Topic

enterprise data strategy

Collection size
8 articles
Page 1 of 1
Architects Research Society
Architects Research Society
Nov 13, 2023 · Fundamentals

Why Ongoing Data Maintenance Is Crucial for an Outcome‑Driven Enterprise Data Strategy

The article explains why continuous, proactive data maintenance is essential for an outcome‑driven enterprise data strategy, outlines the risks of poor data quality, and provides practical steps—including business rules, service agreements, KPIs, and ownership—to establish an always‑on data‑maintenance process.

Governancecontinuous improvementdata maintenance
0 likes · 7 min read
Why Ongoing Data Maintenance Is Crucial for an Outcome‑Driven Enterprise Data Strategy
Architects Research Society
Architects Research Society
May 19, 2021 · Fundamentals

Why Ongoing Data Maintenance Is Critical for Outcome‑Driven Enterprise Data Strategy

Effective, proactive, and continuous data maintenance is essential for outcome‑driven enterprise data strategies, as poor data quality can cost millions, and organizations must define business rules, shared services, SLAs, processes, KPIs, and ownership to keep critical data accurate and reliable.

SLAbusiness rulesdata maintenance
0 likes · 7 min read
Why Ongoing Data Maintenance Is Critical for Outcome‑Driven Enterprise Data Strategy
Architects Research Society
Architects Research Society
Mar 11, 2021 · Fundamentals

Why Ongoing Data Maintenance Is Essential for an Outcome‑Driven Enterprise Data Strategy

The article explains that poor data quality can cost enterprises millions, outlines the components of a continuous data‑maintenance program—including business rules, shared services, SLAs, processes, KPIs and owners—and provides practical steps to build a proactive, automated maintenance workflow that keeps critical data accurate over time.

Data Governancecontinuous improvementdata maintenance
0 likes · 6 min read
Why Ongoing Data Maintenance Is Essential for an Outcome‑Driven Enterprise Data Strategy
Architects Research Society
Architects Research Society
May 28, 2020 · Fundamentals

Why Ongoing Data Maintenance Is Critical for an Outcome‑Driven Enterprise Data Strategy

The article explains why continuous, proactive data maintenance is essential for maintaining data quality, supporting business outcomes, and preventing data decay, and outlines the key components, success factors, and steps to implement an effective ongoing data maintenance program.

business outcomescontinuous datadata maintenance
0 likes · 9 min read
Why Ongoing Data Maintenance Is Critical for an Outcome‑Driven Enterprise Data Strategy
Architects Research Society
Architects Research Society
Nov 1, 2022 · Fundamentals

Why Data Lifecycle Processes Are Crucial for a Result‑Driven Enterprise Data Strategy

The article explains why establishing simple, automated, and well‑governed data lifecycle processes—including CRUD, quality standards, and regulatory compliance—is essential for a result‑driven enterprise data strategy and outlines practical steps for designing such processes.

CRUDData GovernanceGDPR
0 likes · 7 min read
Why Data Lifecycle Processes Are Crucial for a Result‑Driven Enterprise Data Strategy
Architects Research Society
Architects Research Society
May 26, 2020 · Big Data

Why Organization and Governance Are Critical for an Outcome‑Driven Enterprise Data Strategy

The article explains how strong organizational structures and governance practices are essential for building a reliable, outcome‑driven enterprise data strategy, covering data scope, roles, standards, metrics, cultural change, and practical steps for successful implementation.

Data Governancebusiness outcomesdata quality
0 likes · 8 min read
Why Organization and Governance Are Critical for an Outcome‑Driven Enterprise Data Strategy
Architects Research Society
Architects Research Society
Nov 12, 2023 · Fundamentals

Why Data Lifecycle Processes Are Crucial for an Outcome‑Driven Enterprise Data Strategy

The article explains how well‑designed data lifecycle processes—including simple, automated CRUD workflows and dedicated data stewards—are essential for managing growing data volumes, ensuring data quality, complying with regulations, and ultimately supporting outcome‑driven enterprise data strategies.

CRUDData GovernanceProcess Automation
0 likes · 7 min read
Why Data Lifecycle Processes Are Crucial for an Outcome‑Driven Enterprise Data Strategy
Architects Research Society
Architects Research Society
May 18, 2021 · Fundamentals

Why Data Lifecycle Processes Are Crucial for Result‑Driven Enterprise Data Strategy

The article explains how well‑designed, simple, and automated data lifecycle processes—including CRUD operations—are essential for managing growing data volumes, ensuring data quality, complying with regulations, and ultimately supporting a result‑driven enterprise data strategy.

CRUDData GovernanceProcess Automation
0 likes · 9 min read
Why Data Lifecycle Processes Are Crucial for Result‑Driven Enterprise Data Strategy