- “Insights platform Yabble has launched a new feature for Hey Yabble, a product that uses a combination of in-house proprietary algorithms and AI to generate insights from any unstructured text data in minutes.
- She says by using Hey Yabble Count, one of their customers was able to analyse previously difficult to access insights from call centre transcripts to understand their customer queries and staff support better. And she says a national retailer uses Hey Yabble Query to generate insights from customer satisfaction comments down to an individual store level.”
- “First, achieving data-driven leadership remains an aspiration for most organizations — just 26.5% of organizations report having established a data-driven organization.
- Second, becoming data-driven requires an organizational focus on cultural change. In this year’s survey, 91.9% of executives cite cultural obstacles as the greatest barrier to becoming data driven. As noted, this is not a technology issue. It is a people challenge.
- Lastly, organizations are establishing the leadership function — in the role of the Chief Data and Analytics Officer — which will provide the foundation for becoming data-driven. However, just 40.2% of companies report that the role is successful and well established within their organization.
- It has recently been argued that 80% of all new data is unstructured, meaning that it is not easily captured or made quantifiable.
Data-driven companies consistently execute on these three driving principles:
- Think different.
- Fail fast, learn faster.
- Focus on the long-term.”
“BMO has introduced a new AI-powered personal financial management solution tool called ‘BMO Insights’ that will be a part of the bank’s mobile app. The tool uses artificial intelligence to give customers personalized, automated and actionable insights to help them manage their finances and cash flow.”
“’What Explain Data does is it moves users from understanding what happened to why it might have happened by automatically uncovering and explaining what’s going on in your data. So what we’ve done is we’ve embedded a sophisticated statistical engine in Tableau, that when launched automatically analyzes all the data on behalf of the user, and brings up possible explanations of the most relevant factors that are driving a particular data point,’ Tableau chief product officer, Francois Ajenstat explained.”