is a data assistant New Zealand WhatsApp Number List to company data. Thanks to artificial intelligence and NLP (natural language processing) algorithms, it allows all users to query the database in their natural language and access it as if they were addressing a person, in the form of a figure, a graph, a table… It is positioned at the heart of the third generation of BI (Business Intelligence) and data exploitation tools. The data is transformed into a virtual colleague who can be questioned in a conversation in natural language. What is the problem to be solved that started AskR? The usual BI tools that we think of to access company data have a very low

adoption rate: on average 22%. This means that among all the employees who have access to these tools, and therefore for whom a license has been provided (and paid for!), Only 22% actually use it. On the other hand, a whole population of the company who do not have access to these licenses regularly receive reports in Excel format which are difficult to read. An MIT study has established a direct correlation between the performance of companies and their ability to build an organization that enables data-driven decisions. Data-driven organizations have on average 6 points more profitability. We therefore have a contradiction

What Is The Problem To Be Solved That Started

with, on the one hand, organizations with a desire to set up data-driven decision-making processes, and on the other hand a very large majority of employees who do not have immediate access to the given. This is a subject that has existed for 15 years and that traditional BI players have not been able to resolve. So we took the problem differently. interface How did you start the project? Thanks to our in-depth knowledge of these Business Intelligence projects, the progress made in the field of AI and NLP, the solution became obvious to us. On the one hand, we believe a lot in conversation.


The data must be accessible to all employees who need it, and in a simple and immediate manner. What could be simpler than asking a colleague who has the answer? This colleague is, a robot that knows. This colleague has full control of the company’s data and will not only be able to answer questions immediately, but also notify us when he considers that a piece of data should be brought to our attention, without our having to ask him. On the other hand, the low adoption rate of classic BI tools is explained by the discouraging connection effort for a user. is not a new app . is integrated in the form

How Did You Start The Project

of a chatbot into the tools already used daily by employees, such as Teams, Slack, Workplace, Whatsapp, SMS, e-mail, or even via a widget integrated into the CRM or the ERP. It is therefore a BI platform without additional interface. Usually in an organization, out of 1,000 people who need data, only 200 have access to BI tools and 50 actually use them. We are not replacing BI tools for those who use them and are comfortable with them. We replace them for the 150 people who don’t use them and we provide BI for the 800 who have nothing. interface A word on the economic model? We charge an annual subscription which allows

access to the platform for an unlimited number of employees. This subscription includes setup, configuration, training of algorithms, supervision of machine learning and support by our teams. All our plans are unlimited in terms of users: there is therefore no hesitation on the part of companies to serve their employees with access to data. What will vary the pricing is the scope of the data. We could start, for example, with a scope of sales performance data, intended for a population of salespeople responsible for points of sale. We can then broaden the scope to other data for other populations. isn’t just for a

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