How Chatbot Conversations into Actionable Business Intelligence
Advanced AI Chatbots are an excellent tool for organizations to boost their business intelligence and data analytics. A swimsuit merchandiser from a popular high-street company is driving to her Monday sales and operations planning meeting. Slack alerts her just before her stop that the Oxford Circus brand showroom is at risk of running out of its most popular swimsuit line in July, right before the summer school holidays. She sends an urgent email to her Indonesian supplier to check on availability before her appointment.
Who sent the merchandiser the Slack message? It was not a 'who', but a 'what'. Her inventory warning was issued by a chatbot, an artificial intelligence 'robot' that is becoming widespread on consumer websites to automate sales and customer care processes. Chatbots are already being introduced into modern workplaces to make the essential 'final mile of analytics' faster, simpler, and more beneficial to common business users. They do this in part by boosting people's data literacy, allowing them to convey thoughts about data in a common language. Data-savvy employees can transform raw data into useful information because they understand how to evaluate it, what data is and isn't available, and how to use it effectively.
Why is the 'final mile of analytics' important? This is the realm of corporate users, and adoption often declines. Despite significant improvements in data visualization in business intelligence (BI) and analytics tools over the previous decade, adoption remains low at 32%, according to Gartner's most recent survey report. If businesses are serious about being data-driven, they require far more than eye candy. Business professionals want timely, relevant, and actionable data insights to thrive in their positions. Chatbots assist to deliver on all of these points—here's how
1. Push notifications and discovery
We're only at the point where AI-powered systems can detect changes, abnormalities, and outliers in data sets, and then utilize chatbots to deliver relevant information to users based on their jobs, interests, and preferences. In the future, this will grow more complex, not just disseminating information about changing data but also adding insights to it. Users in earlier systems must manually set up rules to be informed of crucial data changes. This is not merely a long and strict procedure; you must also know what you're searching for. It excludes the bulk of data eventualities that consumers cannot predict in advance.
2. Messaging integration
Every day more workers are connected through messaging platforms like Slack and Microsoft Teams. According to recent research from Spiceworks, 21% of businesses are using Microsoft Teams and 15% of businesses are using Slack. When Slack’s imminent IPO happens, we can expect to see more pervasive enterprise adoption.
3. Conversational analytics
This is when things begin to get fascinating. Conversational analytics allows people to connect with chatbots through message or voice. Essentially, it means being able to communicate with your data at any time and from any location. Assume our merchandising planner wants to learn more about why that particular brand of swimwear is running low on inventory. She can ask the chatbot why this is happening and what's driving the trend. The capacity to freely communicate with a bot using natural language represents the future of workplace analytics.
4. Chatbots make ideal data messengers
I will agree that chatbots were not universally popular at first. For example, Facebook had to cut back its chatbots after 70% of conversations failed owing to communication issues. When a sales chatbot appears on a website, it might make some customers feel uneasy. In customer assistance contexts, however, Automation chatbots are becoming increasingly popular. This is especially true when someone simply wants a straightforward and precise answer to a query like "What's the Wi-Fi code for my router?"
Similarly, chatbots are perfect mediators for data information in firms attempting to increase data literacy among their business customers. Data questions are 100% deterministic, with just one correct answer. This implies that a chatbot is not required to have the same amount of ambiguity and precise grammar as a more personal sales discussion. Once individuals get over the strangeness of talking to a machine, they begin to feel comfortable asking data inquiries, knowing that they are not being evaluated or hustled by an impatient data specialist.
Chatbots and human customer services; does artificial intelligence replace or complement humans?
Finally, chatbots are popular among millennials, for whom texting is second nature. According to mobile marketer 3C Interactive, 40% of millennials engage with bots regularly, and this statistic is steadily increasing. Chatbots deliver the rapid satisfaction that millennials have come to anticipate since growing up with search engines. This is significant because, with millennials poised to become the biggest age cohort in the global workforce, more corporate IT strategies are focusing on technology geared to recruit and retain younger people. decision If you're serious about becoming a data-driven business, chatbots can significantly boost BI and analytics. Not only can chatbots assist in increasing adoption rates, but they can also help all of your employees become more data-literate and make smarter business decisions.