Each business is different, and every problem has their unique circumstances. That said, there's nothing really new under the sun, and very different companies seem to bump into very similar questions. We often hear about outsourced teams that left the project halfway through, and other examples like:
More often than not, the answer is yes. The earlier the intervention, the higher the chance that we can hit close to the target of the original budget and schedule without losing precious time and without the emotional burden of having to start again from scratch.
We're happy to offer a free first consultation to understand all details about your project. We often find that simply bringing a fresh perspective to the table can significantly improve the outcome, and restructuring the workload and objectives can go a long way in bringing the project back on track.
We often do. Our contribution is always tailored to our client's needs. For some teams all
that's needed is a good mentor, for others, we help bridging resource gaps with extensions
to the development team.
There's a healthy balance between regular face-to-face interactions and strategic off-site work that fits each team's needs and budget. To be able to scale up and down rapidly, we work with excellent IT contractors, coaches and the best recruiters in town.
In almost all cases, our work has a huge impact on key projects and on the decision making process, therefore we almost exclusively work directly with the CEO or the CTO of the company, or the product owner with the rights and willingness to make those decisions.
Project failure statistics are sobering. Big and large, almost one third of all digital projects are realised over budget, over time, or not at all leaving jobs and businesses at risk. We are experienced in stepping into digital projects at the 11th hour, to get technology back on track.
With 100 million new businesses created and 70 million shut down worldwide each year, buying and selling startups and their technology is common practice.
That doesn't make it any risk-free.
The real big data challenge is only human. We have to learn to ask the right questions, recognise patterns, make informed assumptions and predictions. Understanding what technology can and cannot offer is step number one.