It's time for spring cleaning, including your enterprise data stores, says data expert Joey D'Antoni, who offers front-line data-hygiene advice straight from the IT trenches. "Data can be one of our ...

Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...

1. Ask the right questions. Effective problem-solving with data isn't a one-size-fits-all solution. Crafting relevant questions is pivotal, contingent on your industry niche.

A thorough data audit will help you identify gaps and inefficiencies in the data collection process. Nobody wants to be the bad cop, but almost every organization needs one.

This process could lead to the revelation that the business needs to consider an entirely different type of data collection and management to reach their goals.

Agencies should establish consistent data formats and terminologies that can easily be shared and understood across different departments. Consistency can make cross-data aggregation and sharing ...

1. Prepare the Data. The first step in training an AI model is preparing your data by collecting, cleaning, and preprocessing the information you will use to train the model.

The data mining process is usually broken into the following steps. Step 1: Understand the Business Before any data is touched, extracted, cleaned, or analyzed, it is important to understand the ...