Data participation for everyone

Bibits is committed to empowering organizations to take control of their data management processes, enabling all users—regardless of their technical skills—to contribute to informed decision-making. By aligning solutions with business objectives, simplifying complexity and ensuring strong governance, scalable and efficient BI systems are being created.

Bibits

About us

Company vision

Our vision is to provide the fundament that allows anyone to engage in data-driven processes, with businesses fully equiped to take control of their data. We want to enable organizations to make fast and smart decisions while promoting the concept of true data democratization

“Engineering empowerment"

With a passion for technology, I approach challenges that are often seen as fact with a mindset of innovation and possibility. My expertise in both database ánd application development allows me to combine these skills to create integrated systems. I believe that Microsoft Azure is the premier platform for data management, offering great flexibility and power to optimize operations.

Solid code is elementary to a solution so that it can be enjoyed long after it was released. To me that means writing modular, clean code, eliminate redundancy and paying constant attention to performance, scalability and flexibility.

Lou Driehuis,

Co-founder

Dedicated to technoglogy & innovations

How we Work

DevOps and CI/CD principles ensure integration and continuous delivery of quality solutions. However, before entering the DevOps cycle, strong emphasis is placed on thoroughly understanding the business complexities. While this might seem straightforward, we consider this phase the most critical step in any project.

During this phase we partner with clients in order to gain an understanding of the business dynamics and to identify solution directions that meet the immediate needs as well as align with long-term strategic goals.
Since data democratization is core to our philosophy, we want to ensure that users from any domain can be engaged in data-driven processes.

A thorough understanding of the organization is needed to understand the environment in which the project is executed. Requirements from both business- and technical perspective are collected by engaging with a variety of stakeholders. This will not only stimulate future adoption but also mitigate the risks related to development in relative isolation.
Clients are supported set clear, business-driven goals that guide the project from start to finish, ensuring the BI system delivers valuable and actionable insights. Definition of Done is defined along with project scope and methodology.
The solution is worked out in the design phase. Detailed conceptual and logical data models are prepared, accompanied with necessary technologies and definitions and mile stones. Elementary in the design are next concepts:

Data Quality : Data quality is often seen as an external factor for which issues should be addressed in the source. Although we agree on the garbage-in-garbage-out principle, we do believe that organizations can do more to improve data quality. The use of mapping and reference-and master data are examples of practices that can be used to achieve quality data without delay or the dependency of others.

Simplify; It is not easy to make complex things simple but it is vital in achieving success. Simple solutions are more easily adopted by more stakeholders and will streamline the development process. Rather than overwhelming users with unnecessary complexity, solutions need to streamlined to provide concise, actionable insights that align with the client’s business strategy.

Governance : Embedding the right governance and support organization is necessary to maintain data quality and system performance in time. It helps organizations comply with regulations and manage risks related to data security and privacy. Standardizing practices will allow for more efficient and effective use of data across the organization.

Non-Functional features : Pay enough attention to the ‘non-functional’ requirements like security, compliance, logging, monitoring, performance and total cost of ownership (TCO). Too little will cause undesired side-effects when live, too much will defer from delivering visible value in a timely manner. By using standard practices and techniques we know how to deliver business value without compromising for the less visible, yet equally important aspects of a solution.
Before actual implementation starts, a high level assessment is performed on the assumptions made during the design phase. If necessary specs are adjusted and key challenges are discussed with client. Once design proves feasible actual implementations kicks off
The solution is realized conform specifications and within the project dynamics of the organization. The balance between business value and non-functional aspects is made and functionality is delivered through incremental cycles of development and releases.
Technical review, fine-tuning, and integration testing is conducted to prepare for business testing. By making use of CI/CD pipelines, code is seamlessly released to acceptance, where user acceptance testing is facilitated, and input for further optimizations is collected. The team operates within a DevOps framework, to closely collaborate with business users and to support a smooth and continuous delivery of business value.
During go-live the solution is deployed to production, configurations setup and final tests are conducted. Users start using the system with immediate support available to handle any issues. User adoption is supported through training and ongoing support, while performance is monitored and refinements are made based on user feedback. Ultimately, the system is fully integrated into daily operations, and long-term support can be provided to ensure continued success and address any future needs.

Data democratization

Data democratization refers to the process of making data accessible to everyone in an organization, regardless of technical expertise. It empowers all employees to access, analyze and use data in decision making processes. The goal is to remove data silos, simplify complex data processes, and provide self-service tools so that non-technical users can derive insights and drive smarter business decisions.

In a democratized environment, data becomes a resource for all departments—sales, marketing, customer service, HR, research, and executive leadership. By removing bottlenecks and allowing direct access, teams can quickly retrieve and analyze relevant data, improving efficiency, collaboration, and decision-making. Ultimately, data democratization aims to create a more agile, data-driven organization, leading to better business outcomes and innovation.

Bibits plays a key role in this transformation by providing integrated data management solutions that are intuitive, flexible, and efficient. Tools that address the complexity of working with data, allowing staff to interact with data without needing constant support from IT or data specialists. Solutions with embedded controls to avoid misuse and that address potential security & compliance concerns to such an extend that the entire organization can safely participate in fast and smart data management processes.

"Driving data participation"

Committed to driving data participation, simplifying complexities, and reducing waste and inefficiencies. I bridge the gap between business and technology and enable organizations to take advantage of their data assets.

Stimulating BI teams to drive innovation and create solutions that make a difference. I am hands-on, think in terms of possibilities and am energized by maximizing customer value.

Ruud Staals,