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Sales CRM - Do You Need It

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 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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AI Safety and Responsibility

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 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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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 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Sales Cloud Innovation Driven by UX Design Principles

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 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Virtual Event Management Plan

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 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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AI Capability Maturity Model

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 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Generative AI Glossary

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 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Salesforce Revenue Lifecycle Management

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 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Marketing Cloud Growth and Advanced Editions

Marketing Cloud Growth and Advanced Editions

While Growth Edition is tailored to small businesses looking to get started with robust marketing automation, Advanced Edition caters to companies that need more sophisticated tools to scale personalization efforts, improve customer engagement, and streamline workflows. It offers additional features, including real-time journey testing, predictive AI for customer scoring, and advanced SMS capabilities, allowing businesses to enhance every touchpoint with their customers.

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Tableau Pulse

Effectively Using Tableau Pulse

Here are several tips to guide you in effectively using Tableau Pulse: Begin with essential metrics, allowing users to adapt to Pulse gradually before introducing more features. 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Audience Builder Marketing Cloud

Marketing Cloud Audience Builder dynamically generates targeted audiences from contacts stored in your account based on attribute and behavioral values. These audiences can be used to target or exclude contacts from your marketing activities. In today’s world, where a staggering 347.3 billion emails are sent globally every day, email inboxes have become increasingly cluttered. In your specific niche, you’re not the only one trying to reach your target audience; numerous others are vying for their attention. With consumers having a multitude of options, marketers bear the responsibility of positioning themselves in a way that makes it impossible for potential customers to overlook them. Achieving this requires embracing customer-centricity, which involves deeply engaging with different buyer personas by segmenting your contact list based on various parameters such as age, gender, location, interests, preferences, past purchases, browsing history, and position in the sales funnel. However, manually managing this segmentation, especially with a large contact list, can be overwhelming. This is where a dependable tool like Salesforce Marketing Cloud’s Audience Builder proves invaluable. The SFMC Audience Builder empowers marketers to create granular segmentation frameworks based on demographic and behavioral data, making the execution of targeted campaigns effortless. It dynamically generates targeted audiences by utilizing contacts in your account and leveraging behavioral values and stored attributes as guiding parameters. In this overview, we aim to provide a comprehensive understanding of SFMC’s Audience Builder. Key Entities and Terminologies: 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 Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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