I am back with blog 3 in this series! In blog 1 I introduced the concept of the Digital Complexity Paradigm (DCP), and in blog 2, I broke down the DCP by focusing on the Technical Complexity factor of that formula. As covered in blog 2, using my favorite “digital transformation of the broom” example, the Technical Complexity enabling today’s digital is getting more and more challenging, and there is no end in sight. That in itself can be a mountain to climb.

The Moesif product team has been staying very busy as of late! We have been listening to our partners and gathering feedback, and what we have heard is an outpouring of requests for new tooling that provides a 360-degree-vantage-point into your customers’ account health. As a result, we are very excited to announce that we have released our newest feature: Profile Dash View.

Ever wondered, how do you measure testing productivity or testing effectiveness? When to say testing is complete? In all such questions, QA metrics come to the rescue. QA metrics allow test leads or managers to take decisions on various situations encountered in the project life cycle. Tricky part is that QA metrics make sense only in the given context. For example, for one project 95% pass percentage is good to go live but for a safety-critical application anything less than 100% is life-threatening.

Our mission is to help our customers solve the hardest challenges in DevOps and we take this mission seriously. We’ve fully embraced the opportunity to grow, build stronger communities, and bring new capabilities to enterprise teams, so there’s nothing getting in the way of innovation. Our comprehensive solutions and deep domain expertise enable those same customers to address quality, security, compliance, collaboration and speed—across the technology lifecycle, at scale.

With a plethora of programming languages available today, the important question is “Which programming language does a programmer prioritize learning?” Without a doubt, the world of programming revolves around experienced programmers with cutting-edge coding skills. So, if you’re planning a successful career in software development, understanding the hottest, trending languages is key.

In a previous article, we talked about the lost art of questioning and its importance when working with data and information to find actionable insights. In this article, we will expand on this topic and explain how questioning differs depending on what stage in the process you are from transforming data and information into insights.

The phrase “We are only as strong as we are united, as weak as we are divided”, though coming from the fictional Albus Dumbldore character in the Harry Potter saga, can also perfectly illustrate the importance of ERP integration to companies. An ERP system is often considered to be the backbone of an enterprise whether it is an eCommerce, supply chain, manufacturing or healthcare business.

At Talend, we tend to describe poorly organized, unhealthy data as “digital landfills.” But we don’t often talk about actual landfills. That’s right, the ones filled with trash. As anyone watching real estate prices will know, land is a finite resource. It’s crazy to think that we’re still dedicating land to storing our garbage, where it will sit releasing pollutants and greenhouse gases for decades to come.

At Mercado Libre, we are obsessed with unlocking the power and potential of data. One of our key cultural principles is to have a Beta Mindset. This means that we operate in a “state of beta”, constantly asking new questions of our data, experimenting with technologies and iterating our business operations in service of creating the best experiences for our customers.