Data Audit
The starting point for all measures and actions relating to data
The Data Audit gives both data managers from data, BI and marketing as well as top management an overview of what data is actually available in the company. This also includes how they are used and which departments interact with them and how.
This is the basis for all measures and actions relating to data; after all, these should contribute to corporate goals and generate higher sales and profits in the long term.
Our process
Status quo survey
- Quick start through targeted discussions with managers to sharpen understanding of important corporate goals and KPIs
- Targeted interviews or workshops with pre-defined stakeholder groups to record the current situation
- Review of any documentation
Development of target picture and top use cases
- Summarizing the status quo results & deriving a target picture primarily based on best practices and experience
- Proposal & prioritization of use cases based on best practices and experience
- Design of 1-3 top-prio use cases for faster implementation after the data audit
Derivation of recommendations for action
- Identification of focus topics and priorities, including quick wins where possible
- Derivation of targeted recommendations for action in the focus topics and priorities
- Consolidation of the results and handover
The Business Impact of Your Data Audit: The Fact-Based Decision Foundation
Our Mission: Transparency & Fact-Based Decisions
A Data Audit is the mandatory starting point for any strategy. We deliver objective transparency across your Culture, Organization, and Architecture to identify Quick Wins and risks.
The Measurable Impact
Risk Reduction: Weaknesses in Data Governance and Compliance are exposed immediately.
Clarity: 100% of data challenges are documented, avoiding blind spots.
Actionable Roadmap: Immediate implementation of low-hanging fruit (Quick Wins).
Facts based on our work for HAAS Media Group
Your Path to Strategic Clarity
We begin with strategic alignment and develop a blueprint that encompasses Architecture, Organization, and Change Management. We deliver an actionable roadmap instead of a paper tiger.
Take Action: Schedule a Free Data Audit and Strategy Assessment
You still need the Basics, definitions and all backgrounds on the subject of data audit? All information that does not directly relate to your 5-step process can be found in our expert guide.
The Ultimate Guide: Your Roadmap for Data-Driven Success
This is how we proceed with a data audit
From evaluating stakeholders to individualization and recommendations for action — a data audit provides a clear view of the company's weak points and how they can be remedied.
Evaluate
The first step of the data audit is to evaluate which key stakeholders there are for the topic of data in the company. This includes not only individual positions, but also specialist departments and data or BI department.
The overview has usually been lost due to the historical growth of the data topic — which represents a fairly normal development. However, in order to be able to make data-driven decisions in the long term, this overview is essential in order to be able to involve the right stakeholders and units in the next steps following the data audit.
Specify
Every company is different — and is positioned differently, especially in the data sector. Because there were few best practices at the start of data growth in companies, each company started building data, collecting and bringing data together in a different place.
In this step, the framework with which the data audit is carried out is adapted to the goals of the respective company — in order to be able to carry out an individual and sustainably effective data audit.
Perform
Now we come to the core of the data audit! This consists of creating a data profile, reviewing existing systems and channels, uncovering silos, and analyzing the company's state of data. This includes the quality of the data and its use.
To do this, we conduct interviews with stakeholders, interview employees and create various diagrams and tables to visualize the company's data flow.
Validate
The results that we have collected are now finally validated with key stakeholders. This step usually results in exciting insights again — both for us and key stakeholders — and weaknesses in processes and communication are revealed, because: Many processes involving data are based only on “hearsay.” This step also enables the company to optimize data processes across departments.
Presenting
In the last step of the data audit, the results are presented to top management. From these results, we derive recommendations for action and next steps, which we recommend and which can improve the handling of data.
On this basis, it is possible for the company to take the next steps towards a data-driven company, break down silos and enable specialist departments to achieve better results by supporting data.
Data audit in our framework
We always work with the organization, culture and architecture framework. Because in our opinion, these 3 areas are the most important factors for successfully anchoring data in the company in the long term. During our audits, we look at exactly these areas.
This gives companies that book a data audit with us an overview of:
- The structure of their Data organization From processes to the areas of the company in which data is collected and processed, but also the people who have access and ownership of various data
- The state of their Data culture and the maturity level of your own data literacy
- Data architecture And initial recommendations for actions and insights into their tool stack
The Data Institute — the strong partner for data audit
We want companies to quickly get an impact and see what they can do with data. At the same time, we have an overall view of the company and would like to take a long-term view Strategies Implement, which enables employees to work with data independently.
What services can be combined withData Audit?
Case studies on the subjectData Audit
You can find suitable examples of our work on this topic in the following case studies:
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