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Salesforce Developer Toolkit
16Jan

Salesforce Developer Toolkit

Have you ever been overwhelmed by a complex project with numerous tasks and deadlines? I felt the same until I discovered Salesforce tools. One afternoon, a colleague introduced me to these tools, and everything changed. Suddenly, I could manage my work more effectively, collaborate better with my team, and consistently deliver outstanding results. Salesforce tools completely transformed the way I work. They showed me that with the right technology, teams don’t just meet expectations—they exceed them, driving better business performance. Let’s explore how Salesforce tools can lead to better development outcomes and help you stay ahead of the competition. Key Takeaways Understanding Salesforce Development Tools Diving into Salesforce development tools reveals how essential they are for boosting productivity and streamlining processes. Each tool plays a unique role in making Salesforce adaptable for developers. For instance, using the Salesforce Developer Edition allows me to test apps without real data, helping me create better solutions. Scratch Orgs provide a space to develop apps for specific needs, offering flexibility in my work. The Salesforce CLI simplifies managing and integrating different tools, enhancing my overall development workflow. By learning and mastering these tools, I’ve significantly improved my technical skills, gaining confidence to tackle various projects knowing I have the right tool for each task. Key Benefits of Using Salesforce Tools Salesforce tools have revolutionized how we work and engage with clients. One of the standout benefits is the clear visibility into customer data. This makes our interactions more personalized and effective, as everyone on the team has access to the necessary customer information. Team collaboration also becomes more seamless. Sharing vital information removes delays, streamlining the development process and ensuring we all work towards the same goals. Automation is another game-changer. It reduces manual tasks, allowing us to focus on high-value activities. Companies that embrace these tools often see improved sales and overall business performance. Salesforce Tools for Better Development The right tools can transform your development process. Salesforce tools enhance every aspect, from understanding customer needs to improving team collaboration. By making both teams and customers more visible, these tools lead to better strategies and outcomes. Improved Customer Visibility Customer insight is crucial to business success. Salesforce tools provide immediate access to customer data, enabling us to tailor services to meet their needs. I can now predict trends and respond quickly, enhancing the customer experience. This visibility also allows businesses to adjust plans rapidly, leading to faster improvements. Enhanced Collaboration Across Teams Collaboration is key to success. Salesforce tools enable seamless communication and information sharing across teams, reducing errors and making development smoother. As teams work more efficiently together, productivity rises, and customer satisfaction improves. These tools have fundamentally changed how my team operates, driving us toward our goals. Getting Started with Salesforce Tools When I began exploring Salesforce tools, I realized how crucial it was to understand the setup process. It’s not just about choosing the right tool—it’s about selecting one that aligns with your business needs. I spent considerable time researching and selecting the best tools for my organization, which resulted in smoother operations. Setting up accounts in an organized manner also prevented potential issues down the line. Training was equally important. I provided my team with comprehensive resources and hands-on experience with Salesforce tools. This approach ensured everyone was prepared to use the tools effectively and enhance our productivity. Salesforce Developer Toolkit For a Salesforce developer, the Salesforce Developer Toolkit is essential to improving workflow and productivity. Using the right tools significantly enhances both efficiency and output quality. Essential Tools for Every Salesforce Developer The toolkit includes indispensable tools like the Developer Console and Salesforce Extensions for Visual Studio Code. These make coding easier and allow for better testing and debugging. The Ant Migration Tool is invaluable for transferring project components, tracking changes, and deploying updates seamlessly. Streamlining Development Processes with Salesforce By utilizing the Salesforce Developer Toolkit, I’ve accelerated development processes. Integrated environments and robust command-line interfaces make app deployment faster. These tools enhance my coding efficiency, allowing me to deliver exceptional Salesforce apps to clients with speed and precision. Top Salesforce Tools to Consider When starting with Salesforce, it’s essential to identify the tools that best meet your needs. Salesforce Lightning, Salesforce CLI, and Workbench stand out for their powerful features and benefits. Salesforce Lightning Salesforce Lightning simplifies app development with its intuitive interface. Its drag-and-drop functionality enables quick assembly of components, allowing me to focus on adding value rather than technical complexities. Salesforce CLI For developers who prefer command-line interfaces, Salesforce CLI is an excellent choice. It automates tasks, improves workflow efficiency, and reduces errors, ultimately enhancing productivity. Workbench and the Ant Migration Tool Workbench is a versatile tool for managing data and running SOQL queries, making it a favorite among developers. The Ant Migration Tool ensures smooth metadata transfers between Salesforce environments, ensuring seamless development. Optimizing Salesforce Development Processes Optimizing development in Salesforce involves improving efficiency and productivity. Automated testing, for instance, simplifies repetitive tasks, allowing developers to focus on more complex challenges. Using scratch orgs for feature branches is another winning strategy. It enables developers to work on new features without affecting the main codebase—a must in fast-paced environments. Agile methodologies also transform development processes. Iterative practices ensure that workflows stay up-to-date with evolving requirements, and continuous feedback drives consistent improvement. Integrating Third-Party Tools with Salesforce When enhancing my Salesforce setup, I often consider third-party integrations. Salesforce AppExchange offers a variety of apps that can be tailored to fit specific business needs. This flexibility is invaluable. Salesforce API integration makes it easy to connect Salesforce with other apps, allowing for better data management and automation. By leveraging these integrations, I’ve enhanced workflows and improved efficiency across the board. Best Practices for Enhancing Salesforce Development Maximizing Salesforce development success depends on following best practices, such as leveraging automation and community resources. Automating Routine Tasks with Salesforce Tools Automation is central to my daily routine. Tools like Process Builder and Workflow automate repetitive tasks, saving time

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January 16, 2024in Data, Salesforce, Technology
Salesforce Logo
15Jan

Spring ’24 Release Enhancements for Public Sector, Education, and Nonprofit

Enhancements for Public Sector, Education and Nonprofit Spring ’24. Change of Circumstance Guided Flow Public Sector Ensure that benefit eligibility remains accurate even when circumstances change. Use guided flows to simplify the process for constituents to report a “change in circumstance” and for caseworkers to re-check eligibility and adjust disbursement amounts. Caseworker Productivity Dashboard Public Sector Analyze caseload trends, boost productivity, and see results. Out-of-the-box data insights empower agencies to understand caseload trends, prioritize and distribute caseloads based on key factors, and visualize their impact. Recruitment and Admissions Enhancements Education Increase application completions by simplifying application processes. Empower parents and agents to start and view applications, support applications to multiple programs, and keep applicants on track with checklists that are reusable across programs. Mentorship Support Education Help students build deeper relationships. Connect students with mentors like alumni, faculty, or peers, and support them with a comprehensive portal experience. Fundraising Enhancements Nonprofit Attribute revenue from recurring donation upgrade campaigns and understand ROI to make data-driven spend decisions. There is also a new object for payment information and a business process API that makes it easier to build integrations. Program Management Enhancements Nonprofit Save time and improve data quality with Automated Outcome Results. Experience Cloud Integration makes it possible to share your outcome strategy externally, and Care Plan Integration links individual care plans to outcomes. Grantseeker Collaboration Public Sector and Nonprofit Enable teams to collaborate when they’re seeking grant funding. Applicants can securely share applications, for faster information gathering and application completion. And applicant owners can control who can view and edit. Private Funding Opportunities Nonprofit Avoid unsolicited applications. Target projects closely aligned with funding priorities and manage the volume of applications you receive. Stay tuned to the Tectonic Insights for more great news from Salesforce and the Spring ’24 Release. Enhancements for Public Sector, Education, and Nonprofit. 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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January 15, 2024in Salesforce Education Cloud, Salesforce for Nonprofits, Salesforce Government Cloud, Salesforce Nonprofit Cloud, Salesforce Public Sector Solutions
How to Implement AI for Business Transformation
15Jan

How to Implement AI for Business Transformation

Harnessing the Power of AI for Business Transformation The age of artificial intelligence (AI) is here. How to Implement AI for Business Transformation? Once a niche technology confined to research labs and the realm of science fiction, AI has now become a mainstream force. Today, an estimated 35% of businesses are leveraging AI to enhance products, boost efficiency, and gain a competitive edge. However, for companies yet to begin their AI journey, the path to implementation can seem daunting. So how can organizations navigate the complexities of AI and unlock its potential to drive success? This comprehensive guide is designed to empower businesses to confidently adopt AI. We’ll break down what AI is, assess your organization’s readiness, help you develop a robust AI strategy, and explore how to implement and integrate AI across operations. Ultimately, this insight will show you how to embrace AI for continuous innovation, helping automate tasks, uncover insights, and future-proof your business. AI Era Demands an Intelligent Data Infrastructure AI consulting services and digital transformation partners like Tectonic underscore the technology’s immense value, helping organizations evaluate, implement, and scale AI initiatives. However, knowing where to start and who to trust can be challenging. This guide will provide best practices for planning and executing AI projects, helping you make informed decisions when selecting solutions and partners. By the end, your organization will be equipped with the knowledge and confidence needed to make AI a powerful competitive advantage. Understanding the AI Landscape Before diving into AI implementation, it’s important to understand what artificial intelligence is and the wide array of applications it offers. What is Artificial Intelligence? Artificial intelligence (AI) refers to software and machines designed to perform tasks that typically require human intelligence—such as visual perception, speech recognition, decision-making, and language translation. AI is already deeply integrated into many everyday products and services, including: Machine Learning Basics At the core of most AI systems is machine learning (ML), which involves training algorithms on vast datasets, enabling them to learn from examples without being explicitly programmed for every scenario. There are three main types of machine learning: Beyond ML, fields like natural language processing (NLP) focus on understanding human language, while computer vision analyzes visual content such as images and video. Real-World AI Applications Understanding the fundamentals of AI helps organizations align their needs with its capabilities. Common business use cases for AI include: Armed with this knowledge, businesses can better evaluate how AI fits into their goals and operations. Developing a Comprehensive AI Strategy Once you understand the AI landscape, the next step is developing a strategic plan to guide implementation. Establishing an AI Vision and Objectives AI adoption must align with clear financial and operational goals. Leadership teams should identify: Aligning stakeholders and executive leaders around specific use cases will drive urgency, investment, and commitment. AI Ethics and Governance AI adoption also requires guidelines for ethical usage, transparency, and accountability. Organizations should consider: Establishing these frameworks early ensures responsible and transparent AI usage. Resourcing an AI Program AI implementation requires the right talent and resources. Budget considerations should include: A Phased AI Adoption Roadmap Rather than attempting to scale AI all at once, organizations should adopt a phased approach: This roadmap balances short-term impact with long-term scalability. Choosing the Right AI Implementation Approach With your strategy in place, the next decision is how to implement AI. Three primary approaches are: The choice depends on your organization’s internal capabilities, desired level of customization, and timeline. Integrating AI into Your Operations Successful AI implementation requires careful planning and integration with existing operations. Develop an Integration Plan Consider how AI will interact with existing systems and workflows: Address Security and Privacy Ensure that AI systems comply with data privacy regulations and security protocols, especially when handling sensitive information. Drive Adoption Through Training Help staff understand how AI will augment their roles by providing training on how the algorithms work and how to interact with AI systems effectively. Monitor for Model Decay Implement processes to monitor and retrain models as needed to ensure continued performance and reliability. Embracing AI for Continuous Improvement AI should be viewed as an ongoing investment, driving continuous improvement across the organization. Encourage a Data-Driven Culture Empower teams to identify new AI use cases and experiment with AI-driven solutions. Provide the tools and frameworks to facilitate this culture of innovation. Foster Responsible AI Ensure that AI systems are transparent, accountable, and designed to augment human decision-making responsibly. Commit to Reskilling As AI capabilities evolve, continually upskill employees to ensure your workforce remains at the forefront of technological advancements. Unlocking the Future of AI The potential of AI to revolutionize businesses is clear. However, achieving success requires more than just technical capabilities. It demands thoughtful planning, strategic alignment, and a commitment to continuous improvement. By following this guide, your organization can confidently implement AI to unlock powerful data-driven insights, automate tasks, and achieve lasting competitive advantage. The future of AI is full of possibilities—are you ready to seize them? Tectonic is ready to help. How to Implement AI for Business Transformation 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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January 15, 2024in Artificial Intelligence, Data, Google, Technology

Einstein Copilot Tableau

Tableau has dedicated over two decades to empowering individuals to visualize and comprehend their data. This mission, driven by data analysts, continues to thrive. Data analysts serve as the cornerstone of organizations fostering a data-centric culture. They capture business needs, prepare data, and craft data content for end-users. Einstein Discovery insights seamlessly integrate into the Tableau workflow, ensuring uninterrupted analysis. The benefits of leveraging Einstein Discovery are manifold: Tableau Einstein represents a groundbreaking advancement in AI-driven data analytics. Einstein Copilot for Tableau, currently in beta for Tableau customers, democratizes AI in data analytics. It collaborates with analysts throughout the analytical process, from data preparation to visualization, reducing entry barriers and enhancing user experience. Einstein Copilot integrates seamlessly into the Tableau environment, serving as an intelligent assistant. It guides users through the creation process, ensuring accuracy and adherence to best practices. With Einstein Copilot, users confidently explore data, identify trends, and communicate findings effectively. The features of Einstein Copilot enhance the data analytics experience and empower users to unleash the full potential of their data. These features include faster insights through recommended questions, streamlined data exploration, improved visualization quality, and guided calculation creation. Einstein Copilot’s development involved overcoming several challenges. These challenges included accurately interpreting user questions, enhancing data intelligence, and automating visualization generation. The team addressed these challenges through continuous refinement of analytical data generation algorithms, leveraging Tableau Public’s vast dataset, and balancing accuracy, speed, and creativity in AI responses. Continuous improvement remains a key focus for the Einstein Copilot team. Through platforms like Zeus, the team systematically enhances engineering, intent detection, and knowledge generation. This iterative process ensures ongoing enhancements to Einstein Copilot’s capabilities, providing users with an increasingly seamless and insightful analytical experience. Einstein Discovery insights are integrated into your Tableau workflow, so you never need to disrupt your analysis. Some of the benefits of using Einstein Discovery include: Data analysis and data-driven decision-making have been part of the vocabulary in organizations over the years. And, while data analysis is one of the most in-demand tech skills sought by employers today, not everyone in an organization has “analyst” in their job title—myself included. Yet, so many of us use data daily to make informed decisions. The rise of generative AI presents a significant opportunity for us to bring transformative benefits to analytics. Businesses are eager to embrace generative AI because it can help save time, provide faster insights, and empower analysts to be even more productive with an AI assistant—freeing analysts to focus on delivering high-quality, data-driven insights. But before any of this can happen, a lot goes on behind the scenes. That’s where Einstein Copilot for Tableau comes in. Einstein Copilot for Tableau, now available for Tableau customers to try in beta, brings the power of AI to data analytics, reducing the barrier to entry and working alongside the analyst—from data preparation to visualization. Whether you’re an experienced data analyst or just starting your journey in data exploration, Einstein Copilot for Tableau becomes your trusted companion, empowering you to unlock insights and make informed decisions with confidence. Einstein Copilot for Tableau offers a range of features that enhance the data analytics experience and empower anyone to unlock the full potential of their data. Look for these features in the coming release, and even more as we continue to build. Faster insights with recommended questions When you are getting started in analytics—whether for work, learning, or just for fun—a blank canvas can be intimidating. Where do you even begin? Using Einstein to suggest questions you can ask of a specific datasource lightens that lift so you can quickly move from connecting to data to finding insights. Einstein Copilot for Tableau does a quick index across your connected datasource to create a summary context of the datasource. This summary is used to generate a few questions the dataset can answer. For example, using a dataset like Tableau’s Superstore practice dataset, Einstein Copilot for Tableau suggests “Are there any patterns over time for sales across product categories?” In one click a line chart is created. Since this is all happening in the authoring experience, users familiar with Tableau’s drag-and-drop interface can adjust anything displayed before saving and moving on to the next question. Combining analyzing data with learning by doing. With recommended questions, anyone can quickly uplevel their analytics skills. What is Einstein Copilot for Tableau? Using generative AI and statistical analysis, Einstein Copilot for Tableau is able to understand the context of your data to create and suggest relevant business questions to help kickstart your analysis. A smart, conversational assistant for Tableau users, Einstein Copilot for Tableau automates data curation—the organization and integration of data collected from various sources—by generating calculations and metadata descriptions. Einstein Copilot for Tableau can fill data gaps and enhance analysis by creating synthetic datasets where real data is limited. Einstein Copilot helps you anticipate outcomes with predictive analytics that simulate diverse scenarios and uncover hidden correlations. Additionally, generative models can bolster data privacy by producing non-traceable data for analysis. Accelerate insights from data with ease Tableau has thousands of features—and with Einstein Copilot’s in-product assistance, you ask questions using natural language, and from data prep and writing calculations to formatting worksheets and dashboards using your company brand guidelines, Einstein Copilot automates many time-consuming, repetitive tasks—increasing analyst productivity and speeding time-to-insights. Jumpstart data exploration Einstein Copilot for Tableau is a great tool for both data-savvy end users and data professionals. With the help of Einstein Copilot, you can ask more in-depth questions about the data insights without having to know all of the technical aspects of Tableau. In the worksheet, a set of recommended questions based on the data source’s metadata makes it easy for users to start analyzing their data. Einstein Copilot’s step-by-step guidance also helps new data professionals learn how to use Tableau effectively—with an opportunity for both novice and experienced users to increase their learn by doing. Improve viz and dashboard quality through prescriptive guidance With Einstein Copilot in Tableau, you

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January 15, 2024in Einstein 1 Platform, Salesforce, Salesforce Tableau
Tableau's Einstein Copilot
14Jan

Tableau’s Einstein Copilot

Tableau’s Einstein Copilot: Streamlining Data Analysis with AI Tableau, on its mission to empower individuals in comprehending and interpreting their data for over two decades, has found success thanks to data analysts. These professionals, integral to organizations fostering a data-centric culture, capture business requirements, prepare data, and craft data content for end users. While data analysis and data-driven decision-making have become commonplace in organizational discourse, not everyone with a stake in data utilization holds the title of “analyst.” Many individuals, those of us at Tectonic included, leverage data daily to make informed decisions. The advent of generative AI presents a compelling opportunity to bring transformative benefits to analytics. Businesses are keen to embrace generative AI due to its time-saving capabilities, faster insights, and the potential to empower analysts further through an AI assistant, allowing them to focus on delivering high-quality, data-driven insights. Facilitating this transformation is Einstein Copilot in Tableau. Tableau’s Einstein Copilot Einstein Copilot in Tableau harnesses generative AI and statistical analysis to understand the context of your data. It creates and suggests relevant business questions, kickstarting your analysis. As a smart, conversational assistant for Tableau users, Einstein Copilot automates data curation—organizing and integrating data from diverse sources—by generating calculations and metadata descriptions. Einstein Copilot fills data gaps, enhances analysis with synthetic datasets in the absence of real data, anticipates outcomes through predictive analytics, and ensures data privacy by generating non-traceable data for analysis. It upholds the promise of generative AI, offering an efficient, insightful, and ethical approach to data analytics—an intelligent assistant seamlessly integrated into the Tableau suite for users at all levels of expertise. Accelerating Insights with Ease With thousands of features, Tableau simplifies the data analysis process. Einstein Copilot, through in-product assistance, allows users to ask questions in natural language. From data preparation to writing calculations and formatting worksheets and dashboards in line with company brand guidelines, Einstein Copilot automates many time-consuming, repetitive tasks, boosting analyst productivity and speeding up time-to-insights. Jumpstarting Data Exploration Einstein Copilot is an invaluable tool for both data-savvy end users and professionals. It enables users to ask in-depth questions about data insights without requiring intricate Tableau technical knowledge. In the worksheet, recommended questions based on the data source’s metadata facilitate data analysis. Einstein Copilot’s step-by-step guidance aids new data professionals in learning Tableau effectively while offering opportunities for both novice and experienced users to enhance their skills. Enhancing Visualization Quality Einstein Copilot provides built-in visual best practice guidance, enabling users to format visualizations using simple natural language prompts and simplifying complex, time-consuming tasks. Crucially, human involvement remains a vital part of the process, ensuring thorough checks before accepting any proposed responses. Whether exploring data or creating dashboards, users can confidently navigate each step with assistance always available. Privacy, Security, and Accuracy Built with privacy, security, and accuracy in mind, Einstein Copilot assures users of a reliable AI-powered assistant. Future updates will introduce Pulse Metrics generation, Slack integration for sharing insights, and additional context to insights before sharing them. Einstein Copilot in Tableau is set to be generally available in Summer ’24 with Tableau 2024.2. For those interested in participating in the pilot, a form is available for sign-up in Spring ’24. Witness the transformative potential of Einstein Copilot in Tableau through the demo showcasing its ability to revolutionize analytics. By Tectonic’s Salesforce Marketing Consultant, Shannan Hearne Like1 Related Posts Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more Salesforce AI Einstein Next Best Action Salesforce AI Einstein Next Best Action is a feature designed to identify the most effective actions available to agents and Read more Einstein Relationship Insights Setting Up Einstein Relationship Insights: Configure ERI Insights to empower your sales team in managing relationships among individuals, companies, and Read more Joined Datasets in B2B Marketing Analytics B2B Marketing Analytics (B2BMA) datasets comprise source data that has been formatted and optimized by the B2B Marketing Analytics app Read more

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January 14, 2024in Einstein Insights, Salesforce Tableau
Salesforce Copilot
13Jan

What is Einstein Copilot for Salesforce?

What Is Einstein Copilot for Salesforce? Salesforce Copilot service operates similarly to other generative AI tools in the customer experience landscape. Users can instruct the tool to automatically respond to customer queries with pertinent, personalized answers based on company data. Is Copilot Safe to Use? Concerned about the safety of using Copilot? Rest assured, you have the ultimate control over your data. Your data remains private and is not shared with a third party unless you have expressly granted permission to do so. Moreover, Microsoft does not utilize your data to train or enhance Copilot or its AI features unless you have provided explicit consent for such purposes. Einstein Copilot represents a cutting-edge generative AI-powered conversational assistant integrated seamlessly into every Salesforce application. It enhances workflow efficiency, driving substantial gains in productivity. Einstein Copilot Studio empowers organizations to tailor their Einstein Copilot for specific business needs, offering a customizable solution. Both Einstein Copilot and Einstein Copilot Studio incorporate the Einstein Trust Layer, ensuring the protection of sensitive data while enabling companies to use their trusted data to enhance generative AI responses. Prominent businesses like AAA, Heathrow Airport, and KPMG US leverage Einstein to enhance productivity, boost revenue, and create personalized experiences. Shouldn’t you? Like1 Related Posts 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 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 Public Sector Salesforce Solutions Public Sector Solutions revolutionize public service delivery through flexible and secure e-government tools supporting both service providers and constituents. Designing Read more

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January 13, 2024in Einstein 1 Platform, Salesforce Einstein
Customer Satisfaction
09Jan

Tectonic’s Approach to Ensuring Salesforce Customer Satisfaction

by Tectonic’s Sean McSkimming Scenarios of Assorted Levels of Customer Satisfaction – Ensuring Salesforce Customer Satisfaction Are you having satisfaction issues during or after your Salesforce implementation? Are you not happy with the Salesforce solution or implementation provided to you? Or are you seeing low user adoption after the implementation has gone live? This can be caused by any of the following: At Tectonic we take approaches to avoid the causes and effects above. We understand that every Salesforce implementation and initiative is unique, because every customer is unique. Ensuring Salesforce customer satisfaction is at the heart of everything we do. Tectonic has been involved in multiple points of an implementation project to help customers maximize their Salesforce investment. Even if their initial Salesforce experience was not perfect. We take a simple yet effective approach. Transparency and Trust are at the core of everything we do for every client. Every interaction with our prospects and our customers is filtered through the lens of transparency and trust. Customers in flight, whether the project has started or not are given: Live customers who aren’t happy with their current Salesforce solution due to low user adoption or a Salesforce solution that is not meeting their needs are given: If your are intrigued by Tectonic’s commitment to customer satisfaction, or perhaps not currently enjoying this level of satisfaction, we would love to talk to you today about your Salesforce implementation. 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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January 9, 2024in Salesforce, Salesforce Financial Services Solutions, Salesforce for Nonprofits, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Managed Services, Salesforce Manufacturing Automotive Energy
Jobs AI Could Take
08Jan

Jobs AI Could Take

AI’s Impact on Creative Professions AI is poised to replace designers, writers, illustrators, filmmakers, and many other professional roles within the creative services industry. This transition may occur rapidly or gradually, but the inevitability remains. Disregard the notion that AI cannot perform deep-feeling work due to its lack of emotions. Similarly, dismiss the idea that the value of human-crafted work will surge as AI becomes more prevalent. Jobs AI Could Take and jobs it can’t. There are a few artisans, like hand-dipped candle makers, who still charge good prices for a handmade product. And there are many companies that mass produce candles far cheaper. However, the artisians are a small fraction compared to the thousands of craftsmen who existed before the advent of factories. Once AI has full access to publisher archives and the gamut of human emotions documented therein, it will be capable of replicating feelings just as easily. Historically, artisans displaced by machines have faced similar fears. Earning a living as a creative has always been challenging, and this transition will not be any different. Let’s face it. Each of the four Industrial Revolutions have caused fears, displaced workers, and created new jobs. Interestingly, the first three were each about a century apart. And the fourth only 4 short decades. Adapting to AI in Creative Roles Creatives will still possess their passions and skills, but the key question is how to make a living. Embracing AI and integrating it into your workflow is crucial. AI will transform the creative process. Your painting or drawing or creating may not continue to be your full time income, but it will become more valuable as less and less people are doing it. For instance, clients are using AI to expedite writing and strategy development, create packaging designs, and generate variations. In filmmaking, AI assists with storyboarding and editing. Even illustrators are using AI for initial sketches, with a foreseeable shift to using it for final art. Combining roles like writing and design with AI support is becoming more common. AI could enable writers to become proficient in design and illustration, and vice versa. Filmmakers may find new ways to expand their roles, potentially making existing categories less distinct. Current AI Developments in Creative Fields AI is already driving business decisions, with corporations reducing costs by replacing human roles. Here are some current trends: Emphasizing Human Connections Despite AI’s rise, human interaction remains irreplaceable. Profits depend on people making purchases, and corporate employees need trusted individuals to help them sell products and services. Maintaining personal relationships is crucial for success in a world increasingly influenced by AI. Focusing on real, person-to-person connections is essential. Building and nurturing relationships with fellow professionals and clients can provide lasting benefits. Engage in genuine interactions, listen actively, and develop strong interpersonal skills. Sharing stories and demonstrating vulnerability and empathy can strengthen these connections. Leveraging Personal Strengths and Jobs AI Could Take Continue honing your craft and keeping your community informed about your work. Focus on clients who value your expertise and are likely to invest in your services. Opportunities may lie with corporations or wealthy individuals who require your unique skills. Exploring alternative income sources beyond the corporate world can also be beneficial. Some creatives are transitioning to selling their work to communities with shared interests. Ultimately, your unique talents and personal touch are irreplaceable. By embracing AI while maintaining strong human connections, you can navigate the changing landscape and continue to thrive in your creative career. Jobs AI Could Take and why that might not be a terrible thing. 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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January 8, 2024in Salesforce Einstein
Salesforce Einstein AI Trust Layer
08Jan

Einstein AI Trust Layer Explained

The Einstein Trust Layer is a secure AI architecture. It is natively built into the Salesforce Platform. Designed for enterprise security standards the Einstein Trust Layer continues to allow teams to benefit from generative AI. Without compromising their customer data, while at the same time letting companies use their trusted data to improve generative AI responses: Trusted AI starts with securely grounded prompts. A prompt is a canvas to provide detailed context and instructions to Large Language Models. The Einstein Trust layer allows you to responsibly ground all of your prompts in customer data and mask that data when the prompt is shared with Large Language Models*. With our Zero Retention architecture, none of your data is stored outside of Salesforce. Salesforce gives customers control over the use of their data for AI. Whether using our own Salesforce-hosted models or external models that are part of our Shared Trust Boundary, like OpenAI, no context is stored. The large language model forgets both the prompt and the output as soon as the output is processed. Like Related Posts 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 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 Public Sector Salesforce Solutions Public Sector Solutions revolutionize public service delivery through flexible and secure e-government tools supporting both service providers and constituents. Designing Read more

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January 8, 2024in Salesforce Einstein
AI's Impact on the Workforce
07Jan

AI’s Impact on the Workforce

According to McKinsey, generative AI has the potential to contribute between $2.6 trillion and $4.4 trillion in value to the global economy across various industries, spanning banking, retail, high tech, healthcare, and life sciences. Its impact is expected to reach diverse professions, including customer operations, marketing and sales, software engineering, and research and development. The influence of AI on the workforce is significant. A report by Goldman Sachs suggests that AI could replace the equivalent of 300 million full-time jobs, affecting a quarter of work tasks in the US and Europe. However, it also brings forth new job opportunities and a productivity boom. Despite concerns about job displacement, AI is anticipated to generate numerous new opportunities. Roles like prompt engineer and AI product manager are emerging, with a Salesforce-sponsored IDC white paper predicting a surge in demand for positions such as data architects, AI ethicists, and AI solutions architects over the next 12 months. The report also forecasts the creation of 11.6 million new jobs within the Salesforce ecosystem alone over the next six years. Recent advancements in generative AI, exemplified by products like ChatGPT with 100 million monthly active users in two months, have reignited discussions about automation’s impact on jobs. While the extent of disruption remains unknown, developers, users, and policymakers should consider its effects on workers. To address challenges and opportunities, Majority Leader Chuck Schumer has launched a SAFE Innovation Framework, emphasizing worker security. The Biden administration is developing a National AI Strategy to address economic and job impacts. For individuals in the workforce, there’s an opportunity to cultivate existing skills and acquire new ones through platforms like Salesforce’s Trailhead, Coursera, and LinkedIn. AI’s impact on jobs involves eliminating repetitive tasks, allowing individuals to focus on more strategic and creative aspects of their roles. In fields like sales, customer service, marketing, healthcare, finance, and graphic design, AI will transform roles and create new opportunities. Chris Poole, AI Technical Consulting Lead in Salesforce’s global AI practice, envisions AI becoming ingrained in every aspect of our lives, contributing to fascinating evolution across various fields. The scale of AI adoption’s impact on workers, especially with generative AI tools, remains uncertain. Potential effects include replacing, complementing, or freeing workers for more productive tasks, or creating new jobs. A Goldman Sachs estimate suggests that about two-thirds of current jobs are exposed to some degree of AI automation, with generative AI potentially substituting up to one-fourth of current work. McKinsey Global Institute estimates that 29.5 percent of all hours worked could be automated by 2030. Regarding job impact, professional occupations associated with clerical work in finance, law, and business management are most exposed to AI. However, AI is also concurrently creating many new jobs. Like Related Posts 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 Data Studio Data Studio Overview Salesforce Data Studio is Salesforce’s premier solution for audience discovery, data acquisition, and data provisioning, offering access 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

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January 7, 2024in Salesforce Einstein
Improve Customer Experience
07Jan

Improve Customer Experience

The Importance of Customer Experience: Turning Every Interaction into a Lasting Impact Customer experience (CX) refers to every interaction a customer has with your brand—from the first touchpoint through to post-purchase support. While the term is often used broadly, its meaning is more nuanced, encompassing the entire customer journey. From the initial ad they see to the quality of their engagement with your customer support, CX reflects the customer’s perception of your brand, compared to the promises you’ve made. Improve Customer Experience. What Is Customer Experience (CX)? At its core, CX measures how customers perceive their interactions with your organization. It goes beyond customer service and spans every touchpoint, whether it’s the ease of navigating your website, the tone of your marketing emails, or the post-purchase support experience. A strong customer experience is critical for fostering brand loyalty and meeting customer expectations at every step of their journey. Why Customer Experience Matters In today’s competitive marketplace, customer expectations are at an all-time high. According to research, 80% of customers say that the experience a company provides is just as important as its products or services. Whether you’re in B2C or B2B, an exceptional customer experience translates into loyalty, brand advocacy, and revenue growth. Some key benefits of prioritizing CX include: Key Elements of a Great Customer Experience Our research highlights several factors that customers deem essential for a great experience: However, many companies fall short of these expectations. For example, 56% of customers report needing to repeat themselves to different representatives, and 55% say it feels like they’re interacting with separate departments rather than a single, unified brand. The good news? A subpar experience can be quickly remedied with exceptional customer service—75% of customers will forgive mistakes after receiving excellent support. How to Measure Customer Experience Measuring CX is essential for understanding what works and where improvements are needed. Popular methods include: Building a Successful CX Management Strategy An effective CX management strategy aligns your entire business around the customer’s needs. It should include continuous feedback loops, data-driven decision-making, and a focus on creating a customer-centric culture. Improve Customer Experience. Key Pillars of a CX Strategy: How to Improve Customer Experience Delivering a standout customer experience requires a combination of people, processes, and technology. Here are five best practices for enhancing your CX: The Role of Experience Management Customer experience management (CXM) goes hand-in-hand with a broader experience management strategy. This includes not only customer interactions but also employee experiences, product quality, and brand perception. By implementing an experience management framework, companies can align technology, culture, and six core competencies to optimize all aspects of customer engagement. The Bottom Line: Customer Experience Drives Success With Salesforce Customer experience is no longer just a buzzword—it’s a critical factor for business success. By understanding and improving the customer journey, you can foster loyalty, reduce churn, and create a long-term competitive advantage. Start by building a strong CX framework, empowering your teams, and making data-driven decisions to lead the way in customer satisfaction. Content updated August 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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January 7, 2024in Data, Google, Marketing Automation, Salesforce Copilots, Technology

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