SocialChorus and Dynamic Signal, two high-growth SaaS companies in the digital employee experience (DEX) space, announced that they have entered into a definitive merger agreement. Sumeru Equity Partners (SEP) will make a significant new growth investment in SocialChorus and subsequently fund the combination with Dynamic Signal. In addition, senior management and existing investors of both companies will invest a meaningful stake into the transaction.
SocialChorus and Dynamic Signal are on a mission to transform how companies connect every worker with the right information at the right time. This combination will accelerate the move away from destination site delivery models to an orchestrated digital employee experience that fosters employee productivity and well-being.
SocialChorus and Dynamic Signal will unite under Gary Nakamura, CEO of SocialChorus, and an executive team comprised of Dynamic Signal and SocialChorus team members. Three representatives from the Dynamic Signal board of directors, including Eric Brown, CEO of Dynamic Signal, will join the current SocialChorus board of directors to form the board of the combined company.
https://dynamicsignal.com ▪︎ https://socialchorus.com
Snowflake unveiled new product innovations for the Data Cloud, including data programmability, global data governance, and platform optimizations.
- Snowpark. With initial support for Java and Scala, Snowflake’s developer experience, Snowpark, allows data engineers, data scientists, and developers to build using their preferred language and execute these within Snowflake.
- Java UDFs. With Java user-defined-functions (UDFs), customers can bring their custom code and business logic to Snowflake.
- Unstructured data. Snowflake’s unstructured data support enables customers to store, govern, process, and share file data alongside their structured and semi-structured data.
- SQL API. The Snowflake SQL API enables applications to call Snowflake directly through a REST API.
- Classification. Snowflake’s classification capability automatically detects personally identifiable information (PII) in a given table and leverages the tagging framework to annotate the data.
- Anonymized views. This can be used to protect privacy and identity in a dataset.
- Improved Storage Economics. Better compression, and reduced storage costs.
- Improved Support for Interactive Experiences. Updates released for high volume and low latency workload requirements improve query throughput on a single compute cluster.
- Usage Dashboard. New usage dashboard helps customers better understand usage and costs across the platform.
FileCloud 21.1, the latest version of the company’s cloud-agnostic enterprise file sync, sharing and data governance platform, places speed and security at the heart of its new update. FileCloud 21.1 is significantly faster than the previous version, with increased efficiency and the ability to handle higher loads. The system software applications have been upgraded for optimal performance on Apache, PHP, MongoDB and SOLR. The customer experience has also been enhanced, with a new, streamlined user interface along with the debut of a log-in wizard that makes setting up and changing the Drive configuration easy.
- Accessibility improvements mean that FileCloud is now compliant with VPAT Guideline 2.1, which requires that all functionality be available from the keyboard.
- Seamless integration with Microsoft Office allows users to take advantage of sensitivity labels that users can apply to files. These labels, which travel with the data in FileCloud, ensure security and compliance wherever the file travels.
- Admins are now tied to roles to make it easier to assign permissions. This gives more control when allowing access to the admin portal.
- FileCloud Drive will take advantage of Apple’s latest operating system, macOS Big Sur, running Apple silicon.