Maintainable
Make improvements or bug fixes in one place and propagate changes throughout all components.
Holistics Reusability
Analytics codes often fall short of software engineering standards. We’ve all seen it – sprawling SQL queries, duplicated logic across reports, and metrics that somehow give different results depending on who ran the query. It’s a maintenance nightmare waiting to happen.
Holistics Reusability is our solution to this problem, which is made up of a set of principles:
- Don’t Repeat Yourself: Just as you wouldn’t copy-paste the same function across your codebase, you shouldn’t have to rewrite the same metrics or charts for every report.
- Modular Design: You should be able to decompose complex analytics into simple components that are testable and reusable.
- Design for Emergence: You should design simple analytics logic that can be combined to enable interesting emergent use cases.
All of this has been a bit abstract. What does Holistics Reusability look like in practice?
Benefit of Holistics Reusability
Scalable
Handle growing analytics demands without exploding your analytics codebase.
Composable
Address novel business needs easily by composing existing analytics logic.
Consistent
Reduce data discrepancies with uniform metric definitions.
Easy-to-understand
Provide clarity for business users by reducing the number of datasets needed to address diverse needs.
Reliable
Data teams have the peace of mind that business-critical data processes are robust and reproducible.
Holistics Reusability Use Cases
Reuse charts to build new dashboards
Define reusable chart components to build similar dashboards without re-writing everything from scratch.
Reduce dashboard development time and increase ease of maintenance.
Ensure consistent metrics across your organization
Metrics can be defined once, extended and used across the organization to ensure analytics consistency.
No more contradicting results due to inconsistent metric definitions.
Create analytics products for new use cases on the fly
Define reusable dimensions and metrics that can be recombined to create new behaviors, simplifying ad-hoc analytics exploration and construction.
Dynamic data sources to serve multiple clients
Point charts to clients’ respective data sources dynamically to serve similar needs across multiple clients without duplications.
Who Benefits from Holistics Reusability?
Internal Analytics Teams Who Are Managing Complex Data
You find yourself writing a lot of repeated code for similar analytics logic, datasets, and charts across different categories, which makes it hard to maintain data consistency and usability for business users.
Client Reporting Services
Creating and maintaining multiple reports for multiple clients is costing a ton of effort. Individual clients require small changes which means duplicating the entire report.
Embedded Analytics Providers
Customizing your analytics products for each customer’s need is slowing down development. Having a different version for each customer prevents you from delivering improvements and bug fixes on a wider scale.
Customer Testimonials
With Holistics, our customers can easily define reusable data logic, reuse data models to reduce maintainace efforts, or reuse metrics and dashboards anytime, anywhere.
Interested in Holistics Reusability?
Streamlined analytics process. Reduced maintenance efforts.
It all starts with Holistics .