NOVEMBER 2019CIOAPPLICATIONSEUROPE.COM 19loaded into BiliimBI's scalable, high performance, built-in data store with a single click to provide better performance and in memory computing over large data sets. As a BI software vendor, we are investing heavily on machine learning and artificial intelligence techniques and technologies for providing actionable insights from raw data and uncovering hidden relationships between data sets. We are also researching for newer, better and more efficient ways of metadata management and data quality management using ML and AI technologies. Unlike many other BI systems that allow data access rights to be defined at the reporting level, BiliimBI lets administrators define access rights at source level. BiliimBI takes advantage of a mature cost based query optimizer and columnar in memory data analytics structures that improve query times significantly. Whether it is analytics in place or with transferred data, these components help to keep query times at its best. We leverage advanced data caching mechanisms and in memory columnar structures combined with query optimizations to provide satisfactory response times for even most complex data analytics scenarios.Please elaborate on next generation BiliimBI system that you offer and how is it going to benefit the clients who come on board to avail your service?We see BiliimBI as a data platform rather than just a BI system. Most of the BI software today focuses on data visualization, but we see data as a whole and try to incorporate data preparation, data virtualization and data consolidation so that the advanced users like dashboard designers and data publishers can use our system as easy and fun as our end users do. We invest on democratization of data so that every stakeholder can reach the data they need within their access rights. We use dashboards from which real-time data from various sources can be pulled for analysis. We offer the best integration with big data sources like Hadoop, Hive, Hbase etc. and try to eliminate technological differences between data systems for providing a common layer for data analysis regardless of the technologies used for data storage and management. Our single click web service support makes the data behind the dashboards, reports, queries or widgets instantly available through a web service. This enables easy data flow between users and systems and provides a secure data exchange between them with extensive data access logs. BiliimBI is built on highly horizontal scalable architecture that can be extended easily to overcome data volume or user's performance issues.Can you cite a customer success story where BiliimBI helped in overcoming real life business challenges? Acibadem Healthcare Group, having 22 hospitals, 15 outpatient clinics, and nearly 22500 employees chose BiliimBI for their strategic medical reporting and analysis requirements. Acibadem Healthcare Group uses BiliimBI for detecting anomalies about the treatment, and takes data driven decisions accordingly. The healthcare group uses the cellular level data security feature of BilimBI effectively, and produces a single report. And for that reason, the healthcare group eliminates the need of preparing different report for each hospital. The feature also enables the Medical Directorate view the report on the same dashboard.Looking ahead, where do you see BiliimBI? What does the future hold in BiliimBI's roadmap?We have a mission to maintain and improve our position as the leading BI solution provider in Turkey leveraging technology and innovation. We see Augmented Analytics and data platforms that leverages machine learning, artificial intelligence, and natural language processing techniques as the future of data analytics and make significant investments in this area. We are planning to become a global player in the analytics software market in the near future by collaborating with resellers, solution partners and distributors. We are open to all kinds of global business partnerships right now that will bring our products and services accessible to a wider spectrum of clientele who faces data analytics challenges.
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