If you are in the Contact Center industry, this information will be of incredible value to you.
It is a brief comparison of the features offered by Tableau and those provided by The Reporting Engine.
Tableau was designed to appeal to all industries, which includes science-centric sectors, and for that reason, Tableau has many advanced analytical features that are irrelevant to the Contact Center industry.
Furthermore, these advanced features deliver a complex and layered User Interface that needs a very intensive training regimen and a steep learning curve for users to be able to create even the most simple reports.
The Reporting Engine, by contrast, caters exclusively to the specific needs of Contact Centers.
Tableau relies heavily on IT or BI Teams to provide their users/viewers with reports.
Not many small/medium-sized businesses can afford this extra cost when investing in a business intelligence solution.
In Tableau, Reports/Dashboards are created by highly-trained experts.
Their reports offer some interaction and drill-down capabilities to their user/viewers, but these are limited in scope when compared to the flexibility, power, and independence that The Reporting Engine provides each user/viewer.
The Reporting Engine is a BI solution designed for the unique requirements and nature of Contact Centers.
It provides a BI solution for all types of users within the contact center world by meeting their every need promptly while eliminating their dependence on technical teams.
Because Contact Centers have high turnovers, the time and expense of training can be overwhelming.
The Reporting Engine offers real-time data that can be used to better manage staff.
TRE’s versatility will save time and money.
Your phone system doesn't keep data for very long, and Tableau does not provide database storage capabilities.
The lack of storage forces customers to create in-house database structures and automation to leverage their historical data for business insights.
And this means additional costs. The Reporting Engine provides extended data storage, eliminating another additional expense.
Tableau does not provide Real-Time capabilities: customers have to design that functionality.
Contact Centers need reports to automatically refresh every 10 seconds to help them manage their service levels with their customers.
Contact centers have their agents reporting to team leads.
There is much team shuffling that goes on throughout the year in contact centers.
Upper management not only needs reports on the agents' performance, but they also need reports for each team and each team leader.
Timely and accurate reports are crucial if they are going to be able to manage their coaches/team leads effectively.
The challenge for reporting with all contact centers is strikingly evident when upper management look at their team leads' performance results: they need reports that retain the historical performance indicators of their team leads that preserve the historical data for each coach, despite the continual shifting of team members or agents.
In other words, the historical aspect of their team leads’ performance needs to remain intact even when the team lead is now responsible for new agents.
For this to happen, the new team lead’s results must only begin to reflect the performance of the new agent from the moment they join their team, and the previous team lead’s indicators must remain unaffected until the moment the agent stops reporting to them.
Stable performance indicators for team leads mean that there must be a structure to maintain their results independent of the make-up of the agents they are coaching at any given time.
Accurate reporting must also be able to track results for individual agents as they move from team to team.
This complication escapes most BI solutions and developers alike because they are not aware of this dynamic within the contact center industry.
To ensure reporting and analytics continues to provide accurate results not only for agents (that's the straightforward part) but also for any groupings/categories/team results requires a database application and structure that tracks the movement of said agents.
The ability to do this is built-in the Reporting Engine.
A structure that allows for the tracking of individual agents and team leaders, as well as team or group results, is crucial to effective contact center management.
"Canned Reports" will be created on implementation by The Reporting Engine at no cost.
With Tableau, there will be substantial human resources costs to generate the necessary canned reports.
Contact Centers need their users to have the power of insight, and for that, they must create their own dashboards/reports for their analytical needs.
Tableau limits non-technical users (supervisors, business analysts) to work with reports/dashboards designed by highly-trained experts in Tableau.
Non-technical users cannot create their own reports unless they follow the intensive training program.
The Reporting Engine training program lasts no more than 90 minutes, after which a user is capable of making the most of all of the system’s functions.
Tableau offers Dashboards but does not provide Scorecards. Gamification and goal setting is a common practice for Contact Centers.
The Reporting Engine scorecards manage thresholds, goals, and targets for individuals, supervisors, and departments, and displays these with the stats for all indicators, allowing management to see who is achieving their goals and to gather information about any gap between results and goals.
The Reporting Engine Custom Demographic feature enables Management to report on aggregates based on a customer's own categories.
This feature lets users view results rolled-up by custom categories like Departments, Supervisors, Regions, Districts, Teams, Skills, Seniority, or any variable you or your team deems significant.
These also serve as additional filter options for the customers' business intelligence.
Tableau can only support this if each customer develops their own databases to manage the information.
Again, creating our own databases requires a significant outlay of time and capital, and also involves automation and proper relational tables design and updating algorithms.
The Reporting Engine offers a comprehensive package with features that will save you time and money.