enterprise data strategy

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.

Continuous Improvementdata maintenancedata quality

0 likes · 7 min read

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

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 governancedata lifecycle

0 likes · 7 min read

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

Architects Research Society

Nov 10, 2023 · Big Data

Enterprise Data Strategy Driven by Business Outcomes in the Zettabyte Era

The article explains how the explosive growth to the zettabyte scale reshapes enterprise data strategy, emphasizing business‑driven value, big‑data management practices, and integrated processes that turn massive data into actionable insights for competitive advantage.

Big DataDigital Transformationbusiness outcomes

0 likes · 9 min read

Enterprise Data Strategy Driven by Business Outcomes in the Zettabyte Era

Architects Research Society

Jan 7, 2023 · Big Data

Enterprise Data Strategy: Aligning Tactical Steps with Strategic Success

The article uses a dating analogy to illustrate how enterprise data strategy must combine clean, high‑quality data, governance, and analytics with clear tactical components to support strategic goals, drive market advantage, and enable reliable, mission‑focused outcomes in the experience economy.

Big DataExperience Economyanalytics

0 likes · 9 min read

Enterprise Data Strategy: Aligning Tactical Steps with Strategic Success

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.

CRUDGDPRdata governance

0 likes · 7 min read

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

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

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 governancedata lifecycle

0 likes · 9 min read

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

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.

Continuous Improvementdata governancedata maintenance

0 likes · 6 min read

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

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

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.

business outcomesdata governancedata quality

0 likes · 8 min read

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