datapine

FEBRUARY 14, 2021

That’s why it’s critical to monitor and optimize relevant supply chain metrics. Finally, we will show how to combine those metrics with the help of modern KPI software and create professional supply chain dashboards. Your Chance: Want to visualize & track supply chain metrics with ease? Cash-to-cash Time Cycle.

Metrics 260

Metrics KPI Dashboards Sales 260

datapine

OCTOBER 11, 2023

With the help of the right logistics analytics tools, warehouse managers can track powerful metrics and KPIs and extract trends and patterns to ensure everything is running at its maximum potential. It allows for informed decision-making and efficient risk mitigation. Making the use of warehousing metrics a huge competitive advantage.

Metrics 217

Metrics KPI Management Cost-Benefit 217

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. The data quality analysis metrics of complete and accurate data are imperative to this step. Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

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

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

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

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 Unstructured Data 143

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 357

Metrics Reporting Measurement Finance 357

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

JANUARY 14, 2025

Many CIOs have work to do here: According to a September 2024 IDC survey, 30% of CIOs acknowledged that they dont know what percentage of their AI proofs of concepts met target KPI metrics or were considered successful something that is likely to doom many AI projects or deem them just for show. What ROI will AI deliver?

Strategy 141

Strategy ROI Experimentation Risk 141

CIO Business Intelligence

AUGUST 21, 2024

Adding smarter AI also adds risk, of course. “At The big risk is you take the humans out of the loop when you let these into the wild.” Our goal is to analyze logs and metrics, connecting them with the source code to gain insights into code fixes, vulnerabilities, performance issues, and security concerns,” he says.

Risk 136

Risk Insurance Cost-Benefit Software 136

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 174

Testing Data-driven Software Measurement 174

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

DataKitchen

MARCH 16, 2023

But wait, she asks you for your team metrics. Where is your metrics report? What are the metrics that matter? Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

CIO Business Intelligence

DECEMBER 2, 2024

When you reframe the conversation this way, technical debt becomes a strategic business issue that directly impacts the value metrics the board cares about most. Business risk (liabilities): “Our legacy systems increase our cybersecurity exposure by 40%.”

ROI 136

ROI Cost-Benefit Metrics Strategy 136

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. AI governance is critical and should never be just a regulatory requirement.

Testing 93

Testing Metrics Cost-Benefit Modeling 93

CIO Business Intelligence

OCTOBER 10, 2024

Aligning IT operations with ESG metrics: CIOs need to ensure that technology systems are energy-efficient and contribute to reducing the company’s carbon footprint. This includes minimizing the risks associated with AI bias, guaranteeing transparency in AI decision-making and addressing energy consumption in blockchain networks.

Metrics 124

Metrics Optimization Strategy Technology 124

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

DataKitchen

MARCH 20, 2025

Every pipeline has embedded data quality tests, is version controlled, and is a sharable abstraction for the team to work within and deploy with low risk. Instead, their primary success metric is whether their processes run smoothly and without errors. Adding tables within an existing pipeline is manageable, posing minimal disruption.

Data Quality 161

Data Quality Testing Metrics Management 161

CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. In 2024, departments and teams experimented with gen AI tools tied to their workflows and operating metrics.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

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. 4] Fairwashing: The Risk of Rationalization , How Can We Fool LIME and SHAP?

Machine Learning 278

Machine Learning Modeling Testing Risk Management 278

CIO Business Intelligence

JANUARY 21, 2025

Delays at TSMCs Arizona plant could compel its customers to rely on Taiwan-based facilities, leaving them vulnerable to geopolitical risks tied to Taiwans dominance in semiconductor production. TSMC capacity is pretty much committed through 2025 already, so new technology delays are more relevant for the upcoming 2 nm and 1.6

Manufacturing 116

Manufacturing Cost-Benefit Recreation/Entertainment Technology 116

CIO Business Intelligence

JANUARY 10, 2025

As leaders work to define the right metrics, those measures must be tightly aligned with the business strategy and should account for the cost of not investing. As gen AI adoption accelerates, enterprises face a pivotal moment: embrace AIs potential to transform business or risk falling behind in a rapidly evolving digital economy.

ROI 81

ROI Enterprise Broadcasting Metrics 81

AWS Big Data

MARCH 25, 2025

This avoids the risk of infinite replication loops commonly associated with third-party or open source replication tools. This reduces the risk of data loss in case an unplanned failure occurs. Some important MSK Replicator metrics to monitor are ReplicationLatency , MessageLag , and ReplicatorThroughput.

Metrics 85

Metrics Testing Management Risk 85

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

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

CIO Business Intelligence

NOVEMBER 12, 2024

If your organization is ambivalent about any of these things, you’re at risk of a genAI ROI doom loop, in which people may try very little and quickly run out of ideas. Make ‘soft metrics’ matter Imagine an experienced manager with an “open door policy.” Each workflow is aimed at a problem or opportunity to be solved.

ROI 72

ROI Metrics Uncertainty Testing 72

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

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

MAY 14, 2020

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. is an excellent introduction to metrics and analytics. Avinash Kaushik’s Web Analytics 2.0

Management 364

Management Experimentation B2B Machine Learning 364

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. There needs to be a way to validate this against a given metric and validation set before deploying a model.

Modeling 235

Modeling Machine Learning Testing Metrics 235

CIO Business Intelligence

MARCH 25, 2025

At the same time, meaningful dashboards should be developed based on the defined metrics to obtain funding and support targeted reporting to relevant committees. Only in this way can risks be minimized and the highest compliance standards guaranteed.

IT 95

IT Key Performance Indicator Risk Cost-Benefit 95

datapine

SEPTEMBER 4, 2019

Organizations can also further utilize the data to define metrics and set goals. They track performance metrics against enterprise-wide strategic goals. Operational metrics dashboards usually end up in the hands of the subject matter experts. b) Customer service operational metrics dashboard. b) CMO strategic dashboard.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

CIO Business Intelligence

JANUARY 23, 2024

For example, McKinsey suggests five metrics for digital CEOs , including the financial return on digital investments, the percentage of leaders’ incentives linked to digital, and the percentage of the annual tech budget spent on bold digital initiatives. As a result, outcome-based metrics should be your guide.

Measurement 141

Measurement Digital Transformation KPI Metrics 141

CIO Business Intelligence

MARCH 19, 2025

Mark Brooks, who became CIO of Reinsurance Group of America in 2023, did just that, and restructured the technology organization to support the platform, redefined the programs success metrics, and proved to the board that IT is a good steward of the dollar. This can cause risk without a clear business case.

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

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

CIO Business Intelligence

SEPTEMBER 17, 2024

Rather, they rely on ad hoc inputs such as IT audits, pentest results, one-time security assessments, risk register analysis, and a general understanding of their program. Defining and describing the security risk appetite A security program does not have to achieve perfect security. In fact, achieving perfect security is impossible.

Measurement 111

Measurement Metrics Risk Dashboards 111