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.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Corinium

APRIL 9, 2019

Download the Report. The Big Data revolution has been surprisingly rapid. Even five years ago many companies were still asking the question, “What is Big Data?”

Unstructured Data 150

Unstructured Data Data Lake Big Data Data Collection 150

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

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

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

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Datasphere manages and integrates structured, semi-structured, and unstructured data types.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

Analytics Vidhya

APRIL 26, 2023

Introduction Document information extraction involves using computer algorithms to extract structured data (like employee name, address, designation, phone number, etc.) from unstructured or semi-structured documents, such as reports, emails, and web pages.

Structured Data 306

Structured Data Visualization Reporting Analytics 306

CIO Business Intelligence

DECEMBER 19, 2023

The analyst reports tell CIOs that generative AI should occupy the top slot on their digital transformation priorities in the coming year. Moreover, the CEOs and boards that CIOs report to don’t want to be left behind by generative AI, and many employees want to experiment with the latest generative AI capabilities in their workflows.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Rocket-Powered Data Science

MAY 21, 2024

live data consumption) or real-time adaptation to changing business conditions. And also in the past, it was sufficient for AI to be relegated to academic researchers or R&D departments of big organizations who mostly produced research reports or journal papers, and not much else.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

Smart Data Collective

OCTOBER 27, 2021

The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights.

Interactive 130

Interactive Analytics Unstructured Data Data Warehouse 130

Smart Data Collective

AUGUST 28, 2021

Usually, business or data analysts need to extract insights for reporting purposes, so data warehouses are more suitable for them. On the other hand, a data scientist may require access to unstructured data to detect patterns or build a deep learning model, which means that a data lake is a perfect fit for them.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Structured Data 140

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. Because a huge amount of data existed in a company’s mainframe computer (particularly data related to profits, costs, revenue, etc.),

Dashboards 316

Dashboards KPI Sales Visualization 316

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

CIO Business Intelligence

OCTOBER 8, 2024

There’s a constant risk of data science projects failing by (for example) arriving at an insight that managers already figured out by hook or by crook—or correctly finding an insight that isn’t a business priority. And some of the biggest challenges to making the most of it are well-suited to the skills and mindset of data scientists.

Unstructured Data 117

Unstructured Data Data Science Uncertainty Sales 117

AWS Big Data

FEBRUARY 26, 2025

We have embarked on a journey to unify the broad range of AWS data processing, analytics, and AI capabilities, starting with the announcement of Amazon SageMaker Unified Studio at re:Invent 2024. This includes the data integration capabilities mentioned above, with support for both structured and unstructured data.

Data Integration 82

Data Integration Data Lake Data Warehouse Unstructured Data 82

CIO Business Intelligence

NOVEMBER 21, 2022

In our most recent Rocket survey, 46% of IT professionals indicate that at least half of their content is “dark data”— meaning it’s processed but never used. A big reason for the proliferation of dark data is the amount of unstructured data within business operations.

Software 98

Software Management Unstructured Data Data Governance 98

CDW Research Hub

AUGUST 17, 2020

If you need scalable storage units for unstructured data, this is where object storage wins. Object storage manages data as objects rather than the hierarchical system that we know as file storage. Examples of object storage are large sets of historical data, and unstructured data such as music, images and video.

Unstructured Data 97

Unstructured Data Metadata Manufacturing Enterprise 97

CIO Business Intelligence

JUNE 18, 2024

The use of gen AI with ERP systems is still in its early days, but the combination is expected to provide several benefits, including helping employees create specialized ERP functionality on their own through code wizards, says Liz Herbert, a Forrester analyst and lead author of the report, “ How Generative AI Will Transform ERP.”

Enterprise 134

Enterprise Forecasting Unstructured Data Reporting 134

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. Many users also report its power in constructed-in capabilities and libraries, data manipulation, and reporting.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Jet Global

NOVEMBER 5, 2020

Reporting will change in D365 F&SCM, and those changes could significantly increase complexity and total cost of ownership. To enhance security, Microsoft has decided to restrict that kind of direct database access in D365 F&SCM and replace it with an abstraction layer comprised of something called “data entities”.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

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

Smart Data Collective

JUNE 10, 2022

The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. You would transform and manipulate large data sets to meet the desired analysis for businesses, working as a data analyst. Enterprise Architect.

Data Science 144

Data Science Machine Learning Statistics Business Intelligence 144

CIO Business Intelligence

JANUARY 30, 2024

Today, many institutions are gridlocked because AI and generative AI have very different data and IT needs than traditional technology. Users must get the right kind of storage infrastructure to handle AI workloads and process unstructured data in real-time.

Unstructured Data 114

Unstructured Data Data-driven Risk Technology 114

Smart Data Collective

NOVEMBER 16, 2021

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

Analytics 133

Analytics Unstructured Data Data Collection Software 133

CIO Business Intelligence

OCTOBER 2, 2024

Yet, despite years of investment in varied solutions, many companies still need help to enable their people and partners to connect disparate data sources and effectively collaborate in fully compliant spaces, let alone incorporate AI. Will it provide the flexibility needed to work with that variety of data in any required or desired way?

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. They can also optimize their time if they don’t have to reinvent a report.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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. Before the self-service approach in BI, companies needed to hire an IT or data science team to perform complex analysis and export data reports.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

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

datapine

JUNE 9, 2022

That said, it hasn’t always been that easy for businesses to manage the huge amounts of unstructured data coming from various sources. Paired to that, the lack of users with technical skills has delayed the generation of reports to even weeks. With monitoring reports, this is not an issue.

Dashboards 143

Dashboards Metrics Visualization Sales 143

CIO Business Intelligence

MARCH 6, 2024

Integrating gen AI In addition to governance, SAP also announced it integrated SAP SAC, the company’s business intelligence and planning solution, with its generative AI copilot, Joule, enabling it to automate the creation and development of reports, dashboards, plans, and more.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

Cloudera

APRIL 1, 2024

This recognition is a testament to our vision and ability as a strategic partner to deliver an open and interoperable Cloud data platform, with the flexibility to use the best fit data services and low code, no code Generative AI infused practitioner tools.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

erwin

JANUARY 9, 2020

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. New ODBC query tool for creating and running custom model and metadata reports.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 104

Unstructured Data Data Warehouse Structured Data Testing 104

CIO Business Intelligence

MAY 10, 2024

Data from the Dice 2024 Tech Salary Report shows that, for certain IT skills, organizations are willing to pay more to hire experts than IT pros with strong competence. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

IT 130

IT Unstructured Data Software Reporting 130

CIO Business Intelligence

SEPTEMBER 12, 2024

While some enterprises are already reporting AI-driven growth, the complexities of data strategy are proving a big stumbling block for many other businesses. This needs to work across both structured and unstructured data, including data held in physical documents.

ROI 110

ROI Cost-Benefit Unstructured Data Metadata 110

AWS Big Data

FEBRUARY 26, 2025

Additional resources: Solve complex problems with new scenario analysis capability in Amazon Q in QuickSight Amazon QuickSight now supports prompted reports and reader scheduling for pixel-perfect reports We are enabling QuickSight readers to generate filtered views of pixel-perfect reports and create schedules to deliver reports through email.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

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