Business leaders of the 21st century are living in exciting times. Technology has never been so advanced and the most interesting point to note here is that the shelf life of technological advancements is lesser than before. All of them are becoming redundant in a short period. Everyone knows, and there is a disruption happening at each moment. But even amidst these exciting times, one question remains.
Would all of this have been possible without data?
Humans started innovating around their daily tasks when there was real actionable “intelligence” for them to ingest. And how did humans get this intelligence? By gathering data, talking to people, consulting with experts, etc. But at the turn of this century, an amazing advance in the data space happened. The amount of data getting collected skyrocketed.
IDC claims that the global datasphere will more than double its size by 2026.
In parallel, the technology to analyze the data and derive actionable information is also maturing, albeit slowly. There are umpteen issues associated with the modern tech stack engaging in the business of data analytics, the most common of them being technical complexity.
To battle these issues associated with data access, a simpler tool that allows you to engage in meaningful conversations with your data is required. Before we understand the concept of talking to your data, one has to learn about data storytelling and how it sits in the context of conversing with your data.
Data storytelling is a framework to communicate information in a way that is easy to understand. It’s the process of using data and visually representing it to create stories. These narratives help readers understand how specific trends came about and how they’re evolving. Three aspects that every data story must possess to make it relevant, engaging, and interesting are:-
Data storytelling is a niche skill that a select few possess. It requires an in-depth understanding of the patterns hidden in data, building effective visualizations by navigating through different analytics tools and structuring the data points to provide a story.
But the world is moving at a pace where frontline employees are becoming decision-makers and their decisions are dependent on improved data access.
87% of leaders say their organization will be more successful when frontline workers are empowered to make important decisions at the moment – HBR
Enabling everyone to become data storytellers is possible when you build a data-driven culture and encourage everyone to depend on data by simplifying its access.
Take a step back, and travel back to the business world of 50 years ago when business leaders were expected to take tough decisions. Regular meetings would always have been a part of their daily life.
Imagine you’re a finance leader chairing a meeting and your team is presenting to you the order to cash figures of Canada for 1972.
These are some of the questions, you will pose to your team members and they will be ready with their answers. At times, you will also be discussing with your Accounts Receivable director to rethink the strategy and improve cash flow.
Fast forward to today. The questions remain, but the way answers are consumed has changed. You’re sitting in front of an A/R dashboard and navigating through it to find the answers to the same questions.
Unfortunately, in the process of trying to innovate and close data gaps, we have also successfully complicated the process of deriving insights.
The current mode of researching, finding information, and then acting on it have its fair share of issues starting from information overload to delayed decisions.
But the most basic ones are related to human behavior while asking data questions.
Questions for deriving data insights and information are neither finite nor fixed in nature. They change every year, every meeting, every moment.
The objective of the information seeker will influence the questions – A CFO may not necessarily be looking for the same information as a collection analyst.
The answers will prompt more questions from the user either because the original question was incomplete or the data answer has shown additional insights.
A conversational approach to data analytics is the simplest solution as it is not different from the past. A past where humans helped each other to get actionable information, and make brilliant business decisions.
The only difference is that a technology like conversational insights is acting as your data assistant, but you won’t feel the difference. Conversational AI has ensured the humanization of machines so that actual humans can get more done in a shorter timeframe. The benefits are many, but two that will have a bigger impact on your data analytics will be:-
Conversational insights is the one true solution that will ensure everyone becomes a master data storyteller.
Would you like to see conversational insights in action, where a business leader like you is asking data questions and getting insights, all in the language you speak?
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