Intelligencia’s BI experience includes work with some of the largest casino organizations in the world, including Genting Hong Kong (Star Cruises), Resorts World Casino NY, and The Venetian Macao. Our ETL work has helped casinos optimize their ETL runtime by over 1000%, making patron data more accessible and therefore much more useful.  Data visualization is a general term that describes any effort to help people understand the significance of data by placing it in a visual context. Patterns, trends and correlations that might go undetected in text-based data can be exposed and recognized easier with data visualization software.

Today's data visualization tools go beyond the standard charts and graphs used in Microsoft Excel spreadsheets, displaying data in more sophisticated ways such as infographics, dials and gauges, geographic maps, sparklines, heat maps, and detailed bar, pie and fever charts. The images may include interactive capabilities, enabling users to manipulate them or drill into the data for querying and analysis. Indicators designed to alert users when data has been updated or predefined conditions occur can also be included.

Gartner believes that, by 2020, augmented analytics — a paradigm that includes natural language query and narration, augmented data preparation, automated advanced analytics and visual-based data discovery capabilities — will be a dominant driver of new purchases of business intelligence, analytics and data science and machine learning platforms and of embedded analytics. By that time, the number of users of modern business intelligence and analytics platforms that are differentiated by augmented data discovery capabilities will grow at twice the rate — and deliver twice the business value — of those that are not. Natural-language generation and artificial intelligence will be a standard feature of 90% of modern business intelligence platforms. 50% of analytical queries will be generated via search, natural-language processing or voice, or will be automatically generated.

By 2020, organizations that offer users access to a curated catalog of internal and external data will derive twice as much business value from analytics investments as those that do not. Our experience can help you choose the right BI tool for your needs or we could show you how to augment your current BI set-up with some interesting open source choices.