Your Business Intelligence isn’t Working, and NLP is the Solution

What is Business Intelligence?

Business Intelligence refers to the use of data from a variety of sources to inform key business decisions. Analysing significant amounts of data for business intelligence takes a lot of time; businesses often work with huge quantities of data with detailed records of sales, pricing, fluctuations in traffic stock levels and much more, which all need to be processed and understood in order to create meaningful observations. Collecting large amounts of business data can be difficult, but it is becoming essential for competitive businesses. This data is continually changing and growing, and monitoring this change is crucial for the growth and development of your business.

So, what’s the problem?

Business intelligence can be a powerful tool for guiding businesses and the C-level staff that run them, but it is a deeply flawed system; searching through databases requires technical knowledge and specialisation, and this has helped to drive a widening disconnect between management teams and the information they stand to gain the most from. This disconnect can lead to the risk of making misinformed business decisions, or can result in huge expenditure to bring in data specialists to try and fix the issue. Natter.ai believes there’s a better, smarter way, and it’s called NLP.

What does NLP mean?

Natural language processing (not to be confused with neuro-linguistic programming) is an AI technology, focused on the automated comprehension of human language. This form of artificial intelligence uses machines to read text to imitate the way that a human might process and understand language. NLP uses lots of different techniques to achieve this such as machine learning, automatic summarisation and entity analysis, identifying keywords in a sentence to extract meaning and intention. The technology aims to understand written text and spoken language, mapping inputted requests to the appropriate responses. This process forms the foundation of chatbots and automated communication services.

How do Natter.ai use NLP to make accessible business intelligence?

Businesses spend a lot of time, money and effort processing business data into meaningful statistics, visualisations and graphs. Data that’s invaluable for smart business decisions is often buried in complex and expansive databases, and extracting what really matters can be a difficult, vexing process. This carries the risk of making that data inaccessible to those that will benefit most from it — the people making key business decisions. That’s why Natter.ai developed Tracer, a revolutionary approach to data and business intelligence. Tracer harnesses the power of NLP, and simplifies the complex methodologies most businesses adopt when tackling their data. The days of trawling through databases and spreadsheets or requiring the technical know-how to write formatted database queries with technical syntax are over, replaced instead by an intuitive search interface. Queries can be entered in plain text, just like you might in conversation, and Tracer’s NLP system will identify key search parameters, search your databases and return beautifully formatted charts, ready for application in documents, reports and more. Tracer allows people to interact with data using their own words, and helps CEO’s get back in contact with their business data.

Originally published at Natter.ai.