Data Integration

"Data in the 21st Century is like Oil in the 18th Century: an immensely, untapped valuable asset. Like oil, for those who see Data’s fundamental value and learn to extract and use it there will be huge rewards."

-- Joris Toonders


The data integration tool market has established a focus on transformational technologies and approaches demanded by data and analytics leaders. The presence of legacy, resilient systems and innovation all in the market together requires robust, consistent delivery of highly developed practices.  Our ETL work has helped casinos optimize their ETL runtime by over 1,000%, making patron data more accessible and therefore much more useful. We have also helped companies migrate their complex marketing systems into simpler SQL datasets, thereby gaining substantial cost savings.

The market for data integration tools includes vendors that offer software products that enable the construction and implementation of data access and data delivery infrastructure for a variety of data integration scenarios. These include Data acquisition for business intelligence (BI), analytics and data warehousing — Extracting data from operational systems, transforming and merging that data, and delivering it to integrated data structures for analytics purposes. The variety of data and context for analytics is expanding as emergent environments, such as non-relational and Hadoop distributions for supporting discovery, predictive modeling, in-memory DBMSs, logical data warehouse architectures and end-user capability to integrate data (as part of data preparation), increasingly become part of the information infrastructure. Data integration challengers are intensifying because of the increased demand to integrate machine data and support Internet of Things (IoT) and digital business ecosystem needs for analytical processes.

The explosion of data because of social media and the ubiquitous use of mobile devices has increased the need for data lakes, Hadoop-based DWs, real-time data warehouses as well as cloud solutions. The need to integrate non-relational structures and distributing computing workloads to parallelized processes (such as in Hadoop and alternative NoSQL repositories) elevates data integration challenges. At the same time, it also provides opportunities to assist in the application of schemas at data read time, if needed, and to deliver data to business users, processes or applications, or to use data iteratively. In addition, the differing structure of IoT or machine data is introducing new integration needs.

Intelligencia has a long history of integrating DI solutions, such as Alteryx, SAS DI, Datameer, HANA, Hadoop, amongst others. We also spend considerable time and effort integrating data streaming solutions like Spark, Flink, Storm, and Streambase, with standard EDWs to increase customer experience technology. 



Intelligencia has worked with multiple casinos and sports books as well as with a large Asian cruise line to implement complex BI visualization dashboards. We'll help you understand all your options, both commercial and open source. ROI is king here.

Check with our team for more information about the services we offer.  


Don't be shy.

We'd love to hear from you. 

Reach out to us and let us know about your analytics, data integration, and marketing needs.

505 Hennessy Road, #613, Causeway Bay, Hong Kong

+852 5196 1277

Rua da Estrela No. 8, Macau 

+853 6616 1033


We are here to help you navigate the complex world of analytics, AI, BI, CX, Cloud, DI, digital marketing, and social media implementations, showing you how open source technology can, potentially, augment your current software footprint and reduce cost. We understand ROI is king, above all else.


Address: 505 Hennessy Road, #613, Causeway Bay, Hong Kong

Phone: +852 5196 1277 (HK)

Phone: +853 6616 1033 (Macau)

WhatsApp: +853 6616 1033



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