Bejo Zaden is experiencing tremendous growth, which necessitates new systems, professionalization of their Master Data organization, and the implementation of Data Governance. In this role, I support them in managing (Quality) Master Data within their Microsoft Business Central LIMS environment and establishing Data Governance.
Perfetti van Melle is one of the world’s largest manufacturers and distributors of confectionery and chewing gum. They create imaginative products and brands that are enjoyed in over 150 countries.
Recognizing the increasing significance of data governance after consolidating various business units into a single SAP S/4HANA infrastructure, Perfetti van Melle has made the strategic decision to enhance its data governance practices.
In my role as Data Governance Analyst I’m responsible for implementing proper data governance within Perfetti van Melle.
Perfetti van Melle is one of the world’s largest manufacturers and distributors of confectionery and chewing gum. They create imaginative products and brands that are enjoyed in over 150 countries.
Perfetti van Melle is migrating all their legacy (SAP)systems into one global SAP S/4HANA environment. In the challenging timelines set by the project the business was struggling with data cleansing and preparation for this migration. In my role as Data Migration Consultant for Supply Chain Benelux I supported the supply chain organization in their journey before, during and after the migration.
After a successful implementation of a new SAP and MOMS (MES & Specification Management) landscape the organization struggles with the complexity of the integrated Master Data. My role is to support the Master Data Stewards and Custodians in improving the data quality and optimizing their Master Data Management Process.
This exam tests knowledge and skill across all Data Management Body Of Knowledge Version 2 (DMBOKV2) knowledge areas. This badge is awarded for passing the exam at a grade of 70% or above.
Teijin Aramid produces various high-strength fibers for industrial purposes which finds applications in numerous markets, such as automotive (tires, hoses, belts), aerospace, civil engineering, construction, leisure goods (e.g. boats), protective clothing (bullet-, fire- and cut-resistant clothing), optical fiber cables, friction and sealing materials and more.
In my role as Master Data Consultant I guide the business in collecting and migrating data from various legacy systems to one new Specification Management environment.
Managing Master Data in a complex(system) landscape can be challenging, good Data Governance will support Data Maintenance.
Whether we’re talking internal documentation or external sources, data is everywhere – and the flood of data is only increasing. All that structured and unstructured information is the core of your information supply, but it doesn’t do you any good until you can transform all that data into valuable insights for your business. Are you overwhelmed by the huge volume of information? We would be happy to help you with data management.
Diagonal elements in visual communication are attention-grabbing. They look messy. In the case of text, the diagonal orientation makes it slower to read. Why is it, then, that many graphing tools default to diagonal labels when the x-axis becomes crowded? Or perhaps a better question: what can we do instead?
Only mention every 3th month, people are smart enough to fill in the rest, especially when adding some gridlines . Simple but elegant.
Soliciting feedback and iterating are incredibly important parts of the process for evolving our data communication skills. Getting good at giving feedback can also help sharpen your thinking in ways that ultimately improve your own work. As even more benefits, giving feedback in a constructive manner can not only have positive impact on the work of those to whom you give feedback, but also when it comes to effectively framing the feedback you’d like from others.
Thanks for preparing the 2019 Bank Index Graph, think you did a great job on collecting the data and making the first version of this graph. From the data it looks like we did not very well last year, we cannot hide this fact but we must make sure we present those figures in such manner it will not make things worse.
To be able to draft a decent picture it would be good to keep your audience and message in mind, could you please share with us who the intended audience is and what message you would like to convey? Is there a clear reason for the drop of our index in 2019? maybe we should explain this in a short guiding text.
Some initial feedback on your chart;
Hope this helps to improve your Graph, if you have any questions, please feel free to contact me.
Regards,
Conrad
PS. I’ve attached my try on visualizing this data, please feel free to build on that.
First, employ color sparingly to direct your audience’s attention to where you want them to look. Second, use words to tell your audience why you want them to focus there. This can be in your spoken narrative, written directly on the graph or slide, or a combination. These two simple things can go a long way in overcoming other issues. Perhaps it’s not the perfect graph type or there is some clutter present. But if you can indicate to your audience where they should look and why, this can still be a successful communication scenario.
In general the simpler the graph the understandable it is. I’ve removed the total (doesn’t add much if you want to highlight the event where Organic becomes bigger than Referral. Added a nice red circle to focus on that point. Put the labels in the Graph (in the rising and faling direction)
A frequent source of clutter in data visualization comes from unnecessary graph elements: borders, gridlines, data markers, and the like. These can make our visuals appear overly complicated and increase the work our audience has to undertake in order to understand what they are viewing. As we eliminate the things that don’t need to be there, our data stands out more. Let’s take a closer look at the benefit that decluttering can have on our data visualizations.
I’ve tried to find a solution to show lower is better without using words, unfortunately this makes a less appealing chart. Ended up with a clean smooth line chart. Maybe it could be improved by removing the legend and adding labels to the lines, only could not figure out where to put them so keep the legend.
The labels in the original are not adding much to the overall result, most important is the distance to the goal. Also removed the year from the months on the x-axis and added it to the title.
Words can help make data make sense. That said—which words we choose to use can vary a ton, depending on exactly who we are communicating to. In some cases, quick and dirty output directly from our tool might be totally fine, whereas other situations will call for an intentionally designed graph and widely accessible language. Let’s look at a specific scenario and explore the use of words given varying conditions.
When communication to the general public, a more generalized and simplified chart could be beneficial. when starting from scratch I would use Brand colors (at least for our winning brang) in the chart. Smooth it out a bit, maybe cheat by stopping at 10 months (the difference at 52 wk is minimal)
For now I have removed all detailed information which just distracts, added a clear title. Removing the legenda and put the product names in the chart will make it more visible which line is which. Counting in weeks is not something lot of people are used to, therefore changed the X-axis to months. Changed the Title of the Y axis to a more understandable metric (not completely factual but it conveys the message)
You’ve just completed a summer pilot learning program on science aimed at improving perceptions of the field among young elementary children. You conducted a survey going into the program and at the end of it, and want to use this data as evidence of the success of the pilot program in your request for future funding.
It is so tempting to use a pie chart when you have a limited set of data, the risk of faling back on the trusty old pie is the limited options to compare. For this challenge I’m falling back on an old favorite, the 100% bar chart. with two 100% bar charts it is easy to see movement over the whole range (especially when like in this case, using a scalable but not so exact set of categories.
Only not completely sure on the colors, I’m more used to a risk based approach in which the lack of excitement will be red and the more engaged/excited group will get the less exciting green. Also tried the les to more exciting yellow to red, this also didn’t work out as good as hoped. At the end I decided to just pick a color and do a scale from light to dark (probably the way I would do it when doing it in an environment where colors are limited by some sort of guideline.
The Material Master Data team within Astellas is facing a major challenge. With the implementation of a new Global SAP-S/4HANA environment the role of the EMEA Material Master Data Team is moving from a Regional to a Global role. With big historical regional differences in procedures, aligning data is not always easy. Good documentation will support a better understanding of Master Data Governance and Master Data Management.
In my role as Document Writer I’m using my experience in Master Data Management to challenge the organization to think about their processes before start writing a document.
Royal IHC is rolling out a new ERP system, moving from ISAH7 to IFS. In the same project a major update on the product life cycle management tool Siemens TeamCenter is implemented, including an interface from TeamCenter to IFS, this makes the way of working for the Material Master Data Team very different from the past.
With my Material Master Data experience in various systems and a engineering background I supported the MDM team in defining their new Way of Working.
Within Syngenta Master Data Management is complex, many tasks are outsourced. The translation from business requirements to workable request for the third-party service provider is crucial for successful Master Data Management.
The process of creating Master Data request involves a lot of repetitive actions and is based on a given set of possible choices. To simplify the request processing I was assigned the task to improve the used templates with data checks and request validation.
The more automation I could put in within the given timeframe and restrictions the better. This was a big challenge because from the beginning I was convinced it was possible to automate the process from start to end. Biggest limiting factor was the wish for the new tool to be fully maintainable by the MDM Team, this resulted in a decision on using Excel without VBA and any formula more complex than a VLOOKUP.
The final result was a stable and user maintainable tool built in Excel providing accurate suggestions on what to request and how to fill a request template.
Syngenta is a leading science-based agtech company. We help millions of farmers around the world to grow safe and nutritious food, while taking care of the planet. By improving crop productivity and making farming more efficient, we enable growers to provide healthy, high quality food safely and sustainably.
Within Syngenta Master Data Management is complex, many tasks are outsourced. The translation from business requirements to workable request for the third-party service provider is crucial for successful Master Data Management. With my previous experience as MDM Originator within Syngenta I was able to quickly fulfill an ad-hoc need for extra capacity in this team.
At the end of the year new (inter-company) transfer-prices are established and need to be loaded into SAP. This process is a joined effort of the Transfer Price Team and MDM operations and will be managed by the Client Engagement Manager.
Syngenta is a leading science-based agtech company. We help millions of farmers around the world to grow safe and nutritious food, while taking care of the planet. By improving crop productivity and making farming more efficient, we enable growers to provide healthy, high quality food safely and sustainably.
Within Syngenta Master Data Management is complex, many tasks are outsourced. Managing service delivery both on operational as on tactical level is crucial for successful master data management when third-party service providers are involved. In my role as Client Engagement Manager I was responsible for aligning business needs with the capabilities of the service provider by setting up meting structures, setting priorities and managing escalations.
At the end of the year new (inter-company) transfer-prices are established and need to be loaded into SAP. This process is a joined effort of the Transfer Price Team and MDM operations and will be managed by the Client Engagement Manager
For the Syngenta Flowers Turkey production plant a new way-of-working is about to be introduced. This new way-of-working requires new material master data and a major update on the already existing material master data.
In this project I was responsible for the Material Master Data design and implementation.
Syngenta is a leading science-based agtech company. We help millions of farmers around the world to grow safe and nutritious food, while taking care of the planet. By improving crop productivity and making farming more efficient, we enable growers to provide healthy, high quality food safely and sustainably.
Within Syngenta Master Data Management is complex, many tasks are outsourced. The translation from business requirements to workable request for the third-party service provider is crucial for successful Master Data Management. In the role of MDM Originator I have done various projects to improve the Data Quality and optimize the way of working with the third-party service provider.
Heineken is a Dutch multinational brewing company, founded in 1864 by Gerard Adriaan Heineken in Amsterdam. Heineken N.V. is the number one brewer in Europe and one of the largest brewers by volume in the world. Next to their brewing activities Heineken Netherlands also offers wholesale (soft drinks, waters, spirits, wines, tea and coffee) activities to the Dutch hospitality sector.
For this Wholesale division Heineken is Rolling out SAP. In my role as Support Consultant I’ve trained and supported end users in using this new SAP implementation.
LyondellBasell is one of the largest plastics, chemicals and refining companies in the world. Driven by its employees around the globe, LyondellBasell produces materials and products that are key to advancing solutions to modern challenges like enhancing food safety through lightweight and flexible packaging, protecting the purity of water supplies through stronger and more versatile pipes, improving the safety, comfort and fuel efficiency of many of the cars and trucks on the road, and ensuring the safe and effective functionality in electronics and appliances.
Within the IT Department the Vendor Relation and Services team is responsible for all vendor contact. In my role as IT Analyst I’ve worked with IT Managers and Purchasers on setting up budgets and monitoring external services.
Wärtsilä is a global leader in smart technologies and complete life cycle solutions for the marine and energy markets. By emphasizing sustainable innovation, total efficiency and data analytics, Wärtsilä maximizes the environmental and economic performance of the vessels and power plants of its customers.
Wärtsilä in the Netherlands supplies worldwide sales & services for the marine and decentralized power industry. As Purchaser for Wärtsilä Service Benelux I was responsible for setting up local Material Master Data and keeping local stock on an optimal level. As SAP Key User I’ve supported local SAP users and participates in various Projects.
HAWE Systems Europe BV has been a specialist in internal logistics and internal transport systems for greenhouse horticulture for over 50 years. We are the market leader in internal transport systems. As purchaser my main responsibility was to ensure a steady supply of required technical parts for production and installation.