Many great businesses usually have solid foundations, and credibility so happens to be one indispensable ingredient of this type of foundation. This credibility applies in every aspect, including the type of data they regularly use. This means that the kind of data they use is most often very accurate.
Recently, data accuracy has become more than just one of the components of big data and has turned into a common requirement for e-commerce brands that want to succeed. Accurate data can help to provide helpful business insights, make smarter business decisions, as well as boost sales, and generate more revenue.
This means that accurate data cannot be overemphasized, and the most reliable and correct data needs to be gathered regularly and in enormous amounts. Extracting data is a tedious exercise and scraping accurate data frequently and consistently is even more tedious, which is why proxies are increasingly being used.
What is accurate data?
Accurate data generally refers to data free of any errors, and using accurate data implies that both the standard and general framework of the data are of high quality. This type of data can be conveniently used as a reliable source of information.
Keeping an accurate data record ensures that a brand performs business operations with the best insights. Such insight is important for making key decisions quickly and timely.
Also, accurate data can be used for comprehensive user and market analysis, which helps inform and support business strategies such as dynamic pricing.
Moreover, this type of data can be a very important way to demonstrate business intelligence. An intelligent business move must be supported by accurate user data collected and analyzed in real-time.
Some of the benefits associated with working with accurate data include:
- It can underline penetration into new markets
- It can be used for launching a new product or service
- It can be used for lead generation and understanding the movement of the market
- Accurate data can also be used for understanding the competition and setting prices
- Accurate data can also be used for brand and price monitoring as well as brand protection
- It can help set up dynamic pricing and location-based price changes
Importance of accurate data
Companies use accurate data for the following important reasons:
- To improve productivity
Productivity is generally tied to how reliable the data a company is working is. Once data is correct, it removes the burden from employees. It prevents them from wasting time going over errors, thereby helping them channel more energy and time into doing more productive work. It is believed that the more accurate data is, the more productive a brand can be.
- For better decision making
Accurate data is usually the sole backbone of great decision-making. A brand that relies more on reliable data generally tends to make the best decisions with lower risks of failures. Once the data quality is high, better decisions will be made, and bigger results will be produced.
- For better marketing
Marketing is an integral part of any growing business as it is important to make more sales and constantly increase revenue. However, marketing would be largely ineffective if it is done using inaccurate data.
Instances such as target marketing and setting varying prices according to locations are very important for any company and need to be backed up with the most accurate data.
- To reduce operational cost
Inaccurate data can cost businesses so much, ranging from reduced brand productivity to exorbitant amounts trying to redeem a brand’s reputation. Applying data loaded with errors will not only hurt a company’s overall productivity but will also see a company spending so much trying to repair its image and credibility.
Hence, using accurate data is important to avoid costly mistakes and to prevent a business from bleeding out trying to fix them.
In the same vein, using accurate data is also important to help businesses stay with the trends without missing any significant business opportunities. This does not only help a brand stay ahead of the competition and ensures higher sales and increased revenue.
How businesses gather accurate data
The best strategy for gathering accurate data is web scraping. Web scraping is a process where sophisticated tools are used to communicate with servers and other data sources to extract valuable user data from them.
The process, which can be automated to save time, ease stress, and make the exercise less tedious and more reliable, is now widely used by almost every e-commerce business. However, web scraping can be easily laden with overwhelming challenges such as blockings and restrictions aside from the monotonicity of the process itself.
This is why machines such as proxies are used. Proxies do not only automate web scraping, but they also remove blocking, provide privacy and security for a brand and the data being extracted, as well as bypass restrictions. For instance, by using a Japanese proxy, a brand in the U.K. can easily bypass restrictions and mine data in Japan. In all, they help to make the process easier and the data more accurate.
Summarily, brands that prioritize accurate data must perform web scraping using proxies developed with the best of Artificial Intelligence.
The only way any business can strive and succeed in today’s competitive market is by using accurate data for all of its decisions and actions. It is accurate data necessary to provide informed insights, but it is also important for increasing productivity and inspiring brand growth.
And extracting accurate data is best done through web-scraping, which, in itself, would be almost impossible without the use of proxies. If you’re interested in these topics or want to check a reliable proxy pool (just like the already mentioned Japanese proxy pool), visit Oxylabs and learn more about it.