AI-powered reporting and reporting automation
AI can make reporting significantly simpler and clearer. We develop bespoke reporting systems that prepare data from different sources, make important KPIs visible and deliver learnings in the right structure and at the right frequency.
Start onboarding- Bespoke reporting system: We set up reporting structures tailored to your company's specific information needs.
- AI-powered data processing: AI supports the preparation, analysis and structuring of data from different sources and interfaces.
- Suitable reports for different levels: Management, marketing, performance teams and operational teams receive the information they need for their respective decisions.
The resultA reporting system with bespoke dashboards or automated report outputs, a clear KPI structure, and regular summaries of learnings and recommendations for action.
The advantage of AI-supported reporting and reporting automation with Digiknall
AI is here to stay. It can make a major difference, especially when it comes to processing and preparing data. Many companies do not need the same figures and analyses for everyone in their reporting. Senior management needs a different overview from the marketing team. Those responsible for performance work with different details from those who derive specific content or campaign decisions from them. This is exactly where we come in. We develop reporting systems that match the respective requirements. AI helps to prepare data, analyse relevant KPIs and structure the results so they become visible more quickly and clearly. The advantage is not limited to automating individual steps. It creates reporting that is better suited to the organisation, the different recipients and the respective use cases.
What we develop in AI-supported reporting
Reporting needs and recipient groups
The starting point is the question of who needs which information. We consider different levels within the company and define which figures, analyses and learnings are relevant for the respective recipients.
Data sources and interfaces
We assess which sources the required data comes from and how it can be consolidated for reporting. Depending on the starting point and use case, we work with individual data sources, APIs and internal systems.
AI-supported data preparation
AI helps to clearly prepare data from different sources and organise it into an understandable structure. This turns individual figures into reporting that can be worked with more quickly.
Analysis of KPIs and learnings
Good reporting does not just show what has happened. It also helps make relevant developments and learnings visible. AI supports the analysis of data and the summarising of the key insights.
Individual reporting logic
We define which content is delivered in which format and at what frequency. This allows different target groups to work with different reporting levels without having to manually create the same analysis every time.
Structured output
Depending on requirements, this results in an individual dashboard, an automated report output or a report template. Regular summaries of learnings and recommendations for action can also be integrated.
The result is a reporting system that not only collects data but makes it usable for different recipients. The key KPIs, analyses and learnings are made visible in the appropriate structure. This creates a clear basis for decisions in management, marketing, performance and operational social media work. The specific design is always tailored to the respective use case.
How AI-supported reporting and reporting automation work
Understanding reporting needs
We clarify who in the company needs which information, which decisions are to be supported and which KPIs and insights are relevant for this.
Review data sources and systems
We analyse the available data sources, APIs and internal systems. In doing so, we review which data is already available and how it can be used for reporting.
Define reporting logic and use cases
We develop the reporting structure. This includes the relevant KPIs, the different reporting levels, recipient groups, and the desired format and frequency of analysis.
Integrate AI-supported preparation and analysis
We set up the processing, analysis and structuring of data so that the relevant information can be prepared automatically or semi-automatically for the respective use case.
Make reporting visible and usable
We set up the agreed dashboards, report outputs or templates and tailor the presentation to the respective recipients. This ensures that each level receives the information it needs for its work.
Further develop reporting
Reporting needs change. That is why the system can be continuously adapted depending on the use case and expanded to include additional data sources, analyses or use cases.
Here’s how we make an impact
Onboarding
Complete a short questionnaire so we can prepare for our conversation.
10 minutesDiscovery call
We meet online to get to know each other and show you what social media campaigns could do for your business.
30 minutesProposal
If we’re a good fit, you’ll receive a proposal tailored to your situation.