Analyze your Close data with Power BI
Stitch is a no-maintenance pipeline for consolidating all your data (including Close) to modern analytics warehouses and storage platforms, powering rapid reporting in Power BI.
Integrate Close and Power BI with your data warehouse to turn your data into actionable insights.
Close is a sales communication platform.
Stitch offers detailed documentation on how to replicate all your Closedata to your central warehouse today.
Power BI is a cloud-based platform for creating and sharing real-time data visualizations. It features templates for popular data sources and drag-and-drop capabilities for building charts. Users can create reports, dashboards, and visualizations without having to rely on IT staff.Learn more about Power BI
From Close toGoogle Analytics,the tools that power your operations create incredibly valuable data—but it's locked up in silos. With Stitch as your data pipeline, you can break down those barriers in minutes.
Don't waste time extracting data from Close and sending it to Power BI manually Stitch easily connects to your data wherever it lives and automatically copies it to a central data warehouse: a single source of truth that holds insights from every corner of your organization.
From there, it’s easy to connect your warehouse to Power BI.See the Power BI Tutorial
Years ago, building a data infrastructure meant maintaining custom ETL scripts and loading data to expensive, on premises storage. Skip that. Stitch helps today’s most successful organizations leverage the power of the cloud to optimize their analytics.
See why 82% of businesses are prioritizing new technologies for analytics and business intelligence.
Stitch delivers your data to storage platforms purpose-built for fast data analysis.
Here’s a sample of the raw Close data that Stitch will replicate to your analytics warehouse:
The leads table contains information about the leads in your Close account. Attributes include the lead ID (id), status ID, status label, display name, name, addresses, URL, created by, organization ID, updated by, description, and created at and updated at dates. Our integration will also detect and load any custom fields you’ve created for leads.
The activities table contains information about the activities performed on a lead or its contacts. Attributes include the activity ID (id), type, user ID, user name, created/updated by, created/updated by name, organization ID, source, contact ID, lead ID, and date updated.
I was looking into ways of consolidating data from third-party SaaS tools we’re using in our operations, including Freshdesk, Chargebee, and Close, as well as our own internal data sources. I chose <stront>Stitch</strong?.
Stitch integrates with leading databases and SaaS products. No API maintenance, ever, while you maintain full control over replication behavior.
Amazon Aurora MySQL
Amazon Aurora PostgreSQL
Amazon RDS for MariaDB
Amazon RDS for MySQL
Amazon RDS for Oracle Database
Amazon RDS for PostgreSQL
Amazon RDS for SQL Server
Amazon S3 CSV
Google Analytics 360
Google Cloud SQL MySQL
Google Cloud SQL MySQL
Google Cloud SQL PostgreSQL
Google Search Console
Microsoft Advertising (Bing Ads)
Microsoft Azure SQL Server Database
Microsoft SQL Server
Netsuite Suite Analytics
Oracle Netsuite Bronto Marketing Platform
Salesforce Marketing Cloud