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Single Digit Members

Single Digit Members

The Single Digit Growth Club: A Surge in New Members What Do Salesforce and Asana Have in Common? Both Salesforce and Asana: They have now joined the ranks of The Single Digit Growth Club, projecting growth below 10% for the coming year. It Wasn’t Supposed to Be This Way Why not? Mainly due to historically high Net Revenue Retention (NRR). Salesforce traditionally maintained an NRR well above 110%. Asana, despite catering to many SMBs (where high NRR is harder to achieve), also had high NRR until recently. With an NRR of 110%, growth expectations were typically around 20%-30% annually. With an NRR of 120% or more, as many companies had until recently (and some, like Databricks, still have at 140%+), 40% annual growth seemed attainable even at $1B ARR. However, while NRR is still strong, often at least 100%, it is no longer overperforming in many cases. Even high fliers like Monday.com have seen dips in NRR. Despite their smaller deal sizes, Monday.com’s NRR is the lowest it has been in over four years. The Impact of NRR Declines A drop of 10%-20% in NRR is significantly hampering growth, pushing even market leaders into The Single Digit Growth Club. But not everyone is struggling. The Haves and Have Nots in SaaS In today’s SaaS landscape, there is a stark contrast between the Haves and the Have Nots. Companies operating outside of B2B, those that are truly AI-native, and others are experiencing remarkable growth. However, within tech sales, a decline in NRR is severely impacting growth. Conclusion The shift to single-digit growth is a reality many SaaS companies are grappling with. As we navigate this new landscape, it’s clear that maintaining high NRR and adapting to market changes are crucial for sustaining growth. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Unity Catalog Open Sourced by Databricks

Unity Catalog Open Sourced by Databricks

Databricks Announces Open Sourcing of Unity Catalog for Data and AI Governance Databricks, the Data and AI company, has announced the open-sourcing of Unity Catalog, the industry’s only unified solution for data and artificial intelligence (AI) governance across clouds, data formats, and data platforms. This initiative underscores Databricks’ commitment to open ecosystems, providing customers with the flexibility and control they need without vendor lock-in. The announcement marks a new era for open catalog standards for data and AI, with support from major partners such as Amazon Web Services (AWS), Google Cloud, Microsoft, NVIDIA, Salesforce, and others. Unity Catalog Open Sourced by Databricks. Key Features of Unity Catalog OSS Interoperability: Unity Catalog OSS offers a universal interface supporting any data format and compute engine. It can read tables with Delta Lake, Apache Iceberg™, and Apache Hudi™ clients via Delta Lake UniForm, and supports the Iceberg REST Catalog and Hive Metastore (HMS) interface standards. It is interoperable with all major cloud platforms, compute engines, and data and AI platforms. Unified Governance: Unity Catalog OSS enables unified governance across tabular data, non-tabular data, and AI assets such as ML models and generative AI tools, simplifying management, discovery, and development at scale. Openness: With open APIs and an Apache 2.0 licensed open source server, Unity Catalog OSS maximizes flexibility and customer choice by enabling broad interoperability across various engines, tools, and platforms. Industry and Partner Support Unity Catalog OSS is the industry’s only universal catalog for data and AI. Since its introduction in 2021, Unity Catalog has helped over 10,000 organizations break down silos created by multiple single-purpose solutions. Customer Testimonials: Supporting Cloud Partners: Supporting Data and AI Partners: The Future of Data and AI Governance With the open-sourcing of Unity Catalog, Databricks continues to lead in data and AI governance, fostering an ecosystem of interoperable tools, universal support for data and AI assets, and built-in security. Unity Catalog OSS will be available at the Data + AI Summit, furthering Databricks’ mission to empower organizations with the tools needed for modern data and AI applications. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Databricks LakeFlow

Databricks LakeFlow

Databricks Introduces LakeFlow: Simplifying Data Engineering Databricks, the Data and AI company, yesterday announced the launch of Databricks LakeFlow, a new solution designed to unify and simplify all aspects of data engineering, from data ingestion to transformation and orchestration. LakeFlow enables data teams to efficiently ingest data at scale from databases like MySQL, Postgres, and Oracle, as well as enterprise applications such as Salesforce, Dynamics, SharePoint, Workday, NetSuite, and Google Analytics. Additionally, Databricks is introducing Real Time Mode for Apache Spark, allowing ultra-low latency stream processing. Simplified Data Engineering with LakeFlow LakeFlow automates the deployment, operation, and monitoring of data pipelines at scale, with built-in support for CI/CD and advanced workflows that include triggering, branching, and conditional execution. It integrates data quality checks and health monitoring with alerting systems such as PagerDuty, simplifying the process of building and operating production-grade data pipelines. This efficiency enables data teams to meet the growing demand for reliable data and AI. Tackling Data Pipeline Challenges Data engineering is crucial for democratizing data and AI within businesses but remains complex and challenging. Data teams often struggle with ingesting data from siloed, proprietary systems, and managing intricate logic for data preparation. Failures and latency spikes can disrupt operations and disappoint customers. The deployment of pipelines and monitoring of data quality typically involve disparate tools, complicating the process further. Fragmented solutions lead to low data quality, reliability issues, high costs, and increasing backlogs. LakeFlow addresses these challenges by providing a unified experience on the Databricks Data Intelligence Platform, with deep integrations with Unity Catalog for end-to-end governance and serverless compute for efficient and scalable execution. Key Features of LakeFlow Availability LakeFlow represents the future of unified and intelligent data engineering. The preview phase will begin soon, starting with LakeFlow Connect. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Growing Family of Einstein Copilots

Growing Family of Einstein Copilots

Salesforce made several announcements this month, regarding the Growing Family of Einstein Copilots. By unveiling AI-powered Einstein Copilots for marketing and merchants. These new Copilots build on the previously announced Copilots for retailers and shoppers and are integrated into the Einstein 1 platform. They can communicate with each other, effectively bridging marketing and commerce, and have full access to Salesforce Data Cloud. “Welcome to the AI enterprise,” said Ariel Kelman, Salesforce President and CMO, during his keynote at Salesforce Connections in Chicago. Kelman outlined four waves of AI: Predictive (e.g., lead scoring), Generative, Autonomous, and AI General Intelligence. “We are starting to enter the third wave,” he stated, where AI will begin to take actions independently. Copilots are a step in that direction, although for now, a human remains in control. The Path to the AI Enterprise Kelman described five steps towards creating an AI enterprise: Regarding the last point, new Slack AI tools were demonstrated for summarizing interactions and importing actionable data from Data Cloud into Slack. The strategy for Einstein Copilots aims to empower business users in marketing, commerce, and other functions to execute complex tasks, such as creating personalized customer journeys, using natural language prompts. Einstein Copilots for Marketing and Merchants The marketing Copilot can generate marketing briefs and content, and create email campaigns. Through Data Cloud, it can ingest and execute a brand’s datasets, including customer data from repositories like AWS, Snowflake, and Databricks. By automating routine tasks and time-consuming projects like data connection and analysis, the Copilot aims to free up marketers to engage more thoughtfully with their audiences. The commerce Copilot, part of Salesforce’s commerce offerings, responds to natural language prompts to create online storefronts, improve product discoverability, write product descriptions, and make product recommendations. Other Announcements Availability Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce CRM for AI driven transformation

Salesforce Artificial Intelligence

Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust AI technologies directly into users’ workspaces. The Einstein Platform offers administrators and developers a comprehensive suite of platform services, empowering them to create smarter applications and tailor AI solutions for their enterprises. What is the designated name for Salesforce’s AI? Salesforce Einstein represents an integrated array of CRM AI technologies designed to facilitate personalized and predictive experiences, enhancing the professionalism and attractiveness of businesses. Since its introduction in 2016, it has consistently been a leading force in AI technology within the CRM realm. Is Salesforce Einstein a current feature? “Einstein is now every customer’s data scientist, simplifying the utilization of best-in-class AI capabilities within the context of their business.” Is Salesforce Einstein genuinely AI? Salesforce Einstein for Service functions as a generative AI tool, contributing to the enhancement of customer service and field service operations. Its capabilities extend to improving customer satisfaction, cost reduction, increased productivity, and informed decision-making. Salesforce Artificial Intelligence AI is just the starting point; real-time access to customer data, robust analytics, and business-wide automation are essential for AI effectiveness. Einstein serves as a comprehensive solution for businesses to initiate AI implementation with a trusted architecture that prioritizes data security. Einstein is constructed on an open platform, allowing the safe utilization of any large language model (LLM), whether developed by Salesforce Research or external sources. It offers flexibility in working with various models within a leading ecosystem of LLM platforms. Salesforce’s commitment to AI is evident through substantial investments in researching diverse AI areas, including Conversational AI, Natural Language Processing (NLP), Multimodal Data Intelligence and Generation, Time Series Intelligence, Software Intelligence, Fundamentals of Machine Learning, Science, Economics, and Environment. These endeavors aim to advance technology, improve productivity, and contribute to fields such as science, economics, and environmental sustainability. Content updated April 2023. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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