DataKitchen

NOVEMBER 5, 2024

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. Similarly, downstream business metrics in the Gold layer may appear skewed due to missing segments, which can impact high-stakes decisions.

Data Quality 195

Data Quality Testing Metrics Reporting 195

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

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 could involve adopting cloud computing, optimizing data center energy use, or implementing AI-powered energy management tools.

Metrics 124

Metrics Optimization Strategy Technology 124

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

Smart Data Collective

FEBRUARY 9, 2022

Luckily, there are a few analytics optimization strategies you can use to make life easy on your end. For instance, they display trend lines, pivot points, low volatility and other metrics in distinct colors. A powerful back-testing engine: It allows you to generate performance metrics for multiple stocks at the touch of a button.

Visualization 145

Visualization Optimization Analytics Testing 145

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

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

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

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

SEPTEMBER 15, 2023

From the CEO’s perspective, an optimized IT services portfolio maximizes cost efficiency, flexibility, and scalability. It enables the organization to focus on its core business while managing risks and accelerating time-to-market for new products and services.

Optimization 111

Optimization IT Metrics Marketing 111

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 Reporting 95

CIO Business Intelligence

NOVEMBER 13, 2024

The company has already rolled out a gen AI assistant and is also looking to use AI and LLMs to optimize every process. One is going through the big areas where we have operational services and look at every process to be optimized using artificial intelligence and large language models. And we’re at risk of being burned out.”

IT 141

IT Consulting ROI Cost-Benefit 141

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

JANUARY 21, 2025

Despite these setbacks and increased costs, Wei expressed optimism during the companys recent earnings call, assuring that the Arizona plant would meet the same quality standards as its facilities in Taiwan and forecasting a smooth production ramp-up. nm chips expected to be more prevalent next year.

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 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.

ROI 81

ROI Enterprise Broadcasting Metrics 81

AWS Big Data

OCTOBER 9, 2024

We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This sped up their need to optimize.

Optimization 123

Optimization Testing Data-driven Strategy 123

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

Credit: Future Enterprise Resiliency and Spending Survey, Wave 10, October 2024 (n = 70 IT C-level executives) While these rising budgets reflect optimism about GenAIs potential, they also create pressure to justify every dollar spent. million in 2025 to $7.45 million in 2026, covering infrastructure, models, applications, and services.

Cost-Benefit 98

Cost-Benefit ROI Measurement Strategy 98

Smart Data Collective

JULY 9, 2023

One benefit is that they can help with conversion rate optimization. Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

CIO Business Intelligence

APRIL 10, 2025

The goal is to give such leaders widespread visibility into planning, benchmarking, and optimization of their IT investments, according to the TBM Council. Energy use has become an important expense to monitor as well, along with more traditional IT costs and risk management.

ROI 100

ROI Optimization Risk Management Forecasting 100

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

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 249

Modeling Machine Learning Testing Metrics 249

CIO Business Intelligence

MAY 24, 2022

CloudOps is an operations practice for managing the delivery, optimization, and performance of IT services and workloads running in a cloud environment. At a governance layer, we can implement better budgeting and financial tracking and optimization. What is CloudOps? Effective CloudOps [helps] to mitigate this.

Optimization 111

Optimization Cost-Benefit Enterprise Machine Learning 111

Domino Data Lab

MARCH 3, 2021

Leading Metrics Think of these as a good sign that the actions and activities you’re taking will lead to a positive outcome. This gives us real metrics with which to identify the performance of models. How to create clear, concise metrics to set clearer expectations. Good metrics should comprise the following.

Metrics 93

Metrics Modeling Data Science Sales 93

datapine

OCTOBER 21, 2021

Extracting business insights based on factual data and not just simple intuition will lead companies to optimize several processes and ensure sustainable development. Our first example is a monthly financial report tracking relevant metrics for a Chief Financial Officer (CFO). Top 9 Monthly Report Templates & Examples.

Reporting 211

Reporting Dashboards Metrics Cost-Benefit 211

AWS Big Data

JUNE 27, 2023

Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format. In this post, we discuss how we built a solution using QuickSight that delivers real-time visibility of key metrics to public sector recruiters. We can pick what we need, and use what we need with pay-as-you-go pricing.

Metrics 98

Metrics Dashboards Interactive Visualization 98

O'Reilly on Data

MAY 14, 2020

Because they are building an AI product that will be consumed by the masses, it’s possible (perhaps even desirable) to optimize for rapid experimentation and iteration over accuracy—especially at the beginning of the product cycle. data platform, metrics, ML/AI research, and applied ML). Avinash Kaushik’s Web Analytics 2.0

Management 364

Management Experimentation B2B Machine Learning 364

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

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

Rocket-Powered Data Science

JULY 21, 2023

Here are four specific metrics from the report, highlighting the potentially huge enterprise system benefits coming from implementing Splunk’s observability and monitoring products and services: Four times as many leaders who implement observability strategies resolve unplanned downtime in just minutes, not hours or days.

Machine Learning 190

Machine Learning Metrics Internet of Things Reporting 190

AWS Big Data

NOVEMBER 6, 2024

This workload imbalance presents a challenge for customers seeking to optimize their resource utilization and stream processing efficiency. As a result, two workers ended up running at about 65% CPU utilization, allowing us to safely scaling down the compute capacity without any performance risk. and why it results in higher costs.

Cost-Benefit 108

Cost-Benefit Metadata Optimization Publishing 108

datapine

JANUARY 18, 2023

Businesses use this type of report to spot any issues and define their solutions, or to identify improvement opportunities to optimize their operational efficiency. Rather is the sales department, customer service, logistics, or finances, this specific report type help track and optimize performance on a deeper level.

Reporting 201

Reporting Metrics Dashboards Visualization 201

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 5, 2025

Top impacts of digital friction included: increased costs (41%)increased frustration while conducting work (34%) increased security risk (31%) decreased efficiency (30%) lack of data for quality decision-making (30%) are top impacts. But organizations within the energy industry are in an especially precarious situation.

Management 86

Management Data-driven Cost-Benefit Risk 86

datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Cloudera

OCTOBER 20, 2021

As part of these efforts, disclosure requirements will mandate that firms provide “the impact of a company’s activities on the environment and society, as well as the business and financial risks faced by a company due to its sustainability exposures.” What are the key climate risk measurements and impacts? They need to understand;

Risk 80

Risk Modeling Risk Management Measurement 80