Data is the new gold
Of course, in business. Our role is to organize the data, helping you in the development of your organization.
We use the best tools from Qlik/Talend
To provide the right tools for our clients, we have become a Partner of Talend in 2016 as a first polish company. Now we support entire Qlik/Talend ecosystem.
Promity delivers comprehensive services around Qlik/Talend technologies, helping organizations build reliable, high-quality data ecosystems. We combine advanced tools with our expertise to support your data-driven transformation.
Talend Data Fabric
Talend Data Fabric is a unified platform that simplifies and secures your entire data journey — from integration to governance. We help clients implement and configure Talend Data Fabric to connect data across systems, ensure quality, and enable trusted analytics.
Our Talend & Qlik Capabilities
Data Integration
We help organizations connect data from any source, creating seamless, automated flows across cloud, on-premises, and hybrid environments.
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Design robust ETL / ELT pipelines
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Integrate applications, databases, APIs, and files
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Support real-time and batch data movement
Data Quality
We ensure your data is accurate, consistent, and reliable — so your decisions are based on trusted information.
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Detect and resolve data errors automatically
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Apply and monitor data quality rules
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Deliver real-time data validation
Data Preparation
We empower business users with easy-to-use tools for cleaning, enriching, and combining data without coding.
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Self-service data preparation workflows
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Accelerate time-to-insight for analytics
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Collaborate securely on data sets
Data Stewardship
We provide solutions that help data owners and stewards govern data and enforce policies.
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Manage data ownership and approval workflows
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Track data quality and compliance KPIs
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Simplify stewardship with integrated dashboards
Data Catalog (Talend / Qlik Catalog)
We implement modern data catalogs that make it easy to discover, understand, and govern your data assets.
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Automatically scan, index, and document data sources
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Visualize data lineage and relationships
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Enable users to search and trust data
Data lineage
Qlik Sense & AutoML
Qlik Sense is a powerful analytics platform that turns complex data into interactive dashboards and actionable insights. It enables users at all levels to explore data freely with modern visualizations and advanced analytics.
With Qlik AutoML, we help organizations extend these capabilities by applying automated machine learning to predict outcomes, identify key drivers, and integrate predictive models directly into dashboards — no coding required.
Below is an example of using Qlik for milk quality analysis for a Dairy.
Big Data
Is there a relationship between air pressure and the type of movie we go to the cinema? Will it be possible to tell from the purchase history what mood a given person is in at a specific moment and what he will buy in a week?
Although the above examples may seem abstract, BIG DATA sheds new light on them. By looking at the data from a broad perspective, it may turn out that they form certain patterns and structures that are easy to predict.
We approach the world of Big Data based on experience related to data processing and using new tools and methodologies. The business value that we are trying to achieve is based on the use of the synergy between structured data (classic approach) and unstructured data (Big Data).
Application integration
In organizations using dozens or even hundreds of IT systems, it is necessary to ensure consistent and effective communication between them. ESB (Enterprise Service Bus) solutions enable the integration of applications with the use of several dozen recognized patterns (the so-called EIP) including message creation, routing and translation, management of communication channels and end interfaces.
In commercial products, it is possible to monitor the exchange of messages in real-time, as well as management services and security. In the case of the Talend ESB solution, an interesting additional functionality is the possibility of agile creation of services and microservices and the extension of the scope of application integration to Big Data and data integration.
Application integration
In organizations using dozens or even hundreds of IT systems, it is necessary to ensure consistent and effective communication between them. ESB (Enterprise Service Bus) solutions enable the integration of applications with the use of several dozen recognized patterns (the so-called EIP) including message creation, routing and translation, management of communication channels and end interfaces.
In commercial products, it is possible to monitor the exchange of messages in real-time, as well as management services and security. In the case of the Talend ESB solution, an interesting additional functionality is the possibility of agile creation of services and microservices and the extension of the scope of application integration to Big Data and data integration.
Some of our projects
Data Warehouse development and Obligatory reporting (Bank)
IFRS9 Reporting Project: Architecture design, ETL processes implementation. Project and construction of the data warehouse, with particular emphasis on the customer and contract area. Data integration from two central systems.
Fraud analytics in medical services for Insurer
Analysis of fraud in the settlement of medical services for an insurer. Identification of specific fraud cases and determination of their patterns. Use of graph networks, machine learning methods, and dedicated data marts.
Trading Platform System & Master Data database
Designed and implemented system database for markets, issuers, exchange members, products, and instruments. Support development of Master Data database.
Migration of CRM from Siebel to Salesforce and data oriented projects (Large Pharmaceutical Company)
A series of CRM migration projects implemented for several dozen countries. Building of datamarts. Implementation of a solution for studying the treatment history of patients classified for specific diseases. Development of a new data area containing information about reports of malfunctions of medical devices.
Data analytics in the pharmaceutical domain (Large Pharmaceutical Company)
A series of data projects like reporting from studies (results), reporting on drug usage and effectiveness. Technologies we work with: AWS (S3, pipelines, lambda), S3 scheduling, Oracle, TIBCO, Snowflake, etc.
CRM Analytics and AI models
Design of a Big Data-based analytics architecture, using SAS tools, and the Python tech stack. Development of ML models addressing cross-selling and upselling (e.g., financial product recommendation for a specific clients, customer segmentation, customer behavior prediction, fraud detection). Generation of typical suggestions/leads for agent systems.