Data – the amount we create, how we create it, how it is accessed (think both people and Artificial Intelligence/machines), and how we use it to inform, propel and influence everyone and everything is one of the biggest challenges and opportunities we face in our lifetime. And it’s driving enormous change.
A favorite moment of mine is when I get to share Qlik’s vision for Active Intelligence with a customer for the first time. It usually goes like this: genuine excitement about the possibility – taking informed action in the moment from real-time data…invariably followed by many questions – where do I begin? What do I need? What about the tech stack I have already acquired?
Unless you’ve hidden under a rock for the past decade, you can’t have failed to notice that data in today’s enterprise is very much alive. It’s always moving, constantly changing, and we’re continually using it to create new business value. However, while data fluidity and visibility have blossomed, the opportunity to use that data to drive business actions seems to have withered in comparison.
With COVID-19’s ever-changing conditions – growing infection rates, shifting and new vaccine mandates, variant outbreaks and office closures and re-openings – HR has stepped up and taken on a significant role in helping organizations navigate every employee’s personal and work life needs. COVID-19 accelerated the evolution already underway in HR, with HR growing beyond being a policy and procedure hub into a strategic business partner.
Whether you are single, married, in a civil partnership, engaged or focusing on friendships, there is one relationship we all have in common that plays out daily in modern life – and that is our relationship with data.
My whole life I’ve been curious. You have to be, to become an entrepreneur. I’m curious about trends, about looking at data and finding patterns, which might show you where the next opportunity lies. And, as I discussed with Joe DosSantos in the latest episode of Data Brilliant, I’m a big believer in experimentation and learning by putting the data and analysis into practice.
When I began working at Qlik nearly seven years ago, it was fairly common for us to end our first meeting with a Federal agency with their team saying: “We need this.
Over the last year, perhaps unsurprisingly, increasing numbers of companies have made the jump to the cloud. It’s become a necessary move for so many businesses. But, as I discussed with Joe DosSantos on the latest episode of Data Brilliant – the rewards are abundant, but the journey is not always straight forward.
The manufacturing industry, like any other industry, is not immune to data challenges. Sourcing data, wrangling it and ensuring it’s being used in a governed, standardized way are not uncommon problems. Particularly in manufacturing, issues surface with inventory management, within the supply chain and with logistics.
We all know data is the new oil. Both data and oil are valuable resources and share a common quality; if unprocessed they cannot be used. Data and oil have to be broken down and built up again to create true value for the business. There is, however, one key difference. Whereas oil is tangible, data is not. This means that the flow of low-quality oil is traceable and will be noticed in the production process. But, what happens if there is a bad data flow in your organization?
