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Dashboards & Reports

Whether it's standard reports, ad-hoc reports, dashboards, and visual analytics, visualize the data you gather and make informed decisions.
Dashboards und Reports visualisieren gewonnene Daten.

Typical questions regarding the visualization of information:

  • How to ensure high agility in reporting?
  • What differentiates dashboards, analytics and reports?
  • What does the optimal report look like?
  • How is simple administration achieved despite many recipients?

A selection of our customer projects

In numerous customer projects, we have successfully built dashboards and reporting or created the basis for them. Read the reference stories here:

Dashboards, reports and other visualizations:

While Data Integration & Governance is dedicated to data management, transport and traceability, and Big Data, Data Lake & Date Warehouse is used to store this data and insights, dashboards and reports are used to visualize and prepare the information obtained as part of Business Intelligence. Over time, various methods have emerged to transport this information to the end user:

  • Standard reports:

    Standard reports are often used to provide information to a large group of users. Characteristic of standard reports is that the creation of the reports is often done by the role of an "editor" who controls or creates both the data and the presentation of the data on the report. This can ensure high data quality and consistency, not always without losing agility. The goal is to provide curated information, often in a fixed format (PDF, Excel) or using filters and controllable by the user.

  • Dashboards:

    The modern alternative: instead of actively distributing (rigid) information, it is presented to a larger group of users in a modern web interface. Interactions with the data are possible within predefined limits, either by a developer/editor or by the tool used. Dashboards are often visually appealing, but sometimes have weaknesses in printing. The big advantage is that the combination of a modern, interactive interface and a suitable data model can cover many more information requests than many standard reports.

  • Ad-Hoc Reports/Analyses:

    While reports and dashboards satisfy the basic need for information distribution in the company, special, specific evaluations are initially left out. Ad-hoc reports or analyses close the gap. Targeted analyses are created that examine specific business processes and lay the foundation for new decisions. Flexibility and agility characterize the requirements for this type of information provision. Depending on the preparation of the data, the analysis can be created by a trained business user using simple tools, or the data must first be prepared and the methodology and visualization determined. These activities can be performed by well-trained data analysts or – if very complicated – by a team of data engineers and data analysts (sometimes also data scientists).

  • "Visual Analytics", "Exploration":

    This is a special case or an extension of ad-hoc analyses. Special tools support the analyst in his or her work by independently searching the data stock for anomalies, deviations or, for example, correlations. In this way, correlations in the data may be detected that would otherwise have remained hidden.

Our services on dashboards and reports

For years, we have been successfully working with our customers to develop individual Business Intelligence solutions. These can be classic implementations, but also solutions for very current issues with special offers:

Implementation of the BI solution

From conception to implementation and support: A team of experienced project managers and experts develops the BI solution optimized to your requirements.

Reporting according to IBCS

Certified consultants develop optimally comprehensible reports according to a uniform standard based on the customer's technical specifications.

Dynamic dashboards

We turn tedious-to-interpret standard reports into modern, goal-oriented analyses that draw full value from the data contained in the DWH.

The right vendor for every project

Are you looking for technical support on dashboards and reports regarding Business Intelligence? We work with Open Source technologies and commercial solutions from the following vendors:

IBM

With Cognos Analytics and Planning Analytics, IBM has two acknowledged and comprehensive solutions for Business Intelligence. By integrating both technologies also in the Cloud Pak for Data, IBM can offer all aspects of analytical requirements in one platform.
Google Logo

Google

Looker's and Google Cloud's data analytics platform delivers modern BI and analytics
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Microsoft

Analysis Services, Reporting Services and Power BI are Microsoft's powerful tools for creating dashboards and reports.

Contact us now!

We would be happy to advise you in a non-binding conversation and show you the possibilities of dashboards and reports. Just leave your contact details and we will get back to you as soon as possible.

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Marc Bastien
Software Architect TIMETOACT Software & Consulting GmbH
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Dashboards & Reports

The discipline of Business Intelligence provides the necessary means for accessing data. In addition, various methods have developed that help to transport information to the end user through various technologies.

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Business Intelligence

Business Intelligence (BI) is a technology-driven process for analyzing data and presenting usable information. On this basis, sound decisions can be made.

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Business Intelligence

Business Intelligence (BI) is a technology-driven process for analyzing data and presenting usable information. On this basis, sound decisions can be made.

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Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

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Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

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Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

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Conception of individual Analytics and Big Data solutions

We determine the best approach to develop an individual solution from the professional, role-specific requirements – suitable for the respective situation!

Header Konnzeption individueller Business Intelligence Lösungen
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Conception of individual Analytics and Big Data solutions

We determine the best approach to develop an individual solution from the professional, role-specific requirements – suitable for the respective situation!

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Big Data, Data Lake & Data Warehousing

For the optimal solution – with special consideration of the business requirements – we combine different functionalities.

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Big Data, Data Lake & Data Warehousing

For the optimal solution – with special consideration of the business requirements – we combine different functionalities.

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Demand Planning, Forecasting and Optimization

After the data has been prepared and visualized via dashboards and reports, the task is now to use the data obtained accordingly. Digital planning, forecasting and optimization describes all the capabilities of an IT-supported solution in the company to support users in digital analysis and planning.

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Demand Planning, Forecasting and Optimization

After the data has been prepared and visualized via dashboards and reports, the task is now to use the data obtained accordingly. Digital planning, forecasting and optimization describes all the capabilities of an IT-supported solution in the company to support users in digital analysis and planning.

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Demand Planning, Forecasting and Optimization

After the data has been prepared and visualized via dashboards and reports, the task is now to use the data obtained accordingly. Digital planning, forecasting and optimization describes all the capabilities of an IT-supported solution in the company to support users in digital analysis and planning.

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Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

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Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

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Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

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Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.

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Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.

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Data Integration, ETL and Data Virtualization

While the term "ETL" (Extract - Transform - Load / or ELT) usually described the classic batch-driven process, today the term "Data Integration" extends to all methods of integration: whether batch, real-time, inside or outside a database, or between any systems.

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Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.