Best Data Management Software for Zoho Marketing Automation

Zoho Analytics (formerly Zoho Reports) provides powerful, actionable insights for your business. It is a self-service analytics and business intelligence software. Businesses can connect to any source and import data, analyze data through visual reports, dashboards, and securely share and collaborate on reports or dashboards with Zoho Analytics. The platform also integrates with top business apps.

Zoho Creator is an all-in-one low-code application development software that is designed to help businesses digitize their operations without the hassle of traditional development. More than 13,000 businesses with an excess of 7 million users around the world trust us to be their technology partner and you can also start your custom application journey today.

Online forms simplify data collection. Our integrated apps make it easy to create forms, share them online and receive instant alerts. You can also manage your data efficiently with our integrated apps. Zoho Forms will take care of everything while you focus on your business. You can create beautiful forms without knowing how to code. The form builder software is feature-rich and includes 40+ field types, customizable themes and situation-specific templates. It also has a simple interface that allows you to create functional forms that meet all your needs. Engage with your website visitors by embedding forms on their web pages. You can share links via social media and to a targeted audience through email campaigns. Your forms can be shared with a wider audience, or kept private within an organization. Send conditional emails to alert you when a new record is submitted. Attach attachments to keep everyone in the loop. Chat platforms that allow teams to work together instantly provide instant updates.

Integrate your data sources including relational and NoSQL database, SaaS and APIs. You can query them immediately as a single source of data. Process data wherever you are. Data from different sources can be merged, retrieved, and cached. Use webhooks for streaming data from Kafka or Segment into the Peaka Table. Real-time data access replaces nightly batch ingestion. Treat each data source as a relational database. Convert any API into a table and combine and join it with other data sources. Use familiar SQL to run queries on NoSQL databases. The same skills can be used to retrieve data from SQL and NoSQL database. You can query and filter your consolidated datasets to create new data sets. Use APIs to expose them and serve other apps or systems. Don't get bogged down with scripts and logs when setting up your data stack. Eliminate the burdens of managing and maintaining ETL pipelines.