HELM Archives - gettectonic.com - Page 4
Service Cloud Digital Engagement
17Aug

Boost Service Rep Productivity

Tips to Boost Service Rep and Field Service Tech Productivity Serviceblazer Allie Lawler shares top tactics for improving the productivity of service reps and field technicians. With over a decade of experience in the customer service industry, she has firsthand knowledge of how the landscape has changed, becoming more demanding and complex. Increased caseloads, rising customer expectations, and the pressure to generate revenue are placing significant stress on service teams. Research shows that 65% of service reps and 66% of mobile workers report that cases have become more complex. This complexity, combined with the rise of autonomous AI and heightened customer demands, can lead to burnout. Lawler explains that 69% of decision-makers in the service industry say that service rep attrition is a moderate to major challenge, which underscores the need for strategic solutions. Here are her top three strategies to boost productivity using Service Cloud and Salesforce Field Service, helping service teams thrive in today’s challenging environment. 1. Simplify Disjointed Processes One of the biggest productivity challenges for service reps and field techs is disjointed workflows. Although we picture service professionals actively engaging with customers, studies show that 61% of their day is spent on administrative tasks, internal meetings, and navigating fragmented systems. These disjointed processes slow down response times, increase the likelihood of errors, and hurt the customer experience. Streamline User Experience: A better-designed user experience can significantly reduce the time spent on non-customer-facing tasks. For instance, using Salesforce Lightning pages with Related Record and Dynamic Related List Components allows service reps to access all relevant information — from case details to account data — in one place. Quick-access buttons for workflows and automation further cut down the time spent searching for information, improving efficiency and customer satisfaction. Improve Accessibility: Enhanced accessibility benefits the entire team. Features like clear labeling and visual icons on Lightning Pages improve usability for everyone. These small changes can make navigating the system easier, especially for reps with visual impairments or those looking for a more intuitive experience. Make Pages Dynamic: Instead of overwhelming reps with unnecessary fields, conditional visibility can simplify the interface. By only displaying relevant fields at the right time, reps can focus on what’s important, reducing distractions and improving workflow efficiency. For mobile field technicians, ensuring they only see actionable information—like work order details or scheduling notes—can help them serve customers faster without wading through irrelevant data. 2. Empower Reps and Technicians to Make Decisions Autonomy is key to increasing both productivity and job satisfaction. Giving reps the ability to make decisions without needing constant managerial approval empowers them to solve issues faster and reduces customer wait times. Enable Exception-Based Approvals: One way to grant reps more decision-making power is through exception-based approvals. For example, allowing service reps to offer small discounts or credits without needing manager approval increases efficiency. Setting approval thresholds — such as allowing reps to approve discounts under 2%, but requiring approval for anything higher — strikes a balance between empowering reps and managing risk. Expand Field Technicians’ Roles: Field technicians can be given the ability to upsell services or renew contracts while they’re onsite, further enhancing productivity. With Field Service Mobile extensions, techs can access tools that allow them to complete tasks, upsell services, or even renew contracts directly from their mobile devices. This not only speeds up service but also contributes to revenue generation. 3. Use Metrics to Drive Motivation Keeping service reps and technicians motivated is crucial for maintaining productivity. Lawler suggests using both individual and team metrics to create a culture of accountability and improvement. Build a Leaderboard: A leaderboard that highlights top performers encourages healthy competition and gives reps something to strive toward. Recognition of their efforts helps create a motivated and engaged workforce. Provide Access to Personal Metrics: Giving reps access to their own performance metrics fosters a sense of ownership and encourages continuous improvement. For example, Lawler recommends using dynamic dashboards on the service reps’ homepages, showing them key metrics like case closures and current caseloads. Field technicians can also view their performance metrics by using deep links from the Field Service app to the Salesforce mobile app. This allows them to track their appointments, customer satisfaction scores, and overall performance, creating a sense of pride and motivation to improve. Boosting Productivity: A Summary By making small but impactful changes to the user experience, granting autonomy, and recognizing achievements, service organizations can significantly enhance productivity. Streamlining workflows, empowering decision-making, and motivating with metrics will help both service reps and field techs thrive — leading to happier customers and more successful teams. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
August 17, 2024in Data
Where Will the Data Scientists Go
13Jul

Where Will the Data Scientists Go

What Is to Become of the Data Scientist Role? This question frequently arises among executives, particularly as they navigate the changing roles of data teams, such as those at DataRobot. Where Will the Data Scientists Go may not be as relevant as what new places can they go with AI? The short answer? While tools may evolve, the core of data science remains steadfast. As the field of data science continues to expand, the role of the data scientist becomes increasingly vital. The need will grow, even as the role changes. Trust in AI is dependant upon human oversight. Beyond the Hype of Consumer AI The surge in consumer AI products has raised concerns among data scientists about the implications for their careers. However, these technologies are built on data and generate vast amounts of new data, presenting numerous opportunities. The real transformative potential lies in enterprise-scale automation. Enterprise-Scale Automation: The Data Scientist’s Domain Enterprise-scale automation involves creating large-scale, reliable systems. Data scientists are crucial in this effort, as they bring expertise in data exploration and systematic inference. They are uniquely positioned to identify automation opportunities, design testing and monitoring strategies, and collaborate with cross-functional teams to bring AI solutions from concept to implementation. As automation grows, the role of the data scientist is essential in ensuring these systems function effectively and safely, particularly in environments without human oversight. New Skills for Data Scientists: The Guardians of AI Applications Data scientists will need to acquire new skills to manage automation at scale, including securing the systems they build. Generative AI introduces new risks, such as potential vulnerabilities to prompt injections or other security threats. Governance and ensuring positive business impacts will become increasingly important, requiring a data science mindset. Building Great Data Teams in the Age of AI The future of data science will not be about automation replacing data scientists but about the evolution of roles and skills. Data scientists need to focus on the core foundations of their discipline rather than the specific tools they use, as tools will continue to evolve. Teams must be built intentionally, encompassing a range of skills and personalities necessary for successful enterprise automation. Business Leaders: Navigating the AI Landscape Business leaders will need to excel in decision-making, understanding the problems they aim to solve, and selecting the appropriate tools and teams. They will also need to manage evolving regulations, particularly those related to the design and deployment of AI systems. Data Scientists: Precision Thinkers at the Forefront Contrary to the belief that AI could replace coding skills, the essence of data science lies in precise thinking and clear communication. Data scientists excel in translating business needs into data-driven decisions and AI applications, ensuring that solutions are not only technically sound but also aligned with business objectives. This skill set will be crucial in the era of AI, as data scientists will play a key role in optimizing workflows, designing AI safety nets, and protecting their organization’s brand and reputation. The Evolving Role of Data Science The demand for precise, data-literate thinkers will only grow with the rise of enterprise AI systems. Whether they are called data scientists or another name, professionals who delve deeply into data and provide critical insights will remain essential in navigating the complexities of modern technology and business landscapes. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
July 13, 2024in Data, Enterprise, Generative AI, Salesforce, Technology
Required Startup Mentality
13Jul

Required Startup Mentality

Pivoting an established company’s business model is one of the most daunting challenges a CEO can face. When the new CEO of Zilliant took the company’s helm in 2022, the mandate was to accelerate growth and increase market share. It quickly became evident that success lay not in product updates or tech investments but in rethinking the organizational mindset. Required Startup Mentality. With a master’s degree in organizational behavior studies from the University of Illinois and extensive experience in organizational transformations, the CEO understood the process typically follows one of two paths: changing an existing culture or building one from scratch. High-profile examples provide inspiration for both approaches. Satya Nadella, upon becoming CEO of Microsoft in 2014, transformed the company from a “know-it-all” to a “learn-it-all” culture, fostering a growth mindset. Conversely, Marc Benioff of Salesforce instilled the “ohana” culture of family spirit, trust, and equality from the company’s inception. The CEO, having been immersed in Salesforce culture for over a decade, learned the importance of a robust support system for employees and customers. Upon joining Zilliant, the CEO brought lessons from Salesforce to the new role. Zilliant, a company with 23 years of history and a long-standing CEO, Greg Peters, had thrived in price optimization. However, to evolve further, the company needed to adopt a startup mentality. This approach included scrutinizing every budget line item, incorporating a new marketing playbook, and, crucially, leveraging existing talent in new ways. Identifying influencers within the company and placing them in positions of broader influence proved to be an effective strategy. Required Startup Mentality of leaders. This group of long-time employees, respected and experienced, became the “change champions.” Their elevated profile across the organization facilitated listening and acting on peer feedback, making the traditionally challenging task of cultural transformation more manageable. Initially, there was a struggle to clearly articulate the future vision. The transitional period was marked by confusion rather than resistance. This experience underscored the importance of vision and constant communication during transformation. The CEO discovered that merely communicating new company values wasn’t sufficient. Creating a unified vision with full conviction from the executive team was essential. Significant time was spent defining this vision in granular detail, learning from the successes and failures of other companies. Once the leadership team was aligned, this conviction was cascaded through the ranks. Instead of dictating change, employees were invited into the process through feedback sessions and pilot programs, giving them a stake in redefining cultural norms. Celebrating small wins, even if they’re a “loss,” was emphasized to support learning from missteps. Modeling desired behaviors, systematically updating policies, incentives, and processes reinforced the new mindsets and actions. It was an arduous journey, but staying intentional and bringing people along was crucial for evolving into the envisioned culture. Through the transformation, one principle remained constant: customers must see Zilliant as a partner rather than a vendor. This required individuals in every department—marketing, sales, customer success, product, and engineering—to proactively address and solve customer problems. Transitioning to a new business model and rethinking organizational mindset is a long-term effort requiring vision and commitment from all levels. The payoff, however, can be immense. Already, Zilliant has delivered two consecutive quarters of 60%-plus growth in year-over-year bookings and is positioned for continued record growth through the end of the year. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
July 13, 2024in Mulesoft, Salesforce
Smithsonian Data Cloud
12Jul

Smithsonian Data Cloud

The Smithsonian already embraces technology through its Open Access Initiative. ousing 2D and 3D renders of collections it provides access to over 20 museums. Enter Salesforce and Smithsonian Data Cloud. The world’s largest network of research, museum, and education facilities, the Smithsonian Institution, manages over 150 million collections across its 21 museums, the National Zoo, and eight research centers. Navigating this vast array of artifacts can be overwhelming, even for dedicated history enthusiasts. To enhance accessibility, the Smithsonian Institution is collaborating with cloud computing giant Salesforce. The goal is to streamline the user experience by integrating disparate data sources, such as ticketing systems and donation histories, into a unified system. This initiative aims to provide a clearer blueprint of Smithsonian’s diverse locations and offerings, according to Lori Freeman, Salesforce’s Vice President and General Manager of Nonprofit Industry Solutions and Strategy. “Smithsonian is so progressive. They have all this content, they have all this history, they have incredible tools,” Freeman told Technical.ly. “So this technology is going to enable them to reach audiences they would never get to.” For instance, this system will allow museum staff and volunteers to assist visitors in locating exhibits across different Smithsonian locations. Becky Kobberod, the Smithsonian’s Head of Digital Transformation, illustrated this by describing how a visitor at the Hirshhorn could ask about a piece of art at the National Museum of American History. “It’s connecting the dots and creating a Smithsonian ecosystem that we currently don’t have. If you want to engage in our various museums, you go to each of them separately,” Kobberod said. “Whereas now, we’re providing you a front door, so to speak, that can help you navigate across all of the many different museums and resources that we have.” Although specifics about the technology and user interface have not been disclosed, Freeman emphasized that the main objectives are to keep visitors engaged and to build lifelong relationships with both in-person and virtual visitors. Building on Current Tech Resources The Smithsonian’s Open Access initiative, launched in early 2020, offers 2D and 3D renderings of its collections, totaling around 5 million items to date. Users can interact with 3D images to get a 360-degree view of fossils, sculptures, and artifacts like Neil Armstrong’s spacesuit. This initiative began with 2.8 million pieces and continues to grow, said Kobberod. In addition to Open Access, the Smithsonian has other digital initiatives. In 2022, the National Museum of African American History and Culture, in collaboration with Baltimore-based digital services firm Fearless, launched a searchable online platform to make certain collections and stories more accessible. Kobberod noted that only about 1% of the collections are physically displayed at any given time. Digitizing and uploading these collections not only preserves them but also makes them accessible to people who might not have the means to visit in person. “Smithsonian exists as a service to all of the American public,” she said. “We know that this is core to our future, and to making what we have available to the nation and the world.” Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
July 12, 2024in Data, Salesforce, Salesforce Data Cloud, Salesforce Experience Cloud, Salesforce Hospitality Travel and Transportation, Salesforce Optimization, Salesforce Public Sector Solutions, Technology
Sales CRM - Do You Need It
05Jul

Sales CRM – Do You Need It

Every sale is a story of connecting needs with solutions and questions with answers. A sales customer relationship management (CRM) system is essential for facilitating these connections. It helps track customer interactions and creates meaningful engagements that drive business forward. However, many sales organizations are not fully utilizing this powerful, game changing tool. According to the latest State of Sales report, two-thirds of sales professionals feel overwhelmed by too many sales applications, and only 37% believe their organizations fully leverage their CRM systems. Let’s explore how a sales CRM can improve productivity and streamline operations to enhance every customer interaction. What is a Sales CRM? A sales CRM is software designed to help sales teams manage their interactions with customers and streamline pipeline management. It securely stores customer data, leverages the power of artificial intelligence (AI) to automate key tasks and generate content, and optimizes sales processes to increase efficiency and revenue. Why is a Sales CRM Important? The State of Sales report indicates that 69% of sales professionals need efficient tools to manage job complexity. A sales CRM helps teams stay organized by storing customer details in one place, making it easier to track past interactions, follow up on leads, and close deals. This reduces time spent on administrative tasks, allowing salespeople to focus more on connecting with customers and closing sales. Today’s CRMs are more than just databases. With AI capabilities, sales teams can access and analyze customer information and automate tasks such as drafting sales emails and prioritizing tasks, transforming them into a highly efficient revenue-generating unit. How Does a CRM Help Increase Sales? A CRM assists sales representatives in suggesting products or services that meet customer needs, following up on leads, and reconnecting at the right time. For example, if a customer has expressed interest in a product, the CRM records this interaction. When that product becomes available at a discount, the salesperson can reach out with a personalized offer. CRMs can also automate follow-up reminders, encouraging customers toward a purchase. Here’s how a CRM can be applied at each stage of the sales cycle: 5 CRM Best Practices A CRM system is most effective when it supports a well-defined sales strategy. Here are some tips to enhance CRM use: Does Your Company Need a Sales CRM? To determine the need for a sales CRM, evaluate current sales processes and future goals. A CRM is particularly beneficial for business if: Tips for Choosing the Best CRM Selecting the right CRM involves considering your unique business needs. What will you gain? What will it cost? How will you implement it? How will you train sales teams to use it? Key factors include: Use Your CRM to Tell More Sales Success Stories A sales CRM serves as a comprehensive record with 360 degree views of customer interactions, helping improve productivity, foster meaningful customer engagement, and craft better success stories for your business. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
July 5, 2024in Artificial Intelligence, Data, Salesforce
AI Safety and Responsibility
27Jun

AI Safety and Responsibility

The Future of AI: Balancing Innovation and Trust Authored by Justin Tauber, General Manager, Innovation and AI Culture at Salesforce, ANZ. AI Safety and Responsibility AI holds the promise of transforming business operations and freeing up our most precious resource: time. This is particularly beneficial for small businesses, where customer-facing staff must navigate a complex set of products, policies, and data with limited time and support. AI-assisted customer engagement can lead to more timely, personalized, and intelligent interactions. However, trust is paramount, and businesses must use AI power safely and ethically. The Trust Challenge According to the AI Trust Quotient, 89% of Australian office workers don’t trust AI to operate without human oversight, and 62% fear that humans will lose control of AI. Small businesses must build competence and confidence in using AI responsibly. Companies that successfully combine human and machine intelligence will lead in AI transformation. Building trust and confidence in AI requires focusing on the employee experience of AI. Employees should be integrated early into decision-making, output refinement, and feedback processes. Generative AI outcomes improve when humans are actively involved. Humans need to lead their partnership with AI, ensuring AI works effectively with humans at the helm. Strategies for Building Trust One strategy is to remind employees of AI’s strengths and weaknesses within their workflow. Showing confidence values — how much the model believes its output is correct — helps employees handle AI responses with the appropriate level of care. Lower-scored content can still be valuable, but human reviews provide deeper scrutiny. Prompt templates for staff ensure consistent inputs and predictable outputs. Explainability or citing sources for AI-generated content also addresses trust and accuracy issues. Another strategy focuses on use cases that enhance customer trust. The sweet spot is where productivity and trust-building benefits align. For example, generative AI can reassure customers that a product will arrive on time. AI in fraud detection and prevention is another area where AI can flag suspicious transactions for human review, improving the accuracy and effectiveness of fraud detection systems. Salesforce’s Commitment to Ethical AI Salesforce ensures that its AI solutions keep humans at the helm by respecting ethical guardrails in AI product development. Salesforce goes further by creating capabilities and solutions that lower the cost of responsible AI deployment and use. AI safety products help businesses use AI power without significant risks. Salesforce AI products are built with trust and reliability in mind, embodying Trustworthy AI principles to help customers deploy these products ethically. It’s unrealistic and unfair to expect employees, especially in SMBs, to refine every AI-generated output. Therefore, Salesforce provides businesses with powerful, system-wide controls and intuitive interfaces to make timely and responsible judgments about testing, refining responses, or escalating problems. Salesforce has invested in ethical AI for nearly a decade, focusing on principles, policies, and protections for itself and its customers. New guidelines for responsible generative AI development expand on core Trusted AI principles. Updated Acceptable Use Policy safeguards and the Einstein Trust layer protect customer data from external LLMs. Commitment to a Trusted AI Future While we’re still in the early days of AI, Salesforce is committed to learning and iterating in close collaboration with customers and regulators to make trusted AI a reality for all. Originally published in Smart Company. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
June 27, 2024in Generative AI

Salesforce Marketing Cloud Gamechanger

Why Choose Salesforce Marketing Cloud for Your Business? Before diving into the features, let’s explore what makes Salesforce Marketing Cloud (SFMC) a game-changer for businesses. At its core, SFMC streamlines marketing automation, handling tasks like email outreach and audience segmentation with ease. This efficiency allows you to focus on strategy instead of repetitive tasks. As marketing shifts toward personalization, understanding your customers is more important than ever. SFMC helps businesses analyze customer behaviors, purchasing patterns, and engagement trends, making it easier to deliver highly targeted campaigns. Now, let’s dive into the top five features that set Salesforce Marketing Cloud apart. 1. Journey Builder – Create Personalized Customer Journeys Every customer follows a unique path, and Journey Builder lets you design tailored experiences across multiple channels. It helps map out customer interactions, ensuring they receive the right message at the right time. For example, if you run an e-commerce store, Journey Builder can automatically trigger: Marketing Value: ✔ Enhances personalization, leading to higher engagement.✔ Automates follow-ups so no opportunity is missed. Use Case: A customer browses sneakers on your website but doesn’t purchase. With Journey Builder, you can set up an automated sequence: 2. Email Studio – Simplify Your Email Marketing Email remains one of the most effective marketing channels. With Email Studio, you can craft high-impact email campaigns using a drag-and-drop interface—no coding required. From newsletters to transactional emails, SFMC ensures your message reaches the right audience. You can also A/B test subject lines and layouts to optimize performance. Marketing Value: ✔ Personalized emails generate 6x more transactions than generic ones.✔ Built-in analytics help refine email strategies. Use Case: Instead of blasting the same email to all customers, SFMC lets you segment audiences: This targeted approach drives better results and improves ROI. 3. Audience Studio – Harness the Power of Data Keeping track of customer data across platforms can be overwhelming. Audience Studio centralizes data from multiple sources—your website, social media, and emails—into a unified customer profile. It then segments customers based on behaviors and preferences, making it easier to deliver hyper-targeted campaigns. Marketing Value: ✔ Better audience insights lead to more effective marketing.✔ Integrates data from different platforms into one dashboard. Use Case: Launching a new product? Audience Studio – now known as Data Cloud – can identify your most interested customers based on their browsing history and past purchases. This ensures your ad spend is focused on high-intent buyers instead of a general, broad, uninterested audience. 4. Mobile Studio – Reach Customers on Their Phones With over 50% of emails opened on mobile, a strong mobile strategy is crucial. Mobile Studio enables businesses to connect with customers via SMS, push notifications, and in-app messaging. Even better, messages can be personalized based on user behavior, ensuring relevance. Marketing Value: ✔ Engage customers on their most-used device.✔ Mobile marketing sees higher open and conversion rates than email. Use Case: With most users glued to their phones, Mobile Studio ensures your brand stays top of mind. 5. Analytics Builder – Measure Your Success Running campaigns is one thing, but knowing what’s working is what truly drives growth. Analytics Builder tracks campaign performance in real time, providing insights on open rates, clicks, and conversions. Its user-friendly dashboards allow businesses to quickly identify top-performing campaigns and optimize underperforming ones. Marketing Value: ✔ Data-driven decisions outperform guesswork.✔ Helps fine-tune campaigns for maximum ROI. Use Case: If email engagement is low, Analytics Builder may reveal that your CTA is too subtle. By refining the email design, click-through rates can improve almost instantly. Unlock the Full Potential of Salesforce Marketing Cloud Salesforce Marketing Cloud offers a powerful, data-driven marketing suite that elevates customer engagement and drives conversions. It is as important in B2B marketing as it is to B2C and creates amazing customer experiences. By leveraging tools like Journey Builder, Email Studio, and Audience Studio (now known as Salesforce Data Cloud), businesses can create personalized, automated campaigns that resonate with their customers. Want to maximize engagement and ROI? Salesforce Marketing Cloud is a gamechanger. Start exploring Salesforce Marketing Cloud today—because the future of marketing is all about smarter, more connected and data-driven experiences. Content updated February 2025. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
June 14, 2024in Analytics Builder, Data, Marketing Automation, Salesforce, Salesforce Marketing Cloud
SORA
24Apr

What is the SORA Model – In OpenAI’s Own Words

Introducing Sora: The Future of AI-Generated Video A New Frontier in AI Simulation We’re pioneering AI that understands and simulates physical reality—training models to help solve real-world interaction challenges. Meet Sora, our breakthrough text-to-video model that creates high-fidelity, minute-long videos from simple prompts while maintaining stunning visual quality. Sora in Action: Sample Creations 🏙️ “Neon Tokyo Stroll” A stylish woman in a black leather jacket walks confidently down a reflective Tokyo street, bathed in glowing neon signs. 🦣 “Prehistoric Giants” Woolly mammoths trek through snowy meadows, their fur rippling in the wind against mountain backdrops—captured in cinematic detail. 🚀 “Space Adventure Trailer” *A 30-year-old astronaut in a red wool helmet explores salt deserts under blue skies—shot on “35mm film” with vivid colors.* 🌊 “Big Sur’s Raw Beauty” A drone captures waves crashing against rugged cliffs at sunset, with a distant lighthouse completing this Pacific Coast masterpiece. 🕯️ “Curious Creature” *A fluffy monster kneels beside a melting candle, wide-eyed with wonder in a cozy 3D-rendered scene.* Why Sora Stands Out ✅ Complex scene generation with multiple characters✅ Physics-aware motion (though still improving)✅ Emotionally expressive characters✅ Multi-shot continuity within single videos Current Limitations ⚠️ Physics inaccuracies (e.g., objects not reacting realistically)⚠️ Spatial confusion (left/right or camera movement errors)⚠️ Spontaneous entity generation in crowded scenes Example: A bitten cookie might not show teeth marks; a basketball might “morph” unnaturally after swishing through a hoop. Safety First We’re implementing robust safeguards: Early Access & Future Vision Sora is now available to: This controlled rollout lets us refine Sora responsibly before broader release. Technical breakthrough: Sora uses diffusion transformers and DALL·E 3’s recaptioning tech to achieve unprecedented video coherence across variable durations/resolutions. This Is Just the Beginning Sora represents a critical step toward AI that understands physical reality—a key milestone on the path to AGI. Explore more examples and our technical report here. The future of video creation is being rewritten. Stay tuned. 🎥✨ More Sample Prompts & Outputs Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

Read More
April 24, 2024in Data
Sales Cloud Innovation Driven by UX Design Principles
29Feb

Sales Cloud Innovation Driven by UX Design Principles

Driving Sales Cloud Innovation Through UX Design Principles: Sales Cloud Innovation Driven by UX Design Principles Enhancing user experiences and driving innovation within Sales Cloud relies on the fundamental principles of UX design. The core philosophy revolves around understanding users’ needs and ensuring simplicity as the default, allowing for increased trust and success. Here’s how three foundational UX design principles guide the product design team at Salesforce: UX Design in Action: The principles of meeting users where they’re at, maintaining low walls and high ceilings, and favoring simplicity are integral to Sales Cloud’s UX design philosophy. By adhering to these principles, Sales Cloud strives to build confidence among users, fostering a collaborative approach to developing innovative and user-friendly products.  Sales Cloud administrators need to operate with the same thought process. Tectonic is proud to introduce our Sales Cloud Implementation Solutions. Content updated May 2024. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
February 29, 2024in Salesforce Implementation Services, Salesforce Sales Cloud
Virtual Event Management Plan
23Feb

Virtual Event Management Plan

Have You Recently Attended an Information-Packed Webinar? Think back to your experience: from how you first learned about the event to its promotion and eventual execution. It might seem like organizing a webinar is straightforward, but… Virtual event management requires meticulous planning, from the initial concept and promotion to post-event tasks. Read on to discover how you can plan your online events in Salesforce with ease and what you’ll need for success. What is Virtual Event Management Plan in Salesforce? Virtual event management encompasses all the activities needed to ensure your online event runs smoothly. It’s how you prepare to share your insights—or those of other experts—virtually. Why plan your events in Salesforce? All your data stays integrated within your CRM, allowing you to manage every aspect of your event, from registration and ticketing to marketing and attendee engagement, without the hassle of multiple tools or disorganized planning. Types of Virtual Event Management Plans in Salesforce Choosing the right virtual event format can be overwhelming, but here are some common options: How to Plan Virtual Events in Salesforce: A 4-Step Guide 1. Create a Virtual Event Concept When planning a virtual event, don’t treat it like an in-person one. Virtual events require their own set of strategies. Start by answering these questions: Remember, seasonal holidays or other events can impact attendance. Avoid scheduling events during low-attendance periods, like the summer or late December. 2. Select an Event Management Tool You need the right technology to manage online events effectively. Salesforce offers robust functionality for this. When selecting a tool for Salesforce event management, look for these features: 3. Outline Content and Strategy Crafting a virtual event that resonates with your audience requires more than just setting a date and topic. You need a compelling content strategy. Here’s how to make it work: 4. Design an Event Microsite Like in-person events, virtual ones benefit from a dedicated event page or microsite. On your Salesforce Experience Cloud site, you can: The Ultimate Virtual Events Checklist Final Thoughts Virtual event management isn’t daunting if approached wisely. With a clear plan, engaging content, and the right tools, success is within reach. Follow these steps, and your next virtual event will be a breeze. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
February 23, 2024in Data, Enterprise, Marketing Automation, Salesforce, Salesforce Experience Cloud, Technology
AI Capability Maturity Model
30Jan

AI Capability Maturity Model

The AI Capability Maturity Model (AI CMM), devised by the Artificial Intelligence Center of Excellence within the GSA IT Modernization Centers of Excellence (CoE), functions as a standardized framework for federal agencies to evaluate their organizational and operational maturity levels. It is equally useful for private organizations in aligning them with predefined objectives. Instead of imposing normative capability assessments, the AI CMM concentrates on illuminating significant milestones indicative of maturity levels along the AI journey. The AI Capability Maturity Model focuses primarily on the development of AI capabilities within an organization. It evaluates an organization’s maturity across four main areas: data, algorithms, technology, and people. Serving as a valuable tool, the AI CMM assists organizations in shaping their unique AI roadmap and investment strategy. The outcomes derived from AI CMM analysis empower decision-makers to identify investment areas that address immediate goals for rapid AI adoption while aligning with broader enterprise objectives in the long run. Maturity vs capability models A maturity model tends to measure activities, such as whether a certain tool or process has been implemented. In contrast, capability models are outcome-based, which means you need to use measurements of key outcomes to confirm that changes result in improvements. AI development rooted in sound software practices underpins much of the content discussed in this and other chapters. Though not explicitly delving into agile development methodology, Dev(Sec)Ops, or cloud and infrastructure strategies, these elements are fundamental to the successful development of AI solutions. The AI CMM elaborates on how a robust IT infrastructure leads to the most successful development of an organization’s AI practice. What are the maturity levels of AI? What are the maturity levels of Artificial Intelligence? Or it can be measured this way. AI Maturity Model Why is AI maturity important? The AI Maturity Assessment is a process designed to help organizations evaluate their current AI capabilities, identify gaps and areas for improvement, and develop a roadmap to build a more effective AI program. Organizational Maturity Areas Organizational maturity areas represent the capacity to embed AI capabilities across the organization. Two approaches, top-down and user-centric, offer distinct perspectives on organizational maturity. Top-Down, Organizational View Bottom-Up, User-centric View Operational Maturity Areas Operational maturity areas represent organizational functions impacting the implementation of AI capabilities. Each area is treated as a discrete capability for maturity evaluation, yet they generally depend on one another. PeopleOps CloudOps DevOps SecOps DataOps MLOps AIOps AI Capability Maturity Model This comprehensive overview of organizational and operational maturity areas underlines the multifaceted nature of AI implementation and the critical role played by diverse elements in ensuring success across different layers of an organization. How AI is transforming the world? AI-powered technologies such as natural language processing, image and audio recognition, and computer vision have revolutionized the way we interact with and consume media. With AI, we are able to process and analyze vast amounts of data quickly, making it easier to find and access the information we need. Like1 Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
January 30, 2024in Salesforce Einstein
Generative AI Glossary
27Jan

Key Questions to Ask About Generative AI Before Diving into the Gene Pool

As generative AI plays an increasingly significant role in shaping business decisions and reshaping customer relationships, leaders must grasp the potential.  This means use cases, and risks associated with AI. The good, the bad, and the ugly.  Questions to Ask About Generative AI gene pool. The journey begins with asking pertinent questions. Are you feeling overwhelmed by generative AI yet? The multitude of questions that businesses need to address regarding AI—covering technology, skills, privacy, data, and organizational requirements, among others—can be seemingly endless. Knowing where to start and identifying the most crucial AI-related questions before jumping into implementation can be challenging.  But it is totally worth the time. “Many organizations are venturing into AI for the first time. They are transitioning from predictive AI, machine learning, or deep learning to explore the next generation of AI for elevating productivity.” Marc Benioff, CEO of Salesforce While the demand and potential of AI are substantial, so are the associated risks. To assist in navigating this landscape, here’s a snapshot: Employee View: Exec Summary: Your Next Move: By Tectonic’s Marketing Consultant, Shannan Hearne Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
January 27, 2024in Generative AI, Salesforce Einstein
Salesforce Revenue Lifecycle Management
25Jan

Salesforce Revenue Lifecycle Management

Seamless Revenue Lifecycle Management Powered by Salesforce Revenue Cloud Is your company struggling to manage complex revenue streams, manual billing processes, or compliance with ASC 606 and IFRS 15 standards? Tectonic specializes in implementing Salesforce Revenue Lifecycle Management solutions through Salesforce Revenue Cloud. We offer tailored strategies for mid-market and enterprise companies across industries like High Tech, SaaS, Manufacturing, Hospitality, and Life Sciences. Industries We Serve The Challenges You Face Managing complex revenue streams can be overwhelming without the right systems. If your business is facing challenges like: Tectonic’s Tailored Solutions – Salesforce Revenue Lifecycle Management We leverage Salesforce Revenue Cloud to automate and streamline your Salesforce Revenue Lifecycle Management, helping companies overcome these challenges with ease. Key Use Cases for Salesforce Revenue Lifecycle Management (RLM) Content updated September 2024. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more 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 AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

Read More
January 25, 2024in Data, Enterprise, Salesforce, Salesforce CPQ, Salesforce Revenue Cloud

Subscribe to our mailing list. Join our mail list to receive our newsletter

We'll keep you up to date with our latest news, insights, free resources, and much more.
Don't worry, we won't spam you.
gettectonic.com