Data Archives - gettectonic.com - Page 123
Salesforce Stakeholders
02Sep

Who Are Your Salesforce Stakeholders?

Understanding the intricacies of Salesforce and using it effectively to support business processes is crucial for admins and developers. However, the significance of communication skills is often overlooked in technical training. Beyond technical expertise, vital non-technical skills, such as active listening and extracting relevant information from business stakeholders, play a pivotal role in addressing Salesforce users’ true needs. Here is an approach that enables working more efficiently in a proactive mode rather than reactive. Once you identify your key salesforce stakeholders, here are some great ways to keep the doorways of communication open. Start by putting yourself in your stakeholders’ shoes, be it business users, customers, or consulting clients. Transitioning into Salesforce there is a need to gather information, empathize, and build a compelling case for change. Following are insights and strategies for effectively collaborating with stakeholders to understand business requirements, pain points, and objectives. If you’re keen on enhancing these skills, read on! Importance of Stakeholders As a Salesforce Administrator, collecting information from diverse stakeholders with varying knowledge levels is inevitable. It’s essential to recognize that the required information may not be thoroughly documented or held by a single individual. Engaging with individuals beyond primary users, such as those in supply chain and training, broadens the understanding of business processes. Maximizing the value of every interaction is crucial, considering the time constraints of both yourself and stakeholders. Determining Stakeholder Numbers The number of stakeholders to engage with depends on the project’s scope. Successful benchmarks have demonstrated varying needs: Identifying Stakeholder Groups Consider speaking with stakeholders in four directions: upwards, downwards, inside, and outside. Each group includes: The 3 Types of Stakeholders to Involve Locating Stakeholders Establishing a network within the organization is beneficial. For newcomers or consultants, navigating the terrain may be challenging. Start with the project sponsor for direction and inquire about additional contacts after each conversation. Preparation and Respecting Stakeholders’ Time Request meetings based on stakeholders’ availability, typically ranging from 15 to 45 minutes. Allocate an hour in your calendar to accommodate potential extensions. Prepare thoroughly, understanding whom you’re speaking to and having insights into the discussed system or process. Leaving the Door Open: Saying Thank You Upon closing a meeting, express gratitude and leave the door open for future conversations. Encourage stakeholders to contact you if they have further thoughts, and reciprocate by offering to send a quick note if additional insights emerge. Send a follow-up email expressing thanks and summarizing key takeaways. Incorporating these practices ensures effective communication with stakeholders, facilitating a more successful and collaborative Salesforce implementation. 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

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September 2, 2021in Salesforce
Public Group vs Queue in Salesforce
13Aug

Public Group vs Queue in Salesforce

What distinguishes a public group from a queue in Salesforce? In Salesforce, public groups and queues serve different purposes. Public Group vs Queue in Salesforce: What is a queue in Salesforce? A queue in Salesforce is a collection point for records awaiting assignment. Queues allow users with access to review and claim ownership of records. They help prioritize, distribute, and assign records to team members, facilitating effective workload management. Constraints of Queues in Salesforce Salesforce does not limit the number of queues you can create. Queues can support various objects, including cases, leads, service contracts, and custom objects. There is no maximum limit on the number of queues, and you can set email notifications for queue members. Can a queue own a task in Salesforce? Yes, a queue can own a task in Salesforce. Tasks assigned to a queue appear in a list where any member can take ownership. This setup helps teams share and manage their workload effectively. Can a queue own a record in Salesforce? Yes, a queue can own a record in Salesforce. However, when creating new lead records, you cannot initially assign them to a lead queue. You can change the record’s owner to a queue after it has been created. How do Salesforce Queues streamline workloads? Salesforce Queues streamline workloads by: Groups vs. Public Groups in Salesforce Roles vs. Public Groups in Salesforce Joining a Public Group in Salesforce Anyone can join a public group in Salesforce. However, private groups restrict visibility and membership to group members only. Unlisted groups provide complete privacy, where only invited members can join and interact. Limits on Public Groups in Salesforce Creation of Public Groups Salesforce does not impose a limit on the number of public groups you can create within an organization. Public Group vs Queue in Salesforce 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

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August 13, 2021in Salesforce
Implications for the DMP Landscape
24Jul

Implications for the DMP Landscape

Salesforce Sunsets Audience Studio: Implications for the DMP Landscape Salesforce recently announced the discontinuation of Audience Studio, their Data Management Platform (DMP) acquired five years ago as Krux. This move raises questions about the future of DMPs in the evolving digital landscape. Implications for the DMP Landscape. Current State of DMPs Understanding the context and future of DMPs requires examining their current functionality and limitations: Inherent DMP Limitations Salesforce’s decision to sunset their DMP highlights several critical limitations inherent to the technology: DMP Strengths Despite these limitations, DMPs still offer value in certain areas: Uncertain Future of DMPs The future of DMPs is uncertain as they primarily serve media optimization reliant on third-party cookies. While evolution in the post-cookie world is possible, it requires significant changes in technology and adtech provider support. Advantages of CDPs CDPs address many of the shortcomings of DMPs and offer several advantages: Challenges and Future Developments The quest for a comprehensive view of the customer journey remains challenging due to data silos within major platforms like Google, Facebook, and Amazon. However, emerging technologies like Google’s Federated Learning of Cohorts (FLoC) offer potential solutions for privacy-preserving data sharing. Strategies for Marketers Marketers need to focus on building first-party data sets and quantifying their value. This involves: Transitioning from DMP to CDP For brands transitioning from DMPs to CDPs, selecting the right CDP is crucial. Key features to look for include: Conclusion The discontinuation of Salesforce’s Audience Studio reflects broader trends and challenges within the DMP category. As the digital landscape evolves, CDPs are emerging as a more effective and future-proof solution for managing and leveraging customer data. Brands must adapt by investing in robust CDP solutions that offer comprehensive, customer-centric data management and engagement capabilities. 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

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July 24, 2021in Salesforce Data Cloud, Salesforce Optimization
Salesforce Marketing Cloud Social Studio
17Jul

Topic Profiles in Salesforce Marketing Cloud Social Studio

Follow these recommended practices to optimize your topic profiles in Social Studio effectively: 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

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July 17, 2021in Marketing Automation, Salesforce Marketing Cloud
Quest to be Data-Driven
14Jul

Quest to be Data-Driven

“Data-driven” is a business term that refers to the utilization of data to inform or enhance processes, decision making, and even the revenue model. The quest to be data-driven is afoot. In recent years, a data-driven business approach has gained a great deal of traction. It is true that every business deals with data — however, data-driven businesses systematically and methodically use data to power business decisions. Incorporating the notion of being a data-driven enterprise enriches the understanding of how data can profoundly impact business operations. Leveraging data not only offers valuable insights but also enhances adaptability, thereby sharpening the competitive edge of an organization. These insights serve as a foundation for making market predictions and adapting business strategies accordingly, often leading to revenue growth. While data may not provide solutions to all organizational challenges, embracing a data-driven approach lays a solid groundwork for achieving organizational goals. Data-driven contrasts with decision making that may be driven by emotions, external pressure, or instinct. So, what exactly constitutes a data-driven enterprise? It transcends mere number-crunching; it involves creating sustainable value for customers and innovating efficiently in the digital economy. Encouraging a data-driven approach across all facets of the business is paramount to success. Gaining data insights from data is invaluable. It allows organizations to reshape customer interactions, provided the data is accurate, accessible, and integrated into existing processes. However, many struggle to extract value from their data due to the complexity of transforming raw data into actionable insights. Understanding the hierarchy of data, information, and insights is crucial, as actionable insights drive data-driven success. Furthermore, adaptability emerges as a crucial factor in today’s rapidly evolving landscape. The ability to swiftly respond to changes and leverage data for informed decision-making is paramount. Data-driven insights serve as powerful tools for facilitating change and fostering agility, ensuring organizations remain competitive. Moreover, data serves as a catalyst for revenue generation through various business models such as Data as a Service (DaaS), Information as a Service (IaaS), and Answer as a Service (AaaS). By putting customer satisfaction at the forefront and leveraging data-driven insights, organizations can evolve their products proactively and drive growth. Building a data-driven enterprise involves a strategic approach encompassing nine key steps, including defining end goals, setting tangible KPIs, and fostering a data-driven culture across the organization. However, challenges such as deciding what to track, lack of tools or time for data collation, and turning data into meaningful insights may arise. Overcoming these challenges requires a cultural shift towards data-driven decision-making and the adoption of modern data architectures. Walking (or perhaps running) the data-driven journey with Tectonic involves connecting and integrating various data sources to ensure seamless data flow. By embracing a data-driven approach, organizations can unlock the full potential of their data, driving innovation, enhancing customer experiences, and achieving long-term success in today’s dynamic, rapidly evolving business landscape. Expanding upon this foundation, let’s go deeper into the transformative power of data-driven enterprises across various industry sectors. Consider, for instance, the retail industry, where data-driven insights revolutionize customer experiences and optimize operational efficiency. In the retail sector, understanding consumer behavior and preferences iscrucial to daily, quarterly, and annual success. By harnessing data analytics, retailers can analyze purchasing patterns, demographic information, and social media interactions to tailor marketing strategies and product offerings. For example, through personalized recommendations based on past purchases and browsing history, retailers can enhance customer engagement and drive sales. Moreover, data-driven insights enable retailers to optimize inventory management and supply chain operations. By analyzing historical sales data and demand forecasts, retailers can anticipate fluctuations in demand, minimize stockouts, and reduce excess inventory. This not only improves operational efficiency but also enhances customer satisfaction by ensuring products are readily available when needed. Furthermore, in the healthcare industry, data-driven approaches revolutionize patient care and treatment outcomes. Electronic health records (EHRs) and medical imaging technologies generate vast amounts of data, providing healthcare professionals with valuable insights into patient health and treatment efficacy. By leveraging predictive analytics and machine learning algorithms, healthcare providers can identify patients at risk of developing chronic conditions, enabling early intervention and preventive care. Additionally, data-driven approaches facilitate personalized treatment plans tailored to each patient’s unique medical history, genetic makeup, and lifestyle factors, improving treatment outcomes and patient satisfaction. In the manufacturing sector, data-driven strategies optimize production processes, enhance product quality, and reduce operational costs. By implementing Internet of Things (IoT) sensors and connected devices on the factory floor, manufacturers can collect real-time data on equipment performance, energy consumption, and production efficiency. Analyzing this data enables manufacturers to identify inefficiencies, minimize downtime, and proactively schedule maintenance to prevent costly equipment failures. Moreover, data-driven insights inform process improvements and product innovations, enabling manufacturers to stay competitive in an increasingly globalized market. The ultimately transformative impact of data-driven enterprises extends across various industry sectors, revolutionizing business operations, enhancing customer experiences, and driving innovation. By embracing a data-driven approach and leveraging advanced analytics technologies, organizations can unlock new opportunities for growth, efficiency, and competitive advantage in today’s data-loaded digital economy. Becoming data-driven requires harnessing the full potential of your data, transforming it into actionable insights, and iteratively refining your processes. Remember, data itself is not the ultimate goal but rather a powerful tool to drive informed decision-making and organizational growth. To establish a truly data-driven organization, consider the following nine steps: By following these steps, your organization can effectively harness the power of data to drive innovation, improve decision-making, and achieve sustainable growth in today’s data-driven landscape. Tectonic recognizes the challenges in the quest to be data-driven. We’ve launched a Data Cloud Salesforce Implementation Solution to help you. Content updated May 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

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July 14, 2021in Data, Enterprise, Salesforce, Salesforce Data Cloud, Salesforce Health and Life Sciences Solutions, Salesforce Hospitality Travel and Transportation, Salesforce Manufacturing Automotive Energy, Technology

Migrate to Salesforce

How is data migrated to Salesforce? You can migrate data by importing or inserting records from another Salesforce legacy source, organization, or other external source into a new target organization. It’s important to import object data in a particular order to maintain record relationships. Salesforce Data Migration Tools. The tools that perform data migration are of the ETL type (extract, transform and load) and there are a wide variety available. Some are suitable for beginners or non-programmers, while others may be preferred by developers. How long does Salesforce migration take? Based on our previous experiences, the typical timeframe for a Salesforce data migration process ranges from 20 days to approximately 2.5 months. Automated data migration tools are available to import and export data between different Salesforce orgs. How difficult is Salesforce data migration? In the grand scheme of things migration is a more challenging project and will vary greatly depending on the format, accuracy, and size of the data source or sources. What are the phases of Salesforce data migration? The three general phases of the migration project are preparation, migration, and user acceptance testing. Preparation is the most critical step. First off you have to develop a data migration plan complete with timelines, dependencies, and milestones. Preparation of the data and cleansing and mapping to Salesforce are topics for an entire additional article. Then the migration itself begins and everyone involved must be aware of any downtime this could create. Finally once the data has been migrated to Salesforce you have to ensure it is transferred correctly and check it for accuracy. You can migrate data by importing or inserting records from another Salesforce legacy source organization or other external source into a new org as well. If this primer has you concerned about your Salesforce data migration project, contact Tectonic today. 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

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July 12, 2021in Salesforce
safeguarding personal information
22Jun

Be Careful With My Data

Aware of the escalating significance of data protection in the digital age, customers are becoming increasingly vigilant about safeguarding their personal information. However, amidst this heightened awareness, companies have an opportunity to earn and maintain trust by providing clear and transparent explanations of how they intend to use customer data. Gone are the days when customers passively accept vague assurances buried within lengthy user agreements. Today, they demand transparency and accountability regarding data usage, driven partly by a general sense of skepticism towards companies that may not always prioritize customer benefits when leveraging data. Indeed, not all data is perceived equally by customers. While there’s a growing comfort level with companies collecting first-party data directly from their platforms, such as website clicks or interactions, there’s often greater apprehension about third-party data sourced from external data brokers. This disparity in perception underscores the importance of companies being mindful of the origin and nature of the data they collect, respecting customer preferences, and ensuring transparent data practices. Amidst the evolving landscape of data protection, the imperative for securing sensitive personal information has never been more critical. What was once solely a concern for businesses has now become a shared responsibility for consumers and individuals alike. With an abundance of information available on data protection measures, ranging from safeguarding passwords and financial details to protecting devices from hackers and malware, individuals are inundated with advice. Yet, navigating this sea of information can be daunting, especially for those less technologically savvy. In response to this challenge, we’ve compiled a comprehensive list of 32 simple and practical tips for enhancing data security and protecting personal information. These tips encompass a wide array of measures, including encrypting data, backing up data regularly, ensuring the permanent deletion of old computer hard drives, securing wireless networks, using firewalls, and encrypting data on removable storage devices like USB drives and SIM cards. Furthermore, our list provides guidance on protecting data while working remotely, covering topics such as using virtual private networks (VPNs), maintaining physical control over devices, employing personal hotspots, separating personal and work devices, and implementing cybersecurity policies. Additionally, it delves into security best practices for video conferencing, identifying and avoiding phishing emails, installing antivirus and malware protection, and securely disposing of old IT equipment and records. By adopting these practical measures, individuals and businesses can fortify their defenses against cyber threats and data breaches, thereby safeguarding personal information and preserving trust with customers. In an era where data privacy is paramount, proactive steps towards data protection not only mitigate risks but also demonstrate a commitment to ethical and responsible data practices. As technology continues to evolve, cultivating a culture of data security and privacy awareness remains essential for fostering trust and confidence in the digital ecosystem. Keeping your passwords, financial, and other personal information safe and protected from outside intruders has long been a priority of businesses, but it’s increasingly critical for consumers and individuals to heed data protection advice and use sound practices to keep your sensitive personal information safe and secure. There’s an abundance of information out there for consumers, families, and individuals on protecting passwords, adequately protecting desktop computers, laptops, and mobile devices from hackers, malware, and other threats, and best practices for using the Internet safely. But there’s so much information, from using a virtual private network (VPN) to using unique and strong passwords or an antivirus software, it’s easy to get confused, particularly if you’re not tech-savvy. We’ve compiled a list of 101 simple, straightforward best practices and tips for keeping your family’s personal information private and protecting your devices from threats. Securing Your Devices and Networks 1. Encrypt your data Data encryption isn’t just for technology geeks; modern tools make it possible for anyone to encrypt emails and other information. “Encryption used to be the sole province of geeks and mathematicians, but a lot has changed in recent years. In particular, various publicly available tools have taken the rocket science out of encrypting (and decrypting) email and files. GPG for Mail, for example, is an open source plug-in for the Apple Mail program that makes it easy to encrypt, decrypt, sign and verify emails using the OpenPGP standard. And for protecting files, newer versions of Apple’s OS X operating system come with FileVault, a program that encrypts the hard drive of a computer. Those running Microsoft Windows have a similar program. This software will scramble your data, but won’t protect you from government authorities demanding your encryption key under the Regulation of Investigatory Powers Act (2000), which is why some aficionados recommend TrueCrypt, a program with some very interesting facilities,” explains John Naughton in an article for The Guardian. Twitter: @guardian 2. Backup your data One of the most basic, yet often overlooked, data protection tips is backing up your data. Basically, this creates a duplicate copy of your data so that if a device is lost, stolen, or compromised, you don’t also lose your important information. As the U.S. Chamber of Commerce and insurance company Nationwide points out, “According to Nationwide, 68% of small businesses don’t have a disaster recovery plan. The problem with this is the longer it takes you to restore your data, the more money you’ll lose. Gartner found that this downtime can cost companies as much as $300,000 an hour.” Twitter: @growwithco 3. Make your old computers’ hard drives unreadable Much information can be gleaned through old computing devices, but you can protect your personal data by making hard drives unreadable before disposing of them. “Make old computers’ hard-drives unreadable. After you back up your data and transfer the files elsewhere, you should sanitize by disk shredding, magnetically cleaning the disk, or using software to wipe the disk clean. Destroy old computer disks and backup tapes,” according to the Florida Office of the Attorney General. Twitter: @AGPamBondi 4. Secure your wireless network at your home or business A valuable tip for both small business owners and individuals or families, it’s always recommended to secure your

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June 22, 2021in Marketing Automation
Python Alongside Salesforce
17Jun

Salesforce and Python

Python is not essential for Salesforce, but it can be extremely useful for various tasks, such as data analysis, automation, and integration: Salesforce’s Primary Programming Languages Salesforce’s primary programming language is Apex, which is used for backend development. For the frontend, Visualforce is used to build the user interface. Apex is similar to Java and allows developers to embed business logic within system events. Automating Data Extraction for Analysis In many organizations, analysts often need to automate the process of extracting data from Salesforce objects to perform data analysis or build reports locally. Previously, analysts followed a manual and time-consuming process to create KPI reports, which included: This method was prone to errors and inefficiencies. Fortunately, Python scripts and Salesforce’s API can automate the entire process. Retrieving Salesforce Data Using Python To get started, install the Simple Salesforce package, an open-source Python library that enables easy interaction with Salesforce’s REST API. This allows users to either download pre-built reports directly from Salesforce or create custom datasets using SOQL (Salesforce Object Query Language). Set Up Your Python Package and API Access Accessing Salesforce Data There are two primary methods for retrieving Salesforce data into a Python DataFrame: Automating Data Processing and Reporting Once you have your data in a DataFrame, you can perform data wrangling and aggregation tasks. You can export the results to a Google Sheet using the Google Sheets API and the pygsheets package, or ingest the data into a database table. aFurthermore, you can schedule your Python script to run automatically using a tool like Apache Airflow, which will run the script at designated intervals, aggregate the data, and update dashboards with the latest information. This approach automates the entire reporting process, saving time and reducing the likelihood of errors in your workflow. 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

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June 17, 2021in Data, Google, Salesforce
Tectonic Salesforce Services
16Jun

Merging Duplicate Sales Cloud Leads in Lightning Experience

Considerations when merging duplicate leads in Sales Cloud: Campaigns When merging duplicate leads in Sales Cloud associated with different campaigns, Salesforce preserves the campaign Member Status Updated date for each campaign to which the merged lead belongs. Related Items, Chatter Feeds, and Attachments In the case of merging duplicate Sales Cloud, leads, records linked to items like campaigns or activities, Salesforce establishes connections with the merged record, with certain exceptions. Chatter feeds are maintained solely from the master record. Salesforce Files attached in the Chatter feed or listed under Files are preserved in the merged record. Hidden and Read-Only Fields Salesforce retains data in hidden or read-only fields, including sharing settings, from the master record. These hidden fields remain concealed during the merging process. The merged record preserves the Created By user and Created Date from the oldest merged record, regardless of which record serves as the master. The Last Modified By date reflects the merge date. Non-Master Leads Non-master leads are relocated to the Recycle Bin after the merge process. One tool for duplicate management is Cloudingo. Improve and better manage Salesforce data with Cloudingo. From deduping to importing and even migrating data, Cloudingo makes it easier to manage your Salesforce org. Find duplicates within your existing records and easily merge them. The Salesforce AppExchange offers multiple tools for duplicate record management. 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

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June 16, 2021in Data, Salesforce, Salesforce Sales Cloud
Improving customer experiences with Marketing Cloud Personalization
15Jun

Understanding Marketing Cloud List

Understanding Marketing Cloud Lists: A Guide for Email Studio Users If you use Salesforce Marketing Cloud (SFMC) Email Studio, you may wonder: This guide explains lists, their types, and best practices for managing subscriber data. What Is a Marketing Cloud List? Lists are the default way to store subscriber data in Email Studio. They help: Key Considerations for Lists ✔ Best for small datasets (under 500,000 subscribers).✔ Not ideal for complex data (use Data Extensions instead).✔ Use cases: Preference centers, opt-outs, basic segmentation. Types of Email Studio Lists Marketing Cloud has two main list types: 1. Publication Lists 📍 Where to find them:Email Studio » Subscribers » Lists 2. Suppression Lists 📍 How to manage: When to Use Lists vs. Data Extensions Feature Lists Data Extensions Max Records 500,000 Unlimited Data Complexity Simple (subscriber status, preferences) Complex (transactional, relational data) Use Case Opt-outs, basic segmentation Advanced segmentation, dynamic content Performance Slower for large datasets Optimized for scalability 💡 Best Practice: How Admins Can Improve Data Quality Final Thoughts Marketing Cloud lists are great for basic subscriber management, but Data Extensions offer more flexibility for advanced use cases. By understanding the differences, you can optimize your email strategy for better deliverability and segmentation. 🚀 Next Steps: Need help? Check Salesforce’s official documentation or consult a Tectonic Marketing Cloud expert. 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

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June 15, 2021in Data, Salesforce, Salesforce Marketing Cloud
public sector and tribal governent
10Jun

What is BI in Salesforce?

Salesforce BI helps to create fast, digestible reports to help you make informed decisions at the right time. Salesforce Einstein is a leading business intelligence software solution that will help streamline your operations. Read on in this insight to learn how Salesforce BI capabilities including Tableau rank in the Gartner Magic Quadrant. Make the right decision every time using analytics that go beyond business intelligence software. See why Gartner named Salesforce (Tableau) a Leader in the Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms for the 11th consecutive year. Data and analytics leaders must use analytics and BI platforms to support the needs of IT, analysts, consumers and data scientists. While integration with cloud ecosystems and business applications is a key selection requirement, buyers also need platforms to support openness and interoperability. Analytics and business intelligence (ABI) platforms enable less technical users, including business people, to model, analyze, explore, share and manage data, and collaborate and share findings, enabled by IT and augmented by artificial intelligence (AI). For several years, the Magic Quadrant for Analytic and Business Intelligence Platforms has emphasized visual self-service for end users augmented by AI to deliver automated insights. While this remains a significant use case, the ABI platform market will increasingly need to focus on the needs of the analytic content consumer and business decision makers. To achieve this, automated insights must be relevant in context of a user’s goals, actions and workflow. Many platforms are adding capabilities for users to easily compose low-code or no-code automation workflows and applications. This blend of capabilities is helping to expand the vision for analytics beyond simply delivering datasets and presenting dashboards. Today’s ABI platforms can deliver enriched contextualized insights, refocus attention on decision-making processes and ultimately take actions that will deliver business value. In addition to the increasing consumer design focus trend, we see other key market trends, including the need for improved governance of analytic content creation and dissemination, and the demand for a headless, open architecture. For example, a headless ABI platform would decouple the metrics store from the front-end presentation layer, enabling more interoperability with competitive products. ABI platform functionality includes the following 12 critical capabilities, which have been updated to reflect areas of market change, differentiation and customer demand: Gartner added three new critical capabilities as part of our metrics store evaluation criteria this year:  ABI platforms have always been about measurement. For decades, the slicing and dicing of measures by their dimensional attributes was synonymous with the act of performing business intelligence. However, over the last decade, the focus on metrics and measurement was overshadowed by data visualization. As data visualization became the most conspicuous capability, some business executives began to conflate ABI platforms with data visualization — as if ABI platforms are glorified chart wizards. This misconception minimizes much of the work performed and the business value delivered by ABI platforms. Establishing metrics stores as a critical capability to execute makes it clear that defining and communicating performance measures throughout an organization is one of the key purposes of an ABI platform. Analytics collaboration is a combination of many features (such as Slack/Teams integration, action frameworks) that collectively improve an organization’s ability to make decisions with consensus. Data science integration reflects the increasing likelihood that a business analyst may want to use data science to test certain hypotheses, and that data scientists will need to leverage features such as data prep and data visualization. In addition, Gartner is changing “catalogs” to “analytic catalogs” to emphasize a set of requirements that are not being met by ABI platform vendors today. Most large enterprises have thousands of reports built across multiple ABI platforms, but consumers in these organizations have no easy way to access these reports. The name change to analytic catalogs reflects the need for ABI platform vendors to deliver analytic content with the consumer in mind. Three critical capabilities were removed from our evaluation criteria: security, natural language generation (NLG; rolled into data storytelling) and cloud analytics (which will no longer be considered a platform capability, but instead a go-to-market strategy covered in the Magic Quadrant). And one of the security sub-criteria, about the granularity of authorization (e.g., row-based security) has been moved to the enterprise reporting capability. Salesforce (Tableau) Tableau, a Salesforce company, is a Leader in this Magic Quadrant. Its products are mainly focused on visual-based exploration that enables business users to access, prepare, analyze and present findings in their data. CRM Analytics, formerly Tableau CRM, provides augmented analytics capabilities for analysts and citizen data scientists. Tableau has global operations and serves clients of all sizes. In 2022, Tableau reinforced its augmented consumer vision to provide contextualized insights with deeper integration with Salesforce Data Cloud. IT also improved decision intelligence by bringing domain-aware insights into action with Revenue Intelligence and other Salesforce-native apps. The extensible design and x-platform integrations (Salesforce Flow, MuleSoft, UiPath and Looker) further enable composable analytics to bring insights into workflow with agility. Strengths Cautions 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

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June 10, 2021in Artificial Intelligence, Data, Enterprise, Google, Mulesoft, Salesforce, Salesforce Data Cloud, Salesforce Einstein, Salesforce Flow, Salesforce Managed Services, Technology
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