How to build better Data Cloud implementations. Faster.

Data Cloud is the future

Data Cloud, now integrated into the Salesforce Platform as Einstein 1, represents the future of data management and analytics. Its power lies in its ability to seamlessly connect disparate data sources, harmonize the data, and make it accessible within the core platform. Whether data is copied into Data Cloud or remains in data lakes like Snowflake, Google, Microsoft, or AWS, organizations can leverage this unified data to drive actionable insights and make informed decisions.

Data Cloud is emerging as one of the critical technologies in the Salesforce ecosystem

Real world experiences

Plan, plan, plan

Data Cloud needs a clear use case with a strong return on investment (ROI) because it can be a complex cross-functional implementation combined with an innovative consumption pricing model. It is also very different compared with the core Salesforce platform because of the emphasis on detailed upfront planning before you start making changes. Salesforce recommends that 80% of the effort is on planning and 20% is implementation. You cannot start clicking buttons and have any hope of delivering anything. But once the planning is completed, building using the declarative UI is intuitive and easy to follow and will feel familiar.

Data Cloud is also significantly more complex and demanding technology to get your head around. You will do things much better and much faster if you spend the time planning.

Adrian King, Founder COO & CTO, Elements.cloud

Data Cloud Series: ebook

SalesforceBen Webinar

Adrian also joined a SalesforceBen webinar to talk about his experiences and best practices. He steps through the detailed planning and analysis work conducted by him and his team to be ready to implement Data Cloud.  He shows different documents they are building to understand and manage the implementation.  But these documents are the institutional knowledge of how Data Cloud is configured so they need to be maintained and built on as new use cases are implemented. 

Interrelated documentation

Managing the interconnected documents requires an application – a Change Intelligence Platform. Without it, you will be drowning in spreadsheets and diagrams. And you won’t have the information you need to make future change decisions as you implement the next use cases in Data Cloud or update the source systems.

Can you relate to this?

We’d love to hear about your Data Cloud aspirations and how we could help you get success more quickly.