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24Jul

Salesforce Data Migration

Salesforce Data Migration: A Key to CRM Success The migration of data into Salesforce is critical for the efficient functioning of Salesforce CRM. When executed correctly, it reduces data duplication, consolidates customer and operational data into a unified platform, and extends CRM capabilities beyond basic functionalities. Proper data migration serves as the foundation for advanced business intelligence and in-depth analytics. On the other hand, poorly managed migration can lead to transferring incorrect, duplicate, or corrupted data, compromising the system’s reliability. An efficient migration process safeguards data integrity, ensures a seamless transfer to Salesforce, and enhances overall organizational performance. What is Data Migration in Salesforce? Salesforce data migration is the process of transferring data from external systems, databases, or platforms into Salesforce. This process captures critical business information and integrates it into Salesforce’s CRM framework securely. The migration process also involves data cleansing, verification, and transforming data into formats compatible with Salesforce’s structure. Why You Need Salesforce Data Migration Importance Data migration is indispensable for companies looking to modernize their operations and enhance performance. With Salesforce, organizations can: Benefits Migrating Data from Legacy Systems to Salesforce Migrating data from legacy systems to Salesforce is essential for scalability and efficient data management. Key advantages include: Salesforce Data Migration Process Data migration involves transferring data into Salesforce to improve customer engagement and operational workflows. The process ensures data accuracy and compatibility with Salesforce’s architecture. Key Steps for Salesforce Data Migration Types of Salesforce Data Migration Top Salesforce Data Migration Tools Data Archiving in Salesforce Salesforce data archiving involves relocating unused or historical data to a separate storage area. This optimizes system performance and ensures easy access for compliance or analysis. Advantages Top Options for Data Archiving Best Practices for Salesforce Data Migration Conclusion Salesforce data migration is a pivotal step in transforming organizational processes and achieving CRM excellence. When done right, it improves efficiency, eliminates data duplication, and ensures accurate information storage. By following best practices, leveraging appropriate tools, and engaging migration specialists, organizations can unlock Salesforce’s full potential for scalability, automation, and advanced analytics. Successful migration paves the way for better decision-making and future growth. 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

July 24, 2024in Data

17Jul

Salesforce, Data Science, and Generative AI

Is Salesforce utilized in the field of data science? Salesforce data science and Generative AI Data Science-as-a-Service (DSaaS) democratizes access to machine learning through the Salesforce Data Management Platform, enabling widespread adoption of data science capabilities. Utilizing Salesforce for Data Science Empowerment: The integration of Salesforce into data science represents a transformative endeavor aimed at democratizing machine learning through Data Science-as-a-Service (DSaaS). By leveraging the Salesforce Data Management Platform, the objective is to empower individuals across various domains with the potential of data science. Democratization of Data Science: DSaaS introduces a versatile workbench that capitalizes on machine learning to refine segmentation, enhance activation strategies, and uncover deeper insights. Through robust analytics tools, users can gain profound insights into individual customer behaviors. Supported by a formidable 20-petabyte analytics environment and a real-time big data infrastructure, data-driven analytics are taken to unprecedented levels. Harnessing Modeling Resources: Data owners enjoy the flexibility to harness their data, algorithms, and models either within the Salesforce Data Management Platform or within their independent environments. Spearheading this initiative is the Salesforce Unified Intelligence Platform (UIP) team, constructing a centralized data intelligence platform aimed at enriching business insights, enhancing user experience, improving product quality, and optimizing operational efficiency, all while upholding the core value of trust embedded in the Salesforce platform. Salesforce Data Science and Generative AI Emphasizing Security and Design: Security stands as a cornerstone of the Salesforce platform, with the UIP’s evolution tracing back to a transition from a colossal Hadoop cluster to UIP in public clouds. The architectural journey prioritized data classification early on, engaging in meticulous reviews with legal and security experts to classify data intended for storage within UIP. Adopting the “zero-trust infrastructure” principle, the architecture is fortified against both internal and external threats, ensuring robust defense mechanisms against potential data breaches. Unlocking Data Science Potential through DSaaS: DSaaS serves as a catalyst in democratizing machine learning through the Salesforce Data Management Platform, spotlighting the pivotal role of data science in fostering generative AI and cultivating trustworthy AI. Data scientists play a critical role in ensuring data quality and organization to steer clear of issues such as biased or irrelevant outcomes. Navigating Data Science Challenges: Despite the transformative potential of data science, businesses encounter various challenges including managing diverse data sources, scarcity of skilled professionals, data privacy and security concerns, data cleansing complexities, and effectively communicating findings to non-technical stakeholders. Proposed Solutions: Addressing these challenges involves leveraging data integration tools, investing in the upskilling and reskilling of data professionals, implementing robust data privacy measures, employing data governance tools for data cleansing, and honing communication skills for reporting findings to non-technical stakeholders. The success of generative AI hinges on well-organized data, and data science is pivotal in achieving this. Whether utilizing AI tools built with the expertise of data scientists or building a data science team, businesses can navigate the evolving landscape of AI and data science with confidence. Content updated March 2024. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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

July 17, 2023in AI Tools, Data, Generative AI, Salesforce, Salesforce Einstein, Salesforce Sales Cloud

18May

Google Analytics and Salesforce Integration

Syncing Google Analytics Data to CRM Analytics To integrate Google Analytics and Salesforce Integration using the Google Analytics connector, follow these steps: Important Note: As of July 1, 2023, the main product Google Analytics has been decommissioned and replaced with the new product Google Analytics 4 (GA4). The Salesforce announcement GA4 Set to Replace Universal Analytics gives an overview on this. Creating a Connection Required Settings: Google Analytics 4 Integration To sync Google Analytics 4 data to Salesforce Data Pipelines: Connector Considerations: Google Analytics Salesforce Sales Cloud Integration User Identification Analytics provides two methods to identify users: Required Salesforce Sales Cloud Objects and Fields: Integration Steps: Testing and Viewing Imported Data: Notes: Google Data Studio and Salesforce Integration Connecting Salesforce with Google Data Studio allows for powerful visualizations that combine sales and marketing data. This integration helps in understanding which channels generate the most leads and income. Google Analytics 4 Connection Setup: Connection Details: Advanced Properties: Considerations: By following these steps, you can seamlessly integrate Google Analytics data into your CRM Analytics and Salesforce Data Pipelines, ensuring robust data analysis and informed decision-making. Decide How to Identify Your Users: Analytics offers two ways to programmatically identify your users: Client ID and User-ID. To support Data Import for Salesforce Sales Cloud, you must implement Client ID. You may optionally choose to also implement User-ID. Client ID pseudonymously identifies a browser instance and is best suited for businesses focused on lead generation and new customer acquisition. User-ID enables the analysis of groups of sessions, across devices, using a unique, persistent, and non-personally identifiable ID string representing a user. This option is best for businesses with high rates of logged-in users. How to Import CRM/ERP Data with Google Analytics 4 Using a CSV File: Transitioning to Google Analytics 4: As of March 2023, Google has automatically created GA4 properties for users unless they opt-out. Until July 1, 2023, you can continue to use and collect new data in your Universal Analytics properties. After this date, you must export your historical reports as Universal Analytics will be phased out. How Does Google Help Salesforce Marketing Cloud Users? Google Analytics provides invaluable insights into user behavior, helping Salesforce Marketing Cloud users optimize campaigns and understand customer journeys. Integration with the Google platform allows businesses to combine offline sales data with digital analytics, optimizing digital marketing strategies and improving campaign effectiveness. Additional Integration: Using datasets from Google Analytics and Google BigQuery, businesses can create interactive Tableau CRM dashboards to visualize campaign activities and performance metrics. By following these guidelines, organizations can leverage Google Analytics data effectively within their Salesforce ecosystem, enhancing decision-making and strategic planning. Content updated July 2024. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more 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

May 18, 2023in Google Analytics, Salesforce Marketing Cloud, Salesforce Sales Cloud

24Apr

Salesforce Objects and Fields

Salesforce objects and fields are analogous to database tables and the table columns. Objects and fields structure your data. For example, the central object in the Salesforce data model represents accounts—companies and organizations involved with your business, such as customers, partners, and competitors. The term “record” describes a particular occurrence of an object (such as a specific account like “IBM” or “United Airlines” that is represented by an Account object). A record is analogous to a row in a database table. Objects already created for you by Salesforce are called standard objects. Objects that you create in your organization with the user interface or with the Metadata API are called custom objects. Objects you create that map to data stored outside your organization are called external objects. While this insight describes all of the objects available in the API, your applications work with only the objects that you are authorized to access. Programmatic access to objects is determined by the objects defined in your organization, your organization configuration, your user permissions and access settings (which are configured by your organization’s Salesforce admin), your data sharing model, and other factors related specifically to the object. Most of the objects accessible through the API are read-write objects. However, there are a few objects that are read-only. This fact is noted in the description for the object. For details about the data types and size restrictions for each object’s fields, see the Salesforce Field Reference Guide. Resources: 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

April 24, 2019in Data, Enterprise, Salesforce

06Mar

Salesforce Core API Calls

Here’s a list of Salesforce core API calls for your handy reference. List of Salesforce Core API calls: Call Description convertLead() Converts a Lead into an Account, Contact, or (optionally) an Opportunity. create() Adds one or more new individual objects to your organization’s data. delete() Deletes one or more individual objects from your organization’s data. deleteByExample() Deletes objects from your organization’s data using an sObject as a template for what to delete. All data in a big object matching the values in the sObject templates are deleted. emptyRecycleBin() Delete records from the recycle bin immediately. executeListView() Executes a list view’s SOQL query to retrieve data, labels, and actions from a list view. findDuplicates() Performs rule-based searches for duplicate records. The input is an array of sObject, each of which specifies the values to search for and the type of object that supplies the duplicate rules. The output identifies the detected duplicates for each object that supplies the duplicate rules. findDuplicates() applies the rules to the values to do the search. The output identifies the detected duplicates for each sObject. findDuplicatesByIds() Performs rule-based searches for duplicate records. The input is an array of IDs, each of which specifies the records for which to search for duplicates. The output identifies the detected duplicates for each object that supplies the duplicate rules. findDuplicatesByIds() applies the rules to the record IDs to do the search. The output identifies the detected duplicates for each ID. getDeleted() Retrieves the IDs of individual objects of the specified object that have been deleted since the specified time. For information on IDs, see ID Field Type. getUpdated() Retrieves the IDs of individual objects of the specified object that have been updated since the specified time. For information on IDs, see ID Field Type. invalidateSessions() Ends one or more sessions specified by sessionId. login() Logs in to the login server and starts a client session. logout() Ends the session of the logged-in user. merge() Merges records of the same object type. performQuickActions() Executes quick actions of type create or update. process() Submits an array of approval process instances for approval, or processes an array of approval process instances to be approved, rejected, or removed. query() Executes a query against the specified object and returns data that matches the specified criteria. queryAll() Same as query(), but includes deleted and archived items. queryMore() Retrieves the next batch of objects from a query. retrieve() Retrieves one or more objects based on the specified object IDs. search() Executes a text search in your organization’s data. undelete() Undelete records identified with queryAll(). update() Updates one or more existing objects in your organization’s data. upsert() Creates objects and updates existing objects; matches on a custom field to determine the presence of existing objects. 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

March 6, 2019in Data, Salesforce, Salesforce Development Services

04Feb

Salesforce Custom Objects Explained

What are custom objects in Salesforce? These include accounts, cases, contacts, and opportunities—the kind of information that almost every organization is keeping tabs on in Salesforce. Custom objects go beyond what comes out of the box. They’re objects you create to handle the specific needs of your organization or industry. A custom object is an object that you can create yourself to store information specific to your organization. Custom objects can have their own fields, relationships, and logic, and can be customized to meet your specific business needs. What is an example of a custom object? The following are good examples of a custom object: A pet kennel wants to keep track of the pets they board, associate each pet with their owners, and keep track of activities related to each pet. They create a Pets object with Pet name as the primary display property and Pet type as a secondary property. Accounts, contacts, chatter, Leads etc. Custom Objects : Salesforce Custom objects are those which are created by the user. We can create any number of custom objects. Example :- Student info, college etc. What is the difference between standard Objects and custom objects in Salesforce? Standard objects, such as accounts, cases, contacts, and opportunities, are included with Salesforce by default. Custom objects are based on standard objects, extend standard functionality, and store information that is unique to an org. How many custom objects are there in Salesforce? There is a hard limit of 3,000 total custom objects per Organization, regardless of whether they’re created within the Org or installed from the AppExchange. For example, with Unlimited Edition, you could create 2,000 custom objects and install an additional 1,000 objects. How many fields can a custom object have? Custom objects have one or more fields that store data associated with a custom object record. There is a maximum of 1024 fields allowed for a single custom object. With Salesforce Essentials you get up to 100 custom fields per object. If you are looking to increase the limit, you would want to upgrade your Salesforce Edition. How many ways can you create a custom object in Salesforce? There are two versions of the Salesforce applications – Lightning and Classic. On both of these versions, there are two ways of creating custom objects and fields. The traditional and easiest way is through the salesforce object manager. Why do we create custom objects? You can map data from your business systems and third-party applications onto these standard objects. However, being limited to a small set of standard objects can make managing all your data cumbersome. Custom Objects enable you to model and manage your data in a way that reflects your unique business. How do I merge two custom Objects in Salesforce? Can you merge custom object records in Salesforce? No, you can’t really merge custom object records as there is no standard salesforce functionality for the same. You will have to build your own logic for this. How do I convert a custom object to a standard object in Salesforce? You cannot convert a custom object to a standard object in salesforce. However review below references which can help you. What is a big object vs custom object? Standard big objects are available out of the box and cannot be customized. Custom big objects – New objects that you create to store information unique to your org. Custom big objects extend the functionality that Lightning Platform provides. 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

February 4, 2019in Salesforce, Salesforce Implementation Services

25Oct

Big Object in Salesforce

What is a Salesforce Big Object? In the realm of Salesforce data management, alongside standard objects, custom objects, and external objects, Salesforce Big Objects play a crucial role when dealing with extensive datasets. These specialized objects are designed to efficiently handle and store billions of records while maintaining high performance levels. A Salesforce Big Object serves as a repository for massive volumes of data within the Salesforce platform. Organizations can use big objects to archive data from other objects or import vast datasets from external systems, providing a comprehensive view of customer information. Clients and external systems access big object data through a standard set of APIs. Regardless of whether an organization has 1 million, 100 million, or even 1 billion records, big objects consistently deliver robust performance, which is a defining feature of this data storage solution. What are the constraints associated with Salesforce Big Objects? There is a limit of up to 100 big objects that can be created within a Salesforce organization. The field limitations within big objects mirror those of custom objects and are dependent on the type of Salesforce license held by the organization. Transactions involving big objects, standard objects, and custom objects are not supported by the Big Objects feature. How many records can a Salesforce Big Object accommodate? Salesforce Big Objects excel in managing vast datasets within the Salesforce ecosystem without compromising performance. They reliably support up to billions of records and offer accessibility through standard APIs for seamless integration with Salesforce organizations and external systems. Custom big objects can be created using the Metadata API. Why do we use Salesforce Big Objects? Salesforce Big Objects provide an effective solution for storing and managing immense volumes of data, extending to billions of rows, on the Salesforce platform. They are particularly valuable for archiving Salesforce data or managing extensive datasets from external systems. Content updated August 2023. 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

October 25, 2018in Salesforce

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