Cloud Analytics

20Jan

Spring ’24 Enhancements to Salesforce Analytics, Data Cloud, Einstein, and Net Zero Cloud

Discover the Spring ’24 Enhancements to Analytics Data Cloud Einstein and Net Zero Cloud Enhancements to Salesforce Analytics, Data Cloud, Einstein, and Net Zero Cloud in Spring’24. Reports and Dashboards for Data Cloud Enhancements Analytics Create custom report types, more core semantics, calculated insights, and date and time formulas. Analytics Collection Components Analytics Curate related analytics assets for better organization and easier consumption. Embed a specific collection directly into Lightning pages to easily access the insights you need right in your workflow. Enhanced Dashboard Customization Analytics Easily create and remember custom colors for widgets. Save hours in development time by applying layouts and colors to all widgets in a dashboard with just a few clicks. Revenue Intelligence Enhancements Analytics A new streamlined setup helps you get started even faster, and a library of KPI components lets you further customize Forecast Insights. To better understand conversation rates, use the new Win Rate Funnel view. Data Graphs Data Cloud Combine multiple data model objects and calculated insights into a unified view. New Profile API improves query performance to power near real-time use cases across Customer 360. Bring Your Own Lake with Snowflake Data Cloud Share data between Data Cloud and Snowflake with zero-ETL. With Data Federation, you can now share your data bidirectionally and access Snowflake datasets in Salesforce to enrich your unified customer profiles and unlock new insights. Bring Your Own Lake with Google BigQuery Data Cloud Share data between Data Cloud and Google BigQuery with zero-ETL. With seamless data access, you can enrich your unified customer profiles with BigQuery datasets, helping you unlock new insights and better power your Google Analytics and AI models. Streaming Data Ingest for Salesforce CRM Connector Data Cloud Ingest changes to Salesforce standard and custom objects in near real-time with streaming data ingest for the Salesforce CRM Connector. Now, existing batch ingestion checks for more frequent updates to your Salesforce objects. Einstein Copilot Einstein Embed Einstein Copilot—a conversational AI assistant—across all Salesforce applications to help teams be more productive. Automate steps or tasks with out-of-the-box actions, or create custom actions that call flows, Apex, or MuleSoft APIs. Prompt Builder Einstein Create, test, and refine prompt templates easily without code. Ground prompts with dynamic CRM data, including merge fields and flows. Invoke prompted workflows across the Einstein 1 Platform through Flow, Lightning Web Components, and Apex. ESG (Environmental, Social, and Governance) Disclosure Authoring with Generative AI Net Zero Cloud Use Einstein to generate more efficient Corporate Sustainability Reporting Directive (CSRD), Global Reporting Initiative (GRI), and Carbon Disclosure Project (CDP) reports. Einstein can access and use the internal information you’ve uploaded to Net Zero Cloud to write and answer specific questions required for these reporting standards. Disclosure and Compliance Hub Plugin for Microsoft Word Net Zero Cloud Net Zero Cloud now provides sustainability managers more flexibility to support multiple authoring formats using Microsoft Word Office 365. Multiuser collaboration, easy navigation, and rich text support create a cleaner and easier experience. Marginal Abatement Cost Visualizations Net Zero Cloud With marginal abatement cost visualizations, customers can gain insights into required investments for various programs and forecast future emissions based on the cost to offset carbon. Sustainability Program Visualizations Net Zero Cloud Visualize the combined effects of multiple environmental, social, and corporate governance (ESG) initiatives and gain a deeper understanding into different ESG projects and specific metrics within these projects. Improved Emissions Factors Management Net Zero Cloud Automatically integrate emissions factors from Net Zero Marketplace into Net Zero Cloud to easily manage and apply the data, for improved transparency and visibility in one location. Stay tuned to Tectonic’s Insights for more details and news from Salesforce. Enhancements to Salesforce Analytics, Data Cloud, Einstein, and Net Zero Cloud. 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

January 20, 2024in Google Analytics, Salesforce Data Cloud, Salesforce Einstein, Salesforce Marketing Automation, Salesforce Net Zero Cloud

07Oct

Modern Cloud Analytics

Unlocking the Power of Modern Cloud Analytics: A Tableau and AWS Initiative According to IDC research, analytics spending on the cloud is growing eight times faster than other deployment types. A comprehensive cloud technology stack supports data integration, self-service analytics, and essential use cases for digital transformation and analytics at scale. To help customers harness the power of cloud-based self-service analytics, Tableau continues to invest in its Modern Cloud Analytics initiative, launched at the Tableau Conference in 2019. What is Modern Cloud Analytics? Modern Cloud Analytics (MCA) combines the expertise and resources of Tableau, Amazon Web Services (AWS), and their partner networks. This collaboration maximizes the value of end-to-end data and analytics investments, from data strategy and migration to operational optimization. MCA helps organizations at any digital transformation stage securely deploy and scale cloud analytics, delivering faster time to value and reduced costs with validated migration processes that mitigate risk. Core Product Integration and Connectivity Tableau integrates seamlessly with AWS services, providing a complete solution for analyzing data stored in Amazon’s infrastructure. Key integrations include: Amazon S3 Connector: Leveraging Tableau’s Hyper in-memory data engine, this connector reads Parquet or CSV files directly from Amazon S3, eliminating the need for Hyper extracts. Available in Tableau Cloud and Tableau Exchange.Amazon Athena Connector: Now supports third-party identity providers (IdP) like Azure AD and Okta, offering secure and flexible authentication with multi-factor options.Amazon OpenSearch Connector: Developed by the Amazon OpenSearch Service team, available on Tableau Exchange.Amazon DocumentDB Connector: Created by the Amazon DocumentDB Service team, featured on Tableau Exchange.Amazon Neptune Connector: Developed by the Amazon Neptune Service team, available on Tableau Exchange. Skip Server Administration with Tableau CloudTableau Cloud, hosted on AWS, offers significant cost savings and performance improvements. “With Tableau Cloud, we’re saving over $300,000 annually in server and platform administration costs, with dashboard performance improving by 2x,” said Raj Seenu, Senior Director of Data Technologies at Splunk. This platform allows IT and data engineers to focus on other critical tasks, demonstrating a cloud-first approach. Splunk anticipates doubling its enterprise analytics adoption by the end of 2021. Getting Started with Modern Cloud AnalyticsThe MCA program assists customers in migrating data and analytics workloads to AWS, unlocking the benefits of a cloud-based analytics strategy. *Source: IDC InfoBrief, sponsored by Tableau and AWS, Cloud Business Intelligence and Analytics, doc #US46135420TM, April 2020. 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

October 7, 2023in Salesforce, Salesforce Tableau

15Jun

Scale Data and Analytics in the Cloud

Winning in the Data Economy In the rapidly growing data economy, enterprises are eager to gain a competitive edge. This data economy, which revolves around the global supply and demand for data and data-driven applications, continues to expand as more organizations seek critical insights to drive their success. Scale Data and Analytics in the Cloud. The value of data isn’t a new concept. Companies acquired other companies for the sole purpose of obtaining their data – customers, prospects, etc. The value of actionable data is a bit newer. Whereas we once marketed to prospects based primarily on historical data, data-driven applications let us market at the right time on the right channel with the right message. To understand what it takes to excel in the new data economy, Tableau partner Snowflake surveyed business and technology leaders. Their research highlighted the characteristics of the leaders and laggards, emphasizing the importance of a strong data strategy for achieving successful outcomes. Industries like financial services, health and life sciences, and retail are still struggling to fully benefit from the data economy, often finding it challenging to unlock the full value of their data. Here are four key actions that can help organizations win in today’s data economy and achieve tangible results: 1. Create a Strong Data Culture A robust data culture is foundational for realizing the value of data. Organizations that prioritize becoming data-driven see significant benefits: Jennifer Belissent, Principal Data Strategist at Snowflake, emphasizes how a cloud-enabled data culture accelerates time-to-value by breaking down organizational silos. Tableau offers a playbook to help organizations build, expand, and mature their data capabilities. 2. Adopt an AI-Driven, Enterprise-Ready Analytics Platform Data leaders utilize AI-driven enterprise analytics platforms like Tableau, which provide trusted predictions and insights to scale decision-making. Traditional solutions often fall short in delivering speed to insight and self-service capabilities. Tableau, particularly with Tableau Cloud, offers an easy-to-scale solution that manages and analyzes data across various sources, supporting meaningful impact and agility. Tableau Cloud’s Advanced Management capabilities enhance security, usability, and scalability. Additionally, Tableau Accelerators—over 100 ready-to-use, in-product dashboard starters—support various industries, enabling comprehensive analysis and problem-solving. 3. Migrate to the Cloud Cloud adoption is accelerating as organizations pursue data-driven digital transformations. The cloud offers flexibility, agility, scalability, reduced IT overhead, and increased resilience and performance. Key considerations for cloud migration include: Whether opting for on-premise, hybrid, or full cloud migration, Tableau connects to data wherever it resides, fueling insights across the business. Tableau’s own journey to the cloud involved evaluating criteria, enhancing collaboration, and applying new data management processes, resulting in a unified source of truth. 4. Choose the Right Partners to Scale Cloud-Native Analytics Selecting partners that facilitate cloud-native analytics is crucial. Ideal partners should offer: Snowflake and Tableau exemplify these qualities, addressing data and organizational demands. Snowflake provides extensive data storage and processing, while Tableau offers intuitive, self-service analytics. This partnership has helped enterprises like Cart.com achieve significant revenue growth by embedding Tableau analytics in Snowflake’s platform. Embrace the Data Economy with Cloud-Native Analytics Regardless of where your organization stands in the data economy, taking steps to leverage cloud-native analytics can unlock numerous opportunities. Tableau continues to invest in its platform to help organizations thrive with data in the cloud, offering expert advice, solutions, and valuable partnerships. By adopting these strategies, your organization can become a leader in the data economy and achieve remarkable results. 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

June 15, 2023in Salesforce Data Cloud, Snowflake

30May

Cloud Analytics Explained

Understanding Cloud Analytics Cloud analytics refers to leveraging cloud computing resources to conduct data analysis more efficiently. It involves using advanced analytical tools to extract insights from vast datasets, presenting information in a user-friendly format accessible via web browsers. Core Concepts of Cloud Analytics Explained Cloud analytics shifts traditional data analytics operations, such as processing and storage, to public or private cloud environments. Similar to on-premises analytics, cloud solutions facilitate pattern identification, predictive modeling, and business intelligence (BI) insights. They leverage cloud technologies and algorithms, notably artificial intelligence (AI), including machine learning (ML) and deep learning (DL). Operational Framework of Cloud-Based Analytics Cloud analytics platforms offer capabilities to build, deploy, scale, and manage data analytics solutions in a cloud-based infrastructure. Examples include cloud enterprise data warehouses, data lakes, and on-demand BI and marketing analytics. Users can subscribe to services under flexible pricing models, alleviating concerns about scalability, performance, and maintenance. Types of Cloud Analytics Cloud-based analytics solutions vary by deployment model: Key Features and Benefits Cloud analytics offers several advantages: Applications and Use Cases Cloud analytics supports diverse applications, including: Comparing Cloud Analytics with Traditional Data Analytics Cloud analytics leverages cloud infrastructure for scalable and flexible data processing, contrasting with traditional analytics tools deployed on-premises. This shift enhances agility and accessibility while reducing operational complexities and costs. Why Cloud Analytics Matters Cloud analytics empowers organizations to harness actionable insights efficiently, driving informed decision-making and competitive advantage. It streamlines operations, fosters collaboration, and enhances data reliability and strategic planning capabilities. Adopting cloud-based analytics enables businesses to transform data into valuable intelligence, fueling innovation and growth. By leveraging cloud-based resources, organizations can achieve operational excellence, secure data-driven insights, and maintain a competitive edge in today’s dynamic business landscape. 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

May 30, 2023in Salesforce

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