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.
Topics: Digital Strategy
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.
“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.
“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.
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?
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.
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.
Topics: Agile Transformations
Excellent is the average of tomorrow. Organizations have to speed up, cooperate flawlessly and be able to release quality software into production whenever they want. Only then will they be truly successful and stay ahead of competition. One crucial prerequisite is smooth cooperation between business and IT. One often hears that business doesn’t understand “why IT just doesn’t deliver the features we’ve asked for” whereas IT finds that “business should do their work properly by articulating clear requirements.” This traditional business and IT gap still is present in many organizations – ultimately causing these organizations to slide back from excellent to average.
Software development is an inherent social activity. Put a group of great minds together, each from their own discipline, and see how innovation can flourish. In high performing agile teams, bottlenecks are really not what one wants. And surely no ‘business bottlenecks’. A lack of innovative ideas, poorly specified epics or user stories will put the software development team machine to a grinding halt. Luckily, solutions exist that can act as catalysts or even fuel the machine: behaviour-driven development tools.
Part 1 from Blog series Organizations survive only by disruptive personal leadership
How do organizations survive nowadays in the new digital age? The successful execution of management and leadership, which is essential hereby, has been subject to constant change over the years. We are currently reaching a critical crossover point again, which means that consequently a large portion of the current managers will probably be no longer successful in the near future. In my blog series “Organizations survive only by disruptive personal leadership”, I try to elaborate on the behaviors that made leaders big and important but don’t work anymore. Step by step I try to work towards a solution for this problem from a leadership point of view. Read more about how passion makes you a better leader and how entrepreneurship becomes a central focus within organizations again. Moreover, learn how the ‘Manager’ role herein transitions to ‘Leader’…. And find out why it doesn’t work yet.
Topics: Agile Transformations