Data cleaning is that the process of ensuring that your data is correct, consistent and useable. Learn the six steps during a basic data cleaning process.
So you’re working with data to live and optimize your fleet program. Have you ever also added data cleaning to your routine? Here may be a quick overview to urge you started.
No matter the sort of knowledge — telematics or otherwise — data quality is vital. Old and inaccurate data can have an impression on results. Data cleaning, also called data cleansing, is that the process of ensuring that your data is correct, consistent and useable by identifying any errors or corruptions within the data, correcting or deleting them, or manually processing them as required to stop the error from happening again.
The manual a part of the method is what can make data cleaning an awesome task. While much of knowledge cleaning is often done by software, it must be monitored and inconsistencies reviewed. This is often why building a protocol for data cleaning is imperative.
See Also: Open Data and large Data Privacy
Benefits of knowledge cleaning
Here are several key benefits that begin of the info cleaning process:
It removes major errors and inconsistencies that are inevitable when multiple sources of knowledge are becoming pulled into one dataset.
Using tools to cleanup data will make everyone more efficient since they’ll be ready to quickly get what they have from the info.
Fewer errors mean happier customers and fewer frustrated employees.
The ability to map the various functions and what your data is meant to try to and where it’s coming from your data.
The first step when thinking of starting a knowledge cleaning project is to first check out the large picture. Ask yourself: What are your goals and expectations?
6 Steps to Data Cleaning
To achieve your goals and meet expectations on how your fleet data can benefit you, you want to first determine how you will execute data cleanup successfully. A few of great guidelines to follow is to specialize in your top metrics. What’s your company’s overall goal and what’s each member looking to realize from it? An honest thanks to start is to urge all the interested parties involved and begin throwing ideas around.
Here are some best practices when it involves creating a knowledge cleaning process:
1. Monitor Errors
Keep a record and appearance at trends of where most errors are coming from, as this may make it tons easier to spot fix the wrong or corrupt data. this is often especially important if you’re integrating other solutions together with your fleet management software, in order that errors don’t clog the work of other departments.
2. Standardize Your Processes
It’s important that you simply standardize the purpose of entry and check the importance of it. By standardizing your data process you’ll ensure an honest point of entry and reduce the danger of duplication.
3. Validate Accuracy
Validate the accuracy of your data once you’ve got cleaned your existing database. Research and invest in data tools that allow you to wash your data in real-time. Some tools now even use AI or machine learning to raise test for accuracy.
4. Scrub for Duplicate Data
Identify duplicates, since this may assist you save time when analyzing data. this will be avoided by researching and investing in several data cleaning tools, as mentioned above, which will analyze data in bulk and automate the method for you.
After your data has been standardized, validated, and scrubbed for duplicates, use third-party sources to append it. Reliable third-party sources can capture information directly from first-party sites, then clean and compile the info to supply more complete information for business intelligence and analytics.\
6. Communicate with the Team
Communicate the new standardized cleaning process to your team. Now that you’ve scrubbed down your data, it’s important to stay it clean. this may assist you develop and strengthen your customer segmentation and send more targeted information to customers and prospects, so you would like to form sure you get your team in line with it.
Get Your ROI from Data
When you have the task of managing data, keeping on top of consistency and accuracy are two underlying jobs you’ve got to affect every day. These steps should help make it easier to make a daily protocol. Once you’ve got completed your data cleaning process, you’ll confidently move forward using the info for deep, operational insights now that your data is accurate and reliable.
Did you recognize that Geotab telematics data are often easily integrated into other systems? Learn more about our Software Development Kit here.