CIO Business Intelligence

JANUARY 14, 2025

Understanding and tracking the right software delivery metrics is essential to inform strategic decisions that drive continuous improvement. When tied directly to strategic objectives, software delivery metrics become business enablers, not just technical KPIs. This alignment sets the stage for how we execute our transformation.

Enterprise 119

Enterprise Technology Metrics Measurement 119

CIO Business Intelligence

DECEMBER 10, 2024

Specify metrics that align with key business objectives Every department has operating metrics that are key to increasing revenue, improving customer satisfaction, and delivering other strategic objectives. Below are five examples of where to start. Gen AI holds the potential to facilitate that.

Sales 143

Sales Metrics Data-driven Measurement 143

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality?

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

JANUARY 14, 2025

How does our AI strategy support our business objectives, and how do we measure its value? Meanwhile, he says establishing how the organization will measure the value of its AI strategy ensures that it is poised to deliver impactful outcomes because, to create such measures, teams must name desired outcomes and the value they hope to get.

Strategy 141

Strategy ROI Experimentation Risk 141

O'Reilly on Data

MARCH 25, 2025

The coordination tax: LLM outputs are often evaluated by nontechnical stakeholders (legal, brand, support) not just for functionality, but for tone, appropriateness, and risk. Business value : Once we have a rubric for evaluating our systems, how do we tie our macro-level business value metrics to our micro-level LLM evaluations?

Testing 168

Testing Data-driven Software Measurement 168

O'Reilly on Data

JUNE 15, 2023

Should we risk loss of control of our civilization?” If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. Should we automate away all the jobs, including the fulfilling ones?

Metrics 359

Metrics Reporting Measurement Finance 359

CIO Business Intelligence

MARCH 25, 2025

CIOs perennially deal with technical debts risks, costs, and complexities. While the impacts of legacy systems can be quantified, technical debt is also often embedded in subtler ways across the IT ecosystem, making it hard to account for the full list of issues and risks.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

CIO Business Intelligence

JANUARY 23, 2024

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). He suggests, “Choose what you measure carefully to achieve the desired results.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

DataKitchen

NOVEMBER 5, 2024

Similarly, downstream business metrics in the Gold layer may appear skewed due to missing segments, which can impact high-stakes decisions. An operation to merge customer data across multiple sources might incorrectly aggregate records due to mismatched keys, leading to inflated or deflated metrics in the Silver layer.

Data Quality 195

Data Quality Testing Metrics Reporting 195

CIO Business Intelligence

SEPTEMBER 17, 2024

CISOs can only know the performance and maturity of their security program by actively measuring it themselves; after all, to measure is to know. However, CISOs aren’t typically measuring their security program proactively or methodically to understand their current security program.

Measurement 111

Measurement Metrics Risk Dashboards 111

datapine

NOVEMBER 15, 2022

1) What Are Product Metrics? 2) Types Of Product Metrics. 3) Product Metrics Examples You Can Use. 4) Product Metrics Framework. The right product performance metrics will give you invaluable insights into its health, strength and weaknesses, potential issues or bottlenecks, and let you improve it greatly.

Metrics 141

Metrics KPI Measurement Dashboards 141

CIO Business Intelligence

DECEMBER 20, 2023

This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner. Therefore, engineering leadership should measure software developer productivity, says Mann, but also understand how to do so effectively and be wary of pitfalls.

Measurement 124

Measurement Software IT Metrics 124

CIO Business Intelligence

APRIL 21, 2022

You might have heard that if you can’t measure you can’t manage. And if you think you need metrics to manage you might be feeling guilty about not having enough of them. Good metrics are hard to craft, harder to manage, expensive to maintain, and perishable besides. Bad metrics are worse than no metrics.

Metrics 105

Metrics IT Cost-Benefit Measurement 105

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? But wait, she asks you for your team metrics. Where is your metrics report? It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps. Forty-five metrics! Introduction. You’ve got a new boss. What should I track?

Metrics 130

Metrics Data Analytics Analytics Measurement 130

O'Reilly on Data

MARCH 31, 2020

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. And you, as the product manager, are caught between them.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

JANUARY 21, 2025

Deloittes State of Generative AI in the Enterprise reports nearly 70% have moved 30% or fewer of their gen AI experiments into production, and 41% of organizations have struggled to define and measure the impacts of their gen AI efforts. Why should CIOs bet on unifying their data and AI practices?

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

AUGUST 21, 2024

It wasn’t just a single measurement of particulates,” says Chris Mattmann, NASA JPL’s former chief technology and innovation officer. “It It was many measurements the agents collectively decided was either too many contaminants or not.” They also had extreme measurement sensitivity. Adding smarter AI also adds risk, of course.

Risk 136

Risk Insurance Cost-Benefit Software 136

CIO Business Intelligence

JANUARY 10, 2025

High expectations, but ROI challenges persist Despite significant investments, only 31% of organizations expect to measure generative AIs return on investment in the next six months. The dynamic nature of AI demands new ways to measure value beyond the limits of a conventional business case, Chase said.

ROI 81

ROI Enterprise Broadcasting Metrics 81

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, legacy infrastructure and manual workarounds introduce critical risks. The decisions you make, the strategies you implement and the growth of your organizations are all at risk if data quality is not addressed urgently. Manual entries also introduce significant risks.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

DataKitchen

MARCH 12, 2024

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Data errors can cause compliance risks.

Metrics 117

Metrics Software Cost-Benefit Testing 117

CIO Business Intelligence

JANUARY 21, 2025

These concerns emphasize the need to carefully balance the costs of GenAI against its potential benefits, a challenge closely tied to measuring ROI. Prioritize high-impact use cases: Identify projects with measurable benefits that can give quick wins. Focus on small-scale initiatives with clear objectives to demonstrate value early.

Cost-Benefit 98

Cost-Benefit ROI Measurement Strategy 98

CIO Business Intelligence

JANUARY 30, 2025

These changes can expose businesses to risks and vulnerabilities such as security breaches, data privacy issues and harm to the companys reputation. It also includes managing the risks, quality and accountability of AI systems and their outcomes. Essentially to match their IT goals with their business goals. AI governance.

Testing 93

Testing Metrics Cost-Benefit Modeling 93

CIO Business Intelligence

DECEMBER 9, 2024

Assuming a technology can capture these risks will fail like many knowledge management solutions did in the 90s by trying to achieve the impossible. Measuring AI ROI As the complexity of deploying AI within the enterprise becomes more apparent in 2025, concerns over ROI will also grow.

Enterprise 116

Enterprise Cost-Benefit ROI Measurement 116

O'Reilly on Data

JUNE 19, 2019

In a previous post , we noted some key attributes that distinguish a machine learning project: Unlike traditional software where the goal is to meet a functional specification, in ML the goal is to optimize a metric. A catalog of validation data sets and the accuracy measurements of stored models. Managing risk in machine learning”.

Modeling 249

Modeling Machine Learning Testing Metrics 249

DataKitchen

SEPTEMBER 20, 2021

Minimize Deployment Risk. Measurement DataOps. Once you’ve made progress with your production and development processes, it’s time to start measuring and improving your processes with Measurement DataOps. Productivity – Measure team productivity by the number of tests and analytics created.

Testing 246

Testing Metrics Measurement Dashboards 246

David Menninger's Analyst Perspectives

OCTOBER 9, 2024

One of the most important steps is to establish and track metrics that measure bias. These metrics should track and compare performance across various demographic groups over time. Predefined metrics will also help maintain accountability. Create the metrics necessary to track bias and other key metrics.

Metrics 147

Metrics Measurement Machine Learning Modeling 147

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where model debugging comes in. Sensitivity analysis. Residual analysis.

Machine Learning 276

Machine Learning Modeling Testing Risk Management 276

CIO Business Intelligence

MARCH 25, 2025

The problem: the complexity of interpreting the laws and deriving the necessary measures and requirements from them represents a significant hurdle for many companies. At the same time, meaningful dashboards should be developed based on the defined metrics to obtain funding and support targeted reporting to relevant committees.

IT 95

IT Key Performance Indicator Risk Reporting 95

O'Reilly on Data

MAY 14, 2020

In addition, the Research PM defines and measures the lifecycle of each research product that they support. data platform, metrics, ML/AI research, and applied ML). Lack of a specific role definition doesn’t prevent success, but it does introduce the risk that technical debt will accumulate as the business scales.

Management 364

Management Experimentation B2B Machine Learning 364

Domino Data Lab

MARCH 3, 2021

As you’re designing your problem statement and the initial hypotheses and assumptions related to the data you have available, start to interpret what indicators you can use to measure meaningful success. Leading Metrics Think of these as a good sign that the actions and activities you’re taking will lead to a positive outcome.

Metrics 93

Metrics Modeling Data Science Sales 93

CIO Business Intelligence

NOVEMBER 14, 2024

An innovation for CIOs: measuring IT with KPIs CIOs discuss sales targets with CEOs and the board, cementing the IT and business bond. But another even more innovative aspect is to not only make IT a driver of revenues, but also have it measure IT with business indicators.

ROI 119

ROI B2B Business Objectives Digital Transformation 119

datapine

AUGUST 12, 2020

In your daily business, many different aspects and ‘activities’ are constantly changing – sales trends and volume, marketing performance metrics, warehouse operational shifts, or inventory management changes. The next in our rundown of dynamic business reports examples comes in the form of our specialized SaaS metrics dashboard.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

CIO Business Intelligence

MARCH 19, 2025

Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

NOVEMBER 13, 2024

Managers tend to incentivize activity metrics and measure inputs versus outputs,” she adds. And we’re at risk of being burned out.” If there are tools that are vetted, safe, and don’t pose security risks, and I can play around with them at my discretion, and if it helps me do my job better — great,” Woolley says.

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

FEBRUARY 20, 2025

Solid reporting provides transparent, consistent and combined HR metrics essential for strategic planning, risk management and the management of HR measures. Companies should then monitor the measures and adjust them as necessary. To do this, the key figures should be linked and combined in a meaningful way.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

AWS Big Data

DECEMBER 7, 2023

In this post, we outline planning a POC to measure media effectiveness in a paid advertising campaign. We chose to start this series with media measurement because “Results & Measurement” was the top ranked use case for data collaboration by customers in a recent survey the AWS Clean Rooms team conducted. and CTV.Co

Measurement 105

Measurement Advertising Testing Data-driven 105

datapine

OCTOBER 21, 2021

Mitigate risks by constantly monitoring data: Modern monthly progress reports created with an online reporting tool provide a quick snapshot into a business’s most important performance indicators. Our first example is a monthly financial report tracking relevant metrics for a Chief Financial Officer (CFO). Monthly Financial Report.

Reporting 211

Reporting Dashboards Metrics Cost-Benefit 211