Data Warehouse, Measurement and Unstructured Data

Data’s dark secret: Why poor quality cripples AI and growth

CIO Business Intelligence

APRIL 8, 2025

From reactive fixes to embedded data quality Vipin Jain Breaking free from recurring data issues requires more than cleanup sprints it demands an enterprise-wide shift toward proactive, intentional design. Data quality must be embedded into how data is structured, governed, measured and operationalized.

Data Quality

Data Quality Data-driven Key Performance Indicator Metadata

5 misconceptions about cloud data warehouses

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse

Data Warehouse Cost-Benefit Unstructured Data Data Architecture

Data governance in the age of generative AI

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

Data Governance Unstructured Data Metadata Data Lake

Webinars

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Data Talks, CFOs Listen: Why Analytics Is The Key To Better Spend Management

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

MORE WEBINARS

The DataOps Vendor Landscape, 2021

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. Production Monitoring Only.

Testing

Testing Machine Learning Consulting Data Science

How a Discovery Data Warehouse, the next evolution of augmented analytics, accelerates treatments and delivers medicines safely to patients in need

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse

Data Warehouse Unstructured Data Analytics Visualization

Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Define a budget.

Business Intelligence

Business Intelligence Strategy Cost-Benefit Dashboards

Do I Need a Data Catalog?

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Sales are measured down to a zip code territory level across product categories.

Metadata

Metadata Cost-Benefit Measurement Data-driven

Understanding Social And Collaborative Business Intelligence

datapine

NOVEMBER 19, 2019

Social business intelligence tools help encourage collaboration, reveal the data and content valuable to users, and help create popular business users and content. Popularity is not just chosen to measure quality, but also to measure business value. However, collaborative BI helps in changing that. Summing Up.

Business Intelligence

Business Intelligence Knowledge Discovery Dashboards Unstructured Data

3 things to get right with data management for gen AI projects

CIO Business Intelligence

OCTOBER 2, 2024

Collect, filter, and categorize data The first is a series of processes — collecting, filtering, and categorizing data — that may take several months for KM or RAG models. Structured data is relatively easy, but the unstructured data, while much more difficult to categorize, is the most valuable.

Management

Management Data Governance Cost-Benefit Structured Data

Understanding Social And Collaborative Business Intelligence

datapine

NOVEMBER 19, 2019

Social business intelligence tools help encourage collaboration, reveal the data and content valuable to users, and help create popular business users and content. Popularity is not just chosen to measure quality, but also to measure business value. However, collaborative BI helps in changing that. Summing Up.

Business Intelligence

Business Intelligence Knowledge Discovery Unstructured Data Dashboards

Quantitative and Qualitative Data: A Vital Combination

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics

Statistics Unstructured Data Data-driven Visualization

How IBM and AWS are partnering to deliver the promise of AI for business

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems.

Insurance

Insurance Data Warehouse Data-driven Unstructured Data

Multiplicity: Succeed Awesomely At Web Analytics 2.0!

Occam's Razor

NOVEMBER 5, 2007

For a person such as myself who came from the traditional Data Warehouse and Business Intelligence worlds that was a non-trivial mental model transformation. Five different sources of data, that require you to have multiple tools to measure success. See how it is web data and "web analytics"?

Analytics

Analytics Experimentation Metrics Measurement

AI agents will transform business processes — and magnify risks

CIO Business Intelligence

AUGUST 21, 2024

It wasn’t just a single measurement of particulates,” says Chris Mattmann, NASA JPL’s former chief technology and innovation officer. “It It was many measurements the agents collectively decided was either too many contaminants or not.” They also had extreme measurement sensitivity.

Risk

Risk Insurance Cost-Benefit Software

The New Normal for FP&A: Data Analytics

Jedox

OCTOBER 22, 2020

Data analytics is not new. Today, though, the growing volume of data (currently measured in brontobytes = 10^ 27th power) and the advanced technologies available mean you can get much deeper insights much faster than you could in the past. Typically, we take our multiple data sources and perform some level of ETL on the data.

Data Analytics

Data Analytics Analytics Unstructured Data Data mining

Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

JANUARY 8, 2024

Stream ingestion – The stream ingestion layer is responsible for ingesting data into the stream storage layer. It provides the ability to collect data from tens of thousands of data sources and ingest in real time. Examples are stock prices over time, webpage clickstreams, and device logs over time.

Analytics

Analytics IoT Data-driven Snapshot

How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

APRIL 14, 2022

As a result, data of millions of people have been exposed in the past and it increases the privacy concerns of netizens. Unstructured Data Management. Analyzing unstructured data is vital since it holds a dearth of crucial information. Enterprise Big Data Strategy.

Big Data

Big Data Data Analytics Management Unstructured Data

Use fuzzy string matching to approximate duplicate records in Amazon Redshift

AWS Big Data

FEBRUARY 8, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Amazon Redshift enables you to run complex SQL analytics at scale and performance on terabytes to petabytes of structured and unstructured data, and make the insights widely available through popular business intelligence (BI) and analytics tools.

Data Quality

Data Quality Testing Data Warehouse Unstructured Data

The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

SEPTEMBER 21, 2023

Enterprises still aren’t extracting enough value from unstructured data hidden away in documents, though, says Nick Kramer, VP for applied solutions at management consultancy SSA & Company. One thing buyers have to be careful about is the security measures vendors put in place. “This wasn’t possible before,” he says.

Enterprise

Enterprise Consulting Modeling Cost-Benefit

Data architecture strategy for data quality

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Deciding on KPIs to gauge a data architecture’s effectiveness.

Data Architecture

Data Architecture Data Quality Strategy Data Lake

The Need for Speed: Faster Data Access as Competitive Edge

Sisense

MAY 28, 2020

“Not only do they have to deal with data that is distributed across on-premises, hybrid, and multi-cloud environments, but they have to contend with structured, semi-structured, and unstructured data types. Chandana Gopal, Business Analytics Research Director, IDC.

Internet of Things

Internet of Things Metadata Data-driven Unstructured Data

Simplify external object access in Amazon Redshift using automatic mounting of the AWS Glue Data Catalog

AWS Big Data

JULY 28, 2023

Amazon Redshift is a petabyte-scale, enterprise-grade cloud data warehouse service delivering the best price-performance. Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools.

Data Lake

Data Lake Data Governance Data Warehouse Modeling

What Is Data Modernization? 5 Benefits Worth Knowing

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. So what’s the appeal of this new infrastructure?

Cost-Benefit

Cost-Benefit Data Governance Manufacturing Data Architecture

How Ruparupa gained updated insights with an Amazon S3 data lake, AWS Glue, Apache Hudi, and Amazon QuickSight

AWS Big Data

FEBRUARY 22, 2023

The initial design had some additional challenges: Diverse data source – The data source in an ecommerce platform consists of structured, semi-structured, and unstructured data, which requires flexible data storage. This was an improvement over the weekly report, but still not fast enough to make quicker decisions.

Data Lake

Data Lake Dashboards Cost-Benefit Data Warehouse

Top Takeaways from the Gartner® Innovation Insight: Data Security Posture Management

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. These policies function as a rule set that your data assets will later be measured against to determine security posture, level of risk, and remediation suggestions.

Management

Management Risk Risk Management Data Processing

Unlocking Trino’s Full Potential With Simba Drivers for BI & ETL

Jet Global

OCTOBER 1, 2024

Universal Data Connectivity: No matter your data source or format, Simba’s industry-standard drivers ensure compatibility. Whether you’re working with structured, semi-structured , or unstructured data , Simba makes it easy to bridge the gap between Trino and virtually any BI tool or ETL platform.

Dashboards

Dashboards Data Lake Reporting Cost-Benefit

Data Leaders Brief

Data’s dark secret: Why poor quality cripples AI and growth