AGI Archives - gettectonic.com - Page 36
data cloud and marketing cloud personalization
11Jul

What is the Difference in a Data Lake and a Data Warehouse

Is a Data Lake Necessary? Difference in a Data Lake and a Data Warehouse? Do I need both? Both Data Lakes and Data Warehouses play crucial roles in the data processing and reporting infrastructure. They are complementary approaches rather than substitutes. Relevance of Data Lakes: Data lakes are losing popularity compared to their previous standing. Advanced storage solutions like data warehouses are progressively taking their place. Can Data Lakes Replace Data Warehouses? Data lakes do not directly replace data warehouses; they serve as supplementary technologies catering to different use cases with some overlap. Organizations typically have both a data lake and a data warehouse. Distinguishing Between Data Lakes and Data Warehouses: Data lakes and data warehouses serve as storage systems for big data, utilized by data scientists, data engineers, and business analysts. Despite some similarities, their differences are more significant than their commonalities, and understanding these distinctions is vital for aspiring data professionals. Data Lake vs. Data Warehouse: Key Differences: Data lakes aggregate structured and unstructured data from multiple sources, resembling real lakes with diverse inflows. Data warehouses, on the other hand, are repositories for pre-structured data intended for specific queries and analyses. Exploring Data Lakes: A data lake is a storage repository designed to capture and store large amounts of raw data, whether structured, semi-structured, or unstructured. This data, once in the lake, can be utilized for machine learning or AI algorithms and later transferred to a data warehouse. Data Lake Examples: Data lakes find applications in various sectors, such as marketing, education, and transportation, addressing business problems by collecting and analyzing data from diverse sources. Understanding Data Warehouses: A data warehouse is a centralized repository and information system designed for business intelligence. It processes and organizes data into categories called data marts, allowing for structured data storage from multiple sources. Data Warehouse Examples: Data warehouses support structured systems and technology for diverse industries, including finance, banking, and food and beverage, facilitating secure and accurate report generation. Data Warehouses compared to Data Lakes: Data warehouses contain processed and sanitized structured data, focusing on business intelligence, while data lakes store vast pools of unstructured, raw data, providing flexibility for future analysis. Key Differences Between Warehouses and Lakes: Intended purpose, audience, data structure, access and update cost, access model, and storage and computing are crucial factors distinguishing data warehouses and data lakes. Choosing Between Data Warehouse and Data Lake: The decision depends on organizational needs, value extracted from data analysis, and infrastructure costs. Organizations may opt for agility with a data lake, a data warehouse for larger data quantities, or a combination for maximum flexibility. A data lake stores raw, unstructured data indefinitely, providing cost-effective storage, while a data warehouse contains cleaned, processed, and structured data, optimized for strategic analysis based on predefined business needs. Data Warehouse, Data Lake, and Data Hub Differences: Data warehouses and data lakes primarily support analytic workloads, whereas data hubs focus on data integration, sharing, and governance, serving different purposes in the data landscape. Salesforce Data Cloud is a powerful data warehouse solution that allows companies to effectively manage and analyze their data. It provides users with the ability to stream input data from Salesforce and other sources, making it a comprehensive platform for data integration. Content updated February 2024. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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July 11, 2023in Data, Salesforce, Salesforce Data Cloud, Technology
Salesforce Automation Guide
02Jul

Salesforce Automation Guide

Salesforce Automation Guide. I cannot lie. There was a time when I thought the greatest thing about Salesforce was that it prevented leads from falling through the cracks. I was a marketing opps person. There was a time I thought readily available information at your fingertips and integration with an email platform was the greatest thing. I was in sales management. Today, as a Solutions Architect, I think Salesforce Automation Guide is the best. Automation provides the tools necessary to automate repetitive processes and daily tasks for your business, such as creating follow-up tasks, sending reminder emails, or updating records. Automations help users save critical time and reduce errors by creating automated processes to complete repetitive tasks. Below, you’ll find resources to help you decide which automations to use depending on your needs. An Intro to Salesforce Automation Before determining which automation best suits your business’s needs, you must first understand what automation means. These resources will help paint a clear picture of what the automation of processes, approvals, and tasks can look like for your organization. They aren’t just time savers. They can be game changers. Why Should You Love Automation?Check out this article highlighting the positive global impact of automation across different industries and countries. Review the customer story on how automation helped digitize an approval process during a time of especially high-volume requests. After reading this, you will understand why automation is so beneficial! Intro to AutomationExplore this documentation to get a high-level overview of the different automation methods. Automation Tools Salesforce provides multiple automation tools depending on the level of complexity needed to achieve your goals. These resources will help you understand which automation tool will best help you reach your business objectives. Automation Tool: FeaturesScroll down within this article to check out the matrix for a breakdown of all the features and actions supported within each automation tool: Approvals, Flow Builder, Einstein Next Best Action, and Apex. Automation Tool: Which One to UseView this video from one of the leading cloud experts that walks you through each automation tool and when and why to use each one. Architect Decision GuideThe Architect Decision Guide will help you evaluate the pros and cons of the different automation tools. Get recommendations from Salesforce product teams on which tools best address different use cases. Automation Implementation A hands-on approach is the best way to learn how to implement automation tools. Dig right in by exploring guided Trailhead modules that will help you understand the steps to enable these tools. Flow BasicsGet to know Flow Builder, the primary tool for creating flows. Learn when to use flows to automate business processes. Automate ApprovalsLearn how you can automate simple approval processes using Flow Builder. Automation Deep Dive As you begin to think about your automation journey, it is useful to study use cases to help guide your automation strategy and energy. Check out these resources to learn how to take your automations even further than you imagined to streamline your business processes. Building a Simple FlowExplore this video to learn how to build a simple visual flow using Flow Builder for a donation request example via an input screen, fields, and choices to collect required customer information. Five Pro Tips for Salesforce FlowFollow these quick tips to get up and running with Salesforce Flow. Troubleshooting Resources Before rolling out your automations to users, make sure you validate and test them just like any other customization. Should you encounter a bug while validating, don’t worry! These resources will guide you through troubleshooting tips if you run into any blockers during the validation process. Troubleshooting Flow Errors Using the Debug ButtonCheck out this helpful Salesforce video on how to fix errors using the Debug button in Flow Builder. Flow TroubleshootingFurther your education with this Trailhead module to learn how to diagnose and fix common flow issues. Go Further with Automation Manage ProductivityDetermine how much time you’re saving your team with the Process Automation Tracker in Salesforce AppExchange. Flow OrchestrationStreamline complex workflows with Flow Orchestration. Our experts will guide you on rolling out multi-step processes that interact with multiple users. Join the Customer Success CommunityConnect with Salesforce experts and other Trailblazers like you. The community is a great place to ask questions, get answers, and share your experiences. Become a TrailblazerConsider blazing your own trail by completing the Trailhead superbadge on process automation. Automation Use Case StridePride makes comfortable sneakers, designed and customized for its customers. The company’s online retail business has grown rapidly in the past year domestically; as a result, they have decided to use Salesforce to help launch their sneakers in international markets. Linda Rosenson, StridePride’s admin, needed to quickly set up Salesforce to create sales processes for all of the additional international markets. As Linda was creating these processes, the Sales Leaders asked her to include a discount on the sneakers if certain criteria were met to help promote sales for the new markets. The tricky part was, each market had its unique set of criteria and rules before the discount could be applied. After mapping out each region’s unique criteria for the discounts, Linda determined that tracking this all manually or on a document for sales reps would be a logistical nightmare. Linda began thinking of automation. She was determined to find a more efficient way to automatically apply the discounts if criteria were met, lessening the chance for human error or missteps. Her goal was to make the process as seamless and efficient as possible. Because Linda had already reviewed the resources on choosing the right automation tool, she knew that Salesforce Flow made the most sense for her use case. This flow would help automate the discount by evaluating criteria based on customer inputs and then automatically applying the discount if applicable. She could even create or update records, create quotes, and send emails through flow elements. She teamed up with StridePride’s business analyst to create a Salesforce Flow. Together, they had it up and running

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July 2, 2023in Salesforce
Salesforce Field Service
01Jul

Understanding Salesforce Field Service

Salesforce Field Service is an expansive addition to Salesforce Service Cloud, offering a 360 degree perspective on workforce management, especially in scenarios where services extend beyond the office or work site into the field. This typically involves mobile employees such as service technicians, alongside service agents, dispatchers, and service managers. Let’s dive into the nuances of Salesforce Field Service, addressing key aspects like its definition, user roles, reporting, scheduling, optimization, and more. Salesforce Field Service is also a popular tool in public sector solutioning. Understanding Salesforce Field Service will help to decide if it is right for your service teams. Understanding Salesforce Field Service: Salesforce Field Service, formerly known as Field Service Lightning (FSL), is an extension of Service Cloud designed to provide a comprehensive workforce management view. It seamlessly manages services delivered in the field, such as a electrical installer arriving to fulfill a customer’s order. Field Service Lightning evolves with each Salesforce release, continually enhancing functionality. Salesforce Field Service enhances customer engagement with real-time personalization, optimization of field teams with a scheduling engine, and access to offline data. Components of Salesforce Field Service: Field Service comprises various components, including Service Appointments, Salesforce Service Cloud integration, Territory and Scheduling functionalities, the Field Service Dispatcher Console, and the Field Service Mobile App for Android and iOS with offline capabilities. A detailed data model diagram illustrates the relationship between Service Cloud and Field Service. Users of Salesforce Field Service: Salesforce Field Service is particularly valuable for organizations with mobile field technicians supporting customers. It excels in scenarios with intricate service delivery involving multiple individuals like dispatchers, field technicians, service agents, and service managers. Each user persona interacts with Salesforce Field Service in distinct ways, utilizing tools like the Dispatcher Console or Field Service Mobile App tailored to their roles. Use Cases for Salesforce Field Service: Field Service proves beneficial in diverse service scenarios, including repairs, maintenance, sales visits, and healthcare care visits. It facilitates efficient coordination among dispatchers, field technicians, service agents, and service managers, streamlining processes and enhancing customer satisfaction. Key Terms in Salesforce Field Service: Understanding key terms such as Work Orders, Service Appointments, Contracts, Entitlements, Work Types, Service Territories, Operating Hours, Resources, and Scheduling Policies is essential. These terms collectively form the foundation of Salesforce Field Service’s robust data model and optimized usability. Scheduling and Optimization: Scheduling in Salesforce Field Service is managed through the Dispatcher Console, empowering dispatchers to make informed decisions. Various methods, from manual to fully automated, enable the creation of service appointments, optimizing resource allocation and ensuring efficient service delivery. Forecasting and Planning: Use real-time data to quickly assess the impact of global or in-day optimization on travel time and resource utilization. Refine scheduling policies, get an instant view of optimization results, and KPI changes. Asset Service Management: Move from reactive to proactive service with real-time asset tracking. Monitor service outcomes and create preventive maintenance plans based on asset use, condition, age, and specific criteria. Service Territory Design: Service Territories, categorized as Primary, Secondary, and Relocation Territories, define where teams can perform work. Well-defined territories are crucial for efficient dispatcher satisfaction, requiring thoughtful initial design and ongoing maintenance. Field Service Mobile App: The Salesforce Field Service Mobile app is essential for on-the-move workforces, offering technicians essential information to optimize job execution. Offline capabilities ensure uninterrupted work, and the Visual Remote Assistant feature enables two-way video and audio communication between agents, technicians, and customers. Slack for Field Service: Empower your mobile workforce with seamless connectivity and timely assistance whenever it is needed. Mobilize for service appoints and tap into the expertise of colleagues throughout the organization with the user-friendly Slack interface. Reporting in Salesforce Field Service: Monitoring service efficiency and success involves leveraging Salesforce reports, list views, and other platform analytics. Work Order List Views and Field Service Report Types provide insights into service call-outs and overall performance. Enabling Field Service Lightning: Setting up Salesforce Field Service involves installing it as a Managed Package, assigning licenses to users, and configuring standard objects like Products, Assets, Service Contracts, and Entitlements. Creating records for Service Territories, Service Resources, and Operating Hours establishes the framework for the service model. Field Service Deployments: Deployments in Salesforce Field Service can be time-consuming due to its reliance on object data. Considerations for complex relational data movement between environments and potential risks, such as resistance to automation, require careful attention. Tectonic, as a Salesforce Consulting Partner, can assist your company in deploying Salesforce Field Service. Salesforce Field Service projects, while intricate, can be highly valuable when executed correctly providing a large ROI. Adequate planning, phased implementations, and a long-term perspective contribute to the success of organizations leveraging the capabilities of Salesforce Field Service. If you are looking for a more robust solution, consider Field Service Plus combining dispatch and technician functionality along with Service Cloud and Sales Cloud. Tectonic looks forward to helping your field service team utilize this Salesforce tool. Tectonic is please to announce Salesforce Service Cloud Implementation Solutions. 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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July 1, 2023in Data, Salesforce, Salesforce Manufacturing Automotive Energy, Salesforce Public Sector Solutions, Salesforce Service Cloud
Scale Data and Analytics in the Cloud
15Jun

Scale Data and Analytics in the Cloud

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

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June 15, 2023in Salesforce Data Cloud, Snowflake
public sector and tribal government
12Jun

Subscription Models

In today’s business world, numerous companies are either adopting or considering the implementation of paid subscription models. A subscription model involves providing products or services to customers on a recurring basis, usually monthly or annually, in exchange for a regular and likely reduced fee. This approach helps companies establish predictable revenue streams, foster customer loyalty, and offer flexibility to customers. Successfully refreshing the pricing strategy for your subscription business requires two essential components: a clear picture of what success looks like and a customer-first approach. Recurring revenue serves as a cornerstone for growth and predictability in business operations. By incorporating Subscription Models, companies can initiate each quarter with a baseline revenue, providing a foundation for continued growth. Customers benefit from flexible payment options, such as pay-as-you-go, facilitating easier commitment to purchases. Subscription Models While building recurring revenue through subscriptions is advantageous, success is not guaranteed solely by its implementation. Traditional billing methods may hinder the full potential of subscription selling, necessitating collaboration between sales and finance teams to introduce new processes and technology to capture maximum value. The first step to refreshing your pricing strategy is to identify what’s not currently working. Signals of dysfunction, such as excessive discounts, constant promotions, and static price rates, indicate areas for improvement. A thorough review of these red flags helps identify the goal of your pricing refresh. Have a clear picture of the metric you are trying to move, whether it’s increasing customers in a particular segment or improving the upsell path. Paralysis of Analysis After the initial analysis stage, many companies find themselves in a state of paralysis. We call that paralysis of analysis. It’s crucial to be cautious with existing customers while applying new pricing to new customers. Set a timeline for when your new subscription pricing will be available to new customers and work backward from there. Pilot your new pricing with both new and existing customers, supporting both old and new pricing in your catalog for testing, iteration, and repetition. For new customers, test the right price point and packaging strategy, then roll it out to all new customers after the launch date. For existing customers, identify those who will benefit from the new pricing strategy and start with them. It’s imperative to pilot your new pricing with both new and existing customers, ensuring a smooth transition. Salesforce’s Next Best Action tool will help you automate this process. The adoption of recurring revenue models extends beyond technology companies. Michelin, for instance, successfully transitioned to a recurring revenue model by charging customers based on mileage instead of selling tires outright. This strategic shift increased profits and maintained Michelin’s competitive edge in the tire industry. This example underscores that any company, regardless of industry, can develop a subscription-based model for their existing lines of business. Recurring Revenue In a subscription model, customers are charged on a recurring basis for a product or service. They choose how long and how often they want to receive each offer, with the option to renew or cancel at any time. This approach creates a contract between the business and the customer, providing a steady and predictable revenue stream. It also has been proven to enhance customer loyalty and satisfaction. A subscription business model is one in which customers are charged a recurring fee for access to a product, replacing a one-time expense. This recurring fee is typically paid monthly or yearly, offering customers the flexibility to choose the frequency of their purchases. In some cases customers can even choose the delay period between shipments. 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 12, 2023in Salesforce
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. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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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 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 6, 2023in Salesforce Einstein
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 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 1, 2023in Salesforce Data Cloud, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Salesforce Slack
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
Salesforce Revenue Cloud Integration
25May

Salesforce Revenue Cloud Integration

Integrating Revenue Management with Salesforce Revenue Cloud If your organization utilizes both Revenue Management and Salesforce Revenue Cloud Integration, you can seamlessly integrate them using the Revenue Cloud Connector feature available in Feature Console. Enabling this feature configures your org with a standardized integration, allowing Revenue Management to effectively recognize revenue and costs against Salesforce orders. Key Integration Capabilities By enabling the Revenue Cloud Connector feature, you benefit from: Hierarchical Structure of Recognition Settings The integration creates recognition settings records for Salesforce objects organized in the following hierarchical structure: Level 2 Objects: Level 3 Objects: Level 4 Objects: Recognition Transactions The resulting recognition transactions encompass transaction lines generated from: Additional Considerations Revenue Contracts for Revenue Cloud For organizations creating revenue contracts for Salesforce orders, enabling the “Revenue Contracts for Revenue Cloud” feature is recommended. This feature streamlines the creation of revenue contracts via engagements linked to orders: For comprehensive details regarding fields, recognition settings, and templates established upon feature activation, refer to “Metadata Changes when Enabling Revenue Cloud Connector.” Instructions for enabling the feature are available under “Enabling Revenue Cloud Connector.” By leveraging these integrative features, organizations enhance their ability to manage revenue recognition efficiently and maintain compliance with regulatory standards. 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 25, 2023in Salesforce Revenue Cloud
Salesforce Einstein
23May

Customize Forecast Insights

Tailor your forecasts page to align with your specific business requirements by leveraging Lightning App Builder. Craft bespoke forecasts pages that integrate all necessary information crucial for your sales leaders to generate precise forecasts tailored to your unique business demands. Construct pages comprising both standard and custom components meticulously tailored to complement your distinct sales processes. Customize Forecast Insights in Salesforce. For precise forecasting based on the Opportunity, Opportunity Product, or Line Item Schedule objects, utilize a custom number field as a measure. The forecasts grid provides insights into forecasts for individual months or quarters and offers flexibility in defining the range of months or quarters, catering to your preferences. While a default one-month forecast period is established, it can be adjusted as needed to suit your requirements. Forecast categories categorize opportunities within the sales cycle based on their respective opportunity stages. Standard forecast categories such as Pipeline, Best Case, Commit, Omitted (excluded from forecasts), and Closed are available. Salesforce administrators can further enhance forecasting capabilities by introducing a Most Likely category in Lightning Experience and renaming categories for both single category rollups and cumulative category rollup scenarios. Customize Forecast Insights to see the information most important. Different users can have different views. To modify forecast categories in Salesforce: Customize the presentation of standard and custom forecast columns on the forecasts page, allowing for tailored visualization. For instance, arrange a custom Most Likely column to be positioned alongside the Open Pipeline column. For adjusting forecasts in Salesforce: 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 23, 2023in Einstein Insights, Salesforce Sales Cloud

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