O'Reilly on Data

MAY 14, 2020

data platform, metrics, ML/AI research, and applied ML). According to VentureBeat , fewer than 15% of Data Science projects actually make it into production. is an excellent introduction to metrics and analytics. The number of projects that actually add value (especially in an enterprise context) is probably even lower.

Management 364

Management Experimentation B2B Machine Learning 364

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

DataKitchen

JANUARY 6, 2021

In a recent Gartner survey (figure 1), data professionals spent 56% of their time on operational execution and only 22% of their time on innovation that delivers value. An effective DataOps strategy can help a team invert this ratio and provide more value to the company. . About the Author. James Royster.

Cost-Benefit 246

Cost-Benefit Testing Strategy Metrics 246

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

CIO Business Intelligence

OCTOBER 23, 2024

But because of the infrastructure, employees spent hours on manual data analysis and spreadsheet jockeying. We had plenty of reporting, but very little data insight, and no real semblance of a data strategy. This legacy situation gave us two challenges.

Enterprise 119

Enterprise Dashboards KPI Data Lake 119

CIO Business Intelligence

APRIL 8, 2025

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. However, even the most sophisticated models and platforms can be undone by a single point of failure: poor data quality. This challenge remains deceptively overlooked despite its profound impact on strategy and execution.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

MARCH 19, 2025

CIOs have the daunting task of educating it on the various flavors of this capability, and steering them to the most beneficial investments and strategies. When I joined RGA, there was already a recognition that we could grow the business by building an enterprise data strategy.

Metrics 64

Metrics Enterprise Cost-Benefit Experimentation 64

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

AWS Big Data

DECEMBER 4, 2024

This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division. Amazon DataZone plays an essential role in facilitating data product management for the domain teams.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

CIO Business Intelligence

MAY 2, 2023

Despite the best of intentions, CIOs and their organizations often struggle to deliver business outcomes from digital transformation strategies. And while KPMG reports that 72% of CEOs have aggressive digital investment strategies, McKinsey details a harsh reality that 70% of transformations fail. Five years ago, I shared that the No.

Digital Transformation 141

Digital Transformation IT Data-driven Data Quality 141

DataKitchen

JUNE 24, 2021

GE formed its Digital League to create a data culture. One of the keys for our success was really focusing that effort on what our key business initiatives were and what sorts of metrics mattered most to our customers. Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

BizAcuity

NOVEMBER 13, 2024

Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively. Beyond mere data collection, BI consulting helps businesses create a cohesive data strategy that aligns with organizational goals.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

Alation

SEPTEMBER 15, 2022

We continue to discover why organizations with a top-tier data culture lead their competitors. In a statement that captures this point, Gartner predicts that by next year, “organizations that promote data sharing will outperform their peers on most business value metrics.” Tip #1: A Good Data Strategy Starts With People.

Data Strategy 52

Data Strategy Strategy Sales Data-driven 52

Smart Data Collective

SEPTEMBER 4, 2020

Google has shown how to use big data effectively for decision-making , but many other companies don’t understand the principles to follow. Far too many businesses fail to develop a sensible data strategy, so their ROI from their data collection methodologies is often subpar. Guide to Creating a Big Data Strategy.

Data-driven 103

Data-driven Big Data Metrics Strategy 103

CIO Business Intelligence

APRIL 30, 2024

Your AI strategy is only as good as your data strategy,” Tableau CMO Elizabeth Maxon said in a press conference Monday. But to us, it’s more than just having a data strategy; it’s also about building a great foundation of a data culture.” Metrics Bootstrapping. Metric Goals.

Analytics 96

Analytics Metrics Visualization Dashboards 96

IBM Big Data Hub

DECEMBER 20, 2023

Without an AI strategy, organizations risk missing out on the benefits AI can offer. An AI strategy helps organizations address the complex challenges associated with AI implementation and define its objectives. What is an AI strategy? A successful AI strategy should act as a roadmap for this plan.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

CIO Business Intelligence

APRIL 12, 2023

A clear vision for executing a real-time AI strategy is a critical step to align executives and line-of-business leaders on how real-time AI will increase business value for the organization. How is data, process, and model drift managed for reliability? What metrics are used to understand the business impact of real-time AI?

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

Andrew White

NOVEMBER 1, 2019

The main angle was from the point of view of a university, but the point was related to business too: They (strategies) take too long to draft or define. Most of these strategies were effectively based on faith, hope, and charity. We have tried mightily to help organizations recognize what strategy is meant to be.

Strategy 56

Strategy Analytics Data-driven Data Strategy 56

Smart Data Collective

SEPTEMBER 2, 2023

These metrics are typically narrow in scope, such that they can’t tell you everything about the progress of your campaign. Including more data points, or showing more granular detail aren’t necessarily good things. Your data strategy should be oriented toward actionable insights. Actionable insights.

Key Performance Indicator 126

Key Performance Indicator Statistics Metrics Interactive 126

CIO Business Intelligence

JANUARY 6, 2023

1 source of uncertainty in the workplace is absence of strategy. To wit, two-thirds of enterprises do not have a data strategy. And among the companies that do have a strategy, just 14% of their employees “have a good understanding of their company’s strategy and direction.” I am certain of that.

Uncertainty 124

Uncertainty Strategy Data Processing Reporting 124

CIO Business Intelligence

OCTOBER 16, 2024

For Adrian Butler, who has been CTO of the $8 billion global business for about two years, the key is to focus on the data that matters most, and to help the entire business understand how to use its data to inform decisions and better serve customers. What’s been your approach to developing a data strategy?

Technology 119

Technology Strategy Enterprise Metrics 119

CIO Business Intelligence

JUNE 30, 2023

And we’ll let you in on a secret: this means nailing your data strategy. All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. This involves a mindset shift, and, of course, a comprehensive data strategy.

Internet of Things 104

Internet of Things Strategy Data Strategy Data-driven 104

Smart Data Collective

APRIL 30, 2022

Data technology has changed the reality of business. More companies are trying to incorporate data analytics into their business models. However, only 13% of companies feel they are delivering on their data strategies. Companies need to use the right software applications to make the most of their data.

Software 122

Software Enterprise Management Cost-Benefit 122

CIO Business Intelligence

JULY 5, 2024

So many vendors, applications, and use cases, and so little time, and it permeates everything from business strategy and processes, to products and services. So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation.

ROI 124

ROI Experimentation Risk Cost-Benefit 124

Cloudera

AUGUST 13, 2021

Every enterprise is trying to collect and analyze data to get better insights into their business. Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis.

Analytics 111

Analytics Data Lake Unstructured Data Enterprise 111

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. Business strategy. Data engineering. The third challenge was around trusting the data.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Smart Data Collective

APRIL 21, 2022

One study found that the ROI of UX strategies is 9,900%. As more companies realize the importance of offering a stellar web experience, they will invest in big data as part of their UX strategies. Data analytics can help with the UX process. Here are five ways you can improve the UX of your website with big data.

Data Analytics 131

Data Analytics Analytics Big Data Machine Learning 131

Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . Build your data strategy around the convergence of software and hardware.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

Occam's Razor

JUNE 25, 2012

Though Europe is our primary focus, regardless of where you are located you'll learn about web privacy, data collection, optimal tool decisions and how best to plan your data strategy. Web Data Collection Context: Cookies and Tools. Adjust your data analysis strategy accordingly. La vita è bella.

Data Collection 131

Data Collection Advertising Metrics Reporting 131

CIO Business Intelligence

APRIL 8, 2024

Like other data-driven initiatives, Souza says Digital Athlete uses data rather than hunches and instinct to understand what’s happening on the field during games and practices. The first thing is having a data strategy, having a foundation of data, and then asking questions of it.”

Analytics 118

Analytics Broadcasting Predictive Analytics Machine Learning 118

CIO Business Intelligence

NOVEMBER 29, 2022

Increasing ROI for the business requires a strategic understanding of — and the ability to clearly identify — where and how organizations win with data. It’s the only way to drive a strategy to execute at a high level, with speed and scale, and spread that success to other parts of the organization. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. Strategies for measuring value and prioritizing data products are explored later in this post.

Management 98

Management Risk Measurement Optimization 98

Smart Data Collective

OCTOBER 21, 2020

The concept of email marketing predates the big data phenomenon by at least 20 years. However, data-driven insights have clearly played a profound role in the future of email marketing. Companies need to find new ways to use big data to embrace new email strategies. The Evolution of Email in the Age of Big Data.

Data-driven 105

Data-driven Big Data Machine Learning Metrics 105

Srividya Sridharan

OCTOBER 11, 2019

Our team is busy gearing up for the Data Strategy & Insights 2019 Forum in about three weeks. My co-RD Gene Leganza and I are having some great speaker prep conversations, and we’ve been lucky to get a sneak peek into how these industry speakers are making an impact in their organizations by leading the […].

Analytics 18

Analytics Data Strategy Strategy Consulting 18

AWS Big Data

AUGUST 1, 2024

Effective planning, thorough risk assessment, and a well-designed migration strategy are crucial to mitigating these challenges and implementing a successful transition to the new data warehouse environment on Amazon Redshift. The success criteria are the key performance indicators (KPIs) for each component of the data workflow.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

TDAN

JUNE 15, 2022

Occasionally, I pick up on trends in my peripheral vision. These are trends that aren’t in the center of my professional field of view, but are out there on the edges. Obviously, these trends are in the center of someone’s field of view, and there are people out there who make a living tracking technology […].

Metrics 59

Metrics Technology Data Architecture Data Strategy 59

CIO Business Intelligence

MARCH 21, 2022

Data scientists are becoming increasingly important in business, as organizations rely more heavily on data analytics to drive decision-making and lean on automation and machine learning as core components of their IT strategies. Data scientist job description.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137