Sisense

APRIL 26, 2020

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

JULY 16, 2024

The second is “Where is this data?” Let’s explore some of the common data types that present challenges – and how to solve them for AI. Structured data Structured data is often the first type of data that comes to mind when people think about databases.

Unstructured Data 105

Unstructured Data Structured Data Machine Learning Enterprise 105

CIO Business Intelligence

OCTOBER 30, 2023

This infrastructure must be suited to handle extreme data growth, especially with unstructured data. An estimated 90% of the global datasphere is comprised of unstructured data 1. And it’s growing rapidly, estimated at 55-65% 2 year-over-year and three times faster than structured data.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

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. It will not be something they can ignore.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

AWS Big Data

NOVEMBER 26, 2024

Data architecture has evolved significantly to handle growing data volumes and diverse workloads. Initially, data warehouses were the go-to solution for structured data and analytical workloads but were limited by proprietary storage formats and their inability to handle unstructured data.

Metadata 95

Metadata Data Lake Snapshot Data Warehouse 95

CIO Business Intelligence

JANUARY 9, 2025

In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines. The extensive pre-trained knowledge of the LLMs enables them to effectively process and interpret even unstructured data. This enables proactive maintenance and helps prevent potential failures.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

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

CIO Business Intelligence

OCTOBER 19, 2023

Enterprises can harness the power of continuous information flow by lessening the gap between traditional architecture and dynamic data streams. Unstructured data formatting issues Increasing data volume gets more challenging because it has large volumes of unstructured data.

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

CIO Business Intelligence

SEPTEMBER 19, 2024

Alation also works with structured and semi-structured data, as well as some unstructured data living inside of file stores, Sangani said, and will leverage what metadata it can find, but it does not, for example, go into video files and generate metadata about their contents.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

CIO Business Intelligence

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). Under Guadagno, the Deerfield, Ill. That’s how we got here.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

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

CIO Business Intelligence

AUGUST 21, 2024

By applying artificial intelligence capabilities, IDP enables companies to automate the processing of virtually any type of content, from paper, emails and PDFs to forms, images, and Word documents. Gartner estimates unstructured content makes up 80% to 90% of all new data and is growing three times faster than structured data 1.

Insurance 122

Insurance Unstructured Data Structured Data Enterprise 122

CIO Business Intelligence

FEBRUARY 20, 2024

Data remains siloed in facilities, departments, and systems –and between IT and OT networks (according to a report by The Manufacturer , just 23% of businesses have achieved more than a basic level of IT and OT convergence). Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

SEPTEMBER 20, 2023

One of the most exciting aspects of generative AI for organizations is its capacity for putting unstructured data to work, quickly culling information that thus far has been elusive through traditional machine learning techniques. So much of that is hidden away in the chat history, not all the rows and columns of structured data.

Insurance 131

Insurance Unstructured Data Cost-Benefit Interactive 131

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

OCTOBER 2, 2024

A “state-of-the-art” data and analytics enablement platform can vastly improve identity resolution, helping to prevent fraud. Ideally, it will link structured data like traditional offline identities with unstructured data, including behavioral information, device properties, and other factors.

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

Octopai

FEBRUARY 8, 2020

What Goes into a BI Intelligence Platform? . These three elements are hugely important for business intelligence to be able to work properly: 1. A business glossary unites the organization and ensures each term represents the same idea across the enterprise. Then add discovery, and you’ve got super BI powers.

Metadata 90

Metadata Key Performance Indicator Unstructured Data Business Intelligence 90

CIO Business Intelligence

NOVEMBER 20, 2023

Further, AI-powered natural language processing can assist in the organization and capture of written and verbal patient medical records, reducing the administrative load on healthcare providers and creating a structured data approach that can be used to identify trends and facilitate discoveries. View the TGen customer case study.

Cost-Benefit 132

Cost-Benefit Unstructured Data Structured Data Modeling 132

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

Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

Analytics 96

Analytics Machine Learning Unstructured Data Business Intelligence 96

FineReport

FEBRUARY 5, 2020

Nowadays, the business intelligence market is heating up. Both the investment community and the IT circle are paying close attention to big data and business intelligence. Overall, as users’ data sources become more extensive, their preferences for BI are changing. In the end.

Metadata 98

Metadata Dashboards Informatics Visualization 98

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

CIO Business Intelligence

MAY 10, 2024

Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets. Introduced in the late 1990s as the Big Data era emerged, NoSQL remains a key way for organizations to handle large swaths of data.

IT 130

IT Unstructured Data Software Reporting 130

CIO Business Intelligence

APRIL 25, 2024

Zero-copy integration eliminates the need for manual data movement, preserving data lineage and enabling centralized control fat the data source. Currently, Data Cloud leverages live SQL queries to access data from external data platforms via zero copy. Ground generative AI.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

CIO Business Intelligence

MARCH 29, 2024

As such, paramount to Rocket’s AI push is the creation of a modern data platform that incorporates 10,000 terabytes of data stored in on-prem data warehouses for more than a decade and semi-structured data stored in an AWS cloud lake.

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

AWS Big Data

FEBRUARY 26, 2025

Data analysts and scientists can seamlessly access and analyze governed data in Amazon DataZone using a standard JDBC connection with their preferred tools. With the QuickSight integration, you can now link your structured sources to Amazon Q Business through the extensive set of data source connectors available in QuickSight.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

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 98

Statistics Unstructured Data Data-driven Visualization 98

Smarten

AUGUST 23, 2023

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

CIO Business Intelligence

JUNE 28, 2022

And then there is the rise of privacy concerns around so much data being collected in the first place. Following are some of the dark secrets that make data management such a challenge for so many enterprises. Unstructured data is difficult to analyze. Even structured data is often unstructured.

Management 138

Management Internet of Things Statistics Data-driven 138

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

JUNE 14, 2023

How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

FineReport

DECEMBER 27, 2021

Modern enterprise business intelligence (BI) tools and practices enable quick decision making. Indeed, Early action on insights allows businesses to identify internal trends and improve inefficiencies. Furthermore, It is important to note that the advantages of business intelligence vary by industry and application.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

Sisense

MAY 11, 2021

We’re going to nerd out for a minute and dig into the evolving architecture of Sisense to illustrate some elements of the data modeling process: Historically, the data modeling process that Sisense recommended was to structure data mainly to support the BI and analytics capabilities/users. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform. “We

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52