Bedrock Data’s Fusion Unifies Customer Data across Cloud Applications
Customers can eliminate manual data prep and create an automated pipeline of fused customer data to feed analytics, reporting, and BI tools.
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Bedrock Data has launched Fusion, a SaaS solution that dramatically reduces the time and cost of unifying customer data across cloud applications. The resulting Fused Database enables Customer 360 analytics, business intelligence, and real-time dashboards by eliminating the delays of data preparation.
According to Taylor Barstow, CEO and technical cofounder of Bedrock Data, “Data prep and ingestion are traditionally 80 percent of the time for an analytics project -- the tedious work required by analysts, operations, and IT professionals. Fusion takes that number down to zero by automatically connecting to application data sources and fusing customer data into one powerful source of truth.”
Using Fusion, organizations can replace manual data preparation with a Fused Database, a continuous pipeline of unified customer data to feed reports, dashboards, and BI tools such as Tableau, Microsoft PowerBI, Amazon QuickSight, YellowFin, and Metabase.
A 360-degree view of the customer has been typically impossible to achieve because of the complexity and time spent unifying data across different data sources. Each application has its own siloed data that makes it difficult to combine, based on the unique data structure of each application. Business analysts are forced to spend many hours piecing data together from multiple systems to answer urgent requests from executives on the next critical business question.
Fusion addresses these operational challenges by automating four previously disconnected steps:
- Connects: Fusion connects to your SaaS applications via their APIs using prebuilt connectors -- supported apps include Salesforce, NetSuite, Microsoft Dynamics, Marketo, HubSpot, ZenDesk, Freshdesk, HelpScout, Shopify, and many more.
- Fuses: Ensures all records are accurately deduplicated, matched, mapped, resolved, and normalized across your systems. Records across systems that represent the same identity are combined into a single, unified record -- resolving conflicts between the different data sets.
- Warehouses: Builds a MySQL database housing the unified Fused Database, with a standardized data schema of object relationships, greatly simplifying the task of multidimensional data queries.
- Feeds: Provides standard SQL keys to access the warehouse via reporting, dashboard, and analytics tools.
Bedrock Data is now running an early access program for Fusion where participants can become charter members with lifetime discounts and other perks. Sign up at BedrockData.com/Try.