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 110

Data Governance Unstructured Data Metadata Data Lake 110

CIO Business Intelligence

SEPTEMBER 11, 2024

AI systems make lightning-fast decisions whether the data they are using is good data or flawed. And the risk is not just about lost revenue – it’s about eroded customer trust, compliance nightmares, and missed opportunities that could set your business back for years. Remember the old adage “garbage in, garbage out?”

Data Quality 118

Data Quality Unstructured Data Metadata Data Governance 118

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

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

datapine

DECEMBER 4, 2019

Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

JANUARY 20, 2023

Topping the list of executive priorities for 2023—a year heralded by escalating economic woes and climate risks—is the need for data driven insights to propel efficiency, resiliency, and other key initiatives. Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics?

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

APRIL 19, 2023

Moving data into a cloud-based environment enables faster data sharing, improves workflows, and can ease workloads on mainframe systems and data centers. But moving critical infrastructure out of the data center is a process that is easier said than done. What are your compliance needs?

Digital Transformation 98

Digital Transformation Data Governance Unstructured Data Risk 98

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. Just starting out with analytics?

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

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

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 141

Management Data Governance Cost-Benefit Structured Data 141

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 119

Metadata Snapshot Data Lake Metrics 119

Cloudera

OCTOBER 8, 2020

Businesses are now faced with more data, and from more sources, than ever before. But knowing what to do with that data, and how to do it, is another thing entirely. . Poor data quality costs upwards of $3.1 Ninety-five percent of businesses cite the need to manage unstructured data as a real problem.

Digital Transformation 106

Digital Transformation Unstructured Data Experimentation Uncertainty 106

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Octopai

MARCH 22, 2023

Support for multiple data structures. Unlike traditional data warehouse platforms, snowflake supports both structured and semi-structured data. It allows users to combine all types of structured and unstructured data for analysis and load it into a database without demanding any transformations or conversions.

Cost-Benefit 103

Cost-Benefit Data Warehouse Unstructured Data Optimization 103

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The collection of source data shown on your left is composed of both structured and unstructured data from the organization’s internal and external sources.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

CIO Business Intelligence

SEPTEMBER 2, 2022

As more financial companies embrace the cloud, there’s been an increase in demand for data engineers to help manage AWS and Azure services in the organization. The average salary for a data engineer is $118,915 per year, with a reported salary range of $87,000 to $177,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

As more financial companies embrace the cloud, there’s been an increase in demand for data engineers to help manage AWS and Azure services in the organization. The average salary for a data engineer is $118,915 per year, with a reported salary range of $87,000 to $177,000 per year, according to data from Glassdoor.

Finance 98

Finance IT Software Reporting 98

Octopai

JUNE 24, 2019

“Data governance” is data management policy that ensures the integrity, availability, and efficiency of data within a company. This policy includes specialists, processes, and technology used to manage data. Document classification and lifecycle management will help you deal with oversight of unstructured data.

Data Governance 58

Data Governance Metadata Unstructured Data Software 58

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. Moreover, running advanced analytics and ML on disparate data sources proved challenging. To overcome these issues, Orca decided to build a data lake.

Data Lake 94

Data Lake Analytics Snapshot Data Quality 94

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. The third challenge is how to combine data management with analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Ontotext

MAY 22, 2023

The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

Alation

DECEMBER 15, 2021

This uncovers actionable intelligence, maintains compliance with regulations, and mitigates risks. Let’s explore the key steps for building an effective data governance strategy. What is a Data Governance Strategy? Data governance focuses on the daily tasks that keep information usable, understandable, and protected.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

bridgei2i

MARCH 1, 2019

Also, we cannot imagine the future, without considering the adoption challenges and the resultant data quality challenges ever-present in today’s sales organizations. For sales, the key lies in tapping the full potential of voice-based unstructured data using conversational AI.

Sales 40

Sales Unstructured Data Data Quality Enterprise 40

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Otherwise, they risk a data privacy violation.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

AUGUST 4, 2023

Data within a data fabric is defined using metadata and may be stored in a data lake, a low-cost storage environment that houses large stores of structured, semi-structured and unstructured data for business analytics, machine learning and other broad applications.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Alation

APRIL 19, 2022

Further, data modernization reduces data security and privacy compliance risks. Its process includes identifying sensitive information so you can limit users’ access to data precisely and efficiently. What Is Data Modernization? In that sense, data modernization is synonymous with cloud migration.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

FineReport

APRIL 26, 2023

Apache Hadoop Apache Hadoop is a Java-based open-source platform used for storing and processing big data. It is based on a cluster system, allowing it to efficiently process data and run it parallelly. It can process structured and unstructured data from one server to multiple computers and offers cross-platform support to users.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CIO Business Intelligence

APRIL 9, 2025

In Prioritizing AI investments: Balancing short-term gains with long-term vision , I addressed the foundational role of data trust in crafting a viable AI investment strategy. Absent governance and trust, the risks are higher as organizations adopt increasingly sophisticated analytics.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Grooper

AUGUST 19, 2019

Master data management. Data governance. Scoring – i.e. profitability or risk. Structured, semi-structured, and unstructured data. Data pipelines. Banks use analytics to differentiate customers and align product offerings based on credit risk, usage, and other characteristics. Data science approaches.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Jet Global

MAY 9, 2024

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Destination systems can include data warehouses, data lakes , or other data storage solutions.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

MARCH 26, 2025

New technology became available that allowed organizations to start changing their data infrastructures and practices to accommodate growing needs for large structured and unstructured data sets to power analytics and machine learning.

Data Quality 129

Data Quality Forecasting Unstructured Data Data-driven 129

CIO Business Intelligence

JANUARY 30, 2025

For example, AI can perform real-time data quality checks flagging inconsistencies or missing values, while intelligent query optimization can boost database performance. Cloud-native data lakes and warehouses simplify analytics by integrating structured and unstructured data.

Management 113

Management Data-driven Data Governance Unstructured Data 113

CIO Business Intelligence

FEBRUARY 18, 2025

My journey started by looking at the AI opportunity landscape in terms of business and technology maturity models, patterns, risk, reward and the path to business value. Start with data as an AI foundation Data quality is the first and most critical investment priority for any viable enterprise AI strategy.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90

BI-Survey

FEBRUARY 27, 2025

Advanced: Does it leverage AI/ML to enrich metadata by automatically linking glossary entries with data assets and performing semantic tagging? Leading-edge: Does it provide data quality or anomaly detection features to enrich metadata with quality metrics and insights, proactively identifying potential issues?

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52