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. Here they are.

Metrics 140

Metrics IT ROI Measurement 140

DataKitchen

NOVEMBER 5, 2024

Next, data is processed in the Silver layer , which undergoes “just enough” cleaning and transformation to provide a unified, enterprise-wide view of core business entities. Similarly, downstream business metrics in the Gold layer may appear skewed due to missing segments, which can impact high-stakes decisions.

Data Quality 198

Data Quality Testing Metrics Reporting 198

CIO Business Intelligence

DECEMBER 10, 2024

According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. CIOs should return to basics, zero in on metrics that will improve through gen AI investments, and estimate targets and timeframes.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

CIO Business Intelligence

APRIL 8, 2025

Rule 1: Start with an acceptable risk appetite level Once a CIO understands their organizations risk appetite, everything else strategy, innovation, technology selection can align smoothly, says Paola Saibene, principal consultant at enterprise advisory firm Resultant. Cybersecurity must be an all-hands-on-deck endeavor.

Risk Management 131

Risk Management Risk Management Business Objectives 131

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

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. What could be faster and easier than on-prem enterprise data sources? using high-dimensional data feature space to disambiguate events that seem to be similar, but are not).

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

SEPTEMBER 17, 2024

CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

AWS Big Data

NOVEMBER 20, 2023

Today we are pleased to announce a new class of Amazon CloudWatch metrics reported with your pipelines built on top of AWS Glue for Apache Spark jobs. The new metrics provide aggregate and fine-grained insights into the health and operations of your job runs and the data being processed. workerUtilization showed 1.0

Metrics 126

Metrics Data Lake Cost-Benefit Dashboards 126

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. They also can provide education and training enterprise-wide.

Metrics 243

Metrics Experimentation Measurement Testing 243

O'Reilly on Data

MAY 14, 2020

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. data platform, metrics, ML/AI research, and applied ML). data platform, metrics, ML/AI research, and applied ML).

Management 364

Management Experimentation B2B Machine Learning 364

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. Our research shows 52% of organizations are increasing AI investments through 2025 even though, along with enterprise applications, AI is the primary contributor to tech debt.

ROI 136

ROI Cost-Benefit Metrics Strategy 136

AWS Big Data

FEBRUARY 13, 2024

AWS Glue has made this more straightforward with the launch of AWS Glue job observability metrics , which provide valuable insights into your data integration pipelines built on AWS Glue. This post, walks through how to integrate AWS Glue job observability metrics with Grafana using Amazon Managed Grafana. Sign in to your workspace.

Metrics 126

Metrics Dashboards Visualization Key Performance Indicator 126

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

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

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 97

Metrics Dashboards Testing Optimization 97

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 115

Metrics Dashboards Metadata Visualization 115

O'Reilly on Data

MARCH 27, 2019

The journey to the data-driven enterprise from the edge to AI. Watch " The journey to the data-driven enterprise from the edge to AI.". The enterprise data cloud. Mike Olson describes the key capabilities an enterprise data cloud system requires, and why hybrid and multi-cloud is the future.

Uncertainty 274

Uncertainty Forecasting Machine Learning Data-driven 274

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. Even if a product is feasible, that’s not the same as product-market fit.

Management 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

APRIL 9, 2025

Solving real-world discovery challenges In large, enterprise-scale environments, discovering the right dataset often hinges on pinpointing specific technical identifiers. This reduces time-to-insight and makes sure the right metric is used in reporting. Connect with him on LinkedIn.

Metadata 110

Metadata Metrics Data-driven Cost-Benefit 110

AWS Big Data

MARCH 29, 2024

In Part 2 of this series, we discussed how to enable AWS Glue job observability metrics and integrate them with Grafana for real-time monitoring. In this post, we explore how to connect QuickSight to Amazon CloudWatch metrics and build graphs to uncover trends in AWS Glue job observability metrics.

Metrics 128

Metrics Visualization Dashboards Publishing 128

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

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. Enterprise gen AI is where the true value is. Thats gen AI driving revenue.

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

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. AI systems can now automate much of this work, reducing paperwork errors and allowing healthcare professionals to focus more on patient care.

Enterprise 126

Enterprise Testing Predictive Analytics Metrics 126

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

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

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 304

Testing Machine Learning Consulting Data Science 304

CIO Business Intelligence

OCTOBER 4, 2023

The enterprise edge has become a growing area of innovation as organizations increasingly understand that not every workload — particularly new edge workloads — can move to the cloud. In the European Union, for instance, legislative efforts to reduce carbon emissions by 50% before 2030 are in an advanced stage.

Enterprise 124

Enterprise Cost-Benefit Manufacturing Metrics 124

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 317

Management Machine Learning Metrics Modeling 317

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. Regards, David Menninger

Metrics 147

Metrics Measurement Machine Learning Modeling 147

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The semantic layer achieves this by mapping heterogeneously labeled data into familiar business terms, providing a unified, consolidated view of data across the enterprise. The data science team may be focused on feature importance metrics, feature engineering, predictive modeling, model explainability, and model monitoring.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

Cloudera

NOVEMBER 13, 2024

Large Language Models (LLMs) will be at the core of many groundbreaking AI solutions for enterprise organizations. Here are just a few examples of the benefits of using LLMs in the enterprise for both internal and external use cases: Optimize Costs. Evaluate the performance of trained LLMs.

Cost-Benefit 87

Cost-Benefit Data Processing Machine Learning Testing 87

CIO Business Intelligence

MAY 8, 2025

IBM Research is making a significant push for industry-wide standardization of AI evaluation metrics through the SaaS release of ITBench, the companys benchmarking platform for enterprise IT automation. IBM has also launched a public GitHub-hosted leaderboard that transparently tracks performance metrics across vendors and solutions.

Enterprise 69

Enterprise Metrics Data Processing Measurement 69

CIO Business Intelligence

FEBRUARY 1, 2024

The other side of the cost/benefit equation — what the software will cost the organization, and not just sticker price — may not be as captivating when it comes to achieving approval for a software purchase, but it’s just as vital in determining the expected return on any enterprise software investment.

Software 131

Software Enterprise Cost-Benefit ROI 131

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

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 259

Modeling Machine Learning Testing Metrics 259

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

AWS Big Data

NOVEMBER 11, 2024

Monitor the solution To maintain the health of the log ingestion pipeline, there are several key areas to monitor: Kinesis Data Streams metrics – You should monitor the following metrics: FailedRecords – Indicates an issue in CloudWatch subscription filters writing to the Kinesis data stream. Investigate data stream metrics.

Metadata 122

Metadata Metrics Analytics Data Processing 122