CIO Business Intelligence

JUNE 12, 2023

In 2012, COBIT 5 was released and in 2013, the ISACA released an add-on to COBIT 5, which included more information for businesses regarding risk management and information governance. The ISACA announced an updated version of COBIT in 2018, ditching the version number and naming it COBIT 2019.

Risk Management 71

Risk Management Strategy Digital Transformation Enterprise 71

erwin

DECEMBER 20, 2018

Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. The driving factors behind data governance adoption vary. Data governance’s importance has become more widely understood.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Insight

FEBRUARY 19, 2020

My goal here is not to improve upon the current prediction algorithms but rather to describe a model I devised, called ReelRisk , that uses random resampling to generate a range of predictions which can then be used as a risk assessment tool to determine early on whether to fund a movie. ROI = Profit/Budget).

Risk 67

Risk ROI Modeling Metrics 67

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

FEBRUARY 4, 2019

This edition of the conference will be held May 23–24, 2019 in NYC, where we’ll focus on data science as a team sport: leadership , practices , how teams work. Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Andrew White

JANUARY 11, 2021

Value Management or monetization. Risk Management (most likely within context of governance). Product Management. measuring value, prioritizing (where to start), and data literacy? Saul Judah is our main person focusing on D&A risk management. Governance. Architecture. Great idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52