ETL/ELT data integration

Bring the data into one place
with the ETL/ELT process.

Unify data from different sources through convenient processes.

Data integration using ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes is an approach to collecting, processing and loading data from different sources into one common database for business analysis, reporting or other analytical operations.

Scope of service

Strategy

Together with the client, we agree on a strategy for the implementation of Business intelligence tools, matching the direction of development of his organization.

Deployment

During the implementation of BI, we install, configure, test, train and prepare documentation. We help at every stage.

Tools

After setting the objectives and expected results, we help in the selection of the tools required for implementation, guided by the chosen strategy.

Maintenance

After the implementation, we transfer all know-how to the customer's resources. All this so that the service in the future can be carried out without additional assistance. Vizyble specialists will be happy to answer any questions and support you in maintaining the process.

ETL process

The ETL process is a method of moving data into an easily accessible repository. It helps migrate data from distributed systems, centralizes it and converts it to different formats and types to maintain consistency with the target system.

ELT process

ELT is the process of extracting data from one or more sources and loading it into a target data warehouse. Instead of transforming the data before storing it, ELT uses the target system to transform the data.

Solutions tailored to your business

It is our role to select the best possible solution for your company. After an initial analysis of your environment, we will select the best set of tools to make the integration go quickly and smoothly.

Service implementation process

Free consultation
0
1

Pre-implementation analysis

During a “zero” meeting or workshop, we jointly determine the objectives of the project, its exact scope and the expected functionalities of the Business intelligence solution.

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2

Presentation of the concept

In the next step, we propose how the service will be performed, in accordance with the established requirements. All this is tailored to the environment of a particular company.

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3

BI implementation

During the implementation, we provide the necessary BI tools and implement them in the client environment.

See how it works
— dashboards live.

Finances

Financial Dashboard

HR

Dashboard for HR

Manufacturing company

Dashboard for Manufacturing Company

Marketing

Marketing Dashboard

Logistics

Logistics Dashboard

Production

Dashboard for production

ETL/ELT data
integration tools.

There is a wide range of ETL/ELT data integration tools on the business intelligence market. At Vizyble, we mostly work with Alteryx and Fivetran.

Blog. Learn more about
ETL/ELT data integration.

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In ETL and ELT processes, virtually any type of data can be integrated — from data from ERP systems, CRM, Excel and CSV files, to data from APIs, cloud applications or streaming data. It is crucial to understand their structure and business purpose in order to properly transform and standardize them before analysis.

Yes, a properly scaled ETL or ELT process can bring value to even smaller organizations. By automating data integration, small businesses can make data-driven decisions faster and gain a fuller picture of their business without the need for manual and time-consuming information gathering.

The frequency of data refreshes depends on your business needs and infrastructure capabilities. The data can be updated daily, hourly and even in real time. In practice, a daily or hourly schedule is most often used for data analysis.

No, many modern ETL tools like Alteryx or Tableau Prep offer a drag-and-drop graphical interface that doesn't require you to write code. Thanks to this, even non-technical people can create and modify data processing processes.

We start our cooperation by analyzing business needs and auditing data sources. Only then do we design the ETL/ELT process — so that the data is not only processed correctly, but also actually supports business decisions. We implement the solution in an iterative way with an emphasis on transparency and measurable effects, additionally transferring know-how to the customer.

Most often, we help companies eliminate “data silos”, speed up reporting, eliminate manual errors in analysis, and provide a single source of truth for the entire organization. This translates directly into better management and faster decision making.

Yes, we provide both documentation and training and the possibility of ongoing support. We support customers in the development of ETL/ELT processes — for example, as the amount of data grows or business needs change. In addition, in the implementation process, we take care to work as closely as possible with the client and build his competence.

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