Big Objects in Salesforce

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Have you ever been in a situation where you need to store a gigantic amount of data in your Salesforce org? Are you tired of using third-party storage systems and writing web service calls to get the massive amount of data? Having to crunch those large numbers, though a reflection of your own success, can be troublesome and performance degrading. Salesforce has come to the rescue again by introducing big objects-which are objects with massive storage capabilities on the Salesforce platform itself. They provide consistent performance over a data set of the order of billions and are accessible through a standard set of APIs to your org or to an external system.

What exactly are Big Objects?

Big Objects are merely custom objects but with massive data handling capabilities. They can store at least billions of data in them. They are similar to custom objects in some ways but very different in others. The scale of data is what lets Big objects stand apart in the crowd.

Just like normal Salesforce objects, Big Objects are also standard as well as custom. An example of a standard big object is FieldHistoryArchive, which stores archived field history data for Field Auditing purposes. Custom big objects are created and deployed by you using the Metadata API.

When can you use a Big Object?

As a massive data store, Big Objects can be a great help in many cases. Some typical uses of Big Objects are as follows:

  1. Audits and Tracking purposes
  2. Better customer experiences
  3. Historical Data Archive

How to create a Big Object?

As gigantic of a task, it may seem at first, creating a big object is not that difficult. Obviously, you do not get an interface like that in a custom object, but the extra work is worth it.
There are mainly three files associated with creating a big object:

  1. Object
  2. Permission Set
  3. XML

As we know, All work but no play makes Jack a dull boy, let’s play around with creating a big object for ourselves. Let it be called Test Big Object.

  1. Object

This is a file with the .object extension and is named on the API name of the Big Object. It contains the fields and indexing details about the big object. The file contains data in XML format.
The Test_Big_Object__b.object file will look like this,
<?xml version=”1.0″ encoding=”UTF-8″?>
 <CustomObject xmlns=”http://soap.sforce.com/2006/04/metadata”>
<deploymentStatus>Deployed</deploymentStatus>
<fields>
<fullName>Test_Field_One__c</fullName>
 <label>Test Field One</label>
<required>false</required>
<type>Number</type>
<unique>false</unique>
 <precision>7</precision>
<scale>4</scale>
</fields>
<fields>
<fullName>Test_Field_Two__c</fullName>
<label>Test Field Two</label>
<length>16</length>
<required>false</required>
 <type>Text</type>
 <unique>false</unique>
</fields>
<indexes>
<fullName>Test_Big_Object_Index</fullName>
 <label>Test Big Object Index</label>
 <fields>
  <name>Test_Field_One__c</name>
<sortDirection>DESC</sortDirection>
 </fields>
</indexes>
<label>Test Big Object</label>
 <pluralLabel>Test Big Object</pluralLabel>
</CustomObject>

  1. Permission Set

This file contains the permissions on each field defined in the big object. This file is also in XML format but has the extension .permissionset.This file is not mandatory to include in your package, but you need it to give access to users since a big object permission is restricted by default.
The Test_Big_Object.permissionset will look like this,
<?xml version=”1.0″ encoding=”UTF-8″?>
<PermissionSet xmlns=”http://soap.sforce.com/2006/04/metadata”>

 <fieldPermissions>
 <editable>true</editable>
<field>Big_Object__b.Test_Field_One__c</field>
 <readable>true</readable>
</fieldPermissions>
<fieldPermissions>
<editable>true</editable>
<field>Big_Object__b.Test_Field_Two__c</field>
 <readable>true</readable>
</fieldPermissions>
<label>Test Big Object Permission Set</label>
</PermissionSet>

  1. Package.xml

This file is like any other package.xml file. It only specifies the contents of the package. The package.xml file for our Test Big Object will look like this,
<?xml version=”1.0″ encoding=”UTF-8″?>
<Package xmlns=”http://soap.sforce.com/2006/04/metadata”>
<types>
 <members>*</members>
 <name>CustomObject</name>
</types>
<types>
  <members>*</members>
 <name>PermissionSet</name>
 </types>
 <version>41.0</version>
</Package>

Now that we have all our files in place, there is a particular structure of the package that you need to follow. First, the package should be in zip format. The package should contain 2 folders- Objects and Permissionsets. The Test_Big_Object__b.object file goes into the objects folder while the Test_Big_Object.permissionset file goes in the permissionsets folder. The package.xml file will reside in the root folder itself.

You can deploy your big object package using Workbench. While deploying, select the Single Package Only checkbox and leave other options untouched. Choose your package and deploy it. Now, to check whether your big object has been created or not, go to Setup  Big Objects. Your big object will be listed there.
Viola! You just created your first big object.

How to query a Big Object?

Obviously, keeping all that massive data in your org would be a waste if you can’t process it. Well, you can. To query the data stored in a big object, you can use a standard SOQL query or Async SOQL.

Using SOQL to query big objects has a disadvantage of large waiting times if the returned data set is large. Hence, it is advisable to use standard SOQL only if the query will return a small data set. For returning large sets of data, we must use Async SOQL. Now as is evident from the name, Async SOQL runs asynchronously. It is a way to run SOQL queries in situations where you can’t wait for the results in real-time due to the massive data that is being queried.

Async SOQL features:

  • Highly scalable solution with the ability to process billions of data
  • Ability to run multiple queries in the background while continuously monitoring their status
  • Easy to use for someone coming from a SOQL background due to usage of a subset of SOQL commands

Limitations

As limitless as they may seem; just like every other feature present in Salesforce, Big Objects have their limitations.

  1. You can create up to 100 big objects in your org. Although, this can vary depending on the license you have.
  2. Given the large scale of data they operate on, you cannot use triggers, workflows, processes, and the Salesforce app with big objects.
  3. Well, no UI or pointing & clicking here. You can only create big objects through the Metadata API.
  4. For the creation of records, you must use Apex or bulk DML operations. No UI is present for record addition.

Process Builder: Salesforce Automation Tool for Unleashing Efficiency 

In our rapidly evolving world, precision and productivity are essential. Salesforce, a leading customer relationship management (CRM) platform, offers a suite of automation tools designed to streamline workflows and enhance productivity. Among these tools, Process Builder stands out for its versatility and user-friendly interface. This blog delves into the capabilities of Process Builder, highlighting its features, benefits, and best practices for maximizing its potential. 

What is Process Builder? 

Process Builder is a powerful automation tool within Salesforce that allows users to automate business processes using a simple point-and-click interface. Introduced as an upgrade to the traditional Workflow Rules, Process Builder provides more advanced capabilities, enabling users to create complex if/then statements and automate a broader range of tasks. 

Key Features of Process Builder 

  1. Visual Interface: Process Builder’s visual interface makes it accessible to users with varying technical expertise. The drag-and-drop functionality allows users to design processes intuitively, without needing to write code. 
  2. Multiple Criteria and Actions: Unlike Workflow Rules, which are limited to a single action per rule, Process Builder supports multiple criteria and actions within a single process. This means you can define complex workflows with various if/then scenarios, streamlining multi-step processes. 
  3. Record Updates and Creation: Process Builder can automate the creation and updating of records. For instance, it can automatically create a new task when a lead is converted or update the status of an opportunity when certain conditions are met. 
  4. Email Alerts: Users can configure Process Builder to send automated email alerts based on specific triggers. This ensures timely communication and helps keep all stakeholders informed. 
  5. Invoking Other Processes: Process Builder can invoke other processes or flows, providing a modular approach to automation. This feature is particularly useful for breaking down complex processes into manageable components. 
  6. Scheduled Actions: Process Builder allows users to schedule actions at a specific time. This can be useful for follow-up tasks, such as sending reminder emails or updating records after a certain period.
     

Benefits of Using Process Builder 

  1. Increased Efficiency: By automating repetitive tasks, Process Builder frees up valuable time for employees to focus on higher-value activities. This leads to increased productivity and overall business efficiency. 
  2. Error Reduction: Automation minimizes the risk of human error, ensuring that processes are executed consistently and accurately.  
  3. Improved Consistency: Process Builder ensures that business processes are carried out uniformly, adhering to predefined rules and criteria.  
  4. Scalability: As companies expand, their operations tend to become more intricate. Process Builder’s ability to handle multiple criteria and actions within a single process makes it a scalable solution for growing organizations. 
  5. Enhanced Visibility: With Process Builder, users can easily track and monitor automated processes. This visibility helps in identifying bottlenecks and optimizing workflows for better performance. 

Practical Applications of Process Builder 

    1. Lead Management: Automate lead assignment and follow-up tasks to ensure timely engagement. For example, when a new lead is created, Process Builder can automatically assign it to the appropriate sales representative and create a follow-up task. 
    2. Opportunity Management: Streamline opportunity management by automating updates and notifications. When an opportunity reaches a specific stage, Process Builder can update related records, send notifications to team members, and create tasks for the next steps. 
    3. Case Management: Enhance customer service by automating case escalations and follow-ups. Process Builder can route cases to the appropriate support tier based on predefined criteria and create tasks for follow-up actions. 
    4. Approval Processes: Simplify approval workflows by automating the routing of records for approval. For instance, when a discount request is submitted, Process Builder can automatically route it to the manager for approval and notify the requester of the decision. 

Apex: The Powerhouse of Salesforce Automation 

Salesforce, the world’s leading customer relationship management (CRM) platform, offers a multitude of tools to streamline business processes and enhance productivity. Among these, Apex stands out as the powerhouse of Salesforce automation.  

As Salesforce’s proprietary programming language, Apex provides unmatched flexibility and power, enabling developers to create sophisticated and customized automations that go beyond the capabilities of point-and-click tools like Flow Builder and Process Builder. In this blog, we will delve into what makes Apex an indispensable tool for Salesforce automation, its key features, benefits, and some practical use cases. 

What is Apex? 

Apex is an object-oriented programming language that allows developers to execute flow and transaction control statements on the Salesforce platform. It is designed to help developers add business logic to most system events, including button clicks, related record updates, and Visualforce pages.  

Key Features of Apex 

  1. Programming Language: Apex is strongly typed, which means it enforces strict rules about data types. This ensures data integrity and reduces runtime errors, making the code more reliable and easier to maintain. 
  2. Object-Oriented: As an object-oriented language, Apex supports classes, interfaces, and inheritance. This allows developers to create reusable code components and design robust applications following best practices in software development. 
  3. Tight Integration with Salesforce: Apex is natively integrated with the Salesforce platform, providing seamless access to Salesforce data and metadata. Developers can easily query and manipulate Salesforce records using SOQL (Salesforce Object Query Language) and DML (Data Manipulation Language). 
  4. Built-In Support for DML and SOQL: Apex includes native support for DML operations (insert, update, delete, and undelete) and SOQL queries. This tight integration simplifies data manipulation and retrieval, enabling developers to build complex business logic with ease. 
  5. Multi-Tenant Architecture: Apex is designed to run in a multi-tenant environment. Salesforce’s multi-tenant architecture ensures that all customers share the same infrastructure and resources, but their data is securely isolated. Apex enforces governor limits to ensure fair resource allocation and maintain system performance. 
  6. Triggers: Apex triggers allow developers to execute custom code before or after events on Salesforce records, such as insertions, updates, or deletions. Triggers are essential for enforcing business rules and automating complex workflows. 
  7. Batch Apex: Batch Apex enables the processing of large data volumes asynchronously. This is particularly useful for handling tasks that require significant processing time, such as data cleanups or complex calculations. 
  8. Scheduled Apex: Scheduled Apex allows developers to schedule Apex classes to run at specific times. This feature is ideal for automating routine tasks like data backups or sending periodic reports. 
  9. Test Classes: Apex includes robust support for creating and running unit tests. Salesforce requires that at least 75% of the Apex code is covered by tests before it can be deployed to production. This ensures that the code is reliable and free of critical bugs. 

Benefits of Using Apex 

  1. Advanced Customization: Apex allows for the creation of highly customized business logic that cannot be achieved with point-and-click tools alone.  
  2. Performance Optimization: Apex’s integration with Salesforce’s multi-tenant environment ensures optimal performance. Developers can write efficient code, maintaining system stability and performance. 
  3. Enhanced Automation: Apex enables automation of complex business scenarios with multiple conditions. This reduces manual effort, minimizes errors, and ensures consistency in operations. 
  4. Scalability: With features like Batch Apex, developers can build scalable solutions that handle large volumes of data and complex transactions, ensuring that the system can grow with the business. 
  5. Security: Apex runs in a multi-tenant environment with enforced governor limits, ensuring that the system remains secure and stable. Additionally, Salesforce’s robust security model ensures that data is protected, and access is controlled. 

Practical Use Cases for Apex 

  1. Custom Validation Rules: While Salesforce provides standard validation rules, there are scenarios where more complex logic is required. Apex triggers can be used to enforce custom validation rules that involve multiple objects or complex conditions. 
  2. Automated Lead Assignment: Businesses often have complex lead assignment rules based on various criteria such as geography, product interest, or lead source. Apex can be used to implement sophisticated lead assignment logic to ensure leads are routed to the right sales representatives. 
  3. Data Integration: Apex can be used to integrate Salesforce with external systems via Web services. This allows businesses to synchronize data between Salesforce and other applications, ensuring data consistency and enabling seamless workflows. 
  4. Batch Processing: Tasks that involve processing large datasets, such as updating records, data migration, or generating reports, can be efficiently handled using Batch Apex. This ensures that large volumes of data can be processed without impacting system performance. 
  5. Scheduled Tasks: Scheduled Apex can automate routine tasks like sending out monthly reports, updating data at regular intervals, or performing system maintenance activities, ensuring that these tasks are executed reliably and on time. 

Personalization with Salesforce's Einstein Next Best Action

In today’s fast-paced business environment, staying ahead of the competition requires not only efficient operations but also a deep understanding of customer needs. Salesforce, a leader in customer relationship management (CRM), continues to innovate with tools that empower businesses to achieve both. One such tool that has gained significant traction in recent years is Einstein Next Best Action (NBA).  

This powerful automation tool leverages artificial intelligence (AI) to provide personalized recommendations, guiding users to make data-driven decisions that enhance customer engagement and business efficiency. 

What is Einstein Next Best Action?

Einstein Next Best Action is a Salesforce feature that uses AI to deliver real-time recommendations to users within the platform. These recommendations, or “actions,” are based on a variety of data points, including customer interactions, past behaviours, and predefined business rules. By analysing this data, Einstein NBA suggests the most relevant and effective actions for users to take, whether it’s reaching out to a customer, offering a discount, or following up on a previous interaction. 

The beauty of Einstein Next Best Action lies in its ability to adapt to the unique needs of each business. Whether you’re in sales, service, or marketing, Einstein NBA can be tailored to provide insights that align with your specific objectives, making it a versatile tool for a wide range of industries. 

Key Features of Einstein Next Best Action 

Einstein Next Best Action is packed with features designed to optimize decision-making and enhance customer interactions.  

  1. AI-Powered Recommendations: At the core of Einstein NBA is its AI-driven recommendation engine. This engine analyses customer data in real-time, identifying patterns and predicting the actions that are most likely to yield positive outcomes. These recommendations are then presented to users in an easy-to-understand format, enabling them to make informed decisions quickly. 
  2. Contextual Relevance: Einstein NBA doesn’t just offer generic advice; it provides recommendations that are highly relevant to the current context of the customer interaction. Whether you’re responding to a support ticket, following up on a sales lead, or engaging with a marketing prospect, the tool ensures that the suggested actions are appropriate and timely. 
  3. Customization and Flexibility: One of the key strengths of Einstein NBA is its flexibility. Businesses can customize the recommendations based on their specific goals, rules, and processes. This ensures that the tool aligns with the unique needs of the organization and delivers value where it’s needed most. 
  4. Seamless Integration with Salesforce: Einstein NBA is fully integrated within the Salesforce ecosystem, meaning it can pull data from across the platform, including Sales Cloud, Service Cloud, Marketing Cloud, and more.  
  5. Actionable Insights: The recommendations provided by Einstein NBA are not just suggestions; they are actionable insights that users can implement directly within the platform. This streamlines workflows and eliminates the need for manual decision-making processes, saving time and reducing the potential for human error.

     

Benefits of Using Einstein Next Best Action 

The adoption of Einstein Next Best Action can bring a multitude of benefits to your business. 

  1. Enhanced Customer Engagement: By providing personalized recommendations, Einstein NBA helps businesses engage with customers more effectively. Whether it’s suggesting the right product at the right time or offering a timely discount, the tool enhances the customer experience, leading to higher satisfaction and loyalty. 
  2. Increased Efficiency: Automation is all about efficiency, and Einstein NBA excels in this area. By streamlining decision-making processes and reducing the need for manual intervention, the tool frees up valuable time for your team to focus on more strategic tasks. 
  3. Data-Driven Decisions: In today’s data-driven world, making decisions based on insights rather than intuition is crucial. Einstein NBA leverages the power of AI to analyse vast amounts of data, ensuring that the recommendations it provides are grounded in real-time, accurate information. 
  4. Improved Sales Performance: For sales teams, Einstein NBA can be a game-changer. By offering tailored recommendations for upselling, cross-selling, and follow-ups, the tool helps sales reps close deals more effectively and efficiently, ultimately boosting revenue. 
  5. Consistency Across the Organization: With Einstein NBA, businesses can ensure that their teams are following consistent processes and best practices. The tool standardizes decision-making across the organization, reducing variability and improving overall performance.
     

Getting Started with Einstein Next Best Action 

Implementing Einstein Next Best Action is a strategic move that can yield significant returns for your business. To get started, it’s important to first define your business objectives and understand how the tool can support them. From there, you can work with your Salesforce administrator or a certified Salesforce consultant to customize the tool to meet your specific needs. 

As you begin using Einstein NBA, it’s crucial to continuously monitor and refine the recommendations it provides. Regularly reviewing the tool’s performance will help you optimize its effectiveness and ensure that it continues to deliver value as your business evolves. 

Real-Life Example of Salesforce Automation: Random Case Study 

One real-life example of Salesforce automation in action comes from Random”, a company that designs and sells personalized sneakers. Random experienced significant domestic growth in their online retail business and decided to expand into international markets. To manage the increased complexity of launching in multiple markets, they needed to set up efficient processes within Salesforce, including automated discount applications based on unique regional criteria. 

The Challenge 

As the admin, John Doe, was creating sales processes for each international market. Each region had different criteria for discounts, which could be based on factors like customer demographics, order size, or seasonal promotions. Manually tracking and applying these discounts would have been a time-consuming and error-prone process. 

The sales team requested an automated system that would reduce manual work and ensure accuracy. John needed to find a way to automate the discount process so that discounts were applied seamlessly and only when the predefined criteria for each region were met. 

The Solution: Einstein Next Best Action and Flow 

To automate this process, John turned to Salesforce’s Einstein Next Best Action and Flow Builder tools. 

  • Einstein Next Best Action helped John by evaluating customer inputs in real-time and recommending when a discount should be applied based on specific criteria. 
  • Using Flow Builder, John created an automation that applied the correct discount once all conditions were met, without requiring any manual intervention from the sales team.

     

The flow John designed allowed her to automatically apply the discounts, update records, and send emails to confirm that the discount was granted—all in real time. This automation greatly reduced the risk of human error and sped up the checkout process. 

The Results 

By implementing this automated solution, Random was able to: 

  1. Save Time: The sales team no longer had to manually apply discounts or worry about keeping track of different regional criteria. 
  2. Enhance Accuracy: Discounts were applied only when all conditions were met, ensuring compliance with business rules and reducing errors. 
  3. Boost Sales Efficiency: The sales team could focus on expanding into new markets instead of being bogged down by administrative tasks.

     

Ultimately, this automation helped” Random successfully launch their international expansion while maintaining a smooth and efficient sales process. This case demonstrates how Salesforce automation can streamline operations, enhance accuracy, and enable businesses to scale effectively.

Conclusion 

Salesforce automation tools in 2024 continue to revolutionize business processes by streamlining operations, reducing manual effort, and enhancing efficiency. Whether it’s the versatile Flow Builder, user-friendly Process Builder, powerful Apex, or intelligent Einstein Next Best Action, these tools offer a comprehensive solution for automating complex workflows, improving accuracy, and driving business growth. By leveraging these tools, organizations can stay competitive in an ever-evolving market while focusing on strategic, value-added activities. Embracing Salesforce automation is not just about efficiency but about enabling innovation and scalability in a fast-paced business environment. 

Pranshu Goyal, Director of Products at Mirekta, states: “We envision DSM to be used by every small to a medium-sized organization dealing with bad data and want to get rid of duplicates easily with no cost. We have faced issues dealing with duplicates in our organization. That inspired us to make a solution that is not only simple to use but can be used widely to make the organization’s data clean to make them more efficient and productive. We want DSM to be a solution for every organization looking for duplicate management capability better than the Salesforce out-of-the-box solution with no additional cost.”

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