Category archives: AIMMS
The first half of this year has flown by and for many of us, it’s time for a much needed vacation. We’ve put together a new reading (and watch) list for this summer to help you gather some refreshing ideas as you gear up to plan for 2018. The list includes the best of our blog and news items, our latest webinars and most recent case studies. It’s the perfect companion for an inspiring holiday break!
Best of our Blog:
- 3 compelling reasons to start using Prescriptive Analytics: AIMMS’ SVP, Gertjan de Lange, discusses 3 major reasons businesses are feeling more compelled to adopt Prescriptive Analytics, a form of advanced analytics that uses techniques like machine learning and mathematical modeling to help you improve decision making.
- AIMMS featured in IT Subway Map of European Supply Chain Software Providers: We’re proud to report that we’ve been featured in 5 different subway lines, or software categories, in this year’s IT Subway Map of European SC Software Providers. Looking for a software provider for Business Analytics, S&OP, Inventory Optimization, Production Planning & Scheduling or SC Network Design? Browse the map and you’ll find yourself in our stop!
- Supply Chain Network Optimization Technology is ripe for disruption: Network optimization software has become a big business that’s experienced exponential growth. There has been strong adoption of boxed solutions that are feature rich with many bells and whistles. Why hasn’t it become cheaper or easier to have an optimized network? Chris Gordon, AIMMS VP North America, discusses this on our blog.
- Why you don’t need perfect data to start implementing S&OP: To truly leverage S&OP to improve business performance and predictability, you need to embark on a change management process and you need the right technology to self-enable your team. Often, teams think they also need plenty of clean and accurate data to do it right. But starting small can pay off, as Boon Edam’s Aron Waas (Global SC Director) explains in our recent blog post.
- Companies in Asia Pacific eager to innovate with Supply Chain Optimization: The adoption of advanced analytics has moved at a much slower pace in Asia Pacific compared to Europe or North America. But the tide is turning, as Lei Wang, AIMMS VP Asia Pacific, explains in this blog post.
If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term Prescriptive Analytics. Prescriptive Analytics is a type of Advanced Analytics that results in a recommended action. Unlike Descriptive (focused on reporting with basic trend or pattern recognition) or Predictive Analytics (focused on predicting the future with forecasting techniques), Prescriptive Analytics uses techniques like machine learning and mathematical modeling to help you improve decision making.
Prescriptive Analytics is at the cutting edge of data science and companies are increasingly interested in exploring its benefits. According to Gartner’s Forecast Snapshot, the Prescriptive Analytics software market will reach $1.1 billion in value by 2019. About 35% of companies are expected to adopt this type of analytics by 2020, but what exactly is driving adoption? AIMMS has been in the business for more than 25 years. Over time, we’ve identified 3 major reasons businesses feel compelled to adopt Prescriptive Analytics. Let’s explore them further.
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 »
Internet of Things (IOT), Cost-to-Serve, Segmentation and Supply Chain CoEs are unable to deliver promised business value without Prescriptive AnalyticsPosted on November 08, 2016 by Chris GordonLeave a reply
Gartner’s Hype Cycle for CSCOs is a valuable read for current and potential Supply Chain leaders. It brings together a long list of trends, enabling technologies, business frameworks and competencies that should be in your consideration set. The big theme of course, is the digitization of the supply chain and the implications it will have on business performance. What seems very clear is that if you’re not planning to jump aboard this train very quickly, you’re going to have what will appear to be a stone-age supply chain within 5-10 years.
As a Gartner recognized Prescriptive Analytics software company, we’re most interested in all things digital that have analytical flavor by nature. We see our clients deliver strong value from digital innovation, but only when organizations have the knowledge and technology to do things differently. This requires Prescriptive Analytics, a type of advanced analytics that results in a recommended ACTION.
In other words, for digital transformation to succeed, organizations need to be able to “take action” based on their data. Let’s take a look at some of the competencies mentioned in Gartner’s report so I can provide evidence to back up this outrageous statement.
In a time when the term ‘disruptive’ is being over-used I find myself increasingly using the term when describing the impact of our product to clients and prospects.
It’s uncomfortable because prior to starting with AIMMS two years ago, I spent 20 years in consulting and IT services and experienced many terms being over-used (such as ‘optimized’ or ‘disruptive’). I promised myself that I’d endeavor to never use a meaningful term in a superficial way.
The Brexit is a reality and with it, companies in Europe are facing even more uncertainty than before. There is serious concern that the UK’s decision to leave the EU will bring further destabilization and economic risks. How will it impact your supply chain and your bottom line? This article discusses 5 key things supply chain leaders should consider post-Brexit. It also explains how analytics can help you determine the best way forward. Specifically, I will explore how Prescriptive Analytics can help you improve decision-making and make data actionable in an increasingly volatile economic landscape, instead of only providing insight into your data’s behavior.