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Salesforce Sales Cloud
07Jun

Salesforce Sales Cloud GPT

What is Salesforce Sales Cloud GPT? Salesforce’s Einstein GPT is a robust AI tool that seamlessly integrates both public and private AI models with CRM data. This unique synergy allows users to articulate natural-language queries directly within the Salesforce CRM environment, resulting in continuously adapted AI-generated content tailored to evolving customer information and requirements. Salesforce Sales Cloud GPT The suite encompasses a suite of powerful Artificial Intelligence (AI) products, including the Einstein service, the workplace-messaging app Slack, and the data analysis software Tableau. Notably, it unveils a compelling array of natural language tools slated for release in 2023, such as Sales GPT for personalized emails, Service GPT for service messages and chatbots, and Marketing GPT for refined audience targeting. Furthermore, the AI Cloud is meticulously crafted to host extensive language models from various providers such as AWS, Anthropic, and Cohere. Salesforce’s commitment to AI startups is further underscored by a substantial $500 million injection into its venture capital fund. Impact on Sales Cloud with AI and EinsteinGPT: Sales Cloud undergoes a transformative impact through AI, notably EinsteinGPT. Anchored in principles of Trust, Security, and Privacy, Salesforce introduces the Einstein Trust Layer within its AI Cloud offering to assuage privacy concerns. This layer ensures adaptability and transparency while upholding stringent standards for data privacy, security, and compliance. EinsteinGPT for Sales Cloud emerges as a game-changing innovation, serving as a personalized assistant within Salesforce CRM to streamline sales processes. Leveraging Generative AI, it transcends mere data analysis by generating novel content, ideas, and approaches. Key features encompass Einstein GPT, Einstein Conversation Insights, and Einstein Relationship Insights. Industries Experience Tangible Impact: Salesforce’s substantial investments in AI are reshaping the landscape of sales and customer engagement. As EinsteinGPT becomes an integral part of the platform, the anticipation of new and innovative use cases signals a significant leap forward in AI accessibility. Tectonic is please to announce our Sales Cloud Implementation Solutions. Like Related Posts 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more Salesforce Government Cloud: Ensuring Compliance and Security Salesforce Government Cloud public sector solutions offer dedicated instances known as Government Cloud Plus and Government Cloud Plus – Defense. Read more

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June 7, 2023in Salesforce Einstein, Salesforce Financial Services Solutions, Salesforce Manufacturing Automotive Energy, Salesforce Public Sector Solutions, Salesforce Sales Cloud
06Jun

Race to AI for CX

AI emerges as a transformative force revolutionizing the customer experience (CX) landscape in the dynamic world of global e-commerce. Its ability to handle extensive data and facilitate large-scale automation empowers brands to offer tailored and seamless CX journeys, fostering customer loyalty and satisfaction. The great race to AI for CX is upon us. In the era of rapid technological advancements, organizations worldwide are in a race to integrate AI-driven capabilities across their operations. The widespread adoption of AI is fueled by its recognition not just as a technological advancement but as a strategic imperative. Businesses invest in AI to enhance operational productivity, reduce costs, elevate customer experiences, and maintain competitiveness. AI’s impact on customer experience extends to substantial improvements in Customer Relationship Management (CRM) systems. Automation of tasks like data entry, lead scoring, and follow-up reminders, coupled with intelligent insights such as predicting high-converting leads, empowers sales teams to optimize their efforts. Considering the pivotal role customers play for every business, CRM has become a launchpad for AI-led transformations throughout enterprises. Businesses swiftly integrate AI-powered experiences into sales, marketing, service, and e-commerce use cases. However, for AI investments to meet expectations, they must be built on robust data practices and trust. Data readiness, reflecting an organization’s preparedness to access and use quality data across its business, is crucial for successful AI outcomes. Ensuring trust in AI, free from data-security concerns or incorrect outcomes, is equally essential. Many companies, lacking mature data practices for advanced AI capabilities like generative AI (genAI), express significant trust concerns; nevertheless, the imperative to progress prompts continued AI investments. The deployment of AI-powered chatbots enables customer service teams to deliver convenient, 24/7 support. These chatbots, exemplified by Zendesk bots, operate round the clock, offering real-time assistance even when support agents are offline. Generative AI-powered conversational bots enhance customer self-service, reduce resolution times, and improve satisfaction by maintaining case-specific tonality and context in real time. Personalized marketing, beyond being a trend, has become a cornerstone strategy for businesses aiming to establish profound connections with their audiences. Crafting messages that resonate personally not only captures attention but also cultivates conversations and fosters lasting brand loyalty. In a digital age where user experience can make or break a brand, strategic partnerships become crucial. The race to AI for CX is on and you can’t afford to be left behind. Enhancing digital user experiences often requires collaboration with specialized partners. Regpack, a versatile payment and registration solution, exemplifies this approach by collaborating with Webeo, specialists in B2B website personalization. This partnership resulted in a 565% increase in site conversion, a 302% rise in average time spent on the site, and a significant 30% drop in bounce rates. Webeo’s personalization software enabled Regpack to identify and adapt to the diverse needs of its clientele through advanced behavioral personalization techniques. Race to AI for CX AI’s impact on marketing extends beyond being an add-on tool, serving as a fundamental game-changer for crafting bespoke customer experiences. AI seamlessly bridges the digital and physical realms, particularly in ecommerce and retail sectors, dynamically adapting products and content based on consumer behavior. AI-driven technologies interpret vast data points, allowing brands to offer hyper-personalized interactions. Real-time data analysis and pattern recognition capabilities make AI a powerful tool for creating engaging and emotionally resonant personalized experiences. In essence, AI architects a new era in marketing, where experiences are not merely personalized but dynamically respond to evolving consumer desires and expectations. Leveraging AI, brands can create narratives that consumers feel intrinsically part of, fostering profound connections. For instance, Calian IT & Cyber Solutions employs personalized marketing tactics to understand and address the unique challenges and needs of each business they serve, fostering strong, long-term relationships with clients. The key takeaway for marketers is clear – the era of generic messaging is fading. A more nuanced, data-driven, and empathetic approach is emerging. Brands that embrace this shift, continuously innovate, and create experiences that customers feel a part of will thrive. As technology advances and consumer expectations evolve, mastering the art of personalization becomes crucial to redefine the marketing landscape. Key Strategies for Exceptional Customer Experience with AI: AI and Customer Experience (CX): AI impacts the entire customer journey, from predictive and prescriptive analytics to sentiment analysis, journey mapping assistance, orchestration, dynamic pricing, virtual try-ons, and augmented reality, providing an interactive and engaging shopping experience. AI and Employee Experience (EX): Efficiencies introduced by AI in employee tasks directly benefit customers. When repetitive tasks are automated, employees gain time for critical and value-added tasks, leading to increased productivity, reduced workload, fewer errors, and improved job satisfaction. Delivering Exceptional Customer Experience with AI: As customer expectations evolve, AI offers a scalable approach for brands to exceed expectations, resulting in memorable customer experiences shaped by clear communication, seamless journeys, and engaging personalized interactions. The transformative potential of AI for CX success is evident in its ability to reshape the marketing landscape. Like1 Related Posts 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 Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more

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June 6, 2023in Salesforce Einstein
Salesforce
05Jun

Salesforce for Outlook Retirement Moved to 2024

Is Salesforce for Outlook retiring in June 2023? Salesforce for Outlook Retirement Moved. Tectonic looks forward to helping your organization prepare for Salesforce for Outlook retirement and decide which products you want to migrate to. We will help you plan and execute your move. The Tectonic Team Salesforce for Outlook Retirement Salesforce for Outlook product retirement has been rescheduled for June 2024. The action menu (also known as the New Record button in the Salesforce for Outlook side panel) stopped functioning in Summer ’21. Salesforce for Outlook has helped reps stay productive for a long time. What does Salesforce for Outlook do? Salesforce for Outlook It allows users to access and update Salesforce data directly from within Outlook, such as contacts, leads, and opportunities. Users can also schedule meetings, log calls and emails, and manage tasks without switching between platforms. Sync contacts, events, and tasks between your desktop-based version of Outlook and Salesforce. Select an email in Outlook to see related Salesforce records, like leads, contacts, tasks, and opportunities. And relate that email to the Salesforce records of your choice. Salesforce for Outlook is scheduled for full retirement in June 2024. What is replacing Salesforce for Outlook? Salesforce offers the following products to replace Salesforce for Outlook functionality: Outlook Integration (replaces the Salesforce side panel experience, where reps can see Salesforce records and use some Salesforce features directly from Outlook) Einstein Activity Capture (replaces contact and event sync) Tectonic looks forward to helping your organization prepare for Salesforce for Outlook retirement and decide which products you want to migrate to. We will help you plan and execute your move. Outlook Retirement Moved until June of 2024. 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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June 5, 2023in Salesforce
Tableau Pulse and Tableau GPT
04Jun

Announcing Tableau Pulse and Tableau GPT

It’s fair to say that many are familiar with ChatGPT, the groundbreaking Large Language Model from OpenAI that has transformed how we work and interact with AI. At TC 2023, Tableau announced a new tool called Tableau GPT. But what exactly is Tableau GPT, and how does it fit into Tableau’s suite of products? Announcing Tableau Pulse and Tableau GPT. Tableau GPT Tableau GPT is an assistant leveraging the advanced capabilities of generative AI to simplify and democratize data analysis. Built from Einstein GPT, a Salesforce product developed in collaboration with OpenAI, Tableau GPT integrates generative AI into Tableau’s user experience. This integration aims to help users work smarter, learn faster, and communicate more effectively. During the Devs on Stage segment of the keynote at TC, Matthew Miller, Senior Director of Product Management, showcased Tableau GPT’s ability to generate calculations. For example, with a prompt like “Extract email addresses from JSON,” Tableau GPT quickly produces a calculation that users can copy into the calculation window. Tableau Pulse Tableau GPT also powers a new tool called Tableau Pulse, designed to generate powerful insights swiftly. Tableau Pulse provides “data digests” on a personalized metrics homepage, offering a curated, ‘newsfeed’-like experience of key KPIs. As users interact with Pulse, it learns to deliver more personalized results based on their interests. For example, Tableau Pulse highlights metrics that require attention, derived from recent data trends identified by Tableau GPT. The tool provides the latest metric values, visual trends, and AI-generated insights for user-selected KPIs. Tableau Pulse also enables users to ask questions about their data in natural language. For instance, when asked, “What is driving change in Appliance Sales?” Tableau Pulse responded with a brief answer and visualization. Further inquiries, such as “What else should I know about air fryers?” revealed that the “inventory fill rate” for air fryers is forecasted to fall below a set threshold, providing actionable insights that users can share across their organization. Future Impact and Availability Tableau GPT and Pulse promise to revolutionize interactions with Tableau products, enabling quicker visualization creation and making data accessible to non-technical users. Salesforce announced that Tableau Pulse and Tableau GPT would enter pilot testing later this year. When they do, we’ll be ready to share new insights. Follow us on LinkedIn to stay updated on all the latest developments and features in Tableau! 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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June 4, 2023in Generative AI
Migrating from Zoho to Salesforce
03Jun

Migrating from Zoho to Salesforce

Migrating from Zoho to Salesforce is a major undertaking that can significantly enhance a business’s CRM processes as it scales. To ensure a smooth transition, careful planning, data preparation, and execution are essential for accurate and efficient data transfer. In this guide, we’ll outline a step-by-step approach to migrating from Zoho to Salesforce, covering everything from pre-migration planning to post-migration follow-up. Step 1: Pre-Migration Planning 1. Evaluate Your Business RequirementsBegin by assessing your current and future CRM needs. Identify critical functionalities in Zoho that you depend on and determine which Salesforce features will either replace or enhance them. Consider: This evaluation ensures that Salesforce is configured to align with your business processes during the migration. 2. Assign a Project TeamForming a dedicated project team is crucial for a successful migration. Include stakeholders from various departments, designate a project manager to oversee the migration, and enlist CRM specialists familiar with both Zoho and Salesforce. You might also consider hiring a certified Salesforce consultant or partner to assist with technical aspects. 3. Backup Your DataBefore starting the migration, back up your data from Zoho. Export all relevant information, including: This backup ensures you have a complete copy in case any issues arise during the migration. Step 2: Preparing Salesforce for Migration 1. Customize Salesforce to Fit Your NeedsNow is the time to tailor Salesforce to reflect your existing business processes. Review the custom fields, objects, workflows, and automations in Zoho, replicating or enhancing them in Salesforce. Salesforce’s high customization level allows you to optimize your CRM for your team’s specific needs. 2. Set Up IntegrationsIf you’ve been using third-party tools integrated with Zoho, establish the corresponding integrations in Salesforce. The Salesforce AppExchange offers a range of integrations, from email marketing platforms to accounting systems. Ensure the necessary tools are connected before migrating your data. Step 3: Data Migration 1. Map Data FieldsTo facilitate accurate data transfer between Zoho and Salesforce, map your Zoho data fields to their Salesforce counterparts. For instance, “Account Name” in Zoho should correspond to “Account” in Salesforce. Create equivalent custom fields in Salesforce if they exist in Zoho. 2. Cleanse Your DataData cleansing is vital to ensure only relevant, accurate, and up-to-date information is migrated. Remove duplicates, outdated contacts, and incorrect data from Zoho. This step streamlines the migration process and enhances the quality of your Salesforce database. 3. Choose a Migration ToolSelect an appropriate tool for migrating data between CRMs, such as: Depending on your data’s complexity, choose a tool that provides additional support, such as mapping or automation features. 4. Perform a Test MigrationConduct a test migration using a subset of your data before proceeding with the full migration. This allows you to verify that everything transfers correctly and identify any issues with data formatting, relationships between objects, or custom fields. Adjust your mapping and migration processes based on the test results. Step 4: Full Data Migration Once you’re satisfied with the test migration results, proceed with the complete data migration from Zoho to Salesforce. This process may take time, depending on your data’s size and complexity, so plan for downtime or staggered migrations to minimize disruptions to your team’s workflow. Step 5: Post-Migration Setup and Testing 1. Validate Your DataAfter the full migration, verify that all data has been transferred accurately. Check for discrepancies between Zoho and Salesforce records, ensuring that relationships (e.g., contacts linked to accounts) remain intact. 2. Recreate Automation and WorkflowsRe-establish any automations, workflows, or triggers that were functioning in Zoho within Salesforce. Utilize Salesforce’s automation tools, like Process Builder or Flow, to replicate these processes. Adjust them as necessary to leverage Salesforce’s advanced capabilities. 3. Train Your TeamSuccessful migration extends beyond data transfer; it’s crucial to ensure your team is equipped to use Salesforce effectively. Conduct training sessions focused on new features and workflows, providing documentation or cheat sheets to facilitate adjustment. 4. Monitor System PerformancePost-migration, monitor your Salesforce instance for any performance issues or data inconsistencies. Make necessary adjustments and ensure that integrations are functioning as expected. Step 6: Post-Migration Follow-Up 1. Run Parallel OperationsConsider operating both systems in parallel for a brief period to confirm Salesforce is fully functional before phasing out Zoho. This allows your team to continue using Zoho if critical issues arise in Salesforce during the transition. 2. Optimize Your Salesforce InstanceOver time, identify opportunities to further customize and optimize Salesforce to meet your evolving needs. Regularly review workflows, automations, and reporting to fully utilize Salesforce’s advanced features. Who Should You Work With A successful migration from Zoho to Salesforce involves key stakeholders from various departments to ensure the new CRM setup aligns with company processes. Typical Migration Timelines The duration of a Zoho to Salesforce migration typically depends on your data’s complexity and the required customizations. For smaller businesses with straightforward CRM setups, the process may take 4 to 6 weeks, encompassing planning, data mapping, testing, and training. However, larger organizations with extensive custom fields, workflows, and third-party integrations may require 3 to 6 months. Allow ample time for thorough testing and validation to ensure data accuracy and system functionality before going live. User training and post-migration follow-up are also critical for a smooth transition. Conclusion Migrating from Zoho to Salesforce is a growth step in enhancing your company’s CRM capabilities and positioning it for future growth. By meticulously planning your migration, cleansing your data, and configuring Salesforce to meet your business requirements, you can facilitate a smooth transition and leverage Salesforce’s powerful features from day one. With the right preparation and support, your business will be well-equipped to scale, streamline operations, and achieve long-term success using Salesforce. If you need assistance with your migration, don’t hesitate to contact Tectonic for a quote. Content updated September 2024. 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

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June 3, 2023in Data, Mulesoft, Salesforce
Salesforce for Transportation and Logistics
02Jun

Transportation, Logistics, The Cloud, and CRM

Transportation and logistics and crm. Typically, the state of transportation and logistics (T&L) mirrors the state of the economy, with FedEx earnings serving as a reliable indicator of how the rest of the players in the industry are doing. However, the past few years have been anything but normal. The pandemic led to a surge in demand, marked by container-filled ports and a nationwide hunt for truck drivers. After navigating two years of high intensity, T&L now faces challenges such as inflation, the Ukraine war, ongoing supply chain disruptions, the threat of recession, climbing interest rates, higher fuel costs, and overly cautious consumer behavior. Where are the Challenges? Compounding these issues is a staffing crisis in the industry, with a global shortage of warehouse workers, dock personnel, drivers, pilots, and rail crews that is expected to persist. In such uncertain times, successful transportation and logistics companies are taking strategic steps to future-proof themselves. One key strategy involves unifying customer data on a single platform to enhance efficiency and readiness for various scenarios. Smart transportation and logistics organizations plan for best, expected, and worst-case scenarios by monitoring critical signals such as capacity in key lanes, customer spending by lane, and customer lifetime value. Unifying customer data across sales, service, and operations enables informed decision-making, focusing investments where needed and optimizing resources. Manual Processes Despite this, much of T&L business, especially in sales, marketing, and customer service, relies on manual processes like phone calls, spreadsheets, and email. Centralized customer data is crucial for applying intelligence and analytics to process trends, segmenting customers, and analyzing their value. Companies investing in data unification report significant cost savings and efficiency benefits, including a 25% reduction in IT costs. Centralized customer data is also leveraged to enhance shipper experiences. T&L leaders use artificial intelligence (AI) to predict customer retention and potential churn, allowing proactive steps to be taken. Real-time data intelligence empowers customer service agents to make informed decisions swiftly. Access to shipper-specific on-time delivery performance provides valuable insights and strengthens client relationships. Transportation and Logistics and CRM More than half of T&L organizations are investing in cloud connectivity and data sharing, with 18% deriving the most value in sales and marketing, customer relationship management (CRM), distribution, and end-to-end visibility. These strategic investments are proving instrumental in navigating the complexities of the current economic landscape. Is it time to explore Salesforce CRM for your company? Contact Tectonic today. Like2 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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June 2, 2023in Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Service Cloud
Slack and AI
01Jun

Just When You Thought We Were GPT’d Out, Here Comes Slack and Generative AI

Since its public introduction in 2014, Slack has transformed from its original concept, a searchable log of all conversation and knowledge, into a comprehensive productivity platform that has reshaped how work and co-working is conducted. Get ready! Here comes Slack and Generative AI! In a recent release, Salesforce Slack unveiled a next-generation platform. A platform designed to facilitate seamless automation and integration for users of all technical levels, regardless of coding proficiency. This platform simplifies the utilization of data within Slack, offering enhanced automation and intelligence, allowing for the creation of no-code workflows, custom integrations, and the incorporation of generative AI. Steve Wood, Slack’s SVP of Product and Platform, highlights the significance of placing automation and generative AI tools directly into users’ hands as a pivotal step in Slack’s journey to redefine not only how people work but also how machines and humans interact in the future. Wood delves into the unique features of the new Slack platform, emphasizing its modular architecture grounded in building blocks like functions, triggers, and workflows. These components are remixable, reusable, and seamlessly integrate with the data flow within Slack. The platform enables developers to create tailored solutions, such as integrating with Salesforce, fostering more efficient collaboration, and automating workflows across various business functions. The introduction of generative AI, like Slack GPT, further enhances the platform’s capabilities.  Slack GPT can use Einstein GPT to gain actionable data from Salesforce Customer 360 and Data Cloud.  Wood underscores the potential of this combination to revolutionize work interactions by simplifying automation into reusable building blocks, accessible to both humans and machines. He emphasizes the transformative power of pairing data with AI and automation, anticipating a significant shift in how technology is leveraged in the workplace. Slack and GPT Wood also explains the recent Slack GPT news, detailing its native integration into the Slack user experience. Slack GPT brings generative AI directly into the platform, allowing users to summarize conversations, catch up on missed messages, and edit content effortlessly. The integration of Einstein GPT into Slack expands the conversational interface to Customer 360, providing real-time customer insights directly in Slack. This can be used to automatically generate case summaries based on data from Service Cloud AND Slack. As AI evolves over time, Wood shares his excitement about observing how people utilize Slack GPT in real-world scenarios. The focus remains on empowering platform users through native generative AI and leveraging data and behaviors to enhance the product continuously. Historical Content Wood emphasizes the historical context stored within Slack, highlighting the collective past as a valuable resource for future decision-making. Integrating AI technologies into this rich dataset within Slack presents a substantial opportunity for improving workflows and tools. Regarding the integration of Slack with Salesforce Customer 360, Wood stresses the importance of having relevant information easily accessible in one place. Slack serves as the hub where work occurs, and by incorporating generative AI, the platform aims to enhance transparency, alignment, and effectiveness in decision-making. Drawing in and analyzing the data from Slack as well as the other Salesforce platforms provides vital customer information. In reflection on the rapid adoption of this technology, Wood acknowledges the unique challenges presented by the unknown behavior of generative AI. Stability, accuracy, and safety are top concerns, with ethical and responsible development practices crucial for building trust. The future, as Wood sees it, hinges on maintaining a commitment to ethical development, ensuring customers feel confident in trusting the transformative capabilities of generative AI in the workplace and the Slack platform. Like1 Related Posts CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Integration of Salesforce Sales Cloud to Google Analytics 360 Announced In November 2017, Google unveiled a groundbreaking partnership with Salesforce, outlining their commitment to develop innovative integrations between Google Analytics Read more

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June 1, 2023in Salesforce Data Cloud, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Slack
Google Analytics 4 UTM Codes
31May

Google Analytics 4 UTM Codes

How to Generate UTM Codes Generating Google Analytics 4 UTM Codes can be done in several ways. A common method is using Google’s Campaign URL Builder, where you enter your original URL and add the desired UTM parameters. Alternatively, tools like Measureschool’s UTM Tool in Google Sheets or other free online tools can also be used to create UTM codes. Viewing UTM Data in Google Analytics 4 In Google Analytics 4 (GA4), UTM data is found in the standard Acquisition reports. Specifically, you can view this data in the Acquisition Overview, User Acquisition: First User Default Channel Grouping, and Traffic Acquisition reports. Additionally, the Explore section in GA4 allows for the creation of custom reports using UTM data. Best Practices for UTM Tagging When using UTM tags, consider the following best practices: Google Analytics 4 UTM Codes allows you to better track your customer journeys and measure ROI on your advertising and search engine optimization efforts. 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 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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May 31, 2023in Google Analytics
Cloud Analytics
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

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May 30, 2023in Salesforce
Flexpricer and Optional Salesforce Line Items
29May

Flexpricer and Optional Salesforce Line Items

If sales users are wasting time with the standard product selector while adding line items on Quotes and Opportunities in Salesforce, but treating them as optional, use Flexpricer’s Optional Line Items interface instead. Flexpricer and Optional Salesforce Line Items let users designate any line item for an opportunity or quote as optional. Flexpricer Benefits Flexpricer and Optional Salesforce Line Items What are Optional Line Items and Why are They Useful? In Sales Cloud, adding products to a Quote or Opportunity using the basic interface can be time-consuming and limited. Sales Cloud doesn’t offer functionality to easily mark products as additional or alternate. Flexpricer enhances Sales Cloud with Optional Line Items for Opportunities and Quotes. Sales Users can: Create Accurate Quotes in Salesforce Without specialized tools, creating quotes with optional line items is challenging and prone to pricing errors. Flexpricer’s Optional Line Items provides: Optional Line Items as Alternates Using the standard product selector in Sales Cloud, users struggle with adding line items for products that can be swapped out with others. With Flexpricer, selecting line items as alternates for upsell or replacements is easy: Standard Sales Cloud Objects Flexpricer uses standard Sales Cloud objects. Your Optional Line Items aren’t locked in custom objects requiring additional licenses. Optional Line Items are commonly used by companies to present alternate or additional line items on Quotes in Salesforce without contributing to the total amount. 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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May 29, 2023in Salesforce
Salesforce and Snowflake
26May

What Makes Snowflake So Popular?

Why opt for Snowflake over its competitors? What Makes Snowflake So Popular? One of Snowflake’s standout features is its multi-cloud capability, being accessible on major cloud platforms like Azure, AWS, and GCP. This is particularly advantageous for companies operating in multi-cloud environments, as they can seamlessly query Snowflake data from any of these platforms. Snowflake distinguishes itself as a true self-managed service, eliminating the need for users to handle hardware selection, installation, configuration, or management. Moreover, there is minimal software involvement, with ongoing maintenance, management, upgrades, and tuning efficiently managed by Snowflake. If your scaling requirements are primarily related to data warehousing, Snowflake’s data-centric scalability makes it a preferred choice. On the other hand, AWS might be more suitable for general infrastructure scalability across diverse cloud infrastructure components. Organizations opt for Snowflake’s cloud-built data warehouse to achieve significant benefits. These include reducing query times from hours to seconds, providing universal access to all business users, handling structured and semi-structured data swiftly, and doing so more cost-effectively compared to other data analytics platforms. Snowflake’s storage and compute separation enables seamless sharing of live data across business units, eliminating the need for data marts or maintaining multiple data copies. The flexibility to scale virtual warehouses based on specific needs, without concerns about underlying hardware, sets Snowflake apart. Additionally, its pricing model and central data repository contribute to enhanced flexibility, scalability, and cost-effectiveness. Furthermore, Snowflake allows users to share data with partners and customers, irrespective of region or cloud, fostering collaboration on a global scale. If you would like learn more about Snowflake cloud-build data warehouse, contact Tectonic today. 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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May 26, 2023in Salesforce Development Services, Snowflake

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