Is your team struggling to perform, but you're not sure what's going on? Are you having challenges with delivery, but you can't put your finger on the problem? I'm going to provide some insights today for you. Hi, I'm Peter...
Do you take time to identify tasks you have to complete for the following day or week? A lot of us do. Is it working for you, though? I want to present some alternative approaches. Hi, I'm Peter Nichol, Data Science CIO. How do you start your week? What method or approach do you take to ensure you meet your daily, weekly, or monthly objectives. Many of us sit down and try to articulate what activities we have to focus on or complete for the week, and that's pretty normal. The challenge is that we get a false sense of productivity. For example, if we have fifteen different tasks and complete ten, we think, Wow, we're two-thirds the way through or sixty-six percent completed with those initiatives. But the reality is that we didn't weigh those to-do list tasks based on either priority or the time it takes to achieve them. As a result, while ten of fifteen activities may be completed, 70% of the time required to complete all tasks is placed within the remaining five uncompleted tasks. This gives us a false sense of productivity.
How are you managing your remote teams and ensuring that they’re at the maximum level of productivity? Today I’m going to provide some insights on that topic. Hi, I’m Peter Nichol, Data Science CIO. Last week, we talked about the Ivy Lee Method, which ensures productivity on a team, focusing on individual performance.
Are you trying to figure out the next productivity hack? Interested in discovering a way you can improve? Curious how to accelerate how much time you have every day? I want to share something that I’ve used for many years. This method is the main reason I’m so productive; why can I write more every day, create more content, and ultimately spend time doing the things I love like sailing, flying planes, and scuba diving.
Today, we're going to talk about a simple predictive analytics example applied to day-to-day business operations. Let's shift away from model discovery, asset management, and risk management into a practical design that works. Let's explore this model I've been using for years that is highly impactful. Here's how it works.
Today we're going to focus on what data science is, the typical areas of data science, and how to get involved in untapped opportunities. Let's get into it.
One of the challenges we see with dev operations is that folks don't understand what it means. As the term is getting more and more popular lately, I thought I'd take a minute to explain it. DevOps is a lot different than DataOps. DataOps focuses on automation. It's a process-oriented methodology that data science teams use to simplify or streamline a data science workflow, typically generating analytics. Where did the concept originate from?
Today we're going to talk about citizen development. Most of our days are spent trying to put out fires and rationalizing rogue applications developed outside of standard IT governance and protocols.
Today we're going to talk about team norms. The idea behind team norms is that every team has informal and formal ways to integrate, collaborate and support behaviors that are encouraged by that team. The concept of team norms is to start with principles that the team generates themselves explicitly. This defines the behaviors the team promotes. By doing this, it helps focus the team on cooperative or accepted group behaviors.
Usually, there is a lot of energy and money dedicated to speed to market, service effectiveness, and driving new business models. Typically, this is represented as breaking down silos, which might include: Demand forecastingSupply planningProduction manufacturingLogistics planningSales and operations We'll start...