I wrote the following article 2.5 years ago, and as we transition the blog off to the team blog separate from the CEO blog, I thought it was the perfect time to show you how we, at Cluedin, have kept true to our original mission and are fueling customers to experience the connected enterprise today, by revisiting this original post.
Why I quit the perfect job to solve the problem of knowledge discovery
A few years ago I had what some would call the perfect job. I was a core engineer at a large software company in Copenhagen, Denmark. I worked with talented people, I worked on great products, and I only worked lots of hours because I wanted to – not because I was pressured to. It was a genuinely inspirational environment to work in.
I also consider myself a person that absolutely loves their job. In fact, it’s embarrassing the amount of time I spend on a computer – building, learning, training – trying to better my skills. My love for technology has fuelled a career that has taken me across the globe, speaking in front of thousands of people, and working with some massive talent in the software industry.
So why did I quit this perfect job? I’m a knowledge worker; I crave to know what’s happening within my team, my department, and my organization’s work because I know using this knowledge can help me produce better work in a more productive manner. However, the learning, training, and gaining of knowledge never really percolated naturally within the organizations I worked at and that one thing always irked me enough to decide to make an impact.
The problem of dispersed data
There’s a plethora of information that gets generated, distributed, and circulated within organizations every single day. Unfortunately, massive amounts of this valuable information are isolated or hidden in silos.
The problem of data being dispersed across an organization is that employees base important business decisions on the information they have at their fingertips and not on the organization’s collective knowledge. Actually, research shows that employees only utilize one percent of the information that sits within their organization to make decisions on a day-to-day basis.
A lot of guides tell us ‘fail fast and learn from your mistakes’, but I think this teaching should really be extended to also learning from others’ mistakes as well. In that way, employees would be able to utilize the organization’s collective information to make the most educated and deliberate business decisions.
I’ve always been convinced that connected data helps employees produce better results than disconnected data – whether that’s in terms of efficiency, quality of work, innovation, or even avoiding duplicating work that already exists. That’s why we, at Cluedin, over the past two years have built a platform that provides organizations with the ability to automatically share knowledge and connect every piece of information into one place.
Knowledge is power. Sharing knowledge is powerful.
The mission of Cluedin is clear; we want to tap every employee in an organization into all the data that is being generated in their organization to empower them to utilize this information, helping them produce better work, more confidently and efficiently in their day-to-day work.
The problem of knowledge discovery is a very complex problem and solving it is an ambitious goal. Organizational data mining is made up by many facets of complexity, including security, privacy, crawling, and search – just to name a few. However, at Cluedin, we believe that these facets, although important, are definitely not what solves the problem, they’re only staple requirements that are mandated to even be considered an entry level for solving this problem.
Thus, the intention behind Cluedin is not only to give employees access to the collective knowledge found in the heaps of unstructured and unmanaged data, but the ambitious task of understanding the data, making it useful to them. Because it’s only when information is understood it becomes knowledge, and knowledge is only insightful and truly engaging when it’s supported by an engine capable of connecting, mapping, enriching, and understanding the data.
I know our mission is ambitious; nevertheless, I’m confident we’ll succeed. By having a team of talented engineers, with broad enterprise backgrounds in building hugely scalable, intelligent and distributed systems, I’m sure Cluedin will drive a positive change in knowledge discovery, allowing employees to use the collective knowledge to propel them in their everyday work.
Founder and CEO, Cluedin