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Telecom giant uses generative AI service to save 3x more on market insights reporting

The results

By implementing Innovior’s fully automated marketing insights reporting process:

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The service is two to three times more cost-effective than legacy insight software products.

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Employee satisfaction within the marketing insights team improved dramatically with the removal of manual and repetitive tasks.

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The insights generated from the report have been used to successfully identify market and competitor threats earlier than previously possible, while also suggesting opportunities to differentiate.

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Frequently asked question

What is automated report generation?

Automated report generation is the process of using software and artificial intelligence to collect, analyse and compile data into structured reports without manual intervention. This technology can significantly reduce the time and effort required to create regular business reports.

How can I automate reports?

To automate reports, you can use a combination of tools such as:

  • Data collection software (e.g. web scraping tools)
  • Data analysis platforms (e.g. Python, R, or SQL)
  • Artificial intelligence and machine learning algorithms
  • Report generation tools (e.g. Power BI, Tableau)
  • Workflow automation software (e.g. Power Automate).

Can you automate reports using SQL or Python?

Yes, both SQL and Python are powerful tools for automating reports. SQL is excellent for querying databases and generating structured data, while Python offers extensive libraries for data analysis, machine learning and report generation. In this case study, we used a combination of Python and SQL as part of our automated reporting solution.

How to choose a report automation tool?

When selecting a report automation tool, consider the following factors:

  • Your specific reporting needs and data sources
  • Integration capabilities with your existing systems
  • Scalability and flexibility of the solution
  • Ease of use and learning curve for your team
  • Cost-effectiveness compared to manual processes
  • Support for advanced features like AI and machine learning.