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Analytical applications
Data Warehouse
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Solutions & Process Audit
Analytical applications
Data Warehouse
Customers
Contact us
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Trainings
Thank you for your interest in Qlever Tech services. Please take a few moments to provide us with some basic information to help us get in touch with you.
Which specialists use the analytical application?
Analysts (data professionals and data citizens)
Functional specialists (office workers)
Field staff (e.g. store salesmen, sales agents)
C-level Managers or Executives
In what language do you need trainings?
English
Russian
Other
In what mode the analytical apps are used?
Reporting and guided analytics. A method of accessing analytical information when the user works with reports or pre-defined indicators and dashboards. Lets you study your field in-depth by applying filters or drilling down at the click of a mouse to study indicators in more specific detail.
Self-service. Analytical applications that let analysts and business users connect to data sets in self-sustained mode and create their own data models, dashboards, and graphs.
ETL (extract, transform, load) or streaming. The analytical solution processes data and delivers it to other applications.
SQL requests. Direct requests to data warehouses and loading data into MS Excel files.
How many employees should be trained in Qlik?
Data citizens
Studying the platform will let any employee work with existing applications. Analysts need to first and foremost explain the results of data analysis, and also know what to do with them after. Knowing how to create reports and visualizations will let them explore data independently. This will open the door to creating new indicators.
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BI administrators
Set up applications and manage their environment. They need to be able to configure network, server start parameters, control visualization flows, and set up user access to BI applications. Administrators need to fix compatibility and connection issues, as well as keep track of the BI application using continuous monitoring and periodic audits.
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Developers and architects
Responsible for the data model, meaning data extraction, transformation, and loading to target applications (ETL). This requires a deep understanding of data architecture principles and working knowledge of the built-in platform scripting language. They also need to study the best practices for Qlik applications development. This will help minimize errors that could lead to low application performance and difficulties with administration.
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Product managers
Combine requests from multiple departments and align development with company goals. Determine task priorities, motivate teams, and decide when a new function, new data source, or new indicator get added. On top of technical expertise, managers need to be able to lead projects and be familiar with digital business transformation practices.
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Contact Information
Industry
Consumer
Retail
Horeca
Energy, Industrials and Resources
Financial Services
Life Sciences and Health Сare
Government and Public Services
Real Estate
Technology, Media and Telecom
Transport and Logistics
Travel & Hospitality
Other
Number of employees
1-10 employees
11 - 50 employees
51 - 200 employees
201 - 500 employees
501 - 1000 employees
1000+ employees
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