erwin

JANUARY 10, 2024

Your goal should be enterprise data management and an analytics function that pays for itself, like a self-funding data warehouse, data lake or data mesh. What is data monetization? Mind you, this is not just about selling data. With time, the effort should be self-funding.

Measurement 59

Measurement Cost-Benefit Data Governance Management 59

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

Andrew White

JANUARY 11, 2021

See Roadmap for Data Literacy and Data-Driven Business Transformation: A Gartner Trend Insight Report and also The Future of Data and Analytics: Reengineering the Decision, 2025. measuring value, prioritizing (where to start), and data literacy? Data lakes don’t offer this nor should they.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

JANUARY 30, 2025

In 2025, data management is no longer a backend operation. This article dives into five key data management trends that are set to define 2025. For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance.

Management 113

Management Data-driven Data Governance Unstructured Data 113

CIO Business Intelligence

JANUARY 22, 2025

In 2025, IT leaders should invest in AI, but also focus on the cases where they can demonstrate measurable value, and then improve on those cases incrementally. You can have the best AI tool, but if your data is ingested from a bad source, youll have bad outcomes from AI. Where are we heading? How are we making money?

Technology 128

Technology Data Governance Risk Data Lake 128

CIO Business Intelligence

APRIL 23, 2025

In 2025, insurers face a data deluge driven by expanding third-party integrations and partnerships. Many still rely on legacy platforms , such as on-premises warehouses or siloed data systems. Step 3: Data governance Maintain data quality. This minimizes errors and keeps your data trustworthy.

Insurance 109

Insurance Digital Transformation Data Quality Data Lake 109

CIO Business Intelligence

MAY 14, 2025

According to Gartner , more than 80% of CEOs expect AI to contribute to top-line growth in 2025, whereas only 3% of CIOs expect the same. AI initiatives often need centralized data lakes, while domain-driven models emphasize decentralized ownership. Ive seen several critical EA inflection points (cloud, API-first, etc.),

Enterprise 115

Enterprise Data Architecture Data-driven Data Quality 115

CIO Business Intelligence

FEBRUARY 18, 2025

Start with data as an AI foundation Data quality is the first and most critical investment priority for any viable enterprise AI strategy. Data trust is simply not possible without data quality. A decision made with AI based on bad data is still the same bad decision without it.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90

BI-Survey

FEBRUARY 27, 2025

Advanced: Does it leverage AI/ML to enrich metadata by automatically linking glossary entries with data assets and performing semantic tagging? Leading-edge: Does it provide data quality or anomaly detection features to enrich metadata with quality metrics and insights, proactively identifying potential issues?

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52