Xebia Articles

Swimming With the Faster Fish

Posted by Gideon de Kok on Feb 6, 2017 1:26:15 PM

Being competitive isn’t about being bigger anymore; it’s about being swift and adaptable. It is not the big fish which eats the small fish; it’s the fast fish which eats the slow fish. What makes these newer players different as far as adaptability and agility go?

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Topics: Agile Software Development, Digital Strategy

Guidelines for a Successful Test Strategy

Posted by Dave Farley on Jan 25, 2017 2:35:38 PM

At LMAX where I worked for a while, they have extensive, world-class, automated acceptance testing. LMAX tests every aspect of their system and this is baked in to their development process. No story is deemed complete unless every acceptance criterion associated with it has a passing, automated, whole-system acceptance test.

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Topics: DevOps & Continuous Delivery, Test Automation & Quality

Not IT but Human Infrastructure counts for Digital Transformation

Posted by Dennis Kaltofen on Jan 20, 2017 11:08:19 AM

Most digital transformation initiatives put hard change factors, such as technology, KPIs, process, objectives and organizational structure, at the heart of their programs. These are all relevant, but if you want to create sustainable digital change and accelerate your digital business, it's people that matter most.

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Topics: Digital Strategy

Spotify-ing your organization

Posted by Max Mouwen on Jan 9, 2017 2:18:16 PM

Agile organizations, restructuring, digital transformations and digital innovators. Popular words at management meetings and dinner and drinks conversations. Many are currently closely monitoring ING to learn from the large-scale restructuring that the bank started in 2015, and the ING ‘Agile At Scale’ model that is its centerpiece. Simultaneously, we are all working hard on making the next step of our own journey toward digital hero status. There is no holy grail or a particular journey relating to becoming a more agile and innovative organization. This is one of the key conclusions of the event ‘Spotify-ing your organization’ hosted by Xebia on 24 November 2016.

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Topics: Digital Strategy

Conquer the world with Azure Machine Learning

Posted by Loek Duys on Jan 4, 2017 5:26:44 PM

What a great idea! You’ve decided to convert your brick and mortar store into an online supermarket. You’ll create intelligent business processes that will make shopping easy. They will allow you to run the web shop efficiently! You’ll make Amazon and Ali Baba jealous. Let's investigate how using Azure Machine Learning can help you.

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Topics: Cloud Infrastructure

Continuous Delivery 3.0: The next ‘next step’

Posted by René van Osnabrugge on Jan 4, 2017 9:29:05 AM

“Continuous Delivery is the logical evolution of Agile” - this statement was written by Kurt Bittner in 2013 in a report of Forrester. Back in those days Continuous Delivery was not yet as far in the hype cycle as today. In the Application Development hype cycle that Gartner presented in 2015, Continuous Delivery was on the rise and nowadays it is in every year plan of any IT-related company. But what exactly is Continuous Delivery, and what does Continuous Delivery 3.0 add to this concept and what does it have in common with Digital Disruption. In this article you will find answers to these questions and learn why it is important to look beyond the hype cycle.

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Topics: DevOps & Continuous Delivery

Solving hard data problems with causal data science

Posted by Walter van der Scheer on Jan 3, 2017 2:50:34 PM

“There’s lots of value in data analytics. But when the low-hanging fruit in a dataset is gone, it becomes harder to extract value from the data.” It is tempting for organizations to find biased answers and draw faulty conclusions, like mixing causation with correlation. In a recent presentation at the Meetup Business Experimentation, Adam Kelleher, lead data scientist at Buzzfeed, emphasized that this is not without risk.

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Topics: Big Data & Data Science

Applied Data Science: Bringing models into production

Posted by Giovanni Lanzani on Dec 13, 2016 12:08:17 PM

In Data Science, software quality often is an issue that prevents models to hit production. Issues like no automated data pipelines (including how to make the results available to the outside world), bad quality of code, or not enough attention to non functional requirements (like performance) are showstoppers for applied data science.

How can you successfully bring data science models into production?

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Topics: Big Data & Data Science

Case study Bakkersland: Predicting demand for fresh bread in supermarkets

Posted by Walter van der Scheer on Dec 13, 2016 11:47:58 AM

With a yearly turnover of 400 mil €, Bakkersland is by far the largest bakery in the Netherlands. Early every morning, the organization's 300 trucks deliver approximately 2 mil fresh baked breads to 1,200 supermarkets. To predict the consumer demand per-day per-retailer, Bakkersland asked GoDataDriven to develop a predictive sales planning model. This machine learning model optimizes the availability of fresh bread products while at the same time minimizes left-over. The sales forecast enables Bakkersland to produce more efficiently and plan further ahead.

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Topics: Big Data & Data Science

Why Managers should become Servant Leaders

Posted by Enrique Zschuschen on Dec 5, 2016 10:37:08 AM

Part 2 from Blog series: Organizations survive only by disruptive personal leadership

Agile doesn’t work”, I often hear managers saying so convincingly that I could really believe them. But when I listen more carefully, I hear something else. These managers are afraid to lose the privileges they have gained through their experience in managerial roles, not to mention their status and job. In this article, I address why Agile doesn’t work the way it is implemented today by elaborating on the psychology of managers and I explain how managers can optimally balance the ‘servant’ and the ‘leadership’ part in Servant Leadership.

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Topics: Agile Transformations