CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. One reason the role may be misunderstood, the report says, is because it’s relatively new.

Data Strategy 131

Data Strategy Data-driven Data Quality Strategy 131

CIO Business Intelligence

APRIL 28, 2022

auxmoney began as a peer-to-peer lender in 2007, with the mission of improving access to credit and promoting financial inclusion. Having disparate data sources housed in legacy systems can add further layers of complexity, causing issues around data integrity, data quality and data completeness.

Analytics 98

Analytics Insurance Big Data Uncertainty 98

Alation

JULY 15, 2022

Data as an Insight: Operational Improvement. The mandate: Financial services businesses must meet extensive regulatory requirements, which demand full governance including: Data ownership, definitions, agreed-upon data quality rules and results, and lineage (BCBS239, CCAR, etc.).

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Occam's Razor

AUGUST 22, 2011

Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. Delibrate Your Data, Dig Into Your Data, Reimagine Content Reporting. Podcast: Google, Evangelism, Data Privacy, Analytics, Yahoo! & 7 Best Practices.

KPI 124

KPI Metrics Measurement ROI 124

Grooper

AUGUST 19, 2019

Traditional data sources like end of month statements and quarterly reports are no longer enough. It includes the reports, charts, dashboards, and terminology unique to your organization. ISL helps today's business leaders understand how data answers business questions. Master data management. Data governance.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Domino Data Lab

FEBRUARY 4, 2019

To outline that caveat, I count four main points in the article describing necessary conditions which a successful organization must put into practice: Position data science as its own entity—make it its own department, reporting to the CEO. Lack of data, or data quality issues (silos). Yuri Burda, et al.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66