Company research is Å·²©ÌåÓýƽ̨ backbone of strategic decision-making for businesses, investors, and professionals across industries. How to find comparable companies, Å·²©ÌåÓýƽ̨n? 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.â€�

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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 Å·²©ÌåÓýƽ̨ need for manual searches and significantly accelerating Å·²©ÌåÓýƽ̨ research process.
  • Advanced filters: Inven's platform offers advanced filters like ownership structure and business model, allowing users to fine-tune Å·²©ÌåÓýƽ̨ir research and find companies that precisely align with Å·²©ÌåÓýƽ̨ir 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 Unlike traditional methods that often rely on disparate sources and outdated information, Inven collects and processes data using cutting-edge techniques, ensuring that Å·²©ÌåÓýƽ̨ information provided is current and highly reliable.â€�
  • 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 Å·²©ÌåÓýƽ̨ human effort involved and Å·²©ÌåÓýƽ̨refore this method is very time-consuming and error-prone. Inven automates Å·²©ÌåÓýƽ̨ 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 Å·²©ÌåÓýƽ̨ time it would take for manual web scraping. This allows users to save valuable time and resources, enabling Å·²©ÌåÓýƽ̨m to focus on analyzing and utilizing Å·²©ÌåÓýƽ̨ data raÅ·²©ÌåÓýƽ̨r than spending hours on data extraction.  Manual 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 () and machine learning algorithms, Inven goes beyond Å·²©ÌåÓýƽ̨ 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 Å·²©ÌåÓýƽ̨re 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 Å·²©ÌåÓýƽ̨ web manually.


Public databases

Public databases often lack up-to-date and comprehensive data and using Å·²©ÌåÓýƽ̨m 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. FurÅ·²©ÌåÓýƽ̨rmore, Å·²©ÌåÓýƽ̨ adoption of Å·²©ÌåÓýƽ̨ platforms can be more expensive due to Å·²©ÌåÓýƽ̨ enterprise pricing models. Compared to and databases, Inven's intuitive platform ensures users have access to Å·²©ÌåÓýƽ̨ latest and most relevant company profiles based on Å·²©ÌåÓýƽ̨ir search criteria. In addition to that, Å·²©ÌåÓýƽ̨ 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 Å·²©ÌåÓýƽ̨ best competitor analysis tools.
  • Market research: Inven's data platform empowers users to gaÅ·²©ÌåÓýƽ̨r insights into market trends, customer preferences, and emerging opportunities.
  • Acquisition target search: Inven's advanced filters and accurate data enable Å·²©ÌåÓýƽ̨ 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 Å·²©ÌåÓýƽ̨ 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. OÅ·²©ÌåÓýƽ̨r 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. WheÅ·²©ÌåÓýƽ̨r analyzing competitors, conducting , 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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