List of Qlik Compose Customers
King of Prussia, 19406, PA,
United States
Since 2010, our global team of researchers has been studying Qlik Compose customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Qlik Compose for Data Warehouse from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Qlik Compose for Data Warehouse include: Paccar, a United States based Automotive organisation with 30100 employees and revenues of $33.66 billion, Polywood, a United States based Distribution organisation with 1500 employees and revenues of $200.0 million and many others.
Contact us if you need a completed and verified list of companies using Qlik Compose, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Qlik Compose customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Paccar | Automotive | 30100 | $33.7B | United States | Qlik | Qlik Compose | Data Warehouse | 2018 | n/a |
In 2018, Paccar implemented Qlik Compose as part of a Data Warehouse initiative to deliver continuously updated analytics ready data for operations and supply chain analytics in the United States. Vendor communications identify Paccar as an early adopter of Attunity Compose for Snowflake, enabling real time data delivery into Snowflake and supporting analytics consumption.
The deployment emphasized data warehouse automation and continuous data ingestion, using Qlik Compose to orchestrate change data capture workflows, automate ETL and ELT pipelines, and generate repeatable schema and table structures for downstream analysis. Implementation work focused on producing analytics ready datasets and standardizing data models consumed by business intelligence and analytics teams.
Integration with Snowflake is a core element of the implementation, with Qlik Compose configured to stage and load continuously updated data into Snowflake for operational and supply chain use cases. The operational scope described in vendor materials targets analytics across Paccar’s United States operations, feeding analytics teams and decision makers with fresher data.
Governance activity centered on standardizing dataset definitions and automating pipeline refresh to support consistent analytics consumption, and vendor statements cite improved insights and decision making as an intended outcome of the Qlik Compose deployment. Qlik Compose is documented as the orchestration and automation layer in Paccar’s Data Warehouse architecture, serving business functions in operations and supply chain analytics.
|
 |
Polywood | Distribution | 1500 | $200M | United States | Qlik | Qlik Compose | Data Warehouse | 2016 | n/a |
In 2016, Polywood implemented Qlik Compose for Data Warehouse automation. Polywood implemented Attunity Compose, now Qlik Compose, to automate data warehouse and data mart creation, unifying ERP, CRM and third party geospatial feeds to support manufacturing and sales analytics in the United States. The deployment centralized data provisioning for analytics across manufacturing and sales functions and established a repeatable pattern for data mart creation.
Qlik Compose was configured to automate ETL generation, schema creation, and data mart provisioning, shifting work from handcrafted ETL development to metadata driven pipeline generation. The implementation emphasized orchestration of source to target data flows and automated staging and dimensional model creation typical of Data Warehouse solutions. Configurations focused on accelerating time to analytic-ready data sets for BI consumption.
Integrations explicitly included ERP, CRM and third party geospatial feeds as source systems consolidated into the enterprise Data Warehouse. Operational coverage targeted manufacturing operations and sales analytics workflows in the United States, enabling standardized data marts for reporting and analysis. The architecture supported repeatable data mart patterns to reduce project lead times for new analytical requirements.
The public case study reports creation of a data mart in one day versus 5 to 10 days previously, documenting a dramatic reduction in ETL development time. The primary outcome reported was significantly faster, more effective decision making for manufacturing and sales analytics.
|
Buyer Intent: Companies Evaluating Qlik Compose
- Market Gain, a United States based Retail organization with 10 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||