Sisense adds a trio of new embedded analytics capabilities

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Sisense on Thursday unveiled new capabilities designed to enable developers to embed and infuse analytics within applications and workflows.

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They include a new integration with the open source development platform, GitLab; a multi-tenant deployment option for Sisense’s platform; and extended embedded analytics applications for the Sisense Extense Framework.

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According to Krishna Roy, analyst at 451 Research, the focus on embedding and inserting data is important — and not just for Sysense, but for all analytics and BI vendors.

Embedded analytics enables business users without a background in data science to work with data in familiar environments. Providing a comfortable environment is one way organizations can make analytics accessible to more potential users.

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“Embedded analytics is valuable because it generally lowers barriers to the adoption of business intelligence by providing insights within applications that people already know and love,” Roy said. “Business decision-makers and others who are not trained and highly skilled in BI and analytics tools can therefore make data-driven decisions more easily.”

The new Sisense capabilities aim to make it easier for developers to combine analytics with business users’ work environments so that they don’t have to look for data and insights in one tool, while doing the bulk of their work in another, according to Amir Orad. Is. , CEO of Sisens.

It’s all about embedding and pouring analytics – with new integrations, allowing people to run them separately with developer tools, in a multi-tenant environment for different customers and users. [in the Extense Framework], Amir OradCEO, Sisens

“It’s all about embedding and pouring analytics – with new integrations, allowing people to run them separately with developer tools, in a multi-tenant environment for different customers and users. [in the Extense Framework],” They said.

new capabilities

Sisense, founded in 2004 and based in New York City, specializes in embedded analytics.

In 2021, the vendor launched the Extensibility Framework, which enabled customers to embed analytics applications built with Sysense — including Google Sheets, Microsoft Excel, Microsoft 365 and SAP — into frequently used work applications — and augmented intelligence and With machine learning capabilities.

In addition, the developer environment came with pre-built APIs to enable more easily embedding analytics into common workplace tools.

Now, Sisense customers can use the Extense Framework with any workplace application, whether developed by an organization in-house, or commonly used, but not supported by the initial Extense Framework release of Sisense.

Integration with GitLab – titled Sisense for GitLab – is designed to enable continuous integration and continuous delivery (CI/CD) as developers build and update applications.

Continuous Integration automates the testing of code changes in an application and merges those changes into a shared repository so that any developer working on the application is using the same up-to-date version. Continuous Delivery then takes the next step, testing the applications and distributing them for deployment after all coding changes have been made.

Sisense for GitLab provides a centralized repository for Sisense users to do their work and collaborate on the creation and deployment of applications. In GitLab, applications are updated as changes are made so that different developers do not work on different versions, and a data lineage is created so that all changes are recorded.

Finally, the new multi-tenant environment – ​​which is currently only available by invitation to select Sisense users – enables customers to configure a single Sisense deployment in different ways for different users.

Often, analytics tools have to be deployed multiple times in an organization because different departments have different needs. For example, the human resources department may need its analytics tools positioned differently than the finance department. With a single-tenant platform, that would require separate deployment.

But Sisense now enables a deployment to be configured in multiple ways to suit the needs of individual users, or multiple tenants, with that single deployment managed in a centralized location.

A sample dashboard from Sisense displays revenue data for an organization.

Expedia is a Sisense customer with thousands of employees and contractors. According to Orad, Expedia’s system administrators can now use Sysense to give each of those users a unique look with different functionalities and permissions.

All the new capabilities are targeted at tech users. According to Ventana Research analyst David Meninger, what users may like most may be the integration with GitLab.

“Developers will love the integration with GitLab,” he said. “CI/CD is all the rage, and analytics has traditionally been left out of these processes. Organizations need to be able to manage their embedded analytics code alongside the rest of their code. And they are the same for build and deploy processes. Custom analytics capabilities that they use for other applications.”

From a SiSense perspective, adding a multi-tenant environment is perhaps most important, Meninger continued.

“Re-architecting for a multi-tenant cloud configuration is a significant amount of work,” he said. “From a customers perspective, this change will enable organizations to realize the full benefits of the cloud.”

Meanwhile, Roy mentioned that vendor integrations with GitLab and other similar developer environments are valuable.

“Git is very popular among developers — as are the offerings from Microsoft and AWS,” she said. “Developers are often responsible for building embedded analytics apps on behalf of end users, so integrating with the environments that developers already love to use makes it easier for developers to build these apps.”

Similarly, Roy said that providing multi-tenant environment is a positive step for sellers.

“A multi-tenancy architecture for embedded analytics – if it has multi-tenancy security – enables individuals to connect to different data models and show specific data that is only authorized for those tenants,” she said.

future plans

Beyond the new capabilities, Oraid said a significant development over the past year has been Sisens’ push to become profitable, which began in October 2021. He said the seller has now achieved that goal.

In addition, Sysense consolidated its technology and product development departments under the leadership of Ariel Katz, who spent 20 years at Microsoft and is now Sysense’s Chief Product and Technology Officer.

Looking ahead, a cloud-agnostic strategy is key to Seasons, according to Orad.

“Whether it’s my cloud, a private cloud, GCP [Google Cloud Platform]Azure, AWS or even on-premises, we’ll work there,” he said. “This is important because we can’t limit anyone to one cloud.”

Orad noted that key initiatives for Sisense include building its community of customers and expanding its partner network. Vendors including Tableau and Qlik have well-established user communities that help drive development, while others such as ThoughtSpot have extensive partnership networks that enable customers to use technologies built by various vendors.

According to Meninger, the partnership expansion will be an important step for SiSense.

He noted that analytics implementation requires connections and integrations with various other systems, and the more tightly Sisense can work with another vendor’s tools — even though Sisense may consider the vendor a competitor — the more it can. The seller will benefit the customers.

“It would be helpful to customers if Sisense had a more fully developed ecosystem of technology partners,” Meninger said.

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Sisense adds a trio of new embedded analytics capabilities

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