With increasing volumes and complexity of data, the process of transforming raw data into actionable insights requires more powerful tools. Sisense for Cloud Data Teams (previously Periscope Data) provides data teams with the ability to build cloud data pipelines and quickly perform advanced analysis using the languages they prefer, all while utilizing software development best practice workflows.
Avoid the pitfalls of fragmented open-source toolchains and single-user workbenches with the integrated suite of capabilities in Sisense for Cloud Data Teams
Write queries in SQL, analyze results using Python and R. Create reusable analysis frameworks for a more iterative experience through code views and snippets.
Visualize query results or convert them to models written back to AWS Redshift or Snowflake. Visualize massive quantities of data with server-side matplotlib and ggplot.
Deliver interactive visualizations with powerful charting libraries. Allow users to slice and dice, pivot, filter, and download data with ease.
Extract and transform data without the fragility of production ELT infrastructure with Sisense’s Cloud Data Pipelines.
Utilize Managed Cloud Data Pipelines to transition to your own AWS Redshift or Snowflake deployments with no downtime.
The built-in Summary Statistics functionality helps you quickly understand data at a glance to identify patterns, relationships, and unexpected values.
Ingest new sources directly into your warehouse and respond to requests without the overhead of semantic modeling by working with both unmodeled and modeled data.visualizations using Python libraries or R packages such as plot.ly.
Create advanced, highly customizable visualizations using Python libraries or R packages such as plot.ly.
Prototype new transformations before introducing them into nightly ELT processes. Reduce query times and computing costs by materializing views and reporting tables.
Automate and manage changes by syncing all user-generated content through Git, using GitHub, GitLab, BitBucket, or your own Git server.
Level up your data team by developing your analytics like you develop software.
Augment your data with predictive and statistical libraries or custom scripts and write results back to your warehouse to add crucial insights and generate advanced analytics.
Collaborate with your team and save time on new projects by centralizing frequently used in-house code and logic with snippets and views.
Control, track and manage changes to your queries and dashboards with a bi-drectional sync into the Git repository of your choosing.
Pared helps restaurants fill staffing gaps on demand. Learn how the data science team at Pared uses Sisense for Cloud Data Teams (previously Periscope Data) to take complex analytics projects to the next level with the Python and R integration.
Using Sisense for Cloud Data Teams’s (previously Periscope Data) natural language processing and machine learning functionalities, the data science team at Crisis Text Line identified issue trends through topic modeling and built a stack-ranking queue that prioritizes incoming messages based on severity.
GitLab is a complete DevOps platform committed to accelerating software lifecycles by as much as 200%. GitLab uses Sisense for Cloud Data Teams (previously Periscope Data) to stay agile with the ability to query in SQL, and move into Python and R to perform more complex analysis.
Crunchbase is the master database of the startup ecosystem, with more than 500,000 data points profiling companies, people, funds, fundings, and events. With over 31 million visitors to their website each year, Crunchbase collects and uses an incredible amount of data, and therefore needed a powerful analytics platform to aggregate all its data to ask the right questions