June, 2022 - gettectonic.com - Page 2
Druva - Salesforce Data Backup and Recovery

Druva – Salesforce Data Backup and Recovery

Introducing Druva: Your Comprehensive Salesforce Data Management Solution. Druva – Salesforce Data Backup and Recovery Druva presents a comprehensive data management solution tailored specifically for Salesforce users. By seamlessly integrating data protection, sandbox seeding, and archiving functionalities, Druva streamlines tedious tasks, ensuring enhanced data security, improved efficiency, and reduced ownership costs. Why Opt for Druva with Salesforce? Where Does Druva Store Backups? Druva securely backs up your data in the cloud hosted by Amazon Web Services (AWS), leveraging AWS’s robustness and stringent security standards to guarantee the safety and confidentiality of your backup data. Key Features of the Druva Platform: Explore Druva with a Free POC: Every Salesforce platform is unique, which is why Druva offers a free Proof of Concept (POC) allowing you to test against your data with full access to their support team, providing confidence in the platform’s capabilities. Druva’s Data Protection Platform: Druva’s Software-as-a-Service (SaaS) platform offers data protection across data centers, cloud applications, and endpoints. Securely backup and recover data with the scalability and simplicity of the public cloud, paying only for what you use, and enhance data governance with search and analytics capabilities to unlock the full potential of your data. FAQs: Druva offers a robust and secure solution for Salesforce data management, ensuring reliable backup, efficient recovery, and streamlined operations. With its user-friendly interface and advanced features, Druva empowers organizations to focus on their core objectives while ensuring the integrity and security of their critical data. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce Marketing Cloud Advertising Studio

Salesforce Advertising Studio Platforms

Are you looking to take your advertising and marketing campaigns to new heights? Look no further than Salesforce Advertising Studio. In this insight, we will provide an overview of Salesforce Advertising Studio and its crucial role in driving successful advertising and marketing endeavors. Engage prospects across every channel. Connect third-party webinar, survey, and SMS apps directly to your marketing programs. Trigger webinar and event registrations, survey sends, and SMS sends in your automated journeys. Connect engagement data, like third-party webinar, survey, and SMS data, for easy segmentation and campaign maintenance. One of the key advantages of Salesforce Advertising Studio is its seamless integration with other Salesforce platforms such as Customer 360 and Marketing Cloud. This integration allows businesses to harness the power of unified customer data, enabling highly personalized and targeted advertising campaigns. By leveraging the wealth of insights and information stored within Customer 360 and Marketing Cloud, advertisers can create more impactful and relevant messaging that resonates with their audience. An upscale solution of Salesforce Marketing Cloud (SFMC), Advertising Studio helps marketers digitize their efforts at scale and target the right audiences to reach business goals effectively. It allows you to create unique experiences for customers while displaying ads to your target audience. Leverage Salesforce Advertising Studio to effortlessly plan and execute advertising campaigns across multiple channels. This powerful tool provides marketers with efficient features for designing personalized ads, creating compelling content, scheduling campaigns, and automating processes. Furthermore, Advertising Studio smoothly integrates with popular advertising networks and platforms, such as Facebook, Google Ads, Instagram, and Twitter. Benefits Of Advertising Studio Marketing Cloud Advertising helps you engage and advertise to your customers and prospects. Use it to coordinate campaigns with social, mobile, sales, and customer service efforts and enhance your email marketing goals with advertising. You can engage with existing customers, find new prospects with lookalikes, and re-engage inactive users within the customer journey across digital advertising. NOTE: Salesforce Advertising Studio is now called Marketing Cloud Advertising. Use Marketing Cloud Advertising to: Marketing Cloud Advertising helps you target your digital advertising campaigns across various platforms with Advertising Audiences. These platforms include Facebook, Instagram, Google Ads, LinkedIn, X (Twitter), Pinterest, and Snapchat. Use Advertising Audiences to: You can also configure audiences to refresh automatically. If you discontinue your Ad Studio license, you must delete all audiences and authorized accounts. As a Marketing Cloud Advertising customer with a Marketing Cloud Intelligence license, you have access to deeper audience and campaign analytics with Audience Insights for Marketing Cloud Advertising. The application is available in the Marketing Cloud Intelligence Marketplace. Advertising Studio is now called Marketing Cloud Advertising. During this transition, you may see references to Advertising Studio. To empower your advertising with Marketing Cloud Advertising, contact Tectonic today. Content updated November 2023. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Guide to Creating a Working Sales Plan Creating a sales plan is a pivotal step in reaching your revenue objectives. To ensure its longevity and adaptability to Read more 50 Advantages of Salesforce Sales Cloud According to the Salesforce 2017 State of Service report, 85% of executives with service oversight identify customer service as a Read more

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Salesforce Marketing Cloud Journey Builder

Trigger a Journey by Event or Audience Segment

Trigger a personalized journey with events, or choose a specific audience. Trigger a Journey by Event or Audience Segment. Examples of events include: Examples of audiences include: The two clouds integrate through Marketing Cloud Connect (available on AppExchange). When it’s set up, you’re ready to go. The process and email creation is all handled in Journey Builder. The See Also links guide you to those steps. A few things to do and consider before you get started: Trigger a Journey by Event or Audience Segment When you create a Journey Builder email, a triggered send is created automatically. Activating the journey creates the triggered send definition that the journey’s email activity uses. When you create a journey version, the previous triggered send continues to run. Activating a new version defines a new triggered send. Also, you can stop the triggered send that is associated to a Journey Builder email activity. You can modify the email’s content, then restart the triggered send to re-enable sending within the journey. The triggered send name is a system-generated value and cannot be modified. If an external key is not provided at the time of creation, the system adds a key. Like Related Posts Salesforce Data Studio Data Studio Overview Salesforce Data Studio is Salesforce’s premier solution for audience discovery, data acquisition, and data provisioning, offering access Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Integration of Salesforce Sales Cloud to Google Analytics 360 Announced In November 2017, Google unveiled a groundbreaking partnership with Salesforce, outlining their commitment to develop innovative integrations between Google Analytics Read more Overlooked Costs of a Salesforce Implementation Let’s look at some frequently overlooked Salesforce costs. The goal is to provide businesses and decision-makers with a comprehensive understanding Read more

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Salesforce Marketing Cloud Journey Builder

Things to Keep in Mind When Mapping a Customer Journey

To begin mapping the customer journey, first develop the characteristics of your user personas. To start the process, answer some questions. You can then start asking some questions about the customer journey to detail the sequence of customers’ key activities on your site and other web properties. Where possible, seek input from your support, sales, and marketing teams. Trying to convince a prospect to become a customer without knowing where they are in the buying journey is like putting on a blindfold, throwing a dart, and hoping it hits the bullseye. Another way to think of the journey map is to picture the funnel it is directing customers through: These three steps generally make up most journeys: Awareness, Consideration, and Conversion. These customer journey stages are most suitable for offline purchases. With the progress of digital platforms, two critical additions appear in the customer experience: Retention and Advocacy. 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 Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Guide to Creating a Working Sales Plan Creating a sales plan is a pivotal step in reaching your revenue objectives. To ensure its longevity and adaptability to Read more CRM Cloud Salesforce What is a CRM Cloud Salesforce? Salesforce Service Cloud is a customer relationship management (CRM) platform for Salesforce clients to Read more

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Salesforce Data Model

Salesforce Data Model

The entity relationship diagrams (ERDs) featured in this insight elucidate significant connections among standard Salesforce objects, utilizing crow’s foot notation as part of Salesforce’s data modeling framework. The Salesforce Data Model shows the connection between fields, objects, and data. The Salesforce data model is essentially a composition of objects and fields. Data modeling involves structuring data using objects, fields, and relationships. In Salesforce, the database adopts a relational structure, storing data in tables referred to as Objects. These tables consist of columns representing types and rows denoting records, with entries named fields or data records. In Salesforce, objects play a pivotal role as they enable data storage, akin to tables in a database. Each object comprises multiple fields designed to house data effectively. Salesforce’s Data Model shows how each object relates to the others. The core architecture of Salesforce is characterized by a multi-tenant structure, where a common application serves multiple groups or clients. This architecture ensures the security and isolation of data for each client, even though they share the same server. Fields in the Salesforce data model are fundamental units of data storage, encompassing various types such as text, number, picklist, and date. These fields are utilized to store data specific to a particular object. For example, the Account object incorporates fields like Account Name, Account Number, and Phone. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce and LiveRamp Integration

Salesforce and LiveRamp Integration

Salesforce Marketing Cloud empowers you to maximize every customer interaction by providing tools to manage the customer journey across all channels. With Salesforce’s Customer Data Platform (CDP), you get a comprehensive view of each customer through unified profiles. This platform integrates data from the world’s #1 CRM, creating a single source of truth. Salesforce and LiveRamp Integration. Partnership with LiveRamp Salesforce Customer Data Platform users can leverage LiveRamp’s Distribution application to deliver their customer audiences to LiveRamp. This enables the orchestration of targeted, people-based advertising campaigns powered by RampID across 500+ publishers, including walled garden platforms. A walled garden platform, also known as a closed ecosystem or closed platform, is a software system that restricts access to content, applications, and media. The provider of the platform has complete control over what is shared, and users can only access what the provider allows. Walled gardens are often used in the marketing and tech industries, and can be used to improve cybersecurity by isolating users from external threats. Benefits for LiveRamp Customers: Key Features: Earlier this week, Dreamforce 2022 returned to San Francisco, where Salesforce introduced its new real-time data platform, Genie. LiveRamp was highlighted as a key partner in Genie’s launch, playing a crucial role in delivering highly personalized customer experiences by enriching and activating data across the advertising ecosystem. Salesforce users can now access LiveRamp technology through the LiveRamp Distribution App, available on the AppExchange. Marketers utilize platforms like Genie as their single source of truth to drive personalization. LiveRamp Distribution equips Salesforce customers with tools to build more accurate audiences powered by RampID, a people-based identifier. This integration allows direct access to over 500 platforms and partners for activation, enabling impactful, personalized, and relevant marketing programs across the ecosystem. All activations through LiveRamp ensure privacy by avoiding the sharing of hashed or raw directly identifiable personal data with any activation platform. “Customer data platforms are transforming the advertising ecosystem to be more customer-first. By providing a single, real-time view of the customer and centralizing customer knowledge, Salesforce Genie delivers unparalleled consistency and effectiveness across all customer touchpoints throughout the media ecosystem,” said Travis Clinger, SVP of Activations and Addressability, LiveRamp. According to Salesforce’s Fifth Edition of the State of the Connected Consumer report, 62% of respondents expect companies to anticipate their needs. However, data fragmentation across the ecosystem hinders this personalized customer experience. Brands require advanced segmentation and activation capabilities to successfully engage customers with the right message at the right moment on the right channel. Our partnership empowers marketers to take more control over their data, offering capabilities such as: Supporting CDPs with Activation To remain competitive and grow, businesses must find innovative ways to engage their customers and deliver personalized, relevant messages through preferred channels. The powerful combination of platforms like Genie and LiveRamp enables the transformation of personalized experiences and enhances the reach and accuracy of marketing programs while respecting consumer privacy. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Salesforce AI Propensity Scores

Salesforce AI Propensity Scores

AI-driven propensity scores take an existing data model and improve its predictions, speed, and analysis with AI. Salesforce AI Propensity Scores in CRM: In CRM, a propensity score is the model’s probabilistic estimate of a customer performing a specific action.  A propensity model is a mathematical formula that takes into account all of the known factors that are associated with conversion. The model then uses this information to estimate the likelihood that a given lead will convert to a customer. In super geeky terms, The propensity score is the probability of a unit (e.g., person, classroom, school) being assigned to a particular treatment given a set of observed covariates. How do you calculate propensity score? Propensity scores are generally calculated using one of two methods: a) Logistic regression or b) Classification and Regression Tree Analysis. a) Logistic regression: This is the most used method for estimating propensity scores. It is a model used to predict the probability that an event occurs. Why do we need propensity score? Propensity score analysis (PSA) arose as a way to achieve exchangeability between exposed and unexposed groups in observational studies without relying on traditional model building. Exchangeability is critical to our causal inference. Get Accurate Predictions by Defining the Target Variable Defining the target variable is crucial for accurate model predictions. Your model needs a primary focus for analysis and predictions. Scoring models uncover relationships between features and the target variable, providing insights on how to maximize or minimize this variable. For example, to predict the likelihood of opportunities converting into accounts, define a target variable that indicates this conversion. You can also apply custom logic to refine this target variable further. Make Informed Business Decisions Based on Historical Trends Generate predictions for specific periods to make informed business decisions and maximize revenue based on historical trends. For example, to determine which accounts sales representatives should focus on in the next 30 days, select a 30-day prediction duration. Then, use CRM Analytics datasets with historical data to identify revenue trends from accounts in the past 30 days. Effortlessly Build and Deploy Propensity Models Utilize the Scoring Framework to build and deploy generic propensity models for various industries without coding. Configure and deploy Einstein Discovery models through the AI Accelerator, which displays predictions and Einstein Next Best Action recommendations on record pages using the AI Accelerator—Einstein Predictions & Recommendations component. Scoring Framework Features AI Accelerator and Scoring Framework Integration Get real-time predictions across multiple industries by integrating AI Accelerator. Build generic propensity models without writing code using the Scoring Framework. Configure and deploy Einstein Discovery models, and showcase predictions and Next Best Action recommendations on record pages. AI Accelerator Functionality Salesforce Einstein’s Role Salesforce Einstein integrates robust AI technologies within the Lightning Platform, offering administrators and developers a comprehensive set of platform services to build smarter apps and customize AI for their businesses. Scoring Framework and CRM Analytics Use the Scoring Framework, based on CRM Analytics, to quickly build and deploy propensity models for various industries. Define template configurations, create CRM Analytics apps, and develop Einstein Discovery models and recipes effortlessly. Validating Input Features and Prediction Accuracy Train your model to validate input features and prediction accuracy. Then, deploy the model based on these predictions. Predictions Based on Standard or Custom Objects Build predictive models using standard or custom objects, enhancing business processes with smarter and more predictive capabilities. Making Business Decisions from Historical Trends Generate predictions based on historical trends to help make informed business decisions aimed at maximizing revenue. Enhancing Analysis with Additional Input Features Improve data analysis by incorporating features from CRM Analytics datasets along with object data. Focused Predictions with Defined Target Variables Improve prediction accuracy by defining the primary focus variable for your model. Customize input features to ensure valuable and accurate predictions for your use case. Targeted Predictions with Data Subsets Enhance prediction relevance by focusing on specific data subsets using filter conditions. Contextual Predictions by Storing in Records Store predictions in records to view them within the context of your use case, facilitating informed decision-making. Real-Time Predictions with AI Accelerator Integrate the Scoring Framework with AI Accelerator for real-time predictions, suggestions, and insights. Template Configuration and Data Requirements Ensure data requirements are met while configuring templates, confirming that there are enough records in the dataset. Quick Access to CRM Analytics and AI Accelerator Easily access CRM Analytics apps or AI Accelerator use cases by clicking the relevant button on the template configuration card. Handling Template Configuration and AI Accelerator Issues Retry template configuration activation or deactivation if unsuccessful. Similarly, retry creating or deleting AI Accelerator use cases as needed. Exploring New Metadata Types and Tooling API Objects Explore new metadata types and use the Tooling API to work with Scoring Framework setup objects, enhancing your capabilities within the Scoring Framework. Content updated April 2024. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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industry

Digital BSS

Digital BSS, which stands for Digital Business Support System, refers to a set of software solutions and platforms designed to enable and enhance the operational and business support capabilities of a telecommunications service provider. These systems play a crucial role in managing and monetizing telecommunications services in the digital era. Digital BSS solutions are part of the broader digital transformation initiatives undertaken by telecom companies to adapt to changing market dynamics and customer expectations. Key components and functionalities of Digital BSS include: Digital BSS Adoption The adoption of Digital BSS is driven by the need for telecom operators to stay competitive in a rapidly evolving digital landscape. It allows them to launch new services quickly, improve customer experience, and streamline their internal processes. The shift towards 5G, IoT, and other emerging technologies further emphasizes the importance of advanced BSS systems in the telecommunications industry. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more Alphabet Soup of Cloud Terminology As with any technology, the cloud brings its own alphabet soup of terms. This insight will hopefully help you navigate Read more

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pardot change its name

Pardot AddThis

Pardot AddThis, is an analytics tool for tracking the contents shared through any of the social media has been maintained in this tool. AddThis share buttons, targeting tools and content recommendations help you get more likes, shares and followers and keep them coming back. Pardot’s AddThis feature’s primary functionality for emails is to allow prospects to share your content through their own social media accounts (ex: Tweet a link to an online version of your email). However, the AddThis feature can be tweaked to add links to your company’s social media sites (Twitter, Facebook, LinkedIn pages). These social media images are the same icons that many companies like to include in emails to encourage their prospects or clients to follow them on various social media sites. For example, you could include a link to encourage your prospects to become a fan of your company’s Facebook page. Oracle has made the decision to discontinue the AddThis service effective May 31, 2023. Consequently, the Account Engagement AddThis connector will be removed, and the Add Social Media Button on emails will no longer be available, as it relied on the AddThis service. It will be helpful if Salesforce adds this Feature. Replacement options for Pardot AddThis include: Content updated June 2023. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Heroku and Go

Heroku and Go

Heroku makes it easy to deploy and scale Go apps. Whether you prefer frameworks like Negroni or Gin, or getting your hands dirty with the standard library, Heroku helps you build things your way with the tools you love. You use the CLI to manage and scale your applications, provision add-ons, view your application logs, and run your application locally. When you create an app, a git remote (called heroku) is also created and associated with your local git repository. Heroku generates a random name (in this case polar-inlet-4930) for your app, or you can pass a parameter to specify your own app name. Deploying and scaling Go apps on Heroku is a breeze. Whether you lean towards frameworks like Negroni or Gin, or prefer diving into the standard library, Heroku empowers you to build your way, using the tools you love. Manage and scale your applications effortlessly using the CLI. From provisioning add-ons to viewing application logs and running your app locally, using Heroku simplifies the process. When you create an app, Heroku automatically sets up a git remote called “heroku” associated with your local repository. Additionally, it generates a random name for your app, or you can specify your own. Heroku treats logs as streams of time-ordered events from all your app and Heroku components, providing a unified channel for all events. You can view log information using commands like heroku logs –tail. To explicitly declare how your app should be started, use a Procfile in the root directory of your application. This file specifies the command to be executed, such as web: go-getting-started. Scaling your app is simple. By default, your app runs on a single web dyno, but you can easily scale it up by specifying the number of dynos to run your web process type. Heroku recognizes that your app is a Go application by the presence of a go.mod file in the root directory, which specifies dependencies and build configurations. Running your app locally requires compiling it and ensuring it’s available on your $PATH. You can achieve this with go install -v . followed by heroku local. To propagate local changes, follow the standard Git workflow: add, commit, and push your changes. Heroku supports add-ons, which are third-party cloud services providing additional functionality for your app, from logging to monitoring. Configuration variables (config vars) store sensitive data and environment-specific information, accessible to your app at runtime. Heroku’s built in logging system aggregates events from all processes into Logplex, facilitating real-time monitoring and debugging. Heroku provides a comprehensive platform for developing, deploying, and running scalable applications, offering seamless integration with various tools and services. Manage and scale your applications effortlessly using the CLI. From provisioning add-ons to viewing application logs and running your app locally, Heroku simplifies the process. Scaling your app is simple. By default, your app runs on a single web dyno, but you can easily scale it up by specifying the number of dynos to run your web process type. Configuration variables (config vars) store sensitive data and environment-specific information, accessible to your app at runtime. In summary, Heroku provides a comprehensive platform for developing, deploying, and running scalable applications, offering seamless integration with various tools and services. Understanding How Heroku Works Heroku’s operational framework encapsulates the intricate process of developing, configuring, deploying, and running applications on its platform. Defining Applications Heroku facilitates the deployment, execution, and management of applications scripted in various computer languages including Ruby, Node.js, Java, Python, Clojure, Scala, Go, and PHP. An application encompasses the source code written in one of these languages, potentially accompanied by a framework, and a dependency description specifying the additional dependencies necessary for building and running the application. Understanding Execution Executing an application on Heroku typically requires minimal modifications. However, it’s necessary to inform the platform about the runnable components of the application. This can often be automatically inferred for established frameworks, while for others, explicit declaration is necessary through a text file called a Procfile. Each line in the Procfile designates a process type, defining a named command executable against the built application. Deployment Process Heroku primarily employs Git as the means for deploying applications, associating a new Git remote, usually named “heroku,” with the local Git repository upon application creation. Consequently, deploying code involves a familiar Git command: git push heroku main. Building Applications Upon receiving the application source, Heroku then initiates a build process tailored to the specific language. This typically involves retrieving specified dependencies and generating necessary assets, culminating in the creation of a “slug” – a bundled package containing the compiled, assembled application ready for execution. Running Applications on Dynos The program executes applications by running specified commands on “dynos” – isolated, virtualized Unix containers preloaded with the prepared slug. Dynos serve as the operational environment for the application, with the ability to scale dynamically based on demand. Configuring Applications Application configuration, encompassing environment-specific variables and credentials, is stored in config vars, accessible as environment variables at runtime. Changes to config vars necessitate the creation of a new release. Add-ons Integration Heroku allows the integration of add-ons, third-party services extending application functionality, seamlessly attached to the application. Add-ons play a crucial role in providing backing services such as databases, queueing systems, and storage. Monitoring and Logging Heroku’s built in logging system collates time-stamped events from all processes and components into Logplex, facilitating real-time monitoring and debugging. Dyno scaling and HTTP routing are crucial components of Heroku’s operational framework, ensuring efficient resource allocation and request handling. Summary The operational framework of Heroku encompasses the development, deployment, and runtime aspects of applications. From defining applications and executing processes to managing configurations and integrating add-ons, Heroku provides a robust platform for deploying and running scalable applications. 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

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Tableau vs Datorama

What is the Difference Between Datorama and Tableau?

In the current business environment, customer and prospect data serve as the driving force in most everything we do, emphasizing the importance of analyzing, understanding, and acting on accurate data for informed decision-making. Business Intelligence (BI) tools like Datorama and Tableau play an important role in facilitating these processes. This insight conducts a comparative analysis of Datorama vs. Tableau, covering features, capabilities, pricing, support, and training options. Tectonic’s goal is to assist businesses in making informed decisions aligned with their specific needs. If you are choosing between these two tools, contact Tectonic for assistance. Overview of Datorama: Datorama, a cloud-based BI platform, specializes in providing insights into data across a variety of marketing channels. Offering real-time analytics and pre-built connectors for various marketing platforms, Datorama serves as a comprehensive tool for marketing analytics. Its dashboard provides a centralized view of marketing data, automates real-time processing, and incorporates AI-powered insights generated by Salesforce Einstein. Overview of Tableau: Tableau, a widely used BI platform, facilitates easy data connection and visualization. With a user-friendly interface, it allows users to build interactive dashboards and visualizations without coding expertise. Tableau’s adaptability enables it to connect to various data sources, create interactive visualizations, offer data blending, and include forecasting capabilities. Key Features of Datorama and Tableau: Datorama Features: Tableau Features: Pricing Models: Datorama: Custom plans with varying costs based on specific business needs, starting at $3,000 USD per month. Tableau: Tiered plans with pricing ranging from $12 to $70 per user per month. Support and Training: Datorama: Knowledge base, community forums, training courses, and a certification program. Tableau: 24/7 support, online courses, and live training sessions. Choosing the Right BI Solution: Datorama: Suited for businesses with complex data integration needs, ideal for multi-channel marketing analytics and forecasting, offers advanced AI-powered insights. Tableau: Suited for businesses with data visualization and reporting needs, ideal for ad-hoc data analysis and dashboarding, offers powerful visualization capabilities. Benefits of Integration: Final Thoughts: Both Datorama and Tableau excel as BI tools, offering unique strengths. Datorama is tailored for marketing analytics with real-time insights, while Tableau provides versatility in connecting and visualizing data from various sources. Choosing the right solution depends on specific business needs, goals, and budget considerations. Contact Tectonic today for assistance. Like2 Related Posts Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce’s Quest for AI for the Masses The software engine, Optimus Prime (not to be confused with the Autobot leader), originated in a basement beneath a West Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Public Sector Salesforce Solutions Public Sector Solutions revolutionize public service delivery through flexible and secure e-government tools supporting both service providers and constituents. Designing Read more

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Marketing Cloud Intelligence

Salesforce Marketing Cloud Intelligence Explained

What is Marketing Cloud Intelligence? Salesforce’s Marketing Cloud Intelligence, formerly known as Datorama, is an analytics tool designed to integrate and visualize marketing performance data across various platforms. It caters to analytically driven marketers and seasoned analysts, providing an easy-to-use interface while offering connections to traditional BI tools like Tableau. Marketing efforts generate extensive data across multiple platforms, and Marketing Cloud Intelligence consolidates all these marketing tools into a centralized source. It serves as a comprehensive solution for reporting, measurement, and optimization. Market intelligence involves gathering real-time data from the market to understand customers, trends, behaviors, and more, enabling a company to stay competitive and meet market demands. By leveraging out-of-the-box connections, Marketing Cloud Intelligence seamlessly links platforms like Google, YouTube, Instagram, and others without the need for complex coding. The tool, now known as Marketing Cloud Intelligence, reveals trends, tracks progress against goals, and quantifies the ROI of marketing initiatives once connected. The system features a connected library of over 170 connectors for acquiring data from major advertising, commerce, CRM, and database vendors. The unique universal connector, powered by AI, allows effortless connection of any data stream within minutes, even from sources lacking an API connection. Marketing Cloud Intelligence addresses the challenge of data consistency by providing an out-of-the-box marketing data model. It helps organize data into a clear and consistent taxonomy, enriching it with naming conventions, data classification, and automated maintenance alerts for trustworthy decision-making. Beyond reporting and dashboards, Marketing Cloud Intelligence, with the assistance of Einstein, provides actionable insights. Marketers can select a KPI to improve and create a perpetual pipeline of AI insights, addressing overarching questions or specific areas like reducing spend or analyzing creative impacts. What can marketers do with Marketing Cloud Intelligence? Marketers can efficiently compile multiple sources of data in Marketing Cloud using various KPIs, creating at-a-glance and visually appealing dashboards and reports. Marketing Cloud Intelligence, powered by Datorama, facilitates the organization and analysis of diverse data within Marketing Cloud. What does Marketing Cloud Intelligence do? Marketing Cloud Intelligence integrates data from marketing and advertising platforms, web analytics, CRM, e-commerce, and more. It offers a unified view for optimizing campaign performance and real-time insights. The tool optimizes marketing spend and customer engagement with unified performance data, automated reporting, and AI-driven insights. Why is marketing intelligence important in Salesforce? Marketing intelligence tools help businesses gather and analyze market data. CRM and CDP tools, such as Salesforce Marketing Cloud Intelligence, unite data from disparate sources to provide a fuller picture of their customers and the marketplace. Like Related Posts Salesforce Artificial Intelligence Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust Read more Salesforce Data Studio Data Studio Overview Salesforce Data Studio is Salesforce’s premier solution for audience discovery, data acquisition, and data provisioning, offering access Read more How Travel Companies Are Using Big Data and Analytics In today’s hyper-competitive business world, travel and hospitality consumers have more choices than ever before. With hundreds of hotel chains Read more Integration of Salesforce Sales Cloud to Google Analytics 360 Announced In November 2017, Google unveiled a groundbreaking partnership with Salesforce, outlining their commitment to develop innovative integrations between Google Analytics Read more

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