Build a data foundation your business can use

Data becomes valuable when teams can trust it, understand it and put it to work.

Megnity helps organizations use Databricks to bring enterprise data together and create a stronger foundation for analytics, AI and connected business processes.

Combined with Salesforce and Data 360, Databricks can help make enterprise data useful closer to where customer and business decisions happen.

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Databricks · Salesforce · Data 360 — analytics, AI and connected processes

Where to start

Start with what the business needs from its data

A data platform shouldn’t begin with moving every available dataset into one place.

We start by understanding the questions teams need to answer, the processes that depend on data and where the required information currently lives.

That helps determine what needs to be connected, prepared and made available.

Bring data together

Bring enterprise data together

Important information can sit across many enterprise systems.

Important information can sit across Salesforce, operational applications, databases and other enterprise systems.

We help bring relevant data into a Databricks environment where it can be prepared, governed and used across analytics and AI workloads.

The architecture is designed around the organization’s existing environment and business needs.

Salesforce
Operational applications
Databases
Other enterprise systems

Databricks environment

Brought together
Prepared and governed
Used across analytics and AI

Data quality

Create data teams can trust

Putting data in one platform doesn’t automatically make it reliable.

We help organizations prepare, transform and organize information so teams have a stronger foundation for reporting, analytics and AI.

Data quality, ownership, access and governance are considered as part of that work.

Explore data engineering and analytics

Databricks + Salesforce

Connect Databricks and Salesforce

Customer workflows in Salesforce often need context from information held elsewhere.

Customer workflows in Salesforce often need context from information held elsewhere in the organization.

We help connect Databricks with Salesforce and Data 360 so enterprise data can become useful within customer-facing processes.

This creates a bridge between the organization’s data environment and the teams working in Salesforce.

Explore Salesforce + Databricks

Bridge to the business

Salesforce

Other enterprise data sources

Data 360

Databricks

Zero-copy

Reduce unnecessary data movement

Moving and copying large amounts of data between platforms can create additional complexity.

Where the architecture and use case support it, zero-copy approaches can allow Salesforce and Databricks to work with relevant data without unnecessarily duplicating it.

We help determine where that approach fits and how it should work within the wider data architecture.

Where the approach fits · illustrative

Copying Data duplicated between platforms More pipelines, more copies, more to keep in step.

Zero-copy Relevant data worked with where it lives Used across Salesforce and Databricks without unnecessary duplication.

Foundation for AI

Create a stronger foundation for AI

AI needs access to useful, governed information.

Databricks can provide part of the data foundation behind AI agents and other AI-supported workflows.

We help connect the appropriate enterprise data with Agentforce, Claude and other AI capabilities based on the task being performed and the information required.

Explore AI agents

Data behind the agent

Governed enterprise data
Agentforce
Claude and other AI capabilities

Analytics

Turn data into useful analytics

Enterprise data becomes more valuable when people can understand and act on it.

We help connect Databricks with analytics capabilities such as Tableau so business teams can work with trusted information without needing to understand the engineering behind it.

Explore Tableau

Life Sciences

Build for Life Sciences data

Life Sciences organizations work with information across commercial, medical, clinical and operational environments.

We help design Databricks data solutions around those needs while considering appropriate access, governance, data quality and traceability.

The aim is to make data more useful without losing sight of how it needs to be controlled.

Explore Life Sciences

Integration

Connect Databricks with the wider enterprise

The data platform is one part of a larger technology environment.

C.01
Salesforce

Data supporting the teams working in customer-facing processes.

CRM
C.02
Enterprise applications

The business systems the organization already depends on.

Applications
C.03
APIs

Direct connections where they are the right pattern.

Integration
C.04
MuleSoft

Managed integration so data supports business workflows.

Integration

This allows data to support business workflows rather than remaining isolated inside the data platform.

Explore integration

How we deliver

From scattered data to a usable foundation

Understand

Identify the business questions, processes and data requirements.

Connect

Bring together the relevant enterprise data sources.

Prepare

Clean, transform and organize the information.

Govern

Define ownership, access and appropriate controls.

Analyze

Make trusted data available for reporting and analytics.

Activate

Connect data with Salesforce, AI and business workflows.

Improve

Continue evolving the data environment as business needs change.

Platforms

Databricks as part of the wider environment

Our Databricks work can bring together the platforms and sources the business already runs on.

The architecture depends on where your data lives and what the organization needs to do with it.

Databricks
Salesforce
Data 360
Agentforce
Claude
Tableau
MuleSoft
Enterprise applications and data sources

Where to begin

Have enterprise data that’s difficult to put to work?

Tell us where your data sits today and what your teams need from it.

We’ll help you understand how Databricks can become part of a more connected data, analytics and AI environment.