Data-driven management for businesses | Smarter business

Data, processes and culture together for smarter decision-making

Data-driven management means the ability of the organisation to understand and utilise data in day-to-day decision-making - strategically, tactically and operationally. Loihde supports a culture of change where decisions are based on data, not assumptions. Together, we build operating models in which data, technology and people work seamlessly together and generate measurable value for the business. A data-driven culture is based on clear roles and responsibilities, mutually agreed operating models and everyday actions that support the use of data and guide people away from old, assumption-based practices.

What is data-driven management and why is it important?

Loihde’s data-driven management services combine the data and AI strategy, business goals, and the opportunities offered by modern technology and AI into a unified package. Together, we ensure that the organisation allocates resources to data and AI projects that have a genuine impact on business. The outcome is a clear and business-driven data and AI roadmap. The aim is to move from fragmented development projects to continuous value creation, while also taking into account future needs that the organisation may not even be aware of yet.

The AI strategy and AI Discovery service packages concretise the use of artificial intelligence into value-generating use cases, while the data strategy ensures that the organisation has the necessary and understandable data available and sustainably managed. In addition, the design of KPIs and OKR targets ensures that data-driven management systematically supports the company’s strategic goals. By setting clear goals and indicators, the organisation ensures continuous learning with regard to the cause and effect relationships of its business.

In which situations does a data-driven management service provide the biggest benefit?

A data-driven organisation utilises data to enable the continuous improvement of its business. When data management is in order, data becomes a reliable and transparent decision-making support. Data management creates a strong foundation on which data management models, basic and metadata management, definition of the terminology and vocabulary used and data classification models are built. These jointly agreed data processing methods eliminate ambiguities and ensure that the data is understood correctly.

A distributed data architecture enables the use of distributed yet controlled data, while data traceability increases transparency with regard to the quality, lifecycle phase and sources of data. In addition, when clear roles and responsibilities are defined and implemented through effective change management, new operating models become part of everyday business without unnecessary friction.

What are the benefits of a data-driven management service for your organisation?

Loihde’s data-driven management services move the organisation from individual data projects towards continuous value creation and a conscious goal. Our experts help you define clear goals for data that support your business, build a supporting operating model and formulate indicators that guide decision-making. We provide support in defining roles and responsibilities, shaping culture and developing data quality. The end result is a structure in which data is used in an agile manner, objectively and systematically, even after service deployment.

Bronto Skylift wanted to strengthen a data-driven culture and develop decision-making support. Dispersed data and unclear reporting made everyday work and decisions difficult.

Loihde helped build a unified data platform that combines business-critical data and improves the reliability of reporting. The cooperation included workshops, data model planning and building a common vocabulary.

“This is an investment that brings benefits in terms of decision-making speed and fluency of work.” - Tarja Järvinen, VP Business Transformation, Bronto Skylift

Read the full case study: Bronto Skylift: Data project towards a data-driven culture and data-driven management

Implementation of data-driven management step by step

The service proceeds in stages, starting with an understanding of the organisation’s goals and operating environment. The survey of the current state delves into the organisation's current maturity in terms of data, AI, processes, management, data literacy and technology capabilities. Based on this, the target state is defined and a concrete roadmap is built.

The strategy is implemented according to the MVP principle in order to start value creation early. Iteration and continuous learning ensure that our solutions develop with your goals and remain relevant.

How data-driven management becomes part of everyday business

Based on the maturity analysis, we create a phased path for growing data-driven management capabilities. Training, coaching and workshops support change management and help personnel understand their role in the new operating model. At each stage, we want to clarify how the organisation, teams and individuals will benefit from the changes.

Practical use cases are provided to practice data-driven management. As these progress, feedback is collected, ensuring the functionality of the solutions before broader deployment. Loihde supports people working in different roles and ensures that tools and operating models are used to manage the tasks in addition to responsibilities. The outcome is a lasting, data-driven culture that becomes part of everyday business.

Why choose Loihde as a partner for data-driven management?

Loihde combines strategic thinking, service design, cultural change capability and technology expertise into a package that supports the practical implementation of data-driven management. We don't just focus on technical solutions, but also ensure that data serves decision-making throughout the organisation.

Loihde is the leading provider of overall security services in Finland. We look after both physical and digital security, so data-driven management solutions are always built on a secure and reliable foundation. We operate in a technology-independent manner and support our customers throughout the development journey.

Where to start data-driven management?

For most organisations, the best starting point is to map the current and target state. It reveals how data is being utilised today and which actions and capabilities effectively support the company's goals. The survey serves as the basis for the strategy and roadmap.

How are roles and responsibilities defined in data-driven management?

Roles and responsibilities are based on the organisation’s goals, existing roles and current state. Clarifying data ownership, rules of use and decision-making boundaries so that everyone knows their responsibilities and authority regarding data. It’s a good idea to start small and expand the roles as the level of maturity, knowledge and need increase.

Which technology is right for supporting data-driven management?

There is not one right technology, which is why we create a technology roadmap for the customer that guides choices according to their needs. As a result, solutions are built in phases and they support the business strategy.

How do you ensure that data-driven management is permanently established?

Successful change requires training, everyday support and change management. We build operating models and structures that make the utilisation of data part of the organisation’s culture.