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Vue is an open-source, progressive JavaScript framework for building user interfaces. It was designed to be incrementally adoptable – the core library focuses on the view layer only, so it's easy to integrate Vue with other libraries or projects.
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This is a practical guide on improving predictability: you’ll learn how to recognise when you need to work on your predictability and how to set the right goals to achieve the results you want. At the very end of this article we also talk about the future and what the next steps will be for Netguru as we grow and mature as a company.
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On our quest for more predictability, we were visited by consultants with prior experience gained at leading software corporations. They were supposed to share their tools and processes and help us identify what we could improve in ours. In reality, they couldn’t help us. Our predictability was higher than theirs, and they saw no need to improve it any further.
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Developing a software product is a risk. Ask all the failed tech startups. According to this report by Small Business Trends, more than 50% of small businesses fail in their first 4 years. The leading reason? Incompetence, which basically means failure at applying good internal processes in business. So, what can you do to turn the odds in your favour?
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“Step up your game, be bold, act fast” was one of the key messages delivered by Georg Ludviksson, CEO of fintech startup Meniga at the Impact fintech’17 event. Even if that word of advice for incumbent banks wasn’t heard loud enough, no one could ignore the latest news about BBVA’s investments in Atom and solarisBank (by the way, we are happy to have solarisBank as a partner here at Netguru).
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Fintech sector is at a turning point. It hasn’t become the mainstream yet, but it is already gaining momentum among startups and large enterprises. The legislation around the market is evolving, alternatives to traditional banking are popping up, and Blockchain is redefining security concerns. That said, the UX aspect of new fintech platforms is one of the biggest shifts the new technologies offer. Those who fail to understand the connection between design and fintech will lag behind. Best use-cases, lessons learnt, industry leaders. Join the fintech community at Disruption Forum Berlin Fintech!
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The Policygenius story goes as follows: back in the day, two McKinsey consultants were advising insurers on growth and marketing strategies. They found a repetitive pattern: the insurers didn’t have a clue how to engage with customers online. So they decided to start their own company to tackle that challenge.
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China earned its reputation for copying, but it would be naive to let this “can’t innovate” myth persist. “You can no longer lose sight of what is happening in the East”, warns one of the largest consulting companies. And this is especially true for the financial and insurance industry. China, with almost 800 million Internet users, propitious regulators, and behemoths such as Alibaba or Tencent, is quickly becoming the world's largest innovation incubator. To crack the Chinese secret code, I spoke to Mikołaj Bołtuć and Marcin Nedwidek of the Boston Consulting Group (BCG).
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Machine learning applications can bring you more clients, increase sales and reduce business costs. However, if not used properly, they may lead to customer outflow, money loss and reputation damage. When should you use ML in your business and when is it better to stick with traditional computing methods?
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Several years of UX experience - in core-banking in a global bank and the fintech industry in both London and Poland - led me to create this list. The entries below are absolute must-haves when it comes to fintech products.
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