Data cleansing is critical because humans produce nearly 2.5 quintillion bytes of data every day, making dirty data a concern for businesses of all sizes and industries. Organizations that manage duplicate, inaccurate, or outdated information inevitably face consequences such as:
- Ineffective marketing efforts: Most businesses these days use targeted promotional campaigns. But what happens when the customer information in your records is dirty? It drains time, revenue and effort from your organization.
- Wrong decisions: Data drives decision-making for businesses. However, if decisions depend on it, it can lead to costly ramifications.
- Bad customer experience: A business needs clear, accurate communication to build loyal, long-term customers. When customer data is not cleaned, mistakes occur—such as using the wrong name or sending irrelevant messages. These errors frustrate customers and can lead to dissatisfaction.
Therefore, cleansing is vital for every business. Data cleansing involves identifying and rectifying errors or flaws within a dataset, table, or database. It helps you substitute, alter or delete dirty datasets.
Elements of Data Cleansing
Cleansing encompasses three key elements: standardization, validation, analysis, quality check, and deduplication.
- Standardization: Most businesses utilize datasets from multiple sources, including storage warehouses, cloud storage, and databases. However, distinct sources may not be in a consistent format, which can lead to difficulties down the line. This is where standardization helps. It is the process of converting datasets into a consistent format.
- Normalization: It is the process of organizing data within a database. This involves creating data tables and identifying relationships between them based on rules designed to reduce data redundancy and enhance data integrity.
- Analysis: Analysis uses logical and analytical reasoning to get valuable insights. The derived information helps make sensible decisions.
- Quality Check: Businesses need high-quality information to make informed decisions. Therefore, quality checks are essential.
- Duplication: The process works by breaking the data into blocks and assigning a unique hash code to each block. If two blocks share the same hash code, the system deletes the extra copy. This keeps only the original version. Deduplication can find and remove duplicate data across different file types, folders, servers, and locations.
Importance and Benefits
The storage capacity for most small and medium-sized businesses (SMBs) is limited, but the amount of data generated, transferred, and stored is steadily increasing. The process of deduplication helps tackle this issue by:
- Reducing the storage space requirement by storing only a single copy of a file
- Minimizing the network load since less data is transferred, thus leaving more bandwidth for other tasks
Deduplication helps your business:
- Recover faster after an incident
- Save on storage costs
- Improve productivity
- Reduce version control issues
- Enhance collaboration
- Meet compliance regulations
Always remember that training and process documentation help empower employees to participate in deduplication efforts.
Managing your business and implementing a comprehensive security strategy can be a stressful endeavour. That’s where a great service partner like us can offer a helping hand. Let’s assess your cybersecurity response and develop a plan for your needs. Contact us today to schedule a no-obligation consultation at www.CybersecurityMadeEasy.com
