{"id":10580,"date":"2021-02-23T14:39:09","date_gmt":"2021-02-23T13:39:09","guid":{"rendered":"https:\/\/www.digdash.com\/?p=10580"},"modified":"2021-02-23T14:39:09","modified_gmt":"2021-02-23T13:39:09","slug":"embedded-analytics-digdash","status":"publish","type":"post","link":"https:\/\/www.digdash.com\/en\/news-articles\/digdash-news\/embedded-analytics-digdash\/","title":{"rendered":"Embedded analytics: a real asset for sites and software"},"content":{"rendered":"

As Business Intelligence develops at high speed, data processing and visualization are becoming major concerns for software companies. But integrating this functionality into an existing application can be a real challenge, especially from a technical point of view.<\/span><\/p>\n

Faced with this problem, the <\/span>onboard data analysis<\/b> (embedded analytics) remains the most cost-effective and easy-to-use solution to implement.<\/span><\/p>\n

What is embedded analytics?<\/b><\/h2>\n

Embedded analytics is a technology for integrating analysis and visualization tools directly into the interface of a site or software. Designed by a third party company, this embedded solution (OEM) integrates naturally into the user’s workflow, <\/span>as Gartner explains<\/u><\/span><\/a><\/strong>.<\/strong>\u00a0<\/span><\/p>\n

In concrete terms, this means that the user can easily consult the data needed, without having to switch to another application. The analyses are integrated into the software platform in a transparent and context-sensitive manner. Thus, a single interface is all that is needed to access all the dashboards and indicators.\u00a0<\/span><\/p>\n

Integrated analytics is therefore a powerful tool for making data accessible to the greatest number of people, including non-specialists. This applies not only to a company’s employees, not all of whom have an IT profile, but also to its customers or partners, who\u00a0 can use embedded analytics to obtain information more easily and optimize their own processes.<\/span><\/p>\n

Business intelligence and embedded analytics: what are the differences?<\/b><\/h2>\n

A business intelligence software collects, processes and exploits a large amount of data from different sources. However, it cannot be directly integrated into the experience offered by your site or software. BI requires the use of a full-fledged tool with a different interface, which is a hindrance to the user experience.<\/span><\/p>\n

That is what embedded analytics is all about: merging data in an environment entirely designed for your users. <\/span>Reports, dashboards and other visualizations are an integral part of your solution. <\/b>This direct access to contextualized data is a real asset, since it allows for better information, and improved decision-making.<\/span><\/p>\n

The different applications of integrated analytics<\/b><\/h2>\n

Embedded analytics can be used in two main cases: within a software application, generally SaaS, or in an extranet portal.<\/span><\/p>\n

Integrated analytics in software<\/b><\/h3>\n

Thanks to embedded analytics, <\/span>software companies can bring real added value to their products<\/b>. Visualizations and dashboards allow users to add the information and context they need. This promotes the adoption of the tool, while paving the way for more in-depth and accurate analysis.<\/span><\/p>\n

New LogUp, consulting and publishing company of business intelligence software, contacted DigDash to deploy its Orison M platform, dedicated to SMEs. Initially developed for the road transport sector, it offers business-related indicators in a good number of sectors, and makes it possible to monitor the profitability of the company and its operational activities as closely as possible to the reality on the ground. These indicators are calculated on the fly using integrated data analysis.<\/span><\/p>\n

Analytics also finds its place in business applications: CRM, HR, among others. This enables users to make better decisions based on data, but also to improve their daily work processes.<\/span><\/p>\n

Another example: Arcure, a company specializing in industrial safety, is developing the Blaxtair perimeter protection system for work machinery and industrial vehicles. Blaxtair Connect retrieves data collected by the machines equipped with the detection system. Combined with DigDash Enterprise, the system now makes it possible to present this data through dynamic and comprehensive dashboards. <\/span><\/p>\n

Discover <\/span>Arcure’s full testimonial<\/u><\/span><\/a>.<\/strong><\/p>\n

Arcure | Strengthen industrial security thanks to dataviz<\/a><\/p><\/blockquote>\n