Becoming data-driven means initiating a cultural change
What does analytics consulting involve for management?
Our consulting services include targeted support and advice for management in all matters relating to the use and implementation of data analysis and technologies. The aim is to help management to establish a data-driven corporate culture and to gain a market advantage through the correct use of their data.
These consulting services typically include:
Through targeted management consulting for analytics, companies can not only use their data more effectively, but also promote a culture in which data-based decisions become the standard. This makes a significant contribution to strengthening competitiveness and promoting sustainable business growth.
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Why do I need analytics consulting for management?
You ask yourself the following questions:
- How do I generate information, knowledge or even new business areas from data?
- How do I establish a corporate culture to become a data-driven company?
Bridging the gap between IT and management: understanding data-driven decisions
We not only speak the language of IT, but also that of management. Our approach includes explaining correlations and buzzwords, explaining their meaning and clarifying which measures are necessary to make your company truly data-driven.
Today, we have extensive technical analysis options and large amounts of data that make it possible to integrate transparency, control and decision support into all areas of your company. As your analytics partner, our aim is to show you what steps you need to take to benefit from these opportunities and how you can gain valuable insights from data.
Management consulting approach and strategic vision
The aim of our management consulting approach is to identify and explain correlations, discuss possible uses of technology and analytics and integrate them in a meaningful way. We attach great importance to a clear strategic vision for the use of analytics in the company.
Fit-gap analysis and data-related strategy
Understanding which steps are necessary for a successful introduction of analytics is also relevant for these topics. We define a clear strategy to achieve your goals with the help of data and conduct a thorough fit-gap analysis to identify necessary adjustments.
Importance of data quality and governance
In this step, we cover not only technical but also essential topics such as the role of employees in processing results and ensuring data quality. Topics such as data governance are crucial for an effective data strategy. You can find more information on the topic of data quality in our white paper "The importance of data quality for analytics".
From vision to reality: implementing a data-driven culture
A data-driven company is not created simply by implementing an analytics tool. Our consulting is technology-independent, as the tool is ultimately only a means to an end.
"Analytics is not just a technology, but a strategic decision. Our consultancy enables management teams not only to understand data, but also to use it in a targeted way to promote a data-driven culture and thus sustainably increase the company's success."
Overview: Key topics in management consulting for analytics
Understanding the company and data
An in-depth understanding of the organization is crucial in order to clarify requirements and expectations. This includes the current status of analytics usage, the system landscape and the customer's organizational structure.
Data Governance
Efficient and effective handling of data is supported by a data governance process that structures rules and guidelines on data ownership, data management and access authorizations.
Organization: responsibilities, resources and capabilities
Defining roles and their responsibilities as well as ownership, with the aim of also being able to decide on development priorities (Change Advisory Board).
Ensure that the company has the necessary skills and resources (internal or external) to collect, manage, analyze and gain insights from data.
Based on the target definition, we also define which skills need to be created so that, for example, the desired maturity level of self-service BI can be achieved.
We also recommend that an "analytics community" (or competence center) is formed and that the exchange within the departments is pushed.
Architecture - technology and infrastructure
Ensure data quality
Data culture - training, marketing & communication
Building a data culture through marketing and communication. Introduction of training for employees to ensure that they understand and use the new technologies and processes.
Integration into existing processes
Seamless integration of data & analytics into existing business processes to ensure that the insights provide real added value.
Scalability and flexibility
The solutions/concepts should be planned in such a way that they are scalable and can adapt quickly to the company's changing requirements.
Terminology / Documentation
Create a glossary/documentation so that everyone at RhB understands the same thing when talking about a term/key figure. Make it accessible to all end users.
e.g. Data as a Product - define and document which data exists in the company, who the owner is, etc.
A data-driven culture promotes transparency in decision-making processes, which leads to greater employee trust in company management. Employees have the opportunity to develop valuable analytical skills and technical knowledge, which improves their career opportunities.
A sparring partner in management consulting for analytics is critical to provide strategic insights, cut through complexities and support the development of a data-driven culture. This partner provides an external perspective and subject matter expertise that can help identify challenges and develop effective solutions tailored to the organization's specific needs.
The responsibility for analytics clearly lies with management. It is crucial that managers recognize and actively promote the strategic importance of analytics. They should ensure that analytics is not just seen as a technology project, but as a central component of the corporate strategy.
Yes, a coaching approach in management consulting for analytics can be designed to be technology agnostic. This means that the consulting is not dependent on specific technology platforms such as SAP or Google, but focuses on fundamental principles and methods to optimize analytics use and strategy.
A data-driven culture is implemented through several measures, including the promotion of data literacy and awareness throughout the organization, the integration of data into decision-making processes, management support for data-driven initiatives and the establishment of clear processes for data analysis and use.
This can be achieved by establishing clear policies and processes for data collection, analysis and use, providing training and awareness on data-driven decision making, and leaders leading by example. leading by example and actively promoting the use of data in their decisions.
AI / AI Analytics can help create a competitive advantage by identifying complex data patterns, generating predictions and recommendations, automating processes and providing insights that enable fast and accurate decisions. By using these technologies, companies can react more agilely and proactively to market changes and develop innovative solutions.
KNOWLEDGE
Things to know about Analytics Reporting
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The success story highlights the challenges and initial situation of a project at the CSS Group dealing with the budget and projection process. Previously, these processes were carried out manually using Excel files, which led to time losses, susceptibility to errors and inaccurate planning. The aim of the project was to improve this process, enable precise planning and carry out efficient extrapolation.
Starrag AG was faced with the challenge of automating manual processes in the finance department, in particular the time-consuming preparation of monthly reporting. The decision was made to implement the SAP Analytics Cloud (SAC), supported by the expertise of s-peers AG.
Companies such as AXA Switzerland face various challenges on the road to transformation into a data-driven company. In addition to technological aspects such as the integration of data platforms and the associated tools...
