BlogArticles: 195
Our latest articles on business systems, automation and implementation.
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When you order a CRM, an ERP or process automation, you can go to a large software house or to a small, specialised agency. We compare the two models: how they work, where each is stronger and how to recognise a good small partner.
Small teams often say they are too small for formal processes. This article explains why code review pays off even more with three or four developers, and how to introduce it without slowing the work down.
Two similar companies, two views of IT: one sees a department that fixes computers, the other sees the base of its business strategy. This article shows what separates them and where to start changing how you use technology.
Vendors promise 30% sales growth, perfect customer relationships and instant ROI. Then the team stops using the system and the data turns to chaos. Here are six common CRM myths, and what really creates value, based on our experience with dozens of implementations.
In many sales teams every rep keeps clients in their own Excel file, the manager does not know what stage the deals are at, and the CEO gets reports a week late. This article looks at how a CRM changes roles, management and the way sales teams work, and how to prepare people for it.
A big consultancy feels like the safe choice, yet small senior teams often deliver faster and with fewer handoffs. Here is how the boutique model works, when it fits, when it does not, and how to pick a partner.
Off-the-shelf software that almost fits, or a system built to order? We explain why Laravel and Vue.js work well for custom CRM, ERP and automation projects, and when a custom build makes sense at all.
Chatbots, lead scoring, demand forecasting and invoice processing no longer need a data science team. Here is where AI already pays back in business systems, with examples from real projects.
Testing takes 15 to 25% of a project budget, so it is the first line clients want to cut. Here is what skipping it cost in real cases, and the numbers from our own projects.
Many digital transformation projects fail because the company starts with technology instead of a business problem. Here is how to diagnose what hurts, set priorities and pick tools that pay back.
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