How AI-driven chatbots are increasing analytics adoption for decision-makers
With the sudden growth in the field of BI, making information more available, usable, explicable is an exercise to simplify the end-user experience. In the current scenario, most of the data is in mass volume, and it is not an easy task for the managers & executives to process.
Presently, organizations are considering data as one of their indispensable assets and — if it is used wisely, then it will give profits to all parts of the business from- Sales & Operations to financial planning, HR, etc.
Numerous organizations are having some sort of analytical applications/ business intelligence or initiatives that take your association to different stages of maturity.
In the present scenario, the actual usage of chatbots is not very high. According to a survey by Gartner, Inc- 70 to 80 per cent of business intelligence initiatives end up failing.
And the core reason behind the low adoption rates of Business Intelligence is bad user experience. Presently, BI platforms are operational with more advanced analytics features, but they lack in offering an easy-to-use interface that furnishes actionable and meaningful insights.
Essentially BI is a self-service platform where employees need to access the Business Intelligence systems to — filter data, download reports, switch different apps, go through multiple reports, etc.
But the non-friendly experience of tools makes employees hesitant to use them for everyday decision-making.
Enhance BI & Analytics Adoption with AI Chatbots For Better Decision-Making
80% of businesses want chatbots by 2020, Before using a chatbot, one should know the hallmark of a true AI-Powered chatbot. At present, businesses are shifting dynamically, and most of the chatbots are rule-driven -where you have to code the instructions consistently at the backend. Hence, you require really smart machine learning-driven bots that learn the different scenarios and are easy to use.
Chatbots help to convey all these points — here’s how you can increase the BI and analytics adoption with AI-powered chatbots.
Conversational Analytics
Experience gives enterprises a quicker and easier way to ask questions, generate insights, and make data-driven decisions. It can be readily accessed through the popular collaboration of tools like slack, skype, Microsoft teams, etc.
Natural Language Processing (NLP) automatically trains itself and delivers insights for not only what is happening, but also why — and where to go next. Insights include interpretations, auto-generated charts, period-over-period calculations, key drivers, predictions for measures, and even comparative analysis.
Users can set alerts for KPI thresholds, share and collaborate conversationally, and even interact using voice integration.
AI for All
A data-literate world is a key part of the vision, and AI plays a significant role in making analytics accessible to everyone. AI as Augmented Intelligence — combining, not replacing, human intuition with the power of machine intelligence.
It brings together two revolutionary technologies: Associative engine, which uniquely supports exploration by understanding the relationships among data values across all sources; and secondly, Cognitive Engine, which suggests new insights to explore based on the data set and user-defined search criteria.
The result is a powerful collaboration between human and machine intelligence, surfacing insights that would otherwise have gone undiscovered.
Secured, Multi-device employment and a helpful assistant
AI-Powered chatbot secures data through features such as user authentication, authorization, encryption, and access controls.
The AI chatbots are available and functional on multiple device types, including laptops, desktops, mobile phones, and tablets. It must also support different operating systems such as Windows, iOS, and Android.
Chatbots act as helpful assistants to users to eliminate the need to visit BI tools and undergo sophisticated navigation flows. The easy-to-use conversational interface of bots enables users to get data by asking one question at a time.
Therefore, AI-Powered Chatbots make the purpose of a self-service BI a reality and give the much-needed element of speed to decision-making. This element of speed combined with easy and hassle-free access to multi-format data anywhere and at any time offered by chatbots make them an ideal solution to boosting a BI and analytics user adoption.
Final Thoughts
Therefore, if you have invested a lot in chatbots, then- Chaplin AI, powered by Polestar Solutions is the one link that can help you to leverage the entire investment. So, if you’re serious about becoming a data-driven organization.
Chaplin-AI offers great potential to improve BI and analytics. Not only can it help raise adoption rates, but it can help all enterprises to become more data literate and make smarter business decisions.
Also Read: How AI-Powered Chatbots Simplify BI And Analytics Adoption For Decision Makers
