The manual creation of business reports is a time-consuming and error-prone process. The diversity of the relevant data sources and the number of stakeholders involved also call for robust solutions that enable the process to be improved quickly. In this respect, report automation comprises various approaches that save resources and increase the informative value of information.
What is Report Automation?
Report automation describes the process in which relevant information is provided automatically at certain intervals or situations. This regularly creates an important basis for decision-making from data such as key figures, amounts and various economic metrics without the need for human resources. Reporting often contains so-called KPIs (Key Performance Indicators)that mathematically map the progress of an objective. This can be used to generate specific error messages, recommendations for action or simple updates on the status quo.
In principle, every area of the company can benefit from these business insights, but their importance increases the more data-based the work is and the greater the dependency on the corresponding KPIs. The reports are therefore particularly important for controlling, marketing, sales and resource planning. Automation solutions aim to integrate various data sources and inventory systems in order to relieve employees of the burden of compiling the underlying information. Automated processing is then carried out using rules and business logics that can be adapted almost at will.
Advantages of report automation
Report automation typically includes all the general benefits that an increased level of automation brings. However, there are also situational aspects that enable improved monitoring and various immediate measures.
Efficiency increase
The automated creation of reports usually saves an immense amount of time. Otherwise, time-consuming cooperation between data analysts and countless stakeholders in the company is necessary until all relevant information has been collected. Report automation does not completely relieve data analysts of their relevant tasks, but provides them with a sound basis that overcomes typical pain points in data collection. Specialist employees, on the other hand, are freed up to devote their time to their main tasks.
Precision
Purely personal reporting often involves various communication processes between departments, manual data entry and a certain amount of room for interpretation. All of this forms the basis for any errors that may initially go unnoticed and therefore reduce the consistency and informative value of the reports. Report automation minimizes these errors by initially merging information unchanged and without evaluation.
Speed and timeliness
Once Report Automation has been set up, reporting is much faster than before. However, the time saved here also has an impact on the informative value of the data transported: The greater the time lag between data collection and evaluation, the more the situation may have already changed. Automation considerably reduces this time deviation - right up to the availability of real-time data. This can be particularly crucial in dynamic markets.
Improved decisions
Timing is one of the fundamental effects of report automation: it is not uncommon for reports to include an error message or indicate that a relevant metric has reached a set threshold. In these cases, the timing of decisions alone can make them more effective. With a comprehensive and representative database, the assessment of the situation is also much more objective. Human interpretation only takes place after processing, so that no deviations are reproduced in between.
The less manual influence a person has on data collection, the more objective their final decision will be.
Define business needs
There are various ways to technically implement report automation. Tools are often used that are based on different approaches. Business Needs - especially with Data Processing - target. Individual and industry-specific user preferences can also influence the decision. Essentially, however, these Criteria for the selection of software authoritative:
- Form of the reports already used
- Previous manual processing time
- Recorded KPIs
- Intensity of use or dependency on reporting
- Relevant data sources
- Infrastructure and compatibility
- Data Processing Resources
- IT affinity of the team
Taken together, this results in a comprehensive profile of business needs. for report automation. The next step is to consider which solution is suitable.
5 types of reporting tools
The following are some types of report automation tools, but there are also overlaps and hybrid forms.
Low-code tools
Low-code enables developments and the customization of processes via a drag-and-drop user interface. In this way, it is also possible to define which data sources are to be accessed and in which situations reports based on them are to be generated. This means that they can also be used by teams with little IT knowledge. However, the price for this is less flexibility compared to per-coding.
Visualization tools
Some applications are primarily designed for the visual presentation of complex data structures. This means that the user only receives a clear presentation of the KPIs in tables and graphs, but has to draw their own conclusions. It is possible to integrate various dashboards that allow interaction with the data. In this area, it is no longer possible to clearly differentiate between business intelligence.
Business Intelligence Tools
These applications include visualization tools and also aim to derive concrete decisions. To this end, business intelligence works primarily with historical and current data in the sense of a descriptive analysis. This makes it possible to draw a fine distinction from business analytics, a method that relies more on prescriptive and diagnostic analyses and therefore tends to provide explanations. However, this distinction is the subject of ongoing debate.
Subject-specific tools
Some tools specialize in specific specialist areas. Marketing and finance stand out here in particular. In marketing, the focus is typically on KPIs for measuring reach and interaction rates, as well as sales figures. The reports are often rich in visualizations. Finance reports primarily take into account financial data for which a Analysis of documents is necessary.
Fully integrated AI software
If a reporting tool has to interact with too many individual solutions, this can lead to problems with compatibility and data security. Many companies therefore rely on software that covers all the steps of comprehensive process automation and data security. Data integration while also creating a structured basis of data for individual reports. Functionalities of the tools mentioned above can also be integrated.
A holistic approach
Integrating the necessary data is therefore a significant challenge not only for people, but also for specialized reporting software: data silos, differing formats, incompatibilities and a lack of structure can hinder the process. As shown above, however, report automation depends heavily on the available resources and their organization. Konfuzio is an AI-based software that creates precisely this structure in order to then provide standardized or individual reports at any key points. The following capabilities, among others, help with this:
API integration - Konfuzio can be connected to countless external systems and data sources via a programming interface. In this way, the software gains access to the general flow of information and collects the data where it is generated. Data silos are broken up and incompatibilities overcome.
Data extraction and structuring - With the help of various AI technologies, data is captured even from unstructured formats such as optical free text. This is followed by conversion into structured formats. These can then be used by any software - for example by supplementary reporting or business intelligence tools.
Low-code and pro-code - The data processing sequence can also be defined by specialist employees via an interface. At the same time, programmers receive a Software Development Kit the option of creating individual data pipelines. In both cases, it is possible to define when a validation or a report is required. In addition to standard reports, the SDK can also be used to create customized reports
Automating your information processes with Konfuzio creates a valuable basis for report automation and data analytics of all kinds.
Conclusion
Report automation is an essential process for companies that optimizes the usability and effectiveness of specific information. By automating not only the creation of reports, but also the seamless processing of the underlying data and KPIs, maximum efficiency with a minimum error rate is possible. The specific reporting software that should be used depends heavily on the individual business needs and the existing structures in terms of data processing. In any case, extensive data access and a wide range of functionality and compatibility are an advantage. This gives employees and decision-makers a comprehensive picture of the current situation so that they can make well-founded decisions.
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