It's not the volume of data, but the quality of the data.

La importancia de la calidad de los datos y no de su volumen | Qaleon blog

The importance of data quality rather than data volume

La importancia de la calidad de los datos y no de su volumen | Qaleon blog foto data value

As data management becomes more advanced, it is becoming increasingly important for companies as it has become an element of analysis for decision making in marketing, product development, finance, among other areas. It provides complete information in real time through the quality of the data. Data collection brings numerous benefits for companies in addition to providing a competitive advantage in the market. Companies that do not take advantage of the value of data run the risk of being left behind. Translated with www.DeepL.com/Translator (free version)

The importance of data quality in the enterprise

Data is the driving force behind customer relationships, sales strategy and all marketing projects. Investing in data management solutions is a matter of course for many companies. However, data quality remains a priority. For data to be beneficial, it must be of high quality. The better the quality of the data, the more you can get out of it. Therefore, if we base decisions on quantitative data and not on qualitative data, it is likely that decisions will be made in the wrong way. Translated with www.DeepL.com/Translator (free version)

Data quality is at the heart of business issues. The qualification process must start as soon as data is integrated into the business. This is a major challenge when we know that once stored, cross-referenced and analysed, qualified data brings high added value at all levels of the company.

New technologies are increasing the importance of data and its quality. Technologies such as artificial intelligence and automation have enormous potential, but the success of these technologies is highly dependent on the quality of the data. For example, machine learning requires large volumes of accurate data. The more good data an algorithm has, the faster it can produce results, and the better those results will be. Machine Learning Good data management is crucial to keep up with the competition and seize opportunities. High quality data can also provide concrete benefits to businesses. However, data quality is also critical due to compliance issues. As data regulations continue to evolve, it is increasingly important for companies to manage their data properly.

Data is increasingly becoming an integral part of business operations. Instead of treating data as separate from other functions, companies are integrating it into all of their tasks. This increased integration means that the quality of data can impact many aspects of a business, from marketing to sales to strategy to management.

Good data management is crucial to keep up with the competition and take advantage of opportunities. High-quality data can also provide concrete benefits to companies. However, data quality is also critical due to compliance-related issues. As data regulations continue to evolve, it is increasingly important for companies to manage their data properly.

At Qaleon we help you to work with data with artificial intelligence and business intelligence with solutions such as Qalify or Qanto