Sisense Provides Sisense Notebooks to Foster Rapid Decision-Making at Enterprise Scale

Providing an AI-driven platform for ubiquitous analytics, Sisense introduces Sisense Notebooks, a new code-first functionality within Sisense Fusion Analytics that empowers data analysts with the tools they need to perform advanced analysis using SQL and Python.

As part of the Sisense Fusion Platform 2012.12 release, Notebooks will enable data analysts to query data from any data source, visualize results in custom charts, and continue their analytical efforts using procedural code prior to visualization.

The laptops will help boost data analyst productivity with integrated workflows, source control, advanced security, and more, allowing them to perform ad hoc analysis on disparate data sets – in a highly customizable way in SQL or Python – within a system One key to both is depth analysis and business intelligence that keeps data safe and secure, according to the vendor.

“The market is full of tools that deliver fragmented workflows and manual procedures, which hurts productivity, accuracy, and security and slows down the time left for anyone looking to make a data-driven decision in the enterprise,” said Ashley Kramer. , Chief Marketing and Product Officer, Sisense. “With Notebooks, we take a code-first approach to help instill ideas and extend decision-making across the enterprise, and create a strong partnership between business users and analysts.”

Additional key features of Sisense Notebooks designed to accelerate analysts’ abilities to solve critical business decision problems include:

  • Integrated workflow. Go from model design to advanced analysis to visualization to source control, all in one place with the highest degree of data security.
  • Parse using SQL or Python. Capabilities include from SQL to graphs, from SQL to Python to schemas, and from SQL to R to graphs, coming soon. Along with these features comes a best-in-class SQL and Code editor which gives analysts the ability to quickly conduct their research in a continuous and efficient manner.
  • Coordinate information with custom queries. Advanced operations such as window functions and common table expressions allow analysts to extract more complex insights from data sets with high precision and accuracy, eliminating typical self-service weaknesses, such as semantic models that limit the type of questions business users can ask.
  • Laptops allow for industry-best collaboration during developers’ exploratory analysis before providing an answer or visualization of a problem, then eventually being able to share the same product offering, soon.

Sisense Fusion Analytics offers self-service capabilities as well as tools for data analysts, so any kind of intelligence can be gleaned from business data. Laptops will fill a gap compared to self-service solutions by allowing integrated custom analysis.

Sisense is also offering a beta version of integration with Git to enable developers and product teams to manage the lifecycle of their dashboards and code, designed to power and scale analytics across the enterprise. The feature will be fully integrated in 2022.

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