For leaders and decision-makers involved in different businesses such as towing service, they need to add data to their skills and stand to benefit from using data to guide decision making. Most companies recognize that data has enormous importance for their business, and a large percentage of business leaders admit they have problems managing data.
Data management involves planning and controlling the way data is collected, stored, protected, and processed. In business, data is usually associated with prospects, customers, employees, and all other stakeholders. When an organization effectively manages data, they obtain analytical information to make the right business decisions.
Data management includes three basic stages which are collection, storing, and processing. However, protecting your data should be one of the top priorities throughout the entire process. There are different techniques and best practices. However, there is not a single data management plan that fits every business.
There are a couple of steps you can put in place to prevent data your data from misuse.
Enforce data integrity
Data integrity is determined by how consistent your data is. Having data integrity will require involving a smart data collection process. You need to ensure there is some type of filter created to ensure the data you are gathering is valid.
Achieve data quality
For data to be of high quality, it needs to meet three conditions. Must be accessible, consistent, and very relevant. After you have ensured there is data integrity, you must make sure it is consistent. However, if that data is not accessible, it will not meet its intended purpose. Additionally, if data is consistent and accessible but not relevant for your operations, it will be of no value.
Integrate Disparate Database
An average company will always be working with multiple applications. This is the reason software integration is one of the biggest challenges a company can face. Each of your applications will have a database that has multiple characteristics and will need to connect natively to other apps. However, to have an overview of your data, you will need to establish unity among all your software applications.
There are some data management best practices you can implement to ensure your data is working well. You need to introduce data catalogs. Vendors such as Google offer data catalogs as a complementary product for data management. These products are essentially search bars to make data assets easy to find and create categories. If you are running a small business, you can replicate the function of data catalogs by creating an inventory of all data assets you have in your company.
There is also data integration. Note that data is rarely collected by a single platform. Usually, there are several applications put in place for specialized processes, and each has their own databases which are used to gather a fragment of your company data.
You also need to know about data lifecycle management which is mostly used by big companies working with massive amounts of data that need to be categorized into different tiers which normally require complex automation.