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 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

OCTOBER 30, 2024

AI’s ability to automate repetitive tasks leads to significant time savings on processes related to content creation, data analysis, and customer experience, freeing employees to work on more complex, creative issues. A data mesh delivers greater ownership and governance to the IT team members who work closest to the data in question.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

Cloudera

NOVEMBER 15, 2021

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

CIO Business Intelligence

JANUARY 5, 2025

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] Reliability and security is paramount.

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

O'Reilly on Data

SEPTEMBER 24, 2018

For big data, this isn't just making sure cluster processes are running. A DataOps team needs to do that and keep an eye on the data. With big data, we're often dealing with unstructured data or data coming from unreliable sources. They know how to operate the big data frameworks.

Enterprise 239

Enterprise Big Data Data Quality Unstructured Data 239

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Science 300

Rocket-Powered Data Science

MARCH 20, 2023

Datasphere accesses and integrates both SAP and non-SAP data sources into end-users’ data flows, including on-prem data warehouses, cloud data warehouses and lakehouses, relational databases, virtual data products, in-memory data, and applications that generate data (such as external API data loads).

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

JANUARY 24, 2024

“Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

SEPTEMBER 12, 2024

Organizational data is diverse, massive in size, and exists in multiple formats (paper, images, audio, video, emails, and other types of unstructured data, as well as structured data) sprawled across locations and silos. Every AI journey begins with the right data foundation—arguably the most challenging step.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Machine Learning 119

Timo Elliott

JANUARY 3, 2022

Today’s data volumes have long since exceeded the capacities of straightforward human analysis, and so-called “unstructured” data, not stored in simple tables and columns, has required new tools and techniques. Improving data quality. Unexamined and unused data is often of poor quality. Learn More.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

CIO Business Intelligence

MARCH 9, 2022

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

AWS Big Data

FEBRUARY 29, 2024

Data governance is a critical building block across all these approaches, and we see two emerging areas of focus. First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses.

Data Governance 109

Data Governance Unstructured Data Metadata Data Lake 109

CIO Business Intelligence

MAY 24, 2022

In order to help maintain data privacy while validating and standardizing data for use, the IDMC platform offers a Data Quality Accelerator for Crisis Response.

Finance 140

Finance Management Metadata Machine Learning 140

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

CIO Business Intelligence

SEPTEMBER 12, 2024

At Gartner’s London Data and Analytics Summit earlier this year, Senior Principal Analyst Wilco Van Ginkel predicted that at least 30% of genAI projects would be abandoned after proof of concept through 2025, with poor data quality listed as one of the primary reasons.

Unstructured Data 111

Unstructured Data Data Quality Enterprise Data Governance 111

CIO Business Intelligence

SEPTEMBER 11, 2024

But here’s the real rub: Most organizations’ data stewardship practices are stuck in the pre-AI era, using outdated practices, processes, and tools that can’t meet the challenge of modern use cases. Data stewardship makes AI your superpower In the AI era, data stewards are no longer just the data quality guardians.

Data Quality 118

Data Quality Unstructured Data Metadata Data Governance 118

CIO Business Intelligence

SEPTEMBER 19, 2024

It will do this, it said, with bidirectional integration between its platform and Salesforce’s to seamlessly delivers data governance and end-to-end lineage within Salesforce Data Cloud. That work takes a lot of machine learning and AI to accomplish.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

CIO Business Intelligence

DECEMBER 19, 2023

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

DataKitchen

FEBRUARY 27, 2024

However, the foundation of their success rests not just on sophisticated algorithms or computational power but on the quality and integrity of the data they are trained on and interact with. The Imperative of Data Quality Validation Testing Data quality validation testing is not just a best practice; it’s imperative.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

BizAcuity

MARCH 29, 2019

Data lakes are centralized repositories that can store all structured and unstructured data at any desired scale. The power of the data lake lies in the fact that it often is a cost-effective way to store data. Numbers are only good if the data quality is good.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

datapine

DECEMBER 4, 2019

Considered a new big buzz in the computing and BI industry, it enables the digestion of massive volumes of structured and unstructured data that transform into manageable content. Cognitive computing is a BI buzzword that we will hear more often in 2020. Graph Analytics. Graph analytics has revolutionized business intelligence.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

JANUARY 22, 2024

A healthcare payer or provider must establish a data strategy to define its vision, goals, and roadmap for the organization to manage its data. Next is governance; the rules, policies, and processes to ensure data quality and integrity. The need for generative AI data management may seem daunting.

Unstructured Data 98

Unstructured Data Digital Transformation Data Strategy Modeling 98

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. How does Data Virtualization manage data quality requirements?

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

datapine

AUGUST 14, 2019

Geet our bite-sized free summary and start building your data skills! What Is A Data Science Tool? In the past, data scientists had to rely on powerful computers to manage large volumes of data. Our Top Data Science Tools. Here, we list the most prominent ones used in the industry.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

JANUARY 20, 2023

Storing the data : Many organizations have plenty of data to glean actionable insights from, but they need a secure and flexible place to store it. The most innovative unstructured data storage solutions are flexible and designed to be reliable at any scale without sacrificing performance.

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

CIO Business Intelligence

JUNE 7, 2022

NLP solutions can be used to analyze the mountains of structured and unstructured data within companies. In large financial services organizations, this data includes everything from earnings reports to projections, contracts, social media, marketing, and investments. NLP will account for $35.1 Putting NLP to Work.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

Smart Data Collective

SEPTEMBER 26, 2021

Data mining and knowledge go hand in hand, providing insightful information to create applications that can make predictions, identify patterns, and, last but not least, facilitate decision-making. Working with massive structured and unstructured data sets can turn out to be complicated. Metadata makes the task a lot easier.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

CIO Business Intelligence

MAY 8, 2024

According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success. Additionally, a study by McKinsey found that organisations leveraging AI in data integration can achieve an average improvement of 20% in data quality.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Cloudera

MAY 14, 2024

More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate. Data comes in many forms. True’ hybrid incorporates data stores that are capable of maintaining and harnessing data, no matter the format.

Data Architecture 99

Data Architecture Data Governance Unstructured Data Structured Data 99

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. Data scientists use data science to discover insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

APRIL 19, 2023

Adding automation gives data professionals an extra level of support, reducing workloads, streamlining workflows, and jumpstarting productivity. Easing the strain on data management teams can help improve data quality and keep businesses one step ahead of the market. What are your compliance needs?

Digital Transformation 98

Digital Transformation Data Governance Unstructured Data Risk 98

datapine

FEBRUARY 22, 2022

Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. It is crucial to guarantee solid data quality management , as it will help you maintain the cleanest data possible for better operational activities and decision-making made relying on that data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Timo Elliott

JANUARY 22, 2019

But it magnifies any existing problems with data quality and data bias and poses unprecedented challenges to privacy and ethics. Comprehensive governance and data transparency policies are essential. Traditional analytics focused on structured data flowing from operational systems.

Analytics 96

Analytics Machine Learning Unstructured Data Business Intelligence 96

AWS Big Data

JULY 29, 2024

In the era of big data, data lakes have emerged as a cornerstone for storing vast amounts of raw data in its native format. They support structured, semi-structured, and unstructured data, offering a flexible and scalable environment for data ingestion from multiple sources.

Metadata 118

Metadata Snapshot Data Lake Metrics 118

Alation

AUGUST 4, 2022

A key challenge of legacy approaches involved data quality. How could you ensure data was valid and accurate, and then follow through on new insights with action? It got people realizing that data is a business tool, and that technologists are the custodians of that data,” points out New Zealand CIO Anthony McMahon.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95