Why is data accuracy important?

Why is data accuracy important?

For firms relying on data-driven decision-making, data accuracy is important. Companies can make poor judgments, costing them time & expense if they don’t have correct data.

In 1998-1999, NASA had lost a spacecraft due to a metric math error, which resulted due to data inaccuracies.

As a result, data accuracy, associated with proper data extraction is an important indicator that companies should monitor to ensure they make the best judgments possible.

Because most businesses today employ artificial intelligence-based business tactics, data accuracy is critical to their success. ML is in high demand in various marketplaces due to its use cases.

According to the study, 60% of firms have already integrated this technology, and 50% use it to build relationships with their customers.

There’s no questioning that AI and machine learning improve the competitiveness of modern firms, and these enterprises anticipate certain advantages from such technologies.

Source : dataladder.com

What does data accuracy imply?

The most important part of data quality is data accuracy. It guarantees that your company’s business operations are based on accurate and timely data, resulting in improved decision-making skills, covering planning, predicting, budget intelligence, and more!

If the data is not relevant or is erroneous, it might cause major disruptions in the business’s operations.

Why is data accuracy so critical for businesses?

The only secure way to implement the latest, advanced technologies and maintain a competitive edge is to get data management correctly.

The more modern technology enterprises use, the more data is generated. All that data growth is a lucrative opportunity for you to boost your profits.

Because data is so important, data accuracy is critical to your company’s success. As the quality rises, the better the chances of success become. Here are five compelling reasons why high-quality data is critical to your company’s success.

Accurate data allows for better decision-making.

The best data quality ensures that all those who rely on it can have faith in it. Users will get to generate good outputs if there is higher data quality.

This improves company efficiency while lowering the likelihood of negative effects. Businesses may improve their whole decision-making procedure and effectively eliminate the risks along the way with trustworthy outcomes.

Productivity Gains

The value of accurate data extends far and beyond decision-making. It has a direct link to productivity.

Accurate data makes the jobs of your staff a lot easier. Your team can focus on important objectives and responsibilities instead of wasting time looking for and repairing data problems.

Lower Costs Due to Data Accuracy

Data inaccuracies are costly for every organization, but the risk is even bigger than just losing money. Poor data quality will negatively impact your brand’s reputation, production, and effectiveness and drain the financial resources.

The most serious issue with bad data is that one inaccuracy leads to several errors, and detecting and correcting these errors takes a long time.

Poor data also makes it difficult to keep up with the current marketing trends, resulting in missed commercial chances.

Marketing Enhancement

Nothing is more important for any marketing effort than data accuracy, so its value cannot be overstated. You can market to the right audience with high-quality data, saving time and money.

In return, sending the right message to the right people implies better marketing and enhanced sales.

Target marketing produces tangible results and aids in expanding your business, but it also lets you keep your clients engaged with your brand.

Assists with Compliance

Following numerous regulations is critical for any organization, as it directly impacts your customer connection.

Thus, maintaining the higher quality data means the difference between complying with the law and paying excessive fines. Regulations are constantly changing, and your business must adapt to keep up. Maintaining data accuracy is the only method for this.

Criteria for data to be accurate

Here are a few pointers on how to increase data accuracy.

  • The organization must establish a data quality goal. The organization’s top management must take the initiative to address the fundamental issues affecting data accuracy. It must also set realistic goals for the data input crew.
  • Don’t put too much pressure on the data input staff. There is a probability of data entering errors if the data entry staff is under pressure.
  • Have a reliable data source to increase data quality.
  • Conduct a data quality audit from time to time to identify common concerns such as duplicate data, insufficient information, and so on.
  • The company can use the Data Quality Assurance Program to guarantee that the data collected from diverse sources are correct and useful. This solution will assist the company in recording and storing relevant data.
  • Finally, ensure that proper data processing is being followed for more efficient results.

The significance of data governance

Data is an organization’s most valuable asset. Data governance makes sure that information is accessible, useable, and secure. Data governance allows for improved data analytics, thus leading to better decision-making and operations support.

Conclusion

The more accurate (and error-free) your data set is, the better you’ll be able to analyze your findings to support decisions.

The accuracy of data is critical to every digital organization. All current technology is useless because the data quality you offer determines the outcomes you get.

The more accurate the information you supply, the more likely you are to be able to leverage technology for reaching your target audience, enhance your profits, and outperform the competition. You can utilize the services of Klearstack for enhanced data accuracy.

Ashutosh Saitwal
Ashutosh Saitwal
www.klearstack.com/

Ashutosh is the founder and director of the award winning KlearStack AI platform. You can catch him speaking at NASSCOM events around the world where he speaks and is an evangelist for RPA, AI, Machine Learning and Intelligent Document Processing.