A good analytics solution needs to be robust, reliable and easy to use. We are committed to developing decision making support systems applying the newest technologies, based on agile and that can be seamlessly integrated to the business processes.
Analytics Solutions – Success or Failure?
Along 20 years of experience, we have provided numerous services and solutions with embedded analytics that improved decision making for different business functions, i.e. sales, marketing, planning, and supply chain. There is one question we always get: How can we be sure that any analytics solution implementation will be successful?
The answer is usually founded on 4 pillars that DHAUZ employs to each and every project:
Business
Acumen
We learn the client’s business process and how the solution is supposed to be used. A key success factor is to incorporate the decision making process into the model and solution. The system should accommodate the client’s process, and not the other way around.
Solution Development Cycle
The collaborative definition of main system and modeling requirements allows that the desired innovations come to life. It is critical to have an end-to-end view of the development cycle for innovation systems.
User
Engagement
The end user should be part of the team; the more they get involved, the more they will like and use the final product and the easier it will be to manage change. Their expertise about business processes and their early engagement are another key success factor.
Necessary
MVP
The MVP turns the solution idea into a much more tangible entity and enables testing before having invest to scale. After using the MVP to validate that there is value to be captured, the focus of the development switches to designing to scale and planning the full implementation.
Scaling the solution from the MVP is the increase of scope of the analytics model that was tested to prove value and the development of a software containing such models, that seats on top of a strong architecture and that has an interface centered on the user that explores the analysis and supports outcome discussions for multiple scenarios – the foundation for making quick informed decisions.
DHAUZ has a Competitive Edge
Developing any analytics solution comes with an additional challenge in terms of user adoption. These kind of systems are designed to translate something fundamentally complex, that utilizes a huge amount of data, mathematical equations and statistics, into insights and suggestions that should be easily understood by the user consuming the analysis and that can actually help them make a confident decision.
This translation is far from simple. It requires combining deep technical skills to business knowledge and also building such a pleasant interface that is designed to support the user in their routine of making decisions. Our competitive edge comes from how we design and develop our solutions as much as from the tools and methods we leverage to deliver a consistent and scalable solution to our clients.
