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

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, outdated architecture and manual processes contribute to a silent erosion of trust in data. When financial data is inconsistent, reporting becomes unreliable. A compliance report is rejected because timestamps dont match across systems. Assign domain data stewards.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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

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

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

AWS Big Data

FEBRUARY 26, 2025

S3 Tables are specifically optimized for analytics workloads, resulting in up to 3 times faster query throughput and up to 10 times higher transactions per second compared to self-managed tables. These metadata tables are stored in S3 Tables, the new S3 storage offering optimized for tabular data.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

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

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” Both situations benefit from a technique that optimizes the search through a large and daunting solution space.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

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

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. erwin Data Modeler: Where the Magic Happens. CCPA vs. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

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

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

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. Multi-channel publishing of data services. How is Data Virtualization performance optimized?

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

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

JANUARY 30, 2024

In other words, generative AI can optimize learning by architecting personalized learning journeys for individual students. Today, many institutions are gridlocked because AI and generative AI have very different data and IT needs than traditional technology. This keeps students appropriately challenged and engaged.

Unstructured Data 114

Unstructured Data Data-driven Risk Technology 114

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

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

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

SEPTEMBER 30, 2024

“The interest in AI that began last year has turned into frenzy as organizations grow even more convinced of its potential to automate everything from business processes and decision-making to software development to creating written content,” Foundry writes in its 2024 CIO Tech Priorities report. His own company is one example.

Machine Learning 141

Machine Learning ROI Data Processing Optimization 141

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

datapine

DECEMBER 4, 2019

Nevertheless, predictive analytics has been steadily building itself into a true self-service capability used by business users that want to know what future holds and create more sustainable data-driven decision-making processes throughout business operations, and 2020 will bring more demand and usage of its features.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smart Data Collective

NOVEMBER 25, 2019

While traditional business intelligence usually focuses on working with data to optimize current processes and reduce waste, with predictive analytics, business intelligence analysts can help companies future-proof workflows and business processes. Natural Language Processing and Report Generation.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

JANUARY 20, 2023

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. Though experts agree on the difficulty of deploying new platforms across an enterprise, there are options for optimizing the value of AI and analytics projects. [2]

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

Cloudera

AUGUST 4, 2021

By capturing and analyzing this data, agencies can learn how external forces are affecting fleet operation, including everything from weather, terrain, and loading to operator actions such as hard acceleration or braking. images, video, text, spectral data) or other input such as thermographic or acoustic signals. .

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 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. NLP will account for $35.1 Putting NLP to Work.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

AWS Big Data

APRIL 25, 2024

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.

Optimization 72

Optimization Data Lake Cost-Benefit Reporting 72

Smart Data Collective

MARCH 24, 2020

Historically, the education system has accumulated a significant amount of data. At the stage of data collection, the development of regulatory measures to collect missing data from educational organizations to achieve representativeness of the sample. Fixation of the identified problems in the final report. Completion.

Big Data 121

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 121

AWS Big Data

SEPTEMBER 12, 2024

ZS unlocked new value from unstructured data for evidence generation leads by applying large language models (LLMs) and generative artificial intelligence (AI) to power advanced semantic search on evidence protocols. Clinical documents often contain a mix of structured and unstructured data.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

CIO Business Intelligence

OCTOBER 11, 2023

A recent report from CNBC 3 noted, “Most of the U.S. As a result, utilities can improve uptime for their customers while optimizing operations to keep costs low. Read about unstructured data storage solutions and find out how they can enable AI technology. electric grid was built in the 1960s and 1970s.

Unstructured Data 137

Unstructured Data Uncertainty Risk Data Processing 137

datapine

NOVEMBER 19, 2019

Internal comms: Computer vision technology can serve to improve internal communication by empowering employees to perform their tasks more visually, sharing image-based information that is often more digestible and engaging than text-based reports or information alone. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Sisense

JULY 23, 2021

We focus on the core games management systems, which generate a lot of key operational data, so we’ve been naturally a lot more inquisitive of those datasets. We are focused on unpicking them, really analyzing them to understand what they tell us about Games optimization.”. The results have been highly valuable.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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. The default output is log based.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

erwin

JUNE 26, 2020

For example, before users can effectively and meaningfully engage with robust business intelligence (BI) platforms, they must have a way to ensure that the most relevant, important and valuable data set are included in analysis. 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

JANUARY 22, 2024

According to a recent analysis by EXL, a leading data analytics and digital solutions company, healthcare organizations that embrace generative AI will dramatically lower administration costs, significantly reduce provider abrasion, and improve member satisfaction. Learn more about how EXL can put generative AI to work for your business here.

Cost-Benefit 105

Cost-Benefit Digital Transformation Data-driven Unstructured Data 105