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Will Machine-processed Data Vs Human-verified Data Ever Rule the B2B World?

  • marketingpromotion02
  • Oct 28, 2021
  • 3 min read

Updated: Oct 29, 2021



B2B data is now a commodity at the center of all business operations. Whether you plan to expand to new markets or looking to discover and engage new prospects, you need data to make informed and effective decisions. The question is- which data?


27% of business leaders aren’t sure how much of their data is inaccurate. What this reflects is the utter state of confusion where companies simply can’t run at their potential because they don’t have the required data.

Machine processed data can become outdated. It keeps changing and while good data (human verified data) enables businesses to make informed decisions, bad data can mislead them into making blunders.

Hence, it has to go through a verification process.


Why is Data Verification Important?

The core purpose of data verification is to make sure that the data you have is accurate and reliable. No data provider can provide 100% accuracy. Thus, it’s important to consider the data partner who can offer data that’s accurate and reliable to maximize the productivity of your sales reps.B2B data on average decays at around 70% every year. So even if you do all you can and clean your data to achieve 70% accuracy, a significant portion of it would go stale in a matter of months.

So while it is always good to take concrete measures to clean your data, the best strategy is to just follow the best practices or simply outsource the data needs to skip all the trouble.


How Does Verified Data Increase Your Business potential?

On the other hand, verified data can increase your bottom line by providing the following benefits:

A shorter sales cycle that can significantly reduce the time spent on prospecting. Better segmentation of your prospects to execute multi-level marketing campaigns. Minimize the time and resources spent on chasing the unqualified prospects. Increased ROI. Improved sales and marketing productivity and morale.


Will Machine-processed Data Vs Human-verified Data Ever Rule the B2B World?


Raw B2B Data Collection

Raw data – which is also called atomic data, primary data, source data, or unprocessed data – can be seen as the first step in the whole process of processing and using data. Raw data comprises data that has been collected but not yet analyzed or processed. There is no precise answer to this question, but the right answer would be- from everywhere. Harvesting raw data is primarily done through web scrapers, and it collects obscenely large amounts of data- often running into tens of millions of contacts. Generally, they work on pre-determined algorithms and parsing methods to collect everything that matches the given pattern. But though large in quantity, they have very poor quality. There are empty fields, inconsistent or redundant data, format issues, contradictory data, and many other problems. After raw data is collected, it’s time to extract information out of it. This can be achieved either through the machine or manual processing- each with its own set of benefits and shortfalls. We employ a combination of both.


Machine processing

Machines are better able to efficiently consolidate data points and analyse the data for meaning; something that would take humans exponentially more time. This has wide applications from improving content marketing to customer service to upsell opportunities. This is the first and rather easier part of data processing. Backed by technologies like AI and Machine Learning, huge quantities of data are processed to eliminate much of the problems of raw data. But machine processing alone can take data quality only so far.


Human-verification

Once machine processing delivers reasonable data quality, it’s time for the slow arduous process of manual verification. Researchers go through each data entry, correct for any mistakes, and verify the information for accuracy. Human-verified, as the name suggests, is data that’s verified by humans. The volume of the human-verified data is often comparatively less than the machine-processed data. However, you can mostly trust the accuracy of the human-verified data. Let us compare and contrast machine-processed data vs. human-verified data. Quality Of Data Reliability Cost Involved Potential To Scale

Return On Investment


Who Is The Winner?

Step 1: Raw B2B Data Collection Step 2: Data Verification Through Machine Processing Step 3: Final Human-verified Data Verification

Conclusion

There’s no way around it, bad data impacts every aspect of a business — from lead generation to marketing, customer relationships, cold calling, and revenue.

Email Us: hello@leadsintel.io





 
 
 

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