CIO Business Intelligence

FEBRUARY 6, 2025

They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless. And guess what?

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

NOVEMBER 22, 2024

Soumya Seetharam, CDIO at Corning, said the manufacturer has been on its data journey for a few years, with more than 70% of its business transaction data being ingested into a data platform. But that’s only structured data, she emphasized.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

Analytics Vidhya

AUGUST 25, 2021

This article was published as a part of the Data Science Blogathon Introduction Let’s look at a practical example of how to make SQL queries to a MySQL server from Python code: CREATE, SELECT, UPDATE, JOIN, etc. Most applications interact with data in some form. Therefore, programming languages ??(Python

Interactive 291

Interactive Data Science Publishing Analytics 291

CIO Business Intelligence

JANUARY 9, 2025

GenAI as ubiquitous technology In the coming years, AI will evolve from an explicit, opaque tool with direct user interaction to a seamlessly integrated component in the feature set. Predictive insights: By analyzing historical data, LLMs can make predictions about future system states.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

datapine

MAY 27, 2020

It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. By using an online dashboard , you will be able to gain access to dynamic metrics and data in a way that’s digestible, actionable, and accurate.

Reporting 245

Reporting Analytics Dashboards Sales 245

Rocket-Powered Data Science

JULY 7, 2019

Chatbots cannot hold long, continuing human interaction. Traditionally they are text-based but audio and pictures can also be used for interaction. They provide more like an FAQ (Frequently Asked Questions) type of an interaction. NLG is a software process that transforms structured data into human-language content.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

AWS Big Data

DECEMBER 17, 2024

In addition, Amazon Redshift now supports incremental refresh support for materialized views on data lake tables to eliminate the need for recomputing the materialized view when new data arrives, simplifying how you build interactive applications on S3 data lakes.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

AWS Big Data

OCTOBER 14, 2024

Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes.

Metadata 105

Metadata Data Lake Modeling Data Warehouse 105

AWS Big Data

FEBRUARY 29, 2024

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. Grant the user role permissions for sensitive information and compliance policies.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. Data presentation has also come a long way since the Excel days.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

CIO Business Intelligence

MAY 10, 2022

Customer data platform defined. A customer data platform (CDP) is a prepackaged, unified customer database that pulls data from multiple sources to create customer profiles of structured data available to other marketing systems. Salesforce Interaction Studio. DMPs, however, use anonymized data.

Advertising 122

Advertising Interactive Marketing Structured Data 122

AWS Big Data

NOVEMBER 26, 2024

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. In Amazon S3 and AWS Glue, we can see our Hudi dataset and table along with the metadata folder.hoodie.

Metadata 105

Metadata Data Lake Snapshot Data Warehouse 105

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. Interactions give the “why.”

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data.

Data mining 144

Data mining Data-driven Statistics OLAP 144

AWS Big Data

MAY 28, 2024

For getting data from Amazon Redshift, we use the Anthropic Claude 2.0 To get data from Amazon OpenSearch Service, we chunk, and convert the source data chunks to vectors using Amazon Titan Text Embeddings model. For client interaction we use Agent Tools based on ReAct. This is unstructured data augmentation to the LLM.

Unstructured Data 119

Unstructured Data Data Warehouse Structured Data Testing 119

Juice Analytics

MARCH 27, 2021

Does your audience want the data to be interactive? Web-based Solutions for Automated Presentation Generation These options… Juicebox by Juice Analytics Juicebox is a web solution for creating interactive data-rich presentations. Replace or update your data for your entire presentation in seconds.

Reporting 122

Reporting Visualization Interactive Data-driven 122

CIO Business Intelligence

SEPTEMBER 20, 2023

And they won’t be able to interact with customers. 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. For now, at least. May I help you? That’s huge.”

Insurance 131

Insurance Unstructured Data Cost-Benefit Interactive 131

Smart Data Collective

SEPTEMBER 16, 2022

With decentralized finance, users will maintain control over their assets by interacting with the ecosystem through peer-to-peer, decentralized applications (dapps). Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second.

Finance 130

Finance Unstructured Data Cost-Benefit Big Data 130

Smart Data Collective

JANUARY 25, 2023

Instead of drawing in the sheer speed of production that we’re encountering, many businesses have moved into effective data management strategies. Of all of those tactics, storing structured data in databases is by far one of the most effective.

Strategy 120

Strategy Data Collection Interactive Management 120

datapine

APRIL 28, 2023

When we talk about correctly using data we mean understanding its properties, types, and conditions in which it should be used. This is especially important for programmers who need to build complex codes and interact with computer systems to do so. That is where data types come into play.

Data-driven 200

Data-driven Reporting Visualization Interactive 200

Cloudera

JUNE 11, 2024

Structured and Unstructured Data: A Treasure Trove of Insights Enterprise data encompasses a wide array of types, falling mainly into two categories: structured and unstructured. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. The Structured Query Language (SQL) becomes the standardized language for interacting with relational databases.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses. Building dashboards and widgets.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

FineReport

FEBRUARY 5, 2020

Overall, as users’ data sources become more extensive, their preferences for BI are changing. They prefer self-service development, interactive dashboards, and self-service data exploration. To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department.

Metadata 98

Metadata Dashboards Informatics Visualization 98

CIO Business Intelligence

MAY 24, 2022

It needs an enterprise data platform that can ingest raw data from its source and manage that data throughout its journey, a platform that incorporates analytic capabilities across hybrid and multi-cloud environments, and with the security and governance policies required for sensitive customer data.

Enterprise 98

Enterprise Cost-Benefit Structured Data Data-driven 98

Rocket-Powered Data Science

JULY 14, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

CIO Business Intelligence

MAY 10, 2024

Each service is broken down and then categorized by its own specific set of functions into a standardized interface, enabling those services to interact with and access one another. 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

Cloudera

DECEMBER 11, 2020

It established a data governance framework within its enterprise data lake. Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Sisense

JUNE 30, 2020

Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format. The role of visualizations in analytics.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

AWS Big Data

OCTOBER 18, 2023

Spark SQL is an Apache Spark module for structured data processing. They use various AWS analytics services, such as Amazon EMR, to enable their analysts and data scientists to apply advanced analytics techniques to interactively develop and test new surveillance patterns and improve investor protection.

Big Data 105

Big Data Data Processing Interactive Testing 105

CIO Business Intelligence

AUGUST 18, 2022

In the case of the Databricks Delta Lake lakehouse, structured data from a data warehouse is typically added to a data lake. To that, the lakehouse adds layers of optimization to make the data more broadly consumable for gathering insights. That’s how we got here.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Cloudera

NOVEMBER 15, 2021

In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else. The post The Rise of Unstructured Data appeared first on Cloudera Blog.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Timo Elliott

JANUARY 22, 2019

Traditional analytics focused on structured data flowing from operational systems. Newer analytic platforms have blended more unstructured data such as text, images, and raw sensor readings into analytic workflows. New experience analytics. Looking forward to 2020 and beyond.

Analytics 96

Analytics Machine Learning Unstructured Data Business Intelligence 96