Jen Stirrup

JULY 12, 2025

When organizations attempt to build advanced analytics or AI capabilities on shaky data foundations, the results are predictable. As Forrester's 2024 AI Implementation Survey notes, "Companies that prioritize data strategy before AI deployment are 3.2 times more likely to achieve positive ROI from their AI investments."

Enterprise

CIO Business Intelligence

APRIL 8, 2025

As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality.

Data Quality

DataKitchen

JULY 8, 2025

Just as software teams would never dream of deploying code that has only been partially tested, data engineering teams must adopt comprehensive testing strategies to ensure the reliability, accuracy, and trustworthiness of their data products. The financial implications of these strategies are significant.

Testing

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Enterprise

CIO Business Intelligence

JULY 8, 2025

To address this gap and ensure the data supply chain receives enough top-level attention, CIOs have hired or partnered with chief data officers, entrusting them to address the data debt , automate data pipelines , and transform to a proactive data governance model focusing on health metrics, data quality , and data model interoperability. [

Risk

AWS Big Data

NOVEMBER 13, 2024

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution. Finally, we highlight the key business outcomes. The team identified two use cases.

Metadata

KDnuggets

AUGUST 8, 2025

The system suggests temporal patterns from listing dates, hierarchical encoding strategies for high-cardinality categories like GICS sub-industries, and cross-column relationships such as age-by-sector interactions that capture how company maturity affects performance differently across industries.

Data Science

DataFloq

JULY 8, 2025

Modern businesses leveraging AI-powered solutions report dramatic improvements in engagement rates, conversion metrics, and customer lifetime value. Comprehensive AI Integration Advantages Unlike static touchpoints, webinars provide rich, multi-dimensional data streams that AI can analyze and optimize in real-time.

Interactive

Jen Stirrup

AUGUST 4, 2025

A McKinsey study found that organizations with clear links between digital initiatives and core business strategy were 1.5 Boards should interrogate the organization's data readiness before approving significant AI investments. As data expert Thomas C. What percentage of our data meets quality standards for this application?

Digital Transformation

Jen Stirrup

AUGUST 2, 2025

It's the starting point for any data-driven organization, enabling employees to: Read and understand data visualizations Recognize basic patterns and trends Identify obvious data quality issues Interpret standard reports and metrics However, in today's AI hungry sphere, these skills are no longer sufficient but necessary.

Data-driven

CIO Business Intelligence

MARCH 25, 2025

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

Risk

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. Second, the manual spreadsheet work resulted in significant manual data entry.

Enterprise

CIO Business Intelligence

NOVEMBER 11, 2024

A gradual and constant focus on integrating Digital into the business strategy remains our key focus to make these initiatives sustainable, and by weaving Digital into the cultural fabric of our organization, we continuously enable our workforce to become future ready.

Reporting

CIO Business Intelligence

JANUARY 30, 2025

AI Governance should absolutely be part of your AI strategy from the beginning and not an afterthought. Metrics should include system downtime and reliability, security incidents, incident response times, data quality issues and system performance. Organizations need to have a data governance policy in place.

Testing

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

Smart Data Collective

JUNE 11, 2025

The Role of Monitoring in Big Data Growth There are real costs to ignoring data quality issues, especially when they scale. You are not alone if your business handles large sets of digital records or metrics. The global big data technology market was valued at $349.40

Big Data

Smarten

DECEMBER 5, 2024

Understanding anomalies in data can help a business by revealing trends, mapping targets and adapting to change with fact-based information that will help the enterprise and prescribe strategies to encourage agility and flexibility in the market and among competitors.

Key Performance Indicator

Anmut

JULY 23, 2025

Your data assets need the same level of accountability. Monitor Performance Over Time Physical assets deteriorate without proper maintenance—and so does data. The Path Forward The organisations that master data asset management today will be the ones leading tomorrow’s asset optimisation revolution.

Digital Transformation

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. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata

CIO Business Intelligence

FEBRUARY 20, 2025

However, it is often unclear where the data needed for reporting is stored and what quality it is in. Often the data quality is insufficient to make reliable statements. Insufficient or incorrect data can even lead to wrong decisions, says Kastrati. Big data and analytics provide valuable support in this regard.

Big Data

KDnuggets

JULY 2, 2025

Ignoring Product Thinking Mistake: Focusing on model metrics instead of business value. Tie your answers to data and metrics (e.g., model performance metrics , business metrics , user impact , etc.). The recruitment process in data science is complicated and gruesome enough.

Machine Learning

CIO Business Intelligence

JULY 10, 2025

This highlights significant strategic gaps in the implementation of AI, where initiatives are often driven by hype cycles or isolated vendor offerings, rather than a unified enterprise strategy. Effectiveness is dependent on the underlying enterprise data structure, data quality and organizational context. Middle East.

Experimentation

CIO Business Intelligence

OCTOBER 30, 2024

Since USF made it an area of focus to enable the teams working on technology outside of IT, Fernandes included a set of metrics in the strategic plan to track how much IT helps client technologists. “These client technologists need the tools and governance to create digital products at the speed of business.”

Management

CIO Business Intelligence

FEBRUARY 25, 2025

Still, many organizations arent yet ready to fully take advantage of AI because they lack the foundational building blocks around data quality and governance. CIOs must be able to turn data into value, Doyle agrees. Stories and metrics matter. Interviewers are trying to mitigate risk when they hire.

Uncertainty

DataFloq

JULY 29, 2025

But hype doesn’t bring business value – AI strategy does. To realize AI’s full value, companies should stop treating it as a series of isolated, experimental initiatives and start treating it as a core strategy. What is an AI strategy? So how to develop an AI strategy that pays off? Here we go.

Strategy

CIO Business Intelligence

JUNE 24, 2025

This shift often led to strategic design decisions that favoured finance, where all data, primarily financial transaction data, as opposed to broader operational metrics like customer behavior, supply chain efficiency or production output, sometimes passed through finance first. Operational Second, innovation bottlenecks.

Digital Transformation

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? Poor data quality: The silent killer of AI initiatives Lets start with the barrier often underplayed but most consequential: data quality.

Prescriptive Analytics

CIO Business Intelligence

MARCH 17, 2025

Enterprises are investing a lot of money in artificial intelligence tools, services, and in-house strategies. Downplaying data management Having high-quality data is vital for AI success. Without solid data foundations, AI adoption becomes nearly impossible, Genpacts Menon says.

Measurement

CIO Business Intelligence

JUNE 16, 2025

CIOs are putting these and other data technologies to work to ensure data pipelines are robust and of a level of quality necessary to achieve transformative value from their AI strategies. Research firm IDC defines data maturity as the use of advanced data quality, cataloging and metadata, and data governance processes.

Data Warehouse

CIO Business Intelligence

APRIL 1, 2025

Protecting data from bad actors In an era where cyber threats are increasingly sophisticated, organizations must adopt a proactive security strategy to safeguard sensitive data. Error-filled, incomplete or junk data can make costly analytics efforts unusable for organizations.

Data-driven

CIO Business Intelligence

MAY 12, 2025

Their use of data often revolves around metrics, like the difference between Net Dollar Retention and Account-based Churn, or margin vs. gross margin. They think about data as a resource. They define what data they need, where it comes from, whats required in terms of cleanup and how they would like to use it.

Visualization

CIO Business Intelligence

APRIL 16, 2025

Many organizations have launched dozens of AI PoC projects only to see a huge percentage fail, partly because CIOs dont know whether they meet key metrics, according research from IDC. Research suggests establishing this edge is no easy task. This group is part of the governance process we have around AI, she says.

Technology

CIO Business Intelligence

JULY 9, 2025

Its influence extended far beyond technical studies, shaping US defense strategy, nuclear policy and the broader framework of Cold War deterrence. Simulations and game theory profoundly influenced the planning process associated with nuclear defense and deterrence, in addition to influencing decades of post-war military strategy.

Enterprise

CIO Business Intelligence

FEBRUARY 18, 2025

Start with data as an AI foundation Data quality is the first and most critical investment priority for any viable enterprise AI strategy. Data trust is simply not possible without data quality. A decision made with AI based on bad data is still the same bad decision without it.

Machine Learning

CIO Business Intelligence

JUNE 19, 2025

I’m sure you’ve heard about the MoSCoW method from strategy gatherings — M ust-have, S hould-have, C ould-have and W on’t-have. In 2025, I firmly believe customer data platforms (CDPs) have moved squarely into the “Must-have” category for any organization that wants to unlock the full potential of AI/ML and GenAI. Revenue growth?

Marketing

CIO Business Intelligence

JUNE 17, 2025

While they do offer some insights, leaderboards actually aren’t the best metric for determining a model’s effectiveness in the real world. Typically built around standardized tasks and publicly available datasets, they provide an easily digestible view of how various models stack up against one another. Here’s why… 1. Want to join?

Measurement

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

Data Quality