CIO Business Intelligence

JANUARY 19, 2024

“It’s a key issue that needs attention, and a CIO can and should set the tone and practices for effective stakeholder management,” says Brett Tucker, an adjunct professor of cyber risk management at Carnegie Mellon University’s Heinz College. The following is a high-level guide to effective stakeholder management.

Management 115

Management Consulting Risk Strategy 115

CIO Business Intelligence

APRIL 13, 2023

Gartner projects that spending on information security and risk management products and services will grow 11.3% To better focus security spend, some chief information security officers (CISOs) are shifting their risk assessments from IT systems to the data, applications, and processes that keep the business going.

IT 111

IT Cost-Benefit Risk Consulting 111

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

DataRobot

JANUARY 18, 2022

The dictionary definition of zen is a state of meditative calm in which one uses direct, intuitive insights as a way of thinking and acting. The purpose of these checklists is to avoid complacency and to ensure conscious observation of risk management. AI governance should be proportionate to the risk. Start with the why.

Risk Management 52

Risk Management Risk Data-driven Metrics 52

Alation

AUGUST 17, 2022

If your definitions are bad, so is your governance/risk/security. Constellation Analyst Dion Hinchcliffe suggests that functions should be loosely integrated into the following streams: Governance, risk, compliance. Enterprise risk management. Data management. It’s not just an IT problem.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

IBM Big Data Hub

JULY 12, 2023

Here are some important definitions, best practices and strong examples to help you build contingency plans for whatever your business faces. Team members discuss possible risks, analyze the risk impact of each one and propose courses of action to increase their overall preparedness. What is a contingency plan?

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

Domino Data Lab

AUGUST 10, 2021

This can be done automatically using the Domino Model Monitor platform by specifying model accuracy metrics and then having the platform notify you if the model performs outside of those metrics. This comes down to model risk management. Modeling in Enterprise MLOps.

Modeling 64

Modeling IT Risk Management Deep Learning 64

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. It will include a clear mission statement and roadmap to Oracle adoption along with the project’s budget, staffing requirements, timeline and risk assessment.

Testing 72

Testing Consulting Digital Transformation Cost-Benefit 72

Corinium

APRIL 25, 2019

Yes, definitely! 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

O'Reilly on Data

OCTOBER 18, 2022

As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. applies external authoritative standards from laws, regulations, and AI risk management frameworks. The answer is simple—bad things and legal liabilities.

Risk Management 297

Risk Management Risk Testing Measurement 297

datapine

AUGUST 29, 2022

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. By using the right metrics, you can determine which products or services to focus on or build – and how to market them. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

FEBRUARY 4, 2019

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. The ability to measure results (risk-reducing evidence). Taking into consideration the works of McLuhan, Burke, Lanham, Laurel, Marenko, et al., Taking a pulse.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Alation

FEBRUARY 8, 2022

Users must be able to access data securely — e.g., through RBAC policy definition. Readers may notice these attributes echo other data management frameworks. The ‘ FAIR Guiding Principles for scientific data management and stewardship ’ is one such framework. These are valuable systems for enterprise risk management.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. That said, for business intelligence to succeed there needs to be at least a consensus on data definitions and business calculations. Pursue a phased approach. Rome wasn’t built in a day: neither will your BI.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. Before settling on a definition, let’s examine some of the popular definitions in use today.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). To prevent this, it can be useful to distinguish between data products and data definitions.

Management 77

Management Risk Measurement Optimization 77

Jet Global

NOVEMBER 16, 2022

A board report need not contain every progress review managers have done to evaluate the performance of employees. This being said, the overall progress of the company should most definitely be reviewed. management satisfaction. Compliance Risk Management. Give Your Metrics Context. employee satisfaction.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94