Turn your challenge into an opportunity for future success. Our experts recommend the following steps to accelerate supply chain digitalization and end-to-end transformation of your supply chain:

Start supply chain digitalization from a solid planning foundation

To realize robust end-to-end transformations it is key to start from a solid supply chain foundation. Start by developing an optimal planning model that translates strategy into operational planning principles. Understand the value drivers in your supply chain and define well connected planning processes and a matching organizational setup to facilitate high value planning decisions. Your process re-design needs to be focused on E2E connections, linking the different layers of planning and control of your supply chain through smart alerts.

Focus on high-quality data and planning parameter automation

A holistic planning model and integrated planning process require robust and well-integrated data structures to drive execution. A well-defined data model and supportive governance processes across your IT landscape are vital to secure setup, maintenance, and right-sizing of your planning parameters. It all starts with having a complete, accurate, and well-aligned master data fundament. Building on this solid baseline you can have the data work for you to build a process for smart-touch automation of your critical planning parameters. As your supply chain develops you can real time update your vital parameters to improve overall planning accuracy.

The full value of advanced planning solutions

A new generation of planning systems promise embedded cognitive automation to make real-time recommendations, predict outcomes, and take timely supply chain decisions. It is crucial that your functional design supports the E2E planning process, connects well to your enterprise-wide data model and allows progressive digital innovations (such as AI and advanced analytics). To realize the full value of your APS (advanced planning and scheduling) system you need to build the right in-house capabilities. Your planners require the right data processing, analytical, and data science skills to operationalize and embed digitalization into the day-to-day planning routine.

Building a digital ecosystem

If you are ready for the next step, look beyond traditional planning systems and investigate how systems of innovation can help to boost planning capabilities in a digital ecosystem. Data science platforms like Dataiku can bring advanced analytics capabilities in-house quickly and can be plugged into the systems that are already in place, like ERPs (enterprise resource planning), APSs, or data lakes. These systems of innovation allow data scientists to make the most out of their expertise, allow for easy collaboration between them and the business, and enable you to go from prototype to production quickly but robustly. Building an ecosystem of digital capabilities will help your organization to accelerate the digital transformation through the implementation of focused innovations.

We are here to support you in your supply chain digitalization journey!

Are you looking for ways to accelerate the digitalization of your E2E supply chain planning process and are you in need of the right expertise and hands-on support to make it happen? We are here to help you in this journey. Together we transform, automate, and optimize. Learn more about E2E transformations or contact us now!

This is the time to build resilient, agile, and sustainable supply chains, maximizing the benefits of digitalization and advanced analytics.

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Turn your challenge into an opportunity for positive change! For example by using advanced analytics on supply chain data. Our experts recommend the following considerations to get the most out of your data:

Where can advanced analytics in supply chain have the biggest impact?

The key opportunity that you can unlock by using your data better? Reducing latency. Quicker data collection, better dashboards, and suitable tools help you get the right information on the right person’s desk at the right time – dramatically reducing the delay from event to decision, and thereby dramatically increasing the impact of your decisions. Create a first project where you demonstrate the impact of exploiting supply chain data using advanced analytics, and your data journey will be off to a flying start.

Implement and use specialized apps

Previously, companies’ data systems were composed of monolithic systems that executed rigid ERP and APS processes. These days, ever more companies see the benefits of using niche tools to solve specific challenges. Such tools can be implemented quickly: typically they are web-based and require minimal effort from IT. They provide virtual immediate return on investment and help your company go from ‘updated in the weekly batch run’ to ‘the live status’.

Add systems of innovation to your landscape

If you’re ready for the next step, look into systems of innovation. Data science platforms like Dataiku can bring advanced analytics capabilities in-house quickly. Such systems can be added to your software landscape, connecting to the systems that are already in place, like ERPs, APSs, or data lakes. These allow those hard-to-find data scientists to make the most out of their expertise, allow for easy collaboration between them and the business, and enable you to go from prototype to production quickly but robustly.

Start a center of excellence

How can you make your digital transformation sustainable? How do we take a quick once-off improvement project and turn it into a sustained mindset change towards the digital age? In all industries, companies are starting ‘centers of excellence’. A center of excellence brings together a team of data scientists, data analysts, and business experts with the purpose of using their shared knowledge to accelerate innovation initiatives throughout the broader organization.

We are here for you!

EyeOn’s team specializes in taking your data and turning it into insights and recommendations. We can help you at every step of your data science journey: whether it is an assessment of forecasting or inventory management, forecasting a volatile portfolio using machine learning, or optimizing your inventory across all echelons of your supply chain. Explore our data science offering!

EyeOn Planning Services combines years of industry experience and know-how with cutting-edge data science techniques, analyzing your data and converting it into actionable insights, providing you with the tools you need to steer your business. Or ask for our help in kick-starting your center of excellence with one of our experienced data scientists. Learn more about Planning Services!

This is the time to build resilient, agile, and sustainable supply chains, maximizing the benefits of digitalization and advanced analytics.

The post How to exploit data using advanced analytics in supply chain appeared first on EyeOn.

This is the time to build resilient, agile, and sustainable supply chains, maximizing the benefits of the digitalization and advanced analytics.  

Our experts have identified five key trends for 2022.

Turn challenges into opportunities by clicking through our 5 key trends:

The post Let’s tackle the supply chain challenges of 2022! appeared first on EyeOn.

Companies need to advance data collection by building a digital twin, implement new tools that allow for more advanced analytics, prepare your organisation and build a data driven culture.

Undeniably, analytics is changing forecasting and supply planning processes – but quite some water has to pass under the bridge before companies will get to full no-touch planning. Start with developing a vision, select a business process to work on and take it from there by running projects to explore benefits and get acquainted with data science tools that go beyond the existing planning tools, build capabilities, KPIs and data.

If you want to know more about supply chain planning and forecasting in the digital age, read our white paper! Or get in contact with Freek Aertsen. 

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