At a Glance
The rapid pace in which changes and opportunities shift, makes it difficult for data services organizations to keep up, Motorola wanted a way for their executives to quickly gain visibility and understand data connected to their business KPIs and allow them to ask questions about products, customers, milestones, and more while they’re on the go.
The answer resulted in the form of a chatbot app that can answer questions by exploring real-time data and formatting it into a simple direct answer from Android devices. The BI-BOT chatbot serves as the conduit to these various types of data and information.
BI-BOT has allowed Motorola to have insights on their fingertips in order to determine new business opportunities, strategies, and more.
With the emergence of personal assistants like Google Home, Siri, Alexa, and Cortana, more businesses are exploring how to incorporate conversational UI to not only serve their customers but also their own organizations in order to enhance workflow and productivity.
We’re living in data-driven times and using data as a monitoring tool and using it actively to make decisions allows for more optimized business processes.
The traditional approach usually involves downloading data, finding a report, filtering data, getting the data which then generates complicated dashboards and visualizations.
Motorola recognized the need for a new and innovative approach to data as it becomes more vital to everyday business. That’s why Motorola partnered with Google and CI&T to enhance their vision of creating a channel that provides faster delivery and availability of information and data.
The rapid pace in which changes and opportunities shift makes it difficult for data services organizations to keep up, let alone get ahead of the curve. That’s why Motorola wanted a way for their executives to quickly gain visibility of business KPIs and insights, and allow them to ask questions about products, customers, milestones, and more while they’re on the go. More importantly, have data and information and be able to make sense of it.
The answer resulted in the form of a chatbot app that can answer questions by exploring real-time data and formatting it into a simple direct answer from any device. The goal: Break down the wall between big data and humans.
The requirements for such a corporate application of a chatbot differs greatly from other bots that are designed to simulate a human interaction. Integrating such a bot demands proper maintenance and a full understanding of internal ecosystems such as servers and applications. Then there’s the issue of security and ensuring that all information that is shared is secure and that it conforms to industry regulations. In order to assure security, users are authenticated by requiring to log in with their Lenovo ID.
The main purpose of the app is to translate natural language into a series of data queries (database, APIs, etc). and then format the data into a response that can be quickly assimilated by the user.
The BI-BOT chatbot serves as the conduit to these various types of data and information. Users can ask such questions as the number of activations in a particular month in a specific region or what the top-selling product is for the quarter in a certain country. The BI-BOT also performs IT services like opening a helpdesk ticket or searching for people on the intranet.
The Motorola Data Services team started a chatbot platform that, together with CI&T and built on top of Google Cloud Platform, aims to provide decision makers what they need—actionable insights that can be accessed anytime and anywhere.
BI-BOT enables Motorola’s Data Services team to get a real-time view of the queries captured by the chatbot. Insights beyond how many employees are looking at a report are now available to the team. Behavioral data such as what features employees are using the most or when and where they’re accessing the app are captured.
Eventually, the platform will be a true business assistant, which can answer questions, as well as, collect data and send it straight to your inbox. The BI-BOT also brings relevant news based on subscribed topics into a feed for the user.
The solution created by the teams leveraged Google products:
Google App Engine
Google Cloud SQL
Google Compute Engine
Google Container Registry
The chatbot app is currently only available to a limited group of beta users. But a wider team of Motorola corporate users will soon be able to have easy access to data to help them be more productive and access better-suited data much faster. They no longer need to rely on the data services team for information or need expensive reporting tools. Gone are the days of sifting through reports and deciphering dashboards. BI-BOT has allowed Motorola to have insights on their fingertips in order to determine new business opportunities, strategies, and more.
The future of the BI-BOT promises more features and functionality with natural language processing and query translation and allowing for contextual dialog. The Motorola Data Services team plan for the bot is to become more of a personal business concierge platform, ala Google Assistant for enterprise. Such features include providing users with an easy to use dashboard, relevant key performance indicators and as well as providing business news.
BI-BOT has started to get attention on other Motorola’s business units, which asked to get their own version of the application customized to their context and datasets. It is also being used as a flagship case in the company on how to create a great in-house app with limited resources in such short time.