Company research is the backbone of strategic decision-making for businesses, investors, and professionals across industries. How to find comparable companies, then? Traditionally, company research involved manual web scraping, extensive googling and relying on limited public databases. However, Inven's software solution revolutionizes this process. Let's compare Inven to traditional methods.‍

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Advantages of using Inven

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  • Efficiency: Inven streamlines company research by enabling users to input keywords or use natural language search queries. The platform combs through its extensive database, eliminating the need for manual searches and significantly accelerating the research process.
  • Advanced filters: Inven's platform offers advanced filters like ownership structure and business model, allowing users to fine-tune their research and find companies that precisely align with their requirements. Book a demo to see how our filters work!
  • Accuracy: Inven's data is renowned for its accuracy. Unlike traditional methods that often rely on disparate sources and outdated information, Inven collects and processes data using cutting-edge techniques, ensuring that the information provided is current and highly reliable.‍
  • Broader range of data: Traditional sources may provide limited data, but Inven has access to a vast range of information, including financial data, historical performance, and insights from social media platforms. This enables more comprehensive analyses and well-informed decisions.

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Comparison to traditional methods


Manual web scraping

Manual web scraping requires programming expertise as it involves manually writing scripts or using tools to scrape data from websites. The speed of data extraction is limited by the human effort involved and therefore this method is very time-consuming and error-prone. Inven automates the company research process and can quickly and efficiently extract data from multiple websites simultaneously. Inven can handle large volumes of information in a fraction of the time it would take for manual web scraping. This allows users to save valuable time and resources, enabling them to focus on analyzing and utilizing the data rather than spending hours on data extraction.  Manual web scraping in order to search for comparable companies may be suitable for small-scale projects or when dealing with websites that are not easily accessible through automated methods. However, for larger-scale operations, Inven offers a more efficient solution.


Googling

Traditional search engines prioritize web content over company-specific information, causing inefficiencies in research. Inven overcomes this challenge by offering a dedicated platform for company research. Powered by advanced technologies such as natural language processing (NLP) and machine learning algorithms, Inven goes beyond the limitations of traditional search engines. It can understand complex search queries and provide highly relevant results that may not be easily accessible through generic search engines like Google. The NLP models are used to find companies that match your example company profile, so there is no need to use strict industry codes for searching similar companies. Inven's filters are tailored for financial professionals, which ensures that our clients get more relevant results in a much shorter time than searching the web manually.


Public databases

Public databases often lack up-to-date and comprehensive data and using them requires some effort and working hours to extract relevant information. The data M&A professionals need can be dispersed across multiple company and industry registries. Furthermore, the adoption of the platforms can be more expensive due to the enterprise pricing models. Compared to traditional registries and databases, Inven's intuitive platform ensures users have access to the latest and most relevant company profiles based on their search criteria. In addition to that, the cost is at a reasonable level for an internal M&A or business broker team.

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Inven for various types of company research

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  • Competitor analysis: Inven provides access to competitor data points, helping formulate effective strategies. Read also a list of the best competitor analysis tools.
  • Market research: Inven's data platform empowers users to gather insights into market trends, customer preferences, and emerging opportunities.
  • Acquisition target search: Inven's advanced filters and accurate data enable the identification of companies that align with acquisition goals when seeking potential acquisition targets.
  • Client prospecting: Inven offers a powerful tool for investment banks and business brokers to identify and approach potential clients.

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The results from the search are easily saved into separate projects. The company profiles include ownership, growth, financial information and contact information, which makes it easier to contact potential targets. Other useful features include for example CRM integration and shareable notes across teams.

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Conclusion

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Inven's data platform is a game-changer in company research. Its efficiency, accuracy, and comprehensive data coverage provide a significant advantage over traditional methods. Whether analyzing competitors, conducting market research, or identifying acquisition targets, Inven offers a reliable and innovative solution. Experience firsthand how Inven can transform your company research and uncover opportunities.

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