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Explore how manufacturing companies such as Henkle and Arla use ORTEC's solutions to increase their truck utilization, lower shipment costs, and improve their customers experience on the 1st of December 2022! Head to the link below & reserve your spot!
Date: 1st of December 2022
Time: 16:00 – 16:30
Location: GoToWebinar event
Together we can achieve more. This is evident from ORTEC's relationship with Achmea and the impact we make together. In 2019, we started an enterprise-wide data and analytics program to find an answer to Achmea's main question: "We're creating a lot of value with data & analytics, but how can we do so in a more scalable way?" This leads us to answering more in-depth questions such as:
In this article we share the success factors that we have jointly learned along the way: 6 tips for scalable impact with analytics.
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An interview between Achmea & ORTEC: Arjan Juurlink, Manager Data, Information Management and Architecture at Achmea, Marc Hoetink, Senior Manager BI Delivery at Achmea, and Rianne Langenberg, Business Strategist and Creative Changemaker at ORTEC.
* Achmea is one of the largest suppliers of financial services - mainly insurance - in the Netherlands.
Sustainability, e-commerce growth, and deglobalization are only some of the trends impacting dairy today. At the same time, companies have to adapt faster to disruptions, like the COVID-19 pandemic. What does the dairy industry landscape look like? What are the most significant analytics and logistics trends in dairy? Discover more in this article.
Many organizations use SAP ERP to manage replenishment and customer orders. Typically, they extend SAP ERP with SAP Advanced Planning and Optimization (APO) for forecasting purposes, and SAP Transportation Management (SAP TM) to plan freight units and freight orders. Often, they also use the Transport Load Builder (TLB) module (part of APO), which builds transportation loads based on pre-defined parameters such as weight and volume.
By Dick Zijlstra
In one of my previous blogs 'E-commerce Profitability: is your daily carton selection process up to the challenge?' we investigated whether improving the shipping carton selection on a daily basis could have a measurable impact on bottom line profitability of the e-commerce operation. The answer is a resounding YES!
By Dick Zijlstra
Read how a personal experience led to the discovery of a smart way to reduce e-commerce fulfilment costs in every step of the supply chain.
By Dick Zijlstra
Next to commercial environments, business analytics can also solve problems that exist in humanitarian fields. In fact, it's making a substantial contribution to reducing hunger: the use of analytics has saved $150 million so far; enough to feed two million people for a year.
In this interview with Hein Fleuren, professor of Applied Business Analytics and Operations Research at Tilburg University, we take look at how analytics adresses the world food problem and other possible applications in the field of humanitarian aid.
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In the 'Three questions for...' series, we’re asking leading scientists in data, technology, and artificial intelligence how science can contribute to today’s challenges. Together with you, we aim to discover how we can turn theory into practice, making use of scientific research to make the world a better place.
September 19, 2022
ORTEC`s Data Science & Consulting department in the Netherlands has partnered with Stichting Present. Thanks to over 150 employees joining this initiative, we are spending about 450 hours on voluntary work with a social impact throughout the Netherlands. It’s a win-win: to spend some time with those who could use some help in some way, is very rewarding and a way to contribute to a more livable society. For some of the people in need, it can make a big difference.
Watching the news lately shows on the one hand devastated families who have been ruined by the AI-based systems used by the Dutch Tax and Customs Administration to identify fraudsters. On the other hand, it shows how someone leaves the hospital visibly relieved, after the MRI scanner’s AI-driven algorithm caught their cancer at a very early stage, making it possible to intervene in time and with minimal damage caused. Both are examples of the use of AI. But also, both would not or barely happen anymore if stricter AI legislation were to be introduced. The Dutch tax authorities would then – fortunately – no longer be permitted to use profiling software, but the flipside is that it might become illegal to use medical data to further improve the MRI scanner’s algorithm. Crafting sound legislation therefore puts us in an impossible quandary: how do we throw out the negative sides of AI while hanging on to the positives? As Professor of Decision Sciences Marc Salomon replies: “It is precisely this quandary that makes putting in place the right legislation so very tricky.”
An interview with Marc Salomon, professor at the University of Amsterdam.