As data science has taken center stage in a lot of organizations, many are relearning what they’ve already known – that dry, mathematical calculations don’t inspire and don’t stick. It’s the story that matters. In this second of a two-part blog series, we look at some best practices for data storytelling and how Qlik analytics can help.

As data science has taken center stage in a lot of organizations, many are relearning what they’ve already known – that dry, mathematical calculations don’t inspire and don’t stick. It’s the story that matters. In this first of a two-part blog series, we look at the history and neuroscience of storytelling and how it can help us understand data at a more human level.

Qlik has performed extremely well in peer-based reviews over the years, but one peer-based review organization which sometimes flies under the radar is G2. They shouldn’t - G2 has been around for a decade and published over 1.7 million reviews covering thousands of software products.

If there is a job synonymous with numbers and data, it’s finance and accounting so you’d be forgiven for thinking that those working in these roles are, by extension, data literate – with the ability to read, work with, analyze and communicate with data. In fact, this is the lie. There is a very big difference between reporting on data and taking informed action using the insights data can provide.

Workforces across the world have changed rapidly over the past couple of years thanks, in large part, to two major trends. The first is the rapid digitization and transformation of service offerings during the pandemic. As our working lives shifted from office-based to online-based, the services that enable employees to do their jobs had to follow the same pattern. And with working practices predicted to remain a hybrid mix of office and remote-based, these changes are here to stay.