COMPANY
SERVICES
Solutions & Process Audit
Analytical applications
Data Warehouse
CUSTOMERS
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Company
Services
Solutions & Process Audit
Analytical applications
Data Warehouse
Customers
Contact us
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Request for proposal for services:
Data Integration & ETL
Thank you for your interest in Qlever Tech services. Please take a few moments to provide us with some basic information about your business and technical challenges to help us get in touch with you.
Business challenges
Do you have an inhouse technical staff to support business applications and underlying infrastructure for today?
An inhouse DevOps team
A supporting engineers team
No inhouse IT staff
Please check functional areas the analytical applications relate with
Accounting and Finance
Operations
Sales
Marketing
HR
Production
Supply Chains
R&D
Purchasing
Other
Which specialists will use the analytical data?
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 mode the existing analytical apps are used today?
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.
Do you have ready-made KPIs and metrics, as well as methods for their calculation, or do you need to create them?
ready-made KPIs and metrics
need to develop
industry standard should be adopted
should start with standard and expand through DevOps
Technical challenges
How many new data sources do you plan to connect within 6 months?
0
1-2
3-10
10+
How much new data needs to be processed emerge daily?
500 GB
1 TB
10 TB
15 TB
How will the processed data change in 6 months? (select %)
0%
20%
50%
100%
200%
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
Terms and Conditions
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