Data is extracted from different sources, such as databases, files, or APIs, to gather the relevant information needed for analysis or storage.
In this step, the extracted data undergoes a series of transformations and is loaded into a target system, such as a data warehouse or data mart. Transformations include cleaning, validating, and restructuring the data to ensure its quality and consistency.
Once the data is transformed, it is visualized using charts, graphs, dashboards, or other visual representations. Data visualization allows for the intuitive and interactive exploration of data, making it easier to identify patterns, trends, and insights that can drive informed decision-making.
No matter if you are planning to integrate
whole data warehouse solution to optimize business based on your needs, or if you just need specific assistance in mastering your marketing analytics with the customer journey and session attributions.
A central collection of business data created for analysis purposes. It is part of the strategy for business intelligence solutions and supports companies in their decision-making. Learn here how data warehouses work, how they differ from other data stores and how you as a company can benefit from data warehousing.
Providing data identification, collection, storage, processing, and usage insights to companies that want to harness their data capabilities. Working with big data experts helps a company unlock the power of data to its advantage.
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The process of transforming raw data so that data scientists and analysts can run it through machine learning algorithms to uncover insights or make predictions.
The graphical representation of information and data. By using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data. Additionally, it provides an excellent way for employees or business owners to present data to non-technical audiences without confusion.