CIO Business Intelligence

FEBRUARY 13, 2024

IT leaders are drowning in metrics, with many finding themselves up to their KPIs in a seemingly bottomless pool of measurement tools. There are several important metrics that can be used to achieve IT success, says Jonathan Nikols, senior vice president of global enterprise sales for the Americas at Verizon.

Metrics 140

Metrics IT ROI Measurement 140

datapine

AUGUST 14, 2020

Companies, organizations, enterprises, large, or small businesses – no matter in which category you belong to, you need to pay close attention to your customers. A customer retention dashboard is a visual tool used to track key customer-centric metrics such as retention rate, churn rates, MRR growth, and the number of loyal customers.

Dashboards 176

Dashboards Metrics B2B Visualization 176

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

CIO Business Intelligence

JANUARY 14, 2025

The 2024 Enterprise AI Readiness Radar report from Infosys , a digital services and consulting firm, found that only 2% of companies were fully prepared to implement AI at scale and that, despite the hype , AI is three to five years away from becoming a reality for most firms. Is our AI strategy enterprise-wide?

Strategy 141

Strategy ROI Experimentation Risk 141

CIO Business Intelligence

MARCH 25, 2025

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

DataKitchen

JANUARY 20, 2021

As DataOps activity takes root within an enterprise, managers face the question of whether to build centralized or decentralized DataOps capabilities. Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Central DataOps process measurement function with reports.

Metrics 243

Metrics Experimentation Measurement Testing 243

CIO Business Intelligence

DECEMBER 20, 2023

Most enterprises are committed to a digital strategy and looking for ways to improve the productivity of their workforce. This has spurred interest around understanding and measuring developer productivity, says Keith Mann, senior director, analyst, at Gartner.

Measurement 124

Measurement Software IT Metrics 124

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. In a medium to large enterprise, many steps have to happen correctly to deliver perfect analytic insights. Data sources must deliver error-free data on time. For example: .

Testing 246

Testing Metrics Measurement Dashboards 246

O'Reilly on Data

MAY 14, 2020

In addition, the Research PM defines and measures the lifecycle of each research product that they support. However, it may not be easy to access or contextualize this data, especially in enterprises. Finally, integrating AI products into business tech stacks (especially in enterprises) is nontrivial.

Management 364

Management Experimentation B2B Machine Learning 364

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

The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies. For enterprise products , requirements often come from a small number of vocal customers with large accounts.

Management 363

Management Machine Learning Experimentation Metrics 363

CIO Business Intelligence

JANUARY 21, 2025

We may look back at 2024 as the year when LLMs became mainstream, every enterprise SaaS added copilot or virtual assistant capabilities, and many organizations got their first taste of agentic AI. AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

datapine

AUGUST 26, 2020

Here, we explore enterprise dashboards in more detail, looking at the benefits of corporate dashboard software as well as a mix of real industry examples. Let’s kick things off by considering what a company dashboard is — or, in other words, provide an enterprise dashboard definition. Enterprise Dashboards Examples.

Dashboards 168

Dashboards Enterprise Visualization Data-driven 168

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. Key recommendations include investing in AI-powered cleansing tools and adopting federated governance models that empower domains while ensuring enterprise alignment. Compliance-heavy environments, enterprise reporting.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

David Menninger's Analyst Perspectives

OCTOBER 9, 2024

Unfortunately, we expect that through 2026, model governance will remain a significant concern for more than one-half of enterprises, limiting the deployment, and therefore the realized value of AI and machine learning (ML) models. Enterprises need to take steps to detect and prevent bias.

Metrics 147

Metrics Measurement Machine Learning Modeling 147

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.

Modeling 257

Modeling Machine Learning Testing Metrics 257

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. million in 2025 to $7.45 million in 2025 to $7.45

Cost-Benefit 98

Cost-Benefit ROI Measurement Strategy 98

DataKitchen

APRIL 26, 2021

In early April 2021, DataKItchen sat down with Jonathan Hodges, VP Data Management & Analytics, at Workiva ; Chuck Smith, VP of R&D Data Strategy at GlaxoSmithKline (GSK) ; and Chris Bergh, CEO and Head Chef at DataKitchen, to find out about their enterprise DataOps transformation journey, including key successes and lessons learned.

Measurement 246

Measurement Metrics Data-driven Dashboards 246

DataKitchen

FEBRUARY 1, 2021

Each of these improvements can be measured and iterated upon. . User feedback may feel concrete to users, but as a data professional, you will have to translate these requirements into metrics. Try measuring your errors per week. Measure how fast teams can respond to errors and requests.

Business Objectives 245

Business Objectives Cost-Benefit Measurement Metrics 245

O'Reilly on Data

NOVEMBER 19, 2024

While RAG leverages nearest neighbor metrics based on the relative similarity of texts, graphs allow for better recall of less intuitive connections. presented the TRACE framework for measuring results, which showed how GraphRAG achieves an average performance improvement of up to 14.03%.

Unstructured Data 312

Unstructured Data Structured Data Statistics Modeling 312

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Guan believes that having the ability to harness data is non-negotiable in today’s business environment.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

CIO Business Intelligence

NOVEMBER 14, 2024

The rise of the cloud continues Global enterprise spend on cloud infrastructure and storage products for cloud deployments grew nearly 40% year-over-year in Q1 of 2024 to $33 billion, according to IDC estimates. Profound changes, after all, require accompanying change management across the enterprise.

ROI 119

ROI B2B Business Objectives Digital Transformation 119

O'Reilly on Data

OCTOBER 13, 2020

Ideally, AI PMs would steer development teams to incorporate I/O validation into the initial build of the production system, along with the instrumentation needed to monitor model accuracy and other technical performance metrics. Nearly every ML/AI library touts full end-to-end capabilities, from enterprise-ready stacks (such as H20.ai

Management 308

Management Machine Learning Metrics Modeling 308

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. 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.

IT 59

IT Data Governance Data-driven Metrics 59

IBM Big Data Hub

MARCH 14, 2024

One key advantage of opting for managed Kafka services is the delegation of responsibility for broker and operational metrics, allowing users to focus solely on metrics specific to applications. With Kafka, monitoring typically involves various metrics that are related to topics, partitions, brokers and consumer groups.

Metrics 83

Metrics Measurement Optimization Management 83

CIO Business Intelligence

JULY 22, 2024

Enterprises should use ethical frameworks to ensure that AI applications undergo rigorous testing and validation before being deployed in order to safeguard patient safety and data privacy. Leaders should also set measurable goals for what the AI implementation aims to achieve to better understand its outcomes.

Enterprise 126

Enterprise Testing Predictive Analytics Metrics 126

CIO Business Intelligence

DECEMBER 18, 2024

Resilience frameworks have measurable ROI, but they require a holistic, platform-based approach to curtail threats and guide the safe use of AI, he adds. However, CIOs must still demonstrate measurable outcomes and communicate these imperatives to senior leadership to secure investment.

Risk 105

Risk Risk Management Cost-Benefit Measurement 105

AWS Big Data

DECEMBER 5, 2024

Enterprises that need to share and access large amounts of data across multiple domains and services need to build a cloud infrastructure that scales as need changes. Solution overview The MSK clusters in Hydro are configured with a PER_TOPIC_PER_BROKER level of monitoring, which provides metrics at the broker and topic levels.

Metrics 78

Metrics Dashboards Testing Optimization 78

DataKitchen

APRIL 13, 2021

This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Composable Analytics — A DataOps Enterprise Platform with built-in services for data orchestration, automation, and analytics. Observe, optimize, and scale enterprise data pipelines. .

Testing 300

Testing Machine Learning Consulting Data Science 300

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. Quality test suites will enforce “equity,” like any other performance metric. 2022 will bring further momentum behind modular enterprise architectures like data mesh.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

NOVEMBER 3, 2023

In this post, we explore how to combine AWS Glue usage information and metrics with centralized reporting and visualization using QuickSight. You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard.

Metrics 100

Metrics Dashboards Metadata Visualization 100

datapine

SEPTEMBER 4, 2019

The secret is out, and has been for a while: In order to remain competitive, businesses of all sizes, from startup to enterprise, need business intelligence (BI). Organizations can also further utilize the data to define metrics and set goals. They track performance metrics against enterprise-wide strategic goals.

Dashboards 263

Dashboards Analytics Key Performance Indicator Sales 263

datapine

APRIL 2, 2019

Tracking the success metrics based on your needs, and the time frame you select while comparing your values can be done with simple yet effective scorecards. A KPI scorecard is a term used to describe a statistical record that measures progress or achievement towards a set performance indicator. What Is A KPI Scorecard?

Scorecard 226

Scorecard KPI Dashboards Reporting 226

O'Reilly on Data

NOVEMBER 13, 2018

We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. There are also many important considerations that go beyond optimizing a statistical or quantitative metric. Let’s begin by looking at the state of adoption. Culture and organization.

Machine Learning 277

Machine Learning Risk Management Statistics 277

bridgei2i

JULY 8, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

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

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