CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Data-related decisions, processes, and controls subject to data governance must be auditable.

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

FEBRUARY 9, 2023

Technology and data architecture play a crucial role in enabling data governance and achieving these objectives. Focus and prioritize what you’re delivering to the business, determine what you need, deliver and measure results, refine, expand, and deliver against the next priority objectives. Don’t try to do everything at once!

Data Governance 76

Data Governance Business Objectives Data Quality Strategy 76

O'Reilly on Data

JUNE 18, 2019

As model building become easier, the problem of high-quality data becomes more evident than ever. Even with advances in building robust models, the reality is that noisy data and incomplete data remain the biggest hurdles to effective end-to-end solutions. Data integration and cleaning.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Data Wrangling and Feature Engineering.

Marketing 363

Marketing Experimentation Metrics Testing 363

Jet Global

AUGUST 23, 2021

Used primarily in a strategic context by corporate Finance Divisions and Boards of Directors, financial statements are key documents that must be prepared and produced with care. Manage data from diverse systems. Data quality is a central point for producing quality reports that can be used effectively in decision-making.

Finance 52

Finance Reporting Data Collection Data Quality 52

O'Reilly on Data

OCTOBER 22, 2020

The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. How I use it: I like to ask this as early as possible.

Consulting 303

Consulting Risk Cost-Benefit Modeling 303

IBM Big Data Hub

SEPTEMBER 11, 2023

How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. This strategy is not based on a “gut feel” or anecdotal knowledge of a few individuals, but on a well-documented, expansive set of findings, business analysis and calculated projections.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85