It doesn’t matter how much data your organisation collects; it isn’t beneficial until it gets used by your employees. However, to provide business value, employees must be able to understand and analyse the data to draw insights and make data-driven decisions.
According to a Gartner Annual Chief Data Officer (CDO) Survey, poor data literacy is one of the main roadblocks to the CDO’s success and a company’s ability to grow. Conversational analytics solves this by changing the way users can find these insights, making it easier for everyone to interact with data.
Conversational analytics is a Natural Language Processing (NLP)-driven analytics solution that incorporates AI and Machine Learning technologies to allow users to ask conversational questions and receive auto-generated responses and insight suggestions for users to explore further.
There are four main areas where Conversational analytics can be beneficial to your organisation:
1. Improves User Adoption
2. Reduces Time
3. Minimal Training
4. Accessibility
1. Improves User Adoption
Some may think that they have completed their journey in becoming a data-driven company once their new BI software or data reporting tool is implemented. However, this is often not the case. The next challenge for businesses is getting their employees to change their usual ways of doing things, and adopting this new tool. This can be difficult for teams that are not data literate and struggle to adapt to new ways of working.
Conversational analytics reduces this knowledge barrier by letting people use their innate communication skills to get the information they need. Businesses can input their own common terms, phrases and abbreviations as business definitions in governed libraries, making it easier for users to ask questions naturally. Upon asking a question, the conversational analytics tool like Qlik Sense Insight Advisor Chat, will instantly bring up the answer as well as relevant insights such as auto-generated charts, interpretations, key drivers, period-over-period calculations, predictions for measures, as well as comparative analysis. In addition, its self-learning AI means the more you use it, the more efficient and effective it becomes.
2. Reduces Time
With conversational analytics, more people – especially less sophisticated users – can embrace analytics using natural language, giving them a faster and easier way to ask questions of data, gain insights, and make data-driven decisions. Rather than having to search between apps and dashboards to find the right data, the tool uses the context from your question to quickly locate the right data. Making it easier for users to be empowered by data, wherever they are and whenever they want. Qlik Insight Advisor Chat can also be integrated with Microsoft Teams, Slack, Salesforce and Skype, as well as interacting vocally with possible Amazon Alexa integration, making data a part of every conversation.
3. Minimal Training
Conversational analytics places data in the hands of users who need a simplified experience from an analytics platform, while reducing the amount of training needed. Rather than needing in-depth training about how to understand charts and graphs, conversational analytics allows users to enter an experience conversationally and then transition to visual exploration for deeper understanding and discovery. This allows users to explore the data with the guidance of conversational analytics, making it simpler to deploy a data system within a large organisation, as more employees can easily access the data, even if they don’t need to use it very often within their role.
4. Accessibility
Its accessible on all devices including mobile phone and tablet. Get answers to questions you haven’t asked yet. Using Conversational Analytics, users can search a governed library of familiar business terms that produce multiple insights for them to explore, instead of just a single presentation of data. Conversational analytics makes data more accessible. With the ability to use the tool on your mobile, tablet or desktop, it allows users to interact with their data wherever they go.
Furthermore, any data that is restricted for certain user groups will remain only accessible to authorised groups using conversational analytics keeping data security intact.
Get in touch
Insight Advisor Chat gives you a fully conversational natural language experience in Qlik Sense. It features Natural Language Processing (NLP) that understands user intent, and Natural Language Generation (NLG) to deliver additional insight and perspective. NLP and conversational analytics are highly complementary with augmented analytics. Unlike standalone products, Qlik Sense allows you to ask questions in a conversational manner then dive directly into search-based visual analysis for deeper insight and exploration. Insight Advisor Chat is available directly from the hub, supporting search across Qlik Sense apps; you can ask questions without knowing where to look for data. Contact Tahola to learn more about Insight Advisor Chat and the benefits it could bring your business.