What’s the Challenge?
“Garbage in, garbage out” is a common proverb that emphasizes
the importance of good quality data.
Managing massive amounts of disorganized, irrelevant, and low-quality data can be difficult.
This leads to :
How to begin?
Plan ahead of time for all needs, including the scope of data you require, data sources to integrate, and most importantly, the business requirements you must meet.
The ability to Capture high-quality data is critical to the success of a data warehouse. Data governance policies and procedures are required to ensure that the data is accurate, complete, and consistent.
Simplify data requirements across stages for various needs while keeping security, scalability, and data redundancy in mind.
Good Visualization or analytics can assist users in identifying patterns, trends, and insights that may not be obvious when looking at raw data.
It helps to Strategize your plan in decision-making, improved problem-solving, and increased efficiency in a variety of fields, including business, science, healthcare, and education, using real data and visualization.