Organizations believe that about $15 million losses per year are due to poor data quality. As the data analytics environment becomes more complex, it’s expected that the situation will worsen.
It means businesses and organizations will soon encounter severe data quality issues. It’s why it’s best to keep your data analytics system protected.
Here are five effective ways to improve your organization’s data analytics.
1. Improve Data Analytics through Proper Employee Management
Accurate and effective data analytics all boils down to your employees. Thus, if you’re looking to improve your data analytics, start with employee management.
Take extra steps to decrease the risk of employees making a mistake. You can do this by providing a great working environment.
Fatigue and discomfort, among others, contribute to an employee’s performance at work. Overtired or strained employees experience eye or muscle pain, leading them to press the wrong keys. When it happens, it results in data error.
Protect your employees with comfortable working spaces. Provide them with wrist supports and ergonomic chairs to lessen muscle pain. Allow them to have regular breaks during work with complimentary refreshments at hand.
An overworked employee not only loses the energy to do their job but they’re prone to making mistakes. Keep your employees healthy and happy to ensure minimal data errors.
2. Use Data Analytics Software Tools
Data collection consumes a lot of time especially when done manually. Fortunately, lots of data collection software exist. Data analytics applications reduce work for employees while doing the job faster.
Some helpful software includes Vizlib’s Write back. It enables your employees to edit data in any way they want. Take your time to read more about Write back and how it helps your organization.
3. Standardize and Centralize Data Collection and Entry Process
Improve your data analytic process through data collection and entry process standardization. Having a standard procedure enables you to effectively use your resources.
One way to do this is to set a centralized system where they can view and input data from different sources. It allows for a more effective cross-comparison of data to ensure its completion.
4. Automate and Update Your Data Entry Process
Employees spend a lot of time entering data wasting resources. Automating data entry frees time for your employees while lessening the chances of errors.
However, automating your system is only one part of the job. Update your automated systems to fit industry standards. Without system updates, these programs become prone and vulnerable to malware attacks.
5. Create Effective Data Governance Program
Data governance ensures effective and efficient data usage. It enables organizations to fulfill their goals. It establishes the responsibilities and accountability of all parties involved in data analytics.
Through data governance, every piece of data collected and entered into the system is top-quality and secure.
Use Data Analytics Now!
A strong data analytics system ensures accurate and secure data, improving business functions. Follow these five simple but effective ways to see an improvement in your data analytic system.
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