What Are Open Source Embedded Analytics?
Open source embedded analytics are non-proprietary analytic tools that can be integrated with a company’s own software or hardware. Published under an array of specific licenses, open source code enables professional and amateur developers to view, explore, and modify codes for the benefit of all.
The communal effort that goes into creating different open source code products and the number of eyes that are constantly on the code helps it constantly evolve and improve.
Companies that utilize open source analytics within their proprietary offerings benefit in tangible ways. The active programming community that creates, builds on, and maintains these codes are vigilant about catching bugs and quickly creating patches to keep applications that are running the code from faltering.
Similarly, community intervention identifies security issues and addresses them quickly, making them an extremely safe software component for companies to utilize. Open source analytics facilitate creative data solutions that keep companies innovating regardless of their budget or IT prowess.
How Can I Use Open Source Embedded Analytics?
General industry trajectories, the size of a company and its specific business objectives all play a role in determining the scope of data analysis a company needs. Nevertheless, B2B and B2C companies of varying sizes can benefit from integrating some form of open source analytics into their platforms.
By including open source analytics suites within their applications, companies can expedite the process of understanding their data and gain better insights from operations.
For example, a factory could integrate open source embedded analytics into their plant management programs to track employee efficiency, machine maintenance, conversion patterns and more.
Similarly, a retailer could embed open source analytics in their CRM technology to formulate a better understanding of customer behaviors, preferences and journeys. In both cases, open source prescriptive analytics can not only clean data or locate trends but provide concrete steps for improvement.
See it in action:
Although companies can use different open source analytic packages to flexibly craft their own unique analytic technology, they can also choose to outsource their analytics to third-party providers that bundle open source with proprietary analytic functions to create unified analytics solutions.
Companies with large quantities of data or meager IT resources can utilize these types of branded analytics to enjoy all the benefits of open source analytics while also receiving oversight and support from a dedicated third-party IT team.See Sisense in Action