Data is so much more than just numbers on a screen—it's a goldmine of insights waiting to be uncovered. For sales and marketing teams, data analysis...
Maintaining Data Hygiene
Maintaining Data Hygiene
Imagine if Google Maps was using a 25-year-old city plan. Finding directions for where you’re going would take double the effort since the map would be full of errors. Databases are no different – if they’re not organised and updated on a regular basis, they can hinder success in every way your data is used.
In this blog post, we’ll explain what data hygiene is, why you need it, and how to efficiently implement it.
What is Data Hygiene?
Data hygiene or data cleaning refers to the process of keeping data clean, accurate and organised. It involves identifying and rectifying inaccuracies such as duplicate entries, incomplete records, or outdated information. Without proper data hygiene practices, businesses risk making critical decisions based on flawed data, which can lead to missed opportunities, and potential revenue loss.
Why Practice Data Hygiene?
Data hygiene is like keeping your house tidy – it just makes everything easier.
1. It helps with better decision making
Clean data provides a reliable foundation for business decisions. When your data is accurate, you can confidently derive insights that steer your business in the right direction.
2. Avoid unnecessary costs
Poor data hygiene often leads to operational inefficiencies. Wasting time cleaning up data manually can quickly drain resources. By keeping your data in good condition from the start, you reduce these hidden costs.
3. Enhances customer experiences
Accurate customer data allows for better personalisation. With clean data, you can reach the right customers with relevant information, building trust and strengthening customer relationships.
Most common data hygiene challenges:
Data collection errors are a frequent challenge and can appear at any point in the data lifecycle. While errors can easily slip into your system, data can also become outdated or just lose relevance over time.
Given the importance of reliable data for business operations, maintaining consistent data hygiene is critical. Here we’ll review some of the most common issues businesses encounter within their datasets:
1. Data duplication:
Multiple entries for the same customer can distort analytics and lead to a lot of easily preventable confusion.
Duplicate data often happens when data is imported from multiple sources or through manual entry errors.
For example, a customer named John Smith might appear multiple times in a database with slight variations, such as “J. Smith” or “John_Smith,” even though all entries represent the same person.
Duplicate data can skew business insights, reduce operational efficiency, and lead to poor decision-making. Keeping clean data by eliminating duplicates is essential for accurate reporting and effective customer relationship management.
2. Incomplete data:
Missing key information can limit the value of your data.
Most often, an incomplete data error occurs when fields are left blank during data collection or when data isn’t being updated regularly.
Consider when a customer record is missing key details like a phone number or email address, making it difficult to contact them or fully understand their profile. This leads to misinformed business decisions, and missed sales opportunities.
3. Outdated information:
Information often becomes obsolete or incorrect quickly, leading to inaccurate records.
For instance, if a customer moves or changes their contact information but the database still holds their old details, communication attempts can fail without anyone knowing. Relying on outdated data can cause inefficiencies, missed business opportunities, and poor decision-making. To avoid these types issues, it’s important to regularly review and refresh data to ensure it remains accurate and up-to-date.
4. Inconsistent formats:
Different formats for dates, addresses or customer names can complicate analysis. For example, dates might be entered as “MM/DD/YYYY” in some records and “DD/MM/YYYY” in others, or phone numbers might include various formats like “(555) 123-4567” and “555.123.4567.”
Inconsistencies in data can lead to confusion, errors in processing, and inaccurate reporting. Ensuring your data is consistently formatted across all records is essential for maintaining data quality and enabling effective analysis and decision-making.
Here’s how we can help with your data hygiene:
At Sunstone, we understand the challenges businesses face in maintaining clean, accurate, and actionable data. Whether you’re dealing with duplicate records, missing information, outdated entries, or inconsistent formats, these issues can undermine your ability to make informed decisions and optimise operations.
Our expert data cleaning services are designed to eliminate inefficiencies by thoroughly auditing, correcting, and standardising your data. Here are just a few common aspects we can help with:
1. Formatting corrections:
Our cleaning services can automatically identify and correct formatting errors. PureData is designed to automatically detect and correct formatting inconsistencies across your dataset, saving you time and reducing the risk of errors.
Whether it’s phone numbers, dates, or other critical fields, we ensure all data entries adhere to a consistent, standardized format that aligns with your business needs.
2. Data standardisation:
Our process focuses on the standardisation and organisation of your data to ensure consistency across all records, making it easier to use and analyse.
We review each data element and convert it into a predefined, uniform format. For instance, we can standardize all date entries, converting them into a single format such as “YYYY-MM-DD,” regardless of how they were originally entered.
We can ensure that other critical data, such as addresses, phone numbers, and names, adhere to a consistent structure that aligns with your business’s requirements. Improve the overall quality of your data and enhance its reliability for decision-making, reporting, and integration with other systems.
3. Data deduplication:
By removing duplicate entries, we help maintain a single, consistent record for each entity—whether it’s a customer, product, or transaction. Our process ensures that you have a clear, consolidated view of your data. With accurate, unduplicated records, your business can improve decision-making, streamline operations, and enhance the customer experience
Final Thoughts
Don’t let poor data quality hinder your company’s growth or decision-making capabilities. Inaccurate, outdated, or incomplete data can slow down operations, lead to costly errors, and negatively impact customer relationships. At Sunstone, we specialise in comprehensive data hygiene solutions that clean and organise your data to ensure its ongoing accuracy and reliability. By partnering with us, you can unlock the full potential of your data—gaining clearer insights, improving operational efficiency, and making smarter business decisions.
Contact Sunstone today or visit https://www.sunstone.ie/puredata/ to discover how our expert services can keep your data clean and actionable as possible.
Keep up-to-date with more data-backed insights:
Related Articles
The Power of Data Analysis in Sales and Marketing
Why NACE Codes Fall Short, and How MAP is Changing the Game
Since 1970, NACE codes have been the most widely used classification system throughout Ireland and Europe for grouping organisations according to...
Why Business Intelligence is Important for Your Organisation
Navigating the modern business landscape is challenging. While many businesses have access to vast amounts of data, without the right tools, that...
Recent Comments