Data-Driven Management Solutions

Data and Analytics Services

Organizations collect a wide variety of data from different business areas, systems, and environments. To turn data into valuable information, it needs to be gathered from its silos onto a platform where it can be cleaned and refined into a more understandable form. This requires data management solutions known as data platforms.

• Lack of an overall picture of the organization’s information assets
• Difficulty in accessing data
• Unclear goals and applications for data utilization
• Challenges in data quality
• Partly outdated data utilization practices

• Development needs but lacking a long-term vision
• Development work is siloed
• Lack of linkage between development work and strategy
• Unclear data-related operating models and roles
• Insufficient data skills

Data Platforms

A data platform allows organizations to analyze and utilize information more effectively, aiding in better decision-making, business development, improving customer experience, and product development.

Data platforms enable the integration of data from databases, cloud services, sensors, and other devices. They often include databases, data storage and distribution systems, application programming interfaces (APIs), and analytics tools. Using data platforms also involves important security and privacy considerations that must be addressed in data collection and usage.

Information that has been consistently processed, analyzed, and visualized on a shared data platform is available in real-time across different business functions, processes, and systems. A data platform often consists of various information systems and components integrated seamlessly. It enables the collection, storage, management, refinement, and analysis of data in one place, making it easier to use and share.

Platforms allow organizations to combine data from different systems and use it in their business, such as analyzing customer behavior, optimizing production processes, improving logistics, or predicting market trends. They also facilitate managing data sharing between different parties, such as customers, partners, or other organizations.

Data Volume and Manageability

The significance of data platforms has rapidly increased with digitalization, as the need for organizations to handle large amounts of data has grown significantly. It is crucial for organizations to choose the right data platform for their business needs to utilize data as efficiently and safely as possible.

Platforms can be implemented with various technologies, such as cloud services, on-premises servers, or hybrid models. Most data platforms are scalable, meaning they can be expanded as needed to meet the growing data management needs of the organization.

Virnex develops sustainable and scalable data platforms tailored to different needs, allowing business information to be quickly utilized. Solutions are always built based on the systems, data volume, and requirements of the client. The process includes all stages from planning and development of the platform to its construction, maintenance, continuous integrations, testing, and automation solutions.

Careful planning ensures that the platform can be continuously developed to meet changing needs or new integration requirements. Virnex also ensures the safe storage of data in so-called “data vaults,” where data is stored and readily available.

Together with digitally standardized processes and intelligent automation, data platforms collect all essential business information for real-time utilization. This ensures that the company’s management always has the best data-driven information available to base decisions on and continuously develop and optimize the business.

High-quality technologies ensure that collected information is more reliable, and its processing does not tie up human resources but frees them for more productive use.

Data Quality Management

Data quality management is a critical factor in modern business. It enables the effective use of an organization’s data in strategic decision-making and improving business outcomes.

Data quality management refers to the combination of processes, technologies, and policies that ensure the accuracy, reliability, and suitability of collected data for its intended purposes. This includes ensuring the correctness, completeness, timeliness, consistency, and availability of data.

At Virnex, our experts use tools like Great Expectations, an open-source library used for data validation, documentation, and profiling. Great Expectations allows data scientists and developers to set expectations for the data they use or analyze.

Data-Driven Management Services

Data-driven management is an operating model where an organization effectively uses data in its business, makes decisions based on information, and measures goal achievement with data.

The transition to a more data-driven organization can begin at very different stages and situations for companies. Data-driven management is discussed when available information is consciously and purposefully used for business development.

Data-driven management is primarily about generating understanding, as data has no intrinsic value; it must be effectively utilized to enhance and develop the business. Many companies need help in this area.

Where to Start?

Developing data-driven capabilities can start from various initial situations. If your data-driven management situation requires clarification, our current state assessment helps identify strengths and areas for development.

Data-driven management does not start with technologies but with business strategy. We help you define the vision and strategy for data-driven management based on your business strategy. We support you in implementing the data-driven management strategy and help define the development roadmap and effective operating models. Our data-driven management experts assist in the continuous development of data-driven capabilities. Our training programs enhance your organization’s data skills and data-driven culture.

The transition to a more data-driven organization should be carried out methodically and systematically. Management support is always a fundamental prerequisite for change. We support your management in the transition and help create effective dialogue between business and technology. We coach your management and help identify opportunities for data-driven management.

We Help Your Organization

• To define a data-driven management strategy based on the business strategyIdentify and prioritize data-driven management development areas
• To create an effective data-driven management model and processes
• To develop data-driven capabilities and data skills systematically
• To identify essential information and utilize it
• To create conditions for interaction between different business functions
• To understand data and ask the right questions
• To make smart system acquisitions and integrations if needed
• To ensure resources are used efficiently and for the right things.

The transition to a more data-driven organization always aims to do things smarter. Therefore, this transformation process should also be carried out methodically and systematically with the help of experienced professionals.

Virnex experts act as guides for your organization on the journey to data-driven management and implementing change in practice so that your organization learns to develop independently and adopts continuous learning and development practices. Our working methods include workshops, interviews, training, and coaching.