Blogs and News

Insights. Ideas. Opinions.

Your business is only as good as the software driving it

Apr 06, 2019 | Esko Hannula

Does the success of your business depend on the flawless operation of your information systems? It does for most businesses today.

Stop and think for a minute. What do you know about the systems your business relies on? Where do they come from? How is their quality managed? How do you know if something goes wrong? How can you reduce the risk of something going wrong? What are the biggest risks that could materialize? How likely are they?

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What you need to make your IT organization powerful

Apr 02, 2019 | Esko Hannula

“From projects to products” has recently become a fashionable slogan – and for a reason. In the past, an information system was a project investment. We spent a year defining it, a couple of years implementing it, and a few years utilizing it. Then we started a new project to replace the system.

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How to apply new control attitude to your digital backbone

Feb 19, 2019 | Esko Hannula

Every decent executive wants to have situations under control. But information systems, and particularly their inter-dependencies, have already grown beyond our ability to control them. Seeking full control is, unfortunately, a fool’s errand.

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Shift-right to production testing if you can't shift-left

Jan 22, 2019 | Mika Kaukoranta

A reasonable approach to test company’s business critical information systems such as ERP depends on the visibility to product development. If the system is developed in-house there's likely a good visibility to actual development teams’ work and quality assurance can be involved in the very early phases of product development. Involving QA early can be referred to as shift-left. On the other hand, a system used as a cloud-based Software-as-a-Service (SaaS) without any visibility to development is restricted also from the testing point of view. Only production version testing might be possible, often referred to as shift-right.

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AI-Boost – Four ways AI will transform your testing

Jan 15, 2019 | Henri Terho

1 - AI-augmented test analysis and optimization

Testing by itself is done to validate the software solution being developed and guarantee a certain agreed upon level of quality for the product and to make sure no major regression happens in the software. 

Machine Learning methods will allow us to bring a larger amount of statistical analysis tools to bear on all the test and telemetry our software pipeline is producing. We will see a surge of different software vendors bringing solutions for different kinds of dashboards and visualizations to provide a way to analyze the validity of our software and provide metrics for just about anything. 

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Ensure success through meaningful customer culture

Dec 19, 2018 | Vili Nieminen

The third and final blog of the series builds on the link of employee and customer experience and CX metrics development to emphasise the importance of customer focus in organisational practices and paradigms. 

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