

Augustas Pelakauskas
Last updated on
2023-09-21
1 min read
AI Summary:
Competitive intelligence (CI) integrates data collection and analysis capabilities to address the challenge of analyzing vast amounts of unstructured data. This approach enables businesses to leverage existing knowledge, driving transformational changes and fostering growth across the organization.
Businesses increasingly prefer data-driven decision-making, leaving intuition-based decisions to lesser tasks. Today, artificial intelligence (AI) can locate and extract data from unstructured sources with nearly 95% accuracy. And yet, most organizations struggle to analyze the ocean of data they collect, as nearly 90% of data is unstructured or has no defined schema.
With competitive intelligence (CI), businesses can connect data collection and analysis capabilities into a single system bringing all the existing know-how and adopting it in-house.
CI practices yield a range of transformational changes that fuel growth with areas of impact found at all levels of an organization.
Download this white paper for free to get to know the CI processes, application scenarios, and their impact on business development.
Free PDF

In this whitepaper, you’ll find out the following nuances of CI:
Meaning and importance
Areas of impact in business development
Tools and processes
Use cases in business spheres
Benefits and risks
Explore other topics covering public web data collection detailed in Oxylabs’ white papers.


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