Becoming data-driven means initiating a cultural shift.
What does analytics consulting for management include?
Our consulting service includes targeted support and advice to management in all aspects of the use and implementation of data analysis and technologies. The goal is to help management establish a data-driven corporate culture and 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 foster a culture in which data-driven decisions become the standard. This makes a significant contribution to strengthening competitiveness and promoting sustainable business growth.
Why do I need analytics consulting for management?
Are you asking yourselves the following questions:
- How do I generate information, knowledge, or even new business areas from data?
- How do I establish a company culture that embraces being data-driven?
Bridging the gap between IT and Management: Understanding data-driven decisions
We speak the language of both IT and management. Our approach involves explaining contexts and buzzwords, clarifying their meaning, and identifying the necessary steps to truly make your company data-driven.
Today, we have extensive technical analysis capabilities 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 goal is to show you the steps necessary to benefit from these opportunities and how you can gain valuable insights from data.
Management consulting approach and strategic vision
The goal of our management consulting approach is to identify and explain connections, discuss possible applications of technology and analytics, and integrate them in a meaningful way. We value a clear strategic vision for the use of analytics in the company.
Fit-Gap analysis and data-related strategy
Understanding the steps necessary for a successful analytics implementation is also relevant to 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 address not only technical issues, 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. Further information on the topic of data quality can be found 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 solely 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 of management consulting for analytics
Company and data understanding
A deep understanding of the organization is crucial to clarify the requirements and expectations. This includes the current state of analytics usage, the system landscape, and the organizational structure of the customer.
Data Governance
Efficient and effective data handling is supported by a Data Governance process that structures rules and guidelines on data ownership, data management and access permissions.
Organization: Responsibilities, resources, and skills
Define roles and their responsibilities as well as ownership, with the goal of 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, and analyze data, and to gain insights from it.
Based on the definition of objectives, we also define which competencies must be created so that, for example, the desired level of self-service BI can be achieved.
We also recommend forming an "Analytics Community" (or Competence Center) and encouraging exchange within the departments.
Architecture - Technology and Infrastructure
Ensure data quality
Data culture – Training, marketing & communication
Building a data culture using marketing and communication. Introducing training courses for employees to ensure 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 insights provide real added value.
Scalability and flexibility
Solutions and concepts should be designed to be scalable and quickly adaptable to the changing needs of the company.
Terminology / Documentation
Creation of 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.
For example, Data as a Product – define and document what 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 prospects.
A sparring partner in management consulting for analytics is crucial to deliver strategic insights, penetrate complex relationships, and support the development of a data-driven culture. This partner offers an external perspective and specialist expertise that can help to identify challenges and develop effective solutions tailored to the specific needs of the company.
Responsibility for analytics clearly lies with management. It is crucial that executives 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-independent. This means that the consulting does not depend on specific technology platforms such as SAP or Google, but focuses on fundamental principles and methods to optimize analytics usage and strategy.
A data-driven culture is implemented through several measures, including promoting data literacy and awareness throughout the company, integrating data into decision-making processes, supporting data-based initiatives by management, and establishing clear processes for data analysis and use.
This can be achieved by establishing clear guidelines and processes for data collection, analysis, and use, offering training and awareness for data-driven decision-making, and leaders leading by example and actively promoting the use of data in their decisions.
AI Analytics can help create a competitive advantage by identifying complex data patterns, generating predictions and recommendations, automating processes, and delivering insights that enable fast and accurate decisions. By leveraging 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...
