IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. A retail company experiences a sudden surge in online sales due to a viral social media campaign.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

erwin

APRIL 29, 2020

For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. For example, the marketing department uses demographics and customer behavior to forecast sales. Data lineage offers proof that the data provided is reflected accurately. Data Governance.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 130

IT Risk Cost-Benefit Risk Management 130

FineReport

APRIL 9, 2024

Among the latest BI trends , advanced analytics and predictive modeling stand out as key focal points, enabling businesses to extract deeper insights from their data assets. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Alation

OCTOBER 26, 2021

In contrast, only 36% of organizations with a weak data culture can say the same. When an enterprise ignores or cannot use their data, they suffer the consequences. These include missing out on new revenue opportunities, poorly forecasting performance, and making bad investments. Start Today with the Alation Data Catalog.

Finance 52

Finance Data Transformation Enterprise Metrics 52

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

Andrew White

JANUARY 11, 2021

What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Governance. Value Management or monetization. Risk Management (most likely within context of governance). Product Management. See The Future of Data and Analytics: Reengineering the Decision, 2025.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52