Data Product Maintenance
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Data Product
Maintenance

Reusable Data Assets That Scale

Move beyond expensive monolithic data warehouses to manageable, reusable data products for multiple use cases that keep organizations ahead of the curve.

70%
Faster Time-to-Value
5x
Data Reuse Rate
50%
Reduced Duplication
100+
Data Products Managed
Executive Summary

Why Data Products Matter

Traditional data warehouses become monolithic, hard to maintain, and slow to deliver value. Organizations with data product approaches see 70% faster time-to-insight and 5x higher data reuse.

ELMET helps you transition from project-based data delivery to product-based thinking—creating reusable, well-governed data assets that serve multiple use cases and evolve with your business.

Product Approach

Consumer-First

Governance

Built-In

Discoverability

Self-Service

Quality

SLA-Driven

The Challenge

Traditional Data Delivery Problems

Project-based data approaches create waste and slow down analytics adoption.

Duplicated Efforts

Same data pipelines rebuilt for each project, wasting resources and creating inconsistencies.

70% Redundancy

Poor Discoverability

Users can't find data that already exists, leading to shadow data and governance risks.

Data Dark Matter

Maintenance Burden

Without clear ownership, data pipelines decay and accumulate technical debt.

60% Unmaintained
Our Approach

Data Product Capabilities

Build, catalog, and maintain data products that deliver ongoing value.

Design

Data Product Design

Design data products with clear value propositions, consumer personas, and quality requirements. Define interfaces and contracts.

Discovery

Data Catalog & Marketplace

Implement discoverable data catalogs where users can find, understand, and request access to data products.

Governance

Data Product Governance

Establish ownership, quality SLAs, access policies, and lifecycle management for each data product.

Operations

Continuous Maintenance

Monitor data product health, usage, and quality. Automate maintenance and alert on degradation.

Lifecycle Management

Data Product Lifecycle

Manage data products from ideation through retirement with clear governance at each stage.

01

Ideate

Identify need, define value, assess feasibility.

02

Build

Design schema, build pipelines, document thoroughly.

03

Publish

Catalog, certify quality, enable access.

04

Operate

Monitor usage, maintain quality, support consumers.

05

Evolve

Improve based on feedback, version changes, deprecate.

Business Impact

Data Product Benefits

Measurable outcomes from data product approach.

Faster Delivery

Reduce time-to-value by reusing existing data products instead of building from scratch.

Higher Reuse

Increase data reuse rates 5x through discoverability and standardization.

Improved Quality

Enforce quality SLAs and ownership for consistent, trustworthy data.

Self-Service

Enable business users to find and access data without IT bottlenecks.

Better Governance

Clear ownership and lineage improve compliance and reduce risk.

Reduced Maintenance

Consolidate duplicates and automate health monitoring.

Ready to Build Your Data Products?

Let's discuss how ELMET can help you transform data management with data product thinking.

Schedule a Consultation