Covid-19: Behind the mask

Covid-19: Behind the mask

Nothing new came forth but it would have enhanced prior knowledge if considered before.

A few weeks after the outbreak of the covid-19 pandemic, it makes sense to draw a first conclusion of what we’ve seen and heard from industry players and we tried to summarize some of our core findings. Basically, nothing new popped up and everything was already part of previously published research and findings. However, the last few weeks and months demonstrated the difference in launching (digital) initiatives without clear purpose or because you really want to drive change in order to manage operations, build resilience to survive or even accelerate business.

Cross-company perspective

The past few months have shown us the benefits of digitization on the shop floor and how relevant it is, when trying to keep everything up and running in challenging times. For example, a high level of  automation on the shop floor helped to keep the production up and running with minimum or even without employees necessary on site. Accessing assembly lines in remote locations from your headquarter or from home did provide additional benefits for enterprises and supported resiliency

However, the crisis also showed us the limitations of today’s approaches – that the strength of a value or supply chain is not only dependent on the grade of digitization of one member but on the whole chain. Therefore, in future it will be necessary to think across the pond when digitally transforming businesses or value chains and include suppliers, partners and customers in your thinking and projects.

Establish & accelerate your data-driven business

Offering value-adding services to your products or even establishing new business models helps to diversify your business. For example, platform or subscription-based data services can decrease the volatility of a company’s revenue.
One especially interesting example in these challenging times is the Pay-per-Use approach. It can help a manufacturer to establish an additional sales channel, which does not impose a high investment barrier from a customer. On the other side the customer gets maximum flexibility, when scaling production up and down according to the volatile demand.

According to a Forbes study, 89% of the interviewed CIOs expect to have revenue-generating responsibilities and 2/3 of the CIOs in the manufacturing sector expect to head a profit center by 2025 and create new products/services contributing to the bottom line.

However, establishing and accelerating your data-driven business in a scalable and global way comes with several challenges that we, at Tributech, aim to address. I would like to highlight two of them which will increase in importance. The first is the so called “willingness to share” which is necessary when scaling your data-driven service or business model across your customer base. The other one is the trust in shared data from sensor to consumer for being able to rely on shared data which will be one of the key requirements for data-driven services and business models – no matter if the data is used for decision-making, documentation, triggering payments or referenced in legal agreements.

Managing data like corporate assets

As data is the necessary foundation for all of these mentioned learnings, companies need to derive a “data asset strategy” from their general company’s strategy in order to align management and handling of data with the future value creation process. This derived strategy will also help companies to better define data security & sharing policies, allocate data-related budgets and investments based on the strategy and it also assists in  demonstrating a true transformation to a data-driven future for all involved stakeholders.

At Tributech, we believe that a company’s strategy depends more and more on deriving value from data. The management, the board and also the investors should (and will) keep an eye on a new asset class – the data portfolio of the company.


Curious? Talk to us!

Tampered IoT Data – The “fake news” of the Industrial IoT

The rising amount of collected IoT data, the trend towards data-based decision-making and new data services increase the risk of being vulnerable to manipulation. Therefore, companies should implement countermeasures to prevent IoT data form being tampered and build their data services and IoT platform on a trustable foundation.

Covid-19: Behind the mask

Nothing new came forth but it would have enhanced prior knowledge if considered before.
A few weeks after the outbreak of the covid-19 pandemic, it makes sense to draw a first conclusion of what we’ve seen and heard from industry players and we tried to summarize some of our core findings.

Alexander Sztatecsny – new COO of Tributech

Alexander Sztatecsny, who has been working in different areas of Digitalization across the value chain for most of his business life, has recently joined the team of Tributech as COO and Managing Partner and will work with the team to elevate the business to the next level.

Opportunities of Native Supply Chain Automation

Opportunities of Native Supply Chain Automation

The industry likes to adorn itself with terms like digitization and automation. Digitization, in particular, is often praised as a miracle cure that simply wipes away all the problems of outdated processes – virtually automatically.

The problem here is that companies tend to do some kind of pretended digitization. In many companies, it is much more a case of pretended digitization for marketing purposes than of genuine digitization, which helps the company to make the leap into 2019. In general, many myths rank around the subject of digitization and not always the built-up hype is justified. Bain & Company has broken down 4 of the biggest myths around this topic. How do you recognize such a pretended digitization? Have you ever walked through a warehouse where employees manually entered the results of their last work steps into the digital system? Yes? Then you now know that these processes were not fully digitized. If digitization does not completely replace manual processes, then digitization is actually just throwing money out of the window. On the one hand, the changes actually carried out cost a lot of money, and on the other hand, the resulting increase in efficiency is kept within limits by the manual intermediate steps. Do not rely on partial digitization. Instead, create a clear roadmap to a complete automation of work processes. Think about logical steps to gradually adapt your outdated system to current technical conditions.

Perks of Native Supply Chain Automation

Only when you have a clear plan and a clear path to automation in mind, you are able to really benefit from the huge advantages of Native Supply Chain Automation and use them as an advantage in the head-to-head race with your competitors:

  • Real efficiency gains through manual process automation
What’s slower than manual work? Exactly! Manually performed work steps that are digitized after execution. Make sure that you really digitalize the work process completely – including the entry and evaluation of the work results.
  • Real-time data exchange
All parties involved in the supply chain can exchange data in real time, so that they can work together meaningfully and effectively despite geographical separation. Once a step has been completed, other processes that depend on that step can be started immediately. Thus can reduce or even completely eliminate waiting times in production. And as we all know: Time is money.
  • Reduce risk by reducing manual processes
Where people work, mistakes happen. Although this also applies to machine work, the error rate is significantly lower than for work steps carried out by people. The reason for this is quite simply that your digital system can handle large amounts of data much better than the human brain. The logical consequence of this is that you can reduce the number of manual steps in your supply chain, especially those involved in data entry and transfer, and at the same time you are able to reduce the number of sensitive sources of error.
  • Optimise time-to-insight-result for faster decision making
Thanks to Native Supply Chain Automation, data-based decisions can always be made quickly – even if different locations or companies are involved in the supply chain process. All parties always have access to the latest data and results from different work steps and do not have to wait for answers from other parties. This can be a significant advantage over the competition.

How Tributech can help

At Tributech, we help you to automate your supply chain natively with a well thought-out system. We ensure the following factors:

  • Interoperability without privacy and security tradeoffs
Our solution offers standardized interfaces for peer-to-peer exchange of data in different types and formats, metadata to provide semantic and proofs to provide data verification capabilities of consumed data – regardless of the used system. In this way, business data, sensor data or process data can be exchanged natively and without the security and privacy tradeoffs from centralized systems, which becomes highly relevant in case of sensitive business or process data.
  • Role-based data access management
Always stay the master about your data in a networked system for data transfer! You only ever release the data to those persons who really need it. This fine granular data access management is made possible by a role-based rights system. So you and your partner companies always have control over sensitive data and the basis for a trusting cooperation is created.
  • Data Security and Credibility
Through the integrated blockchain-based trust layer, we ensure the integrity and authenticity of the exchanged data. This checks whether the data originates from the correct source and has been transmitted unchanged. This type of capture control provides you with an incoming security and credibility check for all transmitted data assets, which subsequently ensures auditability and effective search for possible sources of error in the event of damage.

Curious? Talk to us!

Tampered IoT Data – The “fake news” of the Industrial IoT

The rising amount of collected IoT data, the trend towards data-based decision-making and new data services increase the risk of being vulnerable to manipulation. Therefore, companies should implement countermeasures to prevent IoT data form being tampered and build their data services and IoT platform on a trustable foundation.

Covid-19: Behind the mask

Nothing new came forth but it would have enhanced prior knowledge if considered before.
A few weeks after the outbreak of the covid-19 pandemic, it makes sense to draw a first conclusion of what we’ve seen and heard from industry players and we tried to summarize some of our core findings.

Alexander Sztatecsny – new COO of Tributech

Alexander Sztatecsny, who has been working in different areas of Digitalization across the value chain for most of his business life, has recently joined the team of Tributech as COO and Managing Partner and will work with the team to elevate the business to the next level.

Are you facing one of these 3 problems in your supply chain?

Are you facing one of these 3 problems in your supply chain?

The complexity of supply chains has risen continuously in recent years. Where previously communication between different departments within a company had to be managed in order to manufacture a product, today the monstrous task of managing international company headquarters and business partners or parts suppliers and making every step traceable is faced.

In this blog post we want to list 3 frequently occurring problems – and present a possible solution.

#1 – No traceability possible in your supply chain

In a globalized supply chain, a finished product often requires different work steps by different employees from different companies in distinct countries. Each of these steps generates data – even if it is sometimes only the date and time of the arrival, processing and transfer of the product. Many of these data either become relevant in the further course of production or provide important information regarding possible process optimizations. In order to be able to trace precisely data, we are faced with the challenge of finding new solutions. Much more often than one might assume, data acquisition and transfer is still done manually. This often occurs, for example, when traceability is only used for marketing purposes. An example: The apple that comes from controlled organic cultivation in your home country. Well, does it ring a bell? The problem is that this results in pseudo traceability, which can be marketed quite nicely, but the company itself loses some decisive advantages. And not only that: it can even cost a lot of money, as we will see with the second problem.

#2 – High costs in case of damage

Do you work in an industry where cold chains have to be maintained or where fragile objects are processed? Then you have been faced more than once with the task of tracing almost inexplicable cases of damage. This often leads to two problems: Nobody wants to pay for the reimbursement – and the real cause cannot or only with difficulty be found out – especially if one or more of your partners along the supply chain refuse to participate actively in the clarification. And even if all parties are willing to participate in the clarification – the effort must always be compared with the benefit. One must estimate therefore, how high the developed damage is and how large the probability is that it appears again. If both values are too low, the case will probably never be clarified – and somebody will still have to pay for the damage. Wouldn’t it be nice to have sound, automatically generated and unalterable data available to every company involved?

#3 – Lack of interoperability in your supply chain

One of the biggest problems in modern supply chains is that many of the sensitive data cannot be processed by every participant in the production process. Often different systems are used that are not compatible with each other – interfaces have to be created. The lack of interoperability in your supply chain becomes a problem when we think of documentation. In sensitive industries, such as aircraft construction, every work step must be precisely documented for each individual part. There are guidelines to which each individual unit in the production process must adhere, and strict documentation that must be carried out. Here, every unit has to work precisely and transparently, otherwise the result could be a catastrophe.

Blockchain – an often proposed solution

“Blockchain” will now be written enthusiastically by many when it comes to solving the above-mentioned challenges. In reality, the blockchain is only half the battle here – it simply does not solve the whole problem. A blockchain is nothing more than a database distributed over several systems that allows all participants in the network to read data and insert new data. And it is not even particularly efficient or fast, which is why we recommend not to store full data records in it, but only references.

What it really takes

The problems mentioned above are not solved by blockchain, because the storage of the data is not the real challenge – tricky are rather the exchange and the backup directly from the data source. On the one hand, data transfer must ensure that data is not manipulated, and on the other, despite networked systems, every company should remain the master of its data. Only the data necessary for the supply chain process should be passed on. A kind of neutral intermediate layer has to be created through which companies can securely exchange their data.

For secure and traceable data transfer, we at Tributech provide two interfaces: an interface directly where the data is generated (on the device) and an interface in the cloud / on the server via which the data can be made available via channels to other companies and information is passed on that guarantees the integrity and authenticity of the data to the other participants. Based on a blockchain, where we store references to the data (hashes), we as Tributech provide the technology to ensure that data remains correct from the source to the data consumer. This way, real traceability is created, which saves you time and money instead of just being usable for marketing purposes.

Are you ready for a new chapter in supply chain management?


Curious? Talk to us!

Tampered IoT Data – The “fake news” of the Industrial IoT

The rising amount of collected IoT data, the trend towards data-based decision-making and new data services increase the risk of being vulnerable to manipulation. Therefore, companies should implement countermeasures to prevent IoT data form being tampered and build their data services and IoT platform on a trustable foundation.

Covid-19: Behind the mask

Nothing new came forth but it would have enhanced prior knowledge if considered before.
A few weeks after the outbreak of the covid-19 pandemic, it makes sense to draw a first conclusion of what we’ve seen and heard from industry players and we tried to summarize some of our core findings.

Alexander Sztatecsny – new COO of Tributech

Alexander Sztatecsny, who has been working in different areas of Digitalization across the value chain for most of his business life, has recently joined the team of Tributech as COO and Managing Partner and will work with the team to elevate the business to the next level.