This post is a part of my thinking around the concepts I wrote about in my latest book, “THE DECODED COMPANY: KNOW YOUR TALENT BETTER THAN YOU KNOW YOUR CUSTOMERS.” You can see some of my other thoughts about big data, organizational culture and talent management HERE.
I’m currently writing this from the Thalys train that is speeding from Amsterdam back to Paris. I am marvelling at the wonders of the modern age: traveling between two countries (three if you count our stop in Brussels) is seamless and I am comfortable and happy thanks to roomy seats and free wifi. One of the main benefits of living in Europe has been access to these amazing trains systems. I always prefer trains to the security hassle of removing shoes and putting liquids in tiny plastic bags.
I was in Amsterdam keynoting an event, and the conversations I had with some of the attendees afterwards got me thinking. Data literacy and budget constraints are the two hurdles I hear about most frequently that are standing in the way of organizations interested in embracing the Decoded Model.
The great thing about the Decoded Model is that it encompasses a unifying philosophy to integrate analytics, not just a tactical response. This means that you can have 10 companies who are using the Decoded Model in 10 very different ways. This isn’t a solution you pull off a shelf and plug into your organization. It’s a very powerful resource that helps bridge strategic vision, cultural objectives and analytics together in a cohesive and coordinated way. So if you’re a small team or a huge multinational, our thinking around people, technology, and culture can be successfully implemented.
For some reason, there is this weird, persistent belief that implementing Big Data initiatives is an all or nothing approach. This is not true! Being Decoded falls on a broad spectrum. A small team who is looking to implement Technology as a Coach to create customized learning is going to have a different budget and scale than a company with 30,000 employees seeking to do the same. They are both applying the principle but in very different ways. This is good news: it means that no matter what your constraints are there is a spot for you to become Decoded in a way that makes sense for you and your team. This goes double for your technical competency: you don’t have to know how to code or be familiar with databases and algorithms to get started. In writing the book, we made sure to include experiments and easy to complete tasks that addressed a variety of skill levels.
The other big issue that gets mentioned quite often is always about money. Isn’t data expensive? Clients tell me that they don’t have the budget to invest in customized analytical solutions. Once again, budget is a constraint that falls on a spectrum. A small company with limited budget shouldn’t have to invest hundreds of thousands (or millions) into a customized platform. It doesn’t make sense! Instead, when looking at the Decoded Model know that there are many inexpensive or free tools that can help you get started without a large capital investment.
I should note that while there are a multitude of ways to implement data and analytics inexpensively, doing so will always require a significant investment of time: it will take awhile to familiarize yourself with the new and available tools and to deeply examine your own systems and processes to spot areas where you can apply the Model. I wrote a few months ago about some easy ways for companies to track their productivity, that you can use to help you get started right away.
The biggest hurdle is often a mental one: letting go our beliefs or assumptions about what we think big data and how we can use it to make better decisions. Remember, if you have a piece of paper and a pen – you can be Decoded. Know how to use an excel spreadsheet? You can be Decoded. Have a budget of $0? You can be Decoded.
Interested in applying the Decoded Model to your team? Check out my MasterClass.
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