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Data Analysis consists of 3 Parts
First step: Extract
Data is extracted from different sources, such as databases, files, or APIs, to gather the relevant information needed for analysis or storage.
Second step: Load & Transform
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.
Third step: Visualize
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.
Why you need us?
What we offer
Custom Analytics Solutions
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.
Datawarehouse Solutions
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.
Data strategy consulting
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.
Tracking implementation
In today's business climate, running a website without web analytics is like steering a ship without a compass: occasionally you may be heading in the right direction, but more often than not you'll be blown off course.
We will help you to keep your ship on course!
Data preparation for Machine- Learnig
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.
Data visualization
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.