As enterprises make decisions on data from different sources, such as customer analytics, marketing campaign results and sales pipelines, they must connect and blend that data for a full picture. But when different users apply different methods to consolidate the same data, discrepancies arise. That can lead to different departments misunderstanding customer signals, inaccurately reporting financial results or reaching different conclusions on key performance indicators (KPIs).
With an automated process that cleans and unifies all company data into a single repository, users are assured that they’re all looking at the same data. They can then apply the same business rules to make calculations like KPIs and pipeline status.
The main benefits of creating and enforcing a single data source are:
- Data Governance – Enforce calculation rules before data is extracted, reducing the time needed to arrive at results and ensure everyone is working from the same data
- Transparency – State which calculations are used at every point throughout the workflow
- Efficiency – Enable users to find and extract their own data, thereby reducing the burden on data science and analytics teams
With Alteryx, you can:
- Create a Designer workflow that connects to multiple data sources like Snowflake, Salesforce and MongoDB, and maintain it with Data Connection Manager (DCM)
- Create a transparent process that blends data and applies business rules automatically
- Schedule an extract-transform-load (ETL) process that runs hourly to populate, consolidate and update your data repository
Data Sources Simplified Workflow
1 - Data Connection
2 - In-Database Capabilities
3 - Prep and Blend
4 - Update Scheduling