Sinequa - Revolutionizing Enterprise Search with Big Data Visualizations
Sinequa is a real-time big data search & analytics platform for Fortune Global 2000 companies. It provides enterprise search capability, or more accurately, Unified Information Access for structured and unstructured data, supported by powerful analytics.
Sinequa is at the forefront of an industry-wide shift from an intranet search engine to a global unified information access platform with content analytics as the core. Traditionally, intranet search engines have always indexed non-structured data like documents, email, and social networks. Today, Sinequa allows its customers to manage both unstructured data and structured data by combining them efficiently. They do this by applying big data techniques such as entity extraction and text mining.
Sinequa decided to refresh their platform's user interface so that it would be a stronger candidate for users who want to switch from an intranet search engine to a global unified information access platform. They wanted to provide the same kind of dashboards, KPIs and visual trends that users are used to seeing with structured data, for unstructured data as well. Luc Manigot, COO, Sinequa, says 'This was particularly challenging because of the 120 indexing connectors that pull in extremely high volumes of data, and the complex data types we handle.'
For this, Sinequa needed HTML5 compliant charts that work on all devices and browsers. Additionally, the chart library would need to have advanced sorting, filtering, and drill-down features to plot the varied data types being crawled by Sinequa's platform. Apart from these major requirements, they also wanted the flexibility to add visually appealing 3D charts to certain sections of their dashboard.
Sinequa reviewed various options for creating rich, interactive dashboards, and finally decided on FusionCharts. They found FusionCharts to have the most comprehensive offer in terms of a capable product that works across all devices and platforms, has delightful visualizations, readymade demos, and responsive tech support. Luc says what sealed the deal for him was a look at the impressive list of FusionCharts customers.
Sinequa implemented the new dashboards to much appreciation from their customers. Luc comments that the new dashboards 'opened the minds of customers coming from traditional enterprise search to new possibilities with a unified information access platform.'
Here's an example of how a call center uses Sinequa to track customer sentiment, and in turn, use this insight to improve their training. Sinequa's platform first transcribes the calls from audio to text format, then orders them into various categories, and finally analyzes the sentiment - positive, or negative - for each call. This complex process is presented to the user in the form of visualizations that can be analyzed and acted upon.
Sinequa uses visualization not just to present data, but to analyze it too. The 'Graphical boxes' feature of Sinequa visualizes a set of metadata in which each zone is clickable, enabling the graphic to be an efficient refinement tool. This way a user can quickly extract meaning out of large data sets.
Not just presentation, and analysis, Sinequa even uses visualizations to help users navigate within the dashboards. For example, Search Based Applications (SBA) developed on the Sinequa platform may start off with a query and then continue in a query less fashion by having users navigate the results using visualizations. Clicking on the interactive elements triggers queries without the user explicitly formulating them. This saves the user a lot of time, and makes the user experience extremely intuitive.
These visualizations give Sinequa the competitive edge, and further strengthens their position as a leader among enterprise search solutions. Luc Manigot says that 'Sinequa provides Extended BI capabilities on any kind of unstructured data, thanks to FusionCharts.'