A clear view across all the complexity
Taking the steps towards investing in and running systems to manage data and digital assets is not easy. For each project to succeed, it is needed with a clear direction.
Existing platforms need constant attention to be improved by focusing on the underlying workflows and integrations inbetween system components.
The ever-growing possibilities with AI require an even greater focus on structure and data modelling to ensure actual quality.
But where to start?
The InLoad approach to data advisory
The cross section where people, process, business, and technology meet.
It all comes down to people
At InLoad, we believe that processes precede systems. At the core of any data process, even those involving AI, there are people. Therefore, any review of a master data management setup must start by creating an overview of the core workflows that the setup helps to support.
A method to do so is to trace the product’s lifecycle and handling across the organization from a master data perspective.
Understanding how people actually work and how it attributes to the total cost of a product is the foundation for making informed decision about changes to processes, data models, and system landscapes.
Hit the ground running
InLoad is as both a platform as well as data professionals a deeply integrated part in the value chain. We know it from the inside for many years and do not need to spend much of your valuable time and resources to understand, how your business operates.
InLoad will bring best practices into the advisory process from the beginning based on how modern and highly effcient companies run modern and highly efficient master data processes.
InLoad Advisory therefore aims straight towards identifying the relevant and real improvements with no valuable time and resources wasted on unnecessary steps and project management.
We are not selling PIM, DAM, or MDM systems
But we know them all! And we have seen hundreds of ways systems have been implemented and run within hundreds of organizations – with or without success.
For InLoad, the aim is never to replace an existing system – unless there are significant workflow improvements or business advantages to be gained by doing so.
Of course – if the advisory project is focused on identifying a new platform or solution, we will do so! And that specific advisory will be based on deep insights into how the various systems work, and which system will support the needed workflow and/or system landscape integration needs the best with no hidden agendas.
Six good reasons to choose InLoad data advisory
1. You know what is needed
We help you get there. InLoad every day automates data flows between manufacturers, distributors and resellers. We know the exact data models and requirements for almost any product out there.
2. InLoad works with master data and system integrations every day
This is the whole foundation on which InLoad operates!
3. We know what a value chain is
InLoad has been supporting the flow of data and files to support the flow of products for many years. So we know where to look for improvements.
4. We know the tasks and roles already
Because we work with people managing data every day! It only takes a few moment to understand what a given role is in charge of. And to suggest smarter ways of working.
5. No time wasted on unnecessary project management
The advisory concept is based on senior people handling the advisory process.
6. We understand the cultural dimension in everything
Again – it is all about the people and understand what drives the way people work.
This is what you will get
Improved workflows
Your organization will work faster and more efficiently with master data. The investment of time and hence money in each product will be reduced. Time to market will be improved.
Better data models
Are you actually managing data, which is needed and important, or are you wasting your valuable time. InLoad will help you improve and slim your data models.
Better systems and integrations
If it is needed to implement new solutions for MDM, InLoad will help you pick the right one that suits your needs the best, and we will help you improve the integrations between the various system landscape components as well.