A leading technology service provider leveraged Power BI for their Natural Language Processing (NLP) and Analytics solution requirements | PreludeSys

About the client

The client is a leading technology service provider that specializes in several digital transformation services. Located in California, USA, they have been in the industry for over 25 years, serving industries such as healthcare, manufacturing and distribution, and finance.

Client requirement

Address the challenges encountered in capturing business requirements following extensive discussions with business stakeholders.
Resolve significant drawbacks in the existing solution related to reducing noise in the conversion process and delivering reliable output.
Minimize the effort expended by the customer success team when they translate client requirements to the technical team, thus preserving customer focus.
Implement a speech-to-text conversion solution integrated with predictive modeling capabilities to facilitate data-backed informed decision-making.

Solution

Conducted analysis of unstructured text and converted free text into structured data.
Performed content analysis, including topic and pattern analysis, leveraging advanced linguistics techniques.
Developed distinct models to classify various activity phrases into business requirements.
Created a bot interface to address gaps in business requirements, solidify user story formats, and update JIRA accordingly.

Results at a glance

The customer success team was able to shift its focus from transactional activities to solving customer problems

The project management team was able to optimize call time, call duration, and the quality of communication

Increased efficiency of the customer success team and Improved knowledge transfer, resulting in better outcomes for customers

Benefits

Integrated a chatbot to enable conversational analytics. Users can interact with chatbots using natural language commands to ask questions, receive insights, and perform data analysis tasks.
Advanced analytical features such as predictive analytics and machine learning integration. Users can leverage these capabilities to perform forecasting, identify trends, and gain deeper insights into their data.

Technology

Power BI