Data Life Cycle : Learn What Data Analysts Do With Data After Analysis

There is a time for everything even data. There is a time to collect data and a time to destroy data. It is critical for data analysts to understand this concept in order to work within ethical guidelines when it comes to data security.

Data life cycle refers to the total amount of time data spends in your system. From the moment your data is captured, it travels through a life cycle that encompasses all of the steps it goes through. The following is a description of the data life-cycle.

Plan: Questions such as what type of data do you require, how will the data be maintained, who is responsible for the data, and others are asked about during this stage. Questions such as what type of gadgets are used and how many people live in each house can play a big part in this planning stage of an electricity company trying to figure out how to reduce energy costs.

Capture: is the process of collecting data from various sources. It includes any creation of new data, as well as the acquisition of data from external sources. So, this is the time when the data comes into your organization. In the case of the electricity company, they bring in pre-existing or new data to answer the question “how to save energy costs.

Manage: Data must be stored in a stable environment and carefully maintained. Processes like data storage, safety tools, and data upkeep are all part of this. Data is often processed in some way during this step, such as encryption, compression, cleansing, or transformation.

Analyze: Users can access and alter data as needed throughout this phase, as well as perform other data-related tasks like collaboration, business intelligence, sophisticated analytics, and visualization. Additional data may be generated as a result of data usage, which must then be kept and analyzed.

Archive: Organization data can be archived when it’s no longer needed for daily operations. The data might still be needed at some point for compliance, analysis, reporting, or other purposes. It must remain available and viable, but it must also be fully protected, just like active data.

Destroy: When data reaches the end of its useful life, it can be permanently deleted, but it must be done safely and in accordance with existing data protection laws.

NOTE: It’s possible that the life cycle isn’t linear. Occasionally, we may need to complete numerous phases at the same time.