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Salesforce Data Cloud, at first referred to as Salesforce Data.com, is a powerful data-as-a-service platform offered by Salesforce, among the world’s major CRM software providers. Salesforce Data Cloud Implementation is intended to assist businesses in enriching, managing, and leveraging data in order to improve customer interactions, promote growth in the company, and streamline operations.
Companies can use Data Cloud to establish a unified view of each customer by linking data from email platforms, CRM systems, loyalty programs and many more sources.
A cloud-based technology called Salesforce Data Cloud assists businesses in managing client data on a large scale. Multiple data sources are ingested, customer records are matched, correctness is maintained by ongoing data quality checks, and the unified customer profiles are made accessible for marketing and analytics use cases. To preserve accuracy, it matches, cleanses, and enriches data. To maximize client interaction, Data Cloud also facilitates real-time segmentation and activation.
Data Cloud has the ability to connect data from numerous sources from email platforms, web/mobile applications, loyalty programs and other sources. Moreover, it can maintain precise customer profiles with regular data accuracy checks and can map customer profiles through different sources of data using probabilistic matching. The Data Cloud can use user behaviorto segment customers activate campaigns in real-time and construct cohesive customer profiles that include analytical features.
Features of Data Cloud
- Businesses can connect to Salesforce Data Cloud and import data from multiple sources, whether it is streaming real-time data or batch data. They can quickly establish connections with a variety of platforms, including MuleSoft, websites, mobile apps, Amazon S3, Google Cloud Storage, CRMs, and marketing clouds. The data can be ingested into the data cloud using the Data Streams tab.
- Client satisfaction scores and client lifetime value are two examples of insights that can be obtained from the unified profiles that are generated in the Data Cloud. To produce forecasts and suggestions, these profiles can also be simply connected with third-party business intelligence or artificial intelligence programs.
- To obtain a unified perspective of the data in the Data Cloud, it is imperative to organize and standardize the data. To do this, mappings between the customer 360 data model and associated data sources must be created. Custom data model objects are capable of being made if the standard data model is unable to fully satisfy the unique requirements of a business. The Data Lake Object/Data Stream Object tabs, which aid in mapping things together, can assist in speeding up the mapping process.
- Effective data organization enables firms to produce real-time insights that can initiate data activities, like updating lightning pages or triggering processes. Furthermore, the organizations may successfully develop segments to target particular people for advertising on other marketing channels.
- To create unified profiles, identity resolution is essential. Finding and linking diverse data records from multiple sources and entities is what it entails. Data quality is improved and redundant or contradicting data is removed as a result.
Improved customer experiences are made possible by data clouds across sectors, including Financial Services. Retail & Consumer Goods, Healthcare & Life Sciences, and Media & Communications.