Introducing
Holistics 3.0
Business Intelligence is a complex field.
We spoke to a lot of companies and learn that despite the abundance of data tools in the market, a lot of them still struggle to get a proper analytics setup to work as they grow.
Some problems we commonly see:
- Having to integrate 3-4 different data tools together to get a proper analytics stack setup.
- Losing data context when these tools don't work well together
- Data accuracy: People arguing over same number, only to realized they define it differently
- Not knowing where to find certain report data, ended up coming back to BI team...
So we put our problem solving hat on and got to work. After 1 year of research and development, we're excited to share we're rolling out Holistics 3.0, a major upgrade to Holistics.
Holistics 3.0 is not an ETL replacement, nor a BI replacement. We think of it as an analytics management platform to align everyone in the organization around data, built with everyone in the organization in mind, from high-level C suites, to product managers, data analysts and scientists.
Now read more to see what's possible with Holistics 3.0!
Data Modeling
Predefine metrics and calculations, mapping the business logic and how they link to underlying physical data storage.
Data Wiki
A central data definition system to make sure everyone exactly understands what each metric means.
Data Workflow
Connects separated data components together, from raw sources all the way to eventual insights.
Data Exploration
Enable ability to analyze data without bothering technical analysts.
Data Modeling
Translating business logic to data logic
A real-time abstraction layer that holds single source-of-truth for all data logics of your organization.
Define metrics and dimensions centrally. Create reusable data components with native SQL.
See visual relationship diagrams between data components.
Data Catalog
Organize your company's analytics centrally
A centralized place for all different data definitions, from what a metric means in business context to how it's being calculated.
Find where each data is stored, who created them, when they're last updated... with advanced Catalog Search.
Prevent data knowledge to be locked in to only a few individuals.
Data Workflow
Visibility into entire data lineage
Get complete, unified and continuous high-level view of how your data flows from sources to insights.
Automatic dependency management between data models by looking at the model and report definitions.
No more digging around data pipeline to find out why a report number looks wrong, get notified and pinpoint exactly where when someone went wrong, and fix it with just a few clicks.
Data Exploration
Truly self-service analytics for everyone
Perform self service, drag-and-drop data exploration of data.
Slice-and-dice data metrics easily with simple point and click. Visualize data from existing pre-defined metrics.
Pivot table at scale, no more waiting for Excel to load millions of rows. Run complex JOINs without writing SQL queries.
Align everyone in your team
Holistics is the BI platform that aligns data analysts, data engineers and business users in a single platform.
Data Analysts
Get a single, centralized view to manage entire data operations. Build reusable data components and data modeling logic, build and run data-warehouse without knowing scripting language.
Data Engineers
Now you can focus on scaling your complex big data infrastructure. Never be bothered by data analysts or business teams with adhoc ETL script or data extraction requests anymore.
Business Teams
Perform truly self-service data exploration, slice-and-dice, drilling down different data metrics, all without waiting on the data teams.
Analytics Engineering
Applying software engineering best practices to Business Intelligence.
Reusable Data Components
Build data models that can be reused across different scenarios. Define metrics once, reuse everywhere.
Analytics As Code
Your entire data system can be serialized into code. Easily debug and troubleshoot when things go wrong.
Automated Data Testing
Writing data unit tests to make sure your data logic is correct at every step.
Abstract Data Layer
Holistics allow you to focus solely on the most important: the logical business data layer.
Data Documentation
Documenting entire organization's data knowledge into a centralized data wiki.
Version Control
Link your data project to Git, improve team collaboration and conflict resolution.
Dependency Management
Clearly see how data flow functionally from raw sources to insights via DAG-based workflow.
CI/CD
Incrementally develop and deploy data projects easily thanks to clear separation between staging and production data environment.
Analytics Refactoring
Easily refactor your data logic thanks to Holistics agile analytics development workflow.