employees.

    This analytical solution allows contact center managers to access a dashboard with key KPIs at any time, which shows the performance of the department as a whole and its individual divisions. Analyzing metrics such as call volume and customer wait times on hold reveals how well the company is managing to accomplish its objectives with its available resources. Call center analytics help with workload planning, ensuring there are enough agents available throughout the day.

    Implementing an analytics solution significantly streamlines the IT department’s work. The flexible platform enables a unified information hub. Data is imported from various sources and automatically transformed, ensuring high data quality. The accumulation of information over time does not affect response times when generating visualizations. Changes are promptly reflected on dashboards, to which responsible employees have direct access in accordance with their respective permissions and responsibilities.

    The “Call Center Analysis” solution is a set of easy-to-understand reports containing real-time and historical information about call center operations, which can be analyzed at the company, department, or individual employee level. The data provided can be used by both front-line staff and managers who need to track their performance, reduce costs, and optimize efficiency.

    Read more