Author Archives: Gloria Quintanilla
As we step into 2017, we took some time to reflect on the most popular posts on our Supply Chain blog last year. Trending topics included S&OP, Prescriptive Analytics, Supply Chain Optimization, Supply Chain Centers of Excellence and Supply Chain Analytics. What are you interested in learning about this year? Let us know in the comments and check out the curated list of our most well-read blog posts in 2016: Continue reading »
This month, we hosted a Data Visualization webinar with bestselling author Cole Nussbaumer Knafflic. Cole wrote the popular book “Storytelling with Data” and is also known for her blog. She’s worked at and with some of the most data-driven companies on the planet, including Google, Adobe, Genentech, JPMC, Target, and the World Bank. She also works with organizations and individuals to help them become more effective data storytellers through workshops. We had a chance to talk to her about some best practices for effective data visualization leading up to the webinar. In this short interview, she shares some of her trade secrets and a sneak preview of what you can find in her book.
- How do you define storytelling with data?
For me, storytelling with data is the communication step of the analytical process. Let’s consider the analytical process. Perhaps you start off with a question or hypothesis. Then you have to gather the data and clean the data. Next, you analyze the data. At that point, it’s easy to throw it into a graph and be done. But that graph is the only part of the whole process that your audience sees. So it deserves at least as much—perhaps more—attention compared to the other parts of the process, and yet is so often overlooked or given the least amount of time. To take that a step further, my view is that you should never simply show data. Rather, you should make data a pivotal point in an overarching story or narrative. This helps it make sense to your audience, makes it resonate and can help make it stick. This is storytelling with data.
Big data, analytics, BI…Everyone in business today has heard these terms at some point, and yet the path to analytics-driven business improvement remains somewhat elusive. We spoke with Keith B. Carter, Actionable Intelligence Expert and Decision Sciences Visiting Senior Fellow at the National University of Singapore Business School and Affiliate Professor Business Analytics Center, to unravel some of the difficulties managers face while embracing an analytics culture and discuss some best practices for success.
Keith is a global supply chain operations leader with over 16 years of extensive global experience in the Cosmetics-Beauty, Government, and Financial Services industries. He has managed teams across continents – from the United States to Belgium and Singapore. Previously, he worked at Estée Lauder in a variety of global supply chain roles, and Accenture in financial services and government. His book. Actionable Intelligence: A Guide to Delivering Business Results with Big Data Fast!, provides expert guidance to establish a culture of fact-based decision making and appropriate high-speed governance.
Precise means being exact, accurate and careful about details. The difference between good and great. As we discussed in our recent Supply Chain webinar, this is not an easy task if you have a lot of fluctuating demand and uncertainty in your production process. During the webinar, Paul Coombe (Supply Chain Director at Nampak Glass) shared his insights on making the best possible use of your production facilities and optimizing the way you respond to changes in demand. This is particularly difficult at Nampak, a business that aims to produce 350 tons of glass per day while managing different production processes for different bottle types and maintaining customer service at a profitable level. The interview below summarizes how Nampak tackled this challenge.
Papyrus, a leading European paper wholesaler, started using AIMMS in May 2014 to implement radical changes in its supply chain network and re-envision its forecasting, replenishment & supplier management workflow. The company’s supply chain supports more than 68,000 customers in 20 countries from warehouses and cross-dock platforms strategically located across Europe. Historically, every region was served by a warehouse that stocked an estimated amount of paper to meet local demand. Suppliers delivered to approximately every warehouse, with long lead times of four to five weeks. Due to high MOQs and fragmented demand spread out across a large number of warehouses, deliveries were infrequent. This was a high stock solution which the company could no longer afford due to a secular decline in the demand for paper and the global economic crisis. To overcome this challenge, the company would need to embark in a supply chain transformation journey to reduce cost and inventory while improving availability.
A recent report by the ACE European Group identifies supply chains as of the biggest sources of concern for European businesses today. On the one hand, companies are facing growing uncertainty due to volatile exchange rates, rising oil prices and economic and geopolitical events, such as Greece’s financial crisis and the conflict in Ukraine. On the other hand, there is a rising need for smarter and more flexible tools as well as more staff with analytical capabilities. This post will explore these and other challenges as well as the key innovations defining European supply chains.
Since we started this blog, we’ve been exploring how supply chain optimization can aid the decision-making process and bring organizations better results. We have covered a multitude of methods and techniques applied in the pursuit of supply chain excellence, and have discussed some of the most pressing challenges faced by today’s business leaders. Today, inspired by our mission to bring the benefits of optimization to society as a whole, we will look at 4 inspiring AIMMS use cases which leverage optimization technology not only for business advancement, but for the greater good. Continue reading »