AI for Business Intelligence, Built on Your Company's Data,

Business intelligence (BI) involves using tools and approaches to analyze and visualize business data, aiding in grounded decision-making. AI for business intelligence leverages AI and generative AI tools to automate key data processing and analysis tasks, providing meaningful insights more quickly."

AI tools for business intelligence typically include the following features:

• automated extraction, transformation, and loading (ETL) of data;

• data analysis, including analysis of channel performance, ticket (customer’s query) resolution, agent efficiency evaluation, trend predictions, and comparison of different metrics;

• composition of insights and trend generalisation;

• visualization of trends, correlations, and classifications.

AI empowers business intelligence AI tools with capabilities to automate routine tasks related to data processing, searching for insights, formulating conclusions, and preparing reports. Due to NLP technologies, such tools don’t require special expertise to get insights: one can use simple task descriptions (prompts) to get a result.

CoSupport BI, as an AI-powered business intelligence assistant, covers all essential tasks in data analysis and insight derivation. These tasks include the following:

• identification of trends and correlations;

• predictions of trends;

• generalizing big volumes of information for providing focused and concise conclusions;

• composing recommendations and outlining practical steps to overcome business challenges;

• generating content for different tasks, information sources, and channels (email, social media, knowledge base, blog, reports, etc.).

One of the most prominent features of CoSupport BI as an AI for business intelligence is the skill to understand queries written in everyday language and provide insights in a human-like manner.

CoSupport BI, as a business intelligence AI assistant, provides all kinds of insights for solid decision-making. Below is the list of different types of insights and the corresponding queries one can address to CoSupport BI:

• Customer support performance. "What is the average response time for customer support tickets this month?"

• Customer satisfaction. "How does the customer satisfaction score vary across different support channels (e.g., email, chat, phone)?"

• Agent performance. "Which support agents have the highest resolution rates?"

• Ticket analysis. “What are the most common issues reported by customers in the last quarter?"

• Channel performance. “Can you provide insights into the performance of our self-service portal?"

• Predictive analysis. "Which customer issues are likely to increase during the holiday season?"

• Comparative analysis. “" “Have the repetitive issues reported by customers this year changed compared to last year?”

• Predictive analysis. Can you identify which customers are at risk of churning based on their recent activity and engagement levels?

• Feedback and improvement. "What are the top suggestions from customers for improving our support services?"

To sum up, CoSupport BI provides a comprehensive range of business insights for monitoring operational processes and decision-making.

AI-based business intelligence developed by CoSupport AI AI-based business intelligence developed by CoSupport AI covers the decision-making needs of all of the company's departments, including customer support, marketing, sales, HR, logistics, and finance. Every piece of company data can be transformed into insights and business recommendations that improve internal processes and customer experience, enhance the company’s products and services, and increase team members’ productivity.

All that you need for a start is to contact the CoSupport AI team. On the first call, you’ll get a clear picture of how you can benefit from AI for business intelligence and how soon you can get the first meaningful results.

To launch, the BI assistant needs data on which to base its conclusions, predictions, and insights. It’s your decision which data will be used. However, some sources are commonly used across businesses and departments, including the following:

• databases with the information you want to get insights from;

• the knowledge base;

• correspondence with your customers throughout different channels;

• inner documentation, such as SOPs and policies;

• data from the CRM and back-end systems.

Your data has the highest level of protection. All data is processed on CoSupport AI’s side and stored on dedicated servers. Database structure reduces the risk of data leakage and jailbreaking to zero.

CoSupport BI, as an AI-powered business intelligence tool, integrates with business messengers, such as Slack or Microsoft Teams. The BI assistant is embedded naturally into these tools’ interfaces and allows for obtaining business insights through questions formulated in colloquial language without using special terms from data analysis.

The price of using the AI-based business intelligence tool provided by CoSupport AI depends on two factors:

• the number of users in a company;

• the number of requests for a particular user.

The general pricing model is “per user per month,” meaning that a particular user can make a fixed number of requests per month within a plan; any additional requests are charged extra.

Alternatively, the scheme “per team per month” can be applied to provide a pricing plan oriented towards team-scaled work with CoSupport BI.