Unlocking the Hidden Value in Your Data: How Data Cleansing Tools Drive Business Growth

High-quality data plays a crucial role in driving business growth and unlocking valuable insights. It serves as the foundation for informed decision-making, efficient operations, and strategic planning. 

When organizations have access to accurate, reliable, and up-to-date data, they can make more effective business decisions, optimize processes, enhance customer experiences, and identify new growth opportunities.

data cleansing statistic

Source: CareerFoundry

Let's delve into how you can drive business growth and manage supplier data with quality data-cleansing tools.

The Importance of Data Quality for Business Growth

Data quality is crucial for businesses to grow and succeed in today's competitive market. 

Accurate and reliable data helps businesses make informed decisions, identify opportunities, and mitigate risks. It is essential to find ways to prevent erroneous data from being a consistent concern for your business. 

To put this concept in perspective, there's a 1-10-100 principle that MonkeyLearn shared perfectly summarizing why you should be proactive with your data rather than reactive. It costs $1 to prevent bad data, $10 to correct bad data, and $100 to fix a downstream problem created by bad data:

the cost of bad data quality over time

Source: MonkeyLearn

The faster you can prevent and resolve incorrect data, the better. Poor data quality can lead to costly mistakes, missed opportunities, and damage to a company's reputation. With the increasing amount of data available, businesses need to prioritize data quality management to ensure they are making the best decisions for their future growth and success.

Consequences of poor data quality include:

consequences of poor data management

Inaccurate Analytics

Poor supplier master data leads to unreliable analytics and insights. Inaccurate or incomplete data can skew analysis results, making it difficult to derive meaningful conclusions or identify actionable patterns. 

This can hinder organizations' ability to understand their performance, customer behavior, and market dynamics, limiting their ability to make data-driven decisions. 

Accurate data is a must if you want to make positive changes to grow your business and your trajectory.

Misguided Strategies

Organizations heavily rely on data to formulate strategies and make strategic decisions. However, if the underlying data is of poor quality, it can lead to misguided strategies. 

Incomplete or inaccurate data can misrepresent market conditions, customer preferences, or operational performance, resulting in ineffective strategies and poor business outcomes. 

The decisions you make based on incorrect data may be the wrong ones and you aren't even realizing it.

Missed Opportunities

Poor supplier data quality can cause organizations to miss out on valuable opportunities. 

Incomplete or inconsistent data may obscure potential procurement trends, customer needs, or untapped segments, preventing organizations from identifying new growth avenues or innovative solutions. Missed opportunities can lead to lost revenue, decreased market share, and reduced competitiveness.

Damaged Reputation

Poor data quality can harm your organization's reputation. 

Inaccurate or outdated data can lead to mistakes in customer communications, billing errors, or poor service delivery. These issues can erode customer trust and loyalty, damaging the organization's reputation in the market. 

The relationships you build with your customer base are what keep your business afloat, so don't risk negatively affecting that aspect.

Compliance and Legal Risks

Poor data quality can result in compliance and legal risks. 

Inaccurate or outdated data can violate regulatory requirements, leading to legal penalties and reputational damage. Organizations must maintain accurate and up-to-date data to ensure compliance with data protection and privacy regulations.

The benefits of data cleaning software include:

benefits of data cleansing tools

Informed Decision-Making

High-quality data provides accurate and reliable information, enabling organizations to make informed decisions. Decision-makers heavily rely on data analysis and insights to understand procurement trends, customer behavior, and operational performance. 

When the data used for decision-making is of poor quality, it can lead to flawed analysis, incorrect conclusions, and misguided strategies, ultimately hindering business growth. 

This is where data software solutions that are geared to help with cleansing can significantly improve the process for your procurement business.

Positive Customer Experiences

Data quality plays a vital role in understanding and catering to customer needs and preferences. Accurate and complete customer data allows organizations to personalize interactions, deliver targeted marketing campaigns, and provide superior customer experiences. 

Conversely, poor data quality can result in incorrect customer profiles, ineffective marketing efforts, and diminished customer satisfaction. 

The customer is your main priority, so it's essential to ensure that your data is of high quality and accuracy to provide positive experiences.

Business Growth

Data serves as a valuable asset for identifying growth opportunities, optimizing processes, and developing strategies. 

High-quality data helps organizations identify emerging market trends, customer demands, and competitive landscapes. It also enables them to respond quickly to market changes, develop effective growth strategies, and seize new opportunities.

Understanding Data Cleansing Tools

Data cleansing tools play a critical role in enhancing data quality by identifying and resolving data quality issues. These tools employ various features and functionalities to validate, standardize, deduplicate, and enrich data, ensuring that organizations have clean and accurate data for analysis and decision-making.

Data Validation

Software tools that perform data validation checks ensure the accuracy, integrity, and consistency of the data. They verify whether the data conforms to predefined rules, such as data type, format, and range validations. 

For example, they can check if an email address is in the correct format or if a numerical value falls within an acceptable range. By validating data, these tools help eliminate errors and inconsistencies, ensuring the reliability of the dataset.


Cleansing software standardizes data by bringing it into a consistent format. This ensures that data is uniformly formatted, making it easier than ever to integrate and analyze. 

For instance, these tools can standardize names, addresses, or phone numbers by applying predefined rules or matching them against reference databases. Standardization eliminates variations, typos, or discrepancies. As a result, this improves data consistency and accuracy.


Data scrubbing solutions help identify and remove duplicate records within a dataset. Duplicate data can arise from data entry errors, system glitches, or data integration processes. These tools employ algorithms and matching techniques to compare data entries and identify duplicates based on predefined criteria. 

By eliminating duplicates, organizations can prevent data redundancy, save storage space, and ensure that analysis and decision-making are based on accurate and non-repetitive information.

Data Enrichment

Data cleaning enhances your reports by enriching them with additional information from external sources. They can access and integrate data from third-party databases, public records, or online sources to supplement existing data. 

For example, they can append demographic information, geographic data, or social media insights to customer records. Data enrichment helps your procurement team gain a more comprehensive understanding of their data, enabling better segmentation, targeting, and personalized experiences.

Bedrock's software cleansing solutions help procurement professionals manage data with ease for supply chain management. Cleansing management tools like these employ advanced algorithms, pattern recognition techniques, and artificial intelligence to identify and resolve data quality issues. You can automatically detect inconsistencies, errors, or outliers in the data, flagging them for further review or correction. 

Additionally, data scrubbing software provides functionalities for data profiling, data monitoring, and quality reporting, allowing organizations to continuously assess and improve the quality of their data.

By using data cleansing tools, organizations can achieve the following benefits:

  • Improved Data Accuracy: Bedrock helps identify and correct errors, ensuring that data is accurate and reliable for decision-making and analysis.
  • Enhanced Data Consistency: By standardizing data, software tools ensure consistency across different sources and systems, facilitating data integration and enabling accurate analysis.
  • Elimination of Data Redundancy: Deduplication features remove duplicate records, reducing data redundancy and improving storage efficiency.
  • Enriched Data Insights: Data enrichment capabilities enhance the value of the data by appending additional relevant information, enabling organizations to gain deeper insights and make more informed decisions through procurement trends.

Streamlined Data Management Processes: Automating the process of identifying and resolving data quality issues reduces manual effort and improves the efficiency of data management processes.

Driving Business Growth with Data Cleansing Tools

By ensuring that your supplier master data is accurate and up-to-date, businesses can identify new growth opportunities. With the help of data cleansing tools, businesses can streamline their operations, improve their bottom line, and stay ahead of the competition.

Explore the various ways data cleaning software can unlock hidden value within the data:

Clean data enables better insights and informed decision-making by providing accurate and reliable information, which leads to more effective strategies and actions. This is achieved through:

  • Accurate Analysis: According to Experian, 94% of businesses believe that accurate data is essential for their analytics initiatives to be successful. Clean data serves as the foundation for accurate analysis and ensures that the insights derived from data analysis are reliable and trustworthy. With cleansed data, decision-makers can have confidence in the findings and recommendations generated through analysis, enabling them to make more informed decisions.
  • Reliable Metrics and KPIs: Your procurement team must ensure that the metrics and key performance indicators (KPIs) used to assess business performance are accurate. Decision-makers heavily rely on these metrics to evaluate progress, identify areas of improvement, and set goals. Clean data confirms that the KPIs are based on valid and consistent data, providing an accurate reflection of the business's performance.
  • Deeper Understanding of Customers and Markets: Data cleansing provides accurate and complete customer profiles, enabling organizations to segment their customer base effectively, identify trends, and anticipate customer needs. As a result, decision-makers can make targeted and personalized strategies to enhance customer experiences and drive customer loyalty.
  • Identifying Trends and Patterns: Scrubbing data enables decision-makers to identify meaningful trends and patterns. Through this process, organizations can uncover insights that may otherwise be hidden by data inaccuracies or inconsistencies. These insights can be instrumental in identifying market opportunities, understanding consumer behavior, and making proactive decisions to stay ahead of the competition.
  • Effective Resource Allocation: By having accurate and reliable data, decision-makers can allocate resources, such as budget, personnel, and time, more effectively. Your procurement operations can gain insight into which areas of the business require investment, which initiatives are performing well, and where adjustments may be needed. This helps your organization maximize resources and achieve better results.
  • Risk Mitigation: Decision-makers can use clean data to identify potential risks, assess their impact, and develop appropriate risk mitigation strategies. This enables organizations to make proactive decisions to prevent or mitigate risks, safeguarding the business's interests and reputation.
  • Agility and Adaptability: When decision-makers have access to accurate and timely data, they can respond quickly to changing market conditions, customer demands, or internal challenges. The data scrubbing process provides the necessary insights to make agile decisions, adjust strategies, and capitalize on emerging opportunities.

Accurate customer data plays a crucial role in enhancing customer segmentation and targeting, leading to increased customer engagement and loyalty. Here's how accurate data contributes to these outcomes:

  • Identifying Valuable Segments: Accurate customer data allows organizations to segment their customer base effectively. By analyzing data such as demographics, purchase history, behavior patterns, and preferences, organizations can identify distinct groups of customers with similar characteristics or needs. Accurate customer data ensures that the segmentation is based on reliable information, enabling organizations to uncover valuable segments that may have specific requirements or a high potential for profitability.
  • Personalized Marketing Efforts: With a deep understanding of individual customers, including their preferences, purchase history, and engagement patterns, organizations can create personalized marketing messages, offers, and experiences. Personalization based on accurate data helps establish a connection with customers, making them feel understood and valued. This, in turn, increases the likelihood of customer engagement, conversions, and loyalty.
  • Targeted Communication Channels: Accurate customer data helps procurement organizations determine the most effective communication channels for reaching their target customers. By conducting this analysis, organizations can identify the preferred channels of communication and procurement trends for customer segments. This ensures that marketing messages are delivered through the right channels, increasing the chances of customers receiving and engaging with the communication.
  • Tailored Product Recommendations: Accurate customer data enables organizations to provide tailored product recommendations. By analyzing customer behavior, purchase history, and preferences, organizations can offer personalized product recommendations that align with individual customer needs and interests. Correct data ensures that the recommendations are relevant and valuable to customers, increasing the likelihood of conversions and repeat purchases.
  • Improved Customer Engagement and Loyalty:  Personalized marketing efforts, targeted communication channels, and tailored product recommendations based on accurate customer data all create an improved relevant customer experience. When customers feel that an organization understands their needs and preferences, they are more likely to engage with the brand, make repeat purchases, and develop loyalty toward the business.
  • Enhanced Customer Lifetime Value: By effectively segmenting customers and delivering personalized experiences, organizations can improve customer retention and advocacy. Satisfied and loyal customers tend to have longer and more profitable relationships with the business, resulting in higher customer lifetime value and increased revenue.

Also, through data cleansing, you can ensure your operations are streamlined and as a result reduce cost. By ensuring that data is accurate, up-to-date, and easily accessible, businesses can make better use of their resources. This can lead to increased productivity, improved customer satisfaction, and ultimately, higher profits. Overall, investing in clean data best practices is a smart investment for any procurement team looking to streamline operations and achieve cost savings.

Moreover, you never want your company's growth to plateau. With cleansed data, you have the opportunity to uncover new growth opportunities. Businesses can better understand their customers, identify trends, and make more informed decisions through data scrubbing. Therefore, when you invest in procurement software tools you'll gain a competitive advantage in your industry.

Why You Should Utilize Bedrock's Data Cleansing Tools

Data cleansing tools are essential for any business looking to grow and succeed in today's data-driven world but only 30% of organizations have a data quality strategy. 

Bedrock's cleansing solution helps to identify and correct inaccuracies, inconsistencies, and errors in data sets, ensuring that the information is accurate, complete, and reliable. By utilizing these software capabilities, your procurement business can improve the quality of its supplier master data, which leads to better decision-making, improved customer relations, and increased productivity.

With accurate data, businesses can identify trends, opportunities, and potential risks, allowing them to make informed decisions that drive sustainable growth and success. Overall, data cleansing tools are a crucial investment for any business looking to stay ahead of the competition and achieve long-term success. See how you can improve and upgrade your supply chain data management today.