Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

datapine

MAY 27, 2020

In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. Try our professional reporting software for 14 days, completely free! How To Write An Analytical Report?

Reporting 245

Reporting Analytics Dashboards Sales 245

CIO Business Intelligence

MARCH 21, 2022

The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools.

Data Lake 96

Data Lake Data Warehouse Optimization Testing 96

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems vs. business intelligence DSS and business intelligence (BI) are often conflated. Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. Some experts consider BI a successor to DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

DECEMBER 14, 2023

Artificial Intelligence, Business Intelligence and Analytics Software, CRM Systems, Databases, Enterprise Applications The Einstein Copilot Search capability can also be paired with retrieval augmented generation (RAG) tools — which Salesforce supplies — in order to enable Einstein Copilot to answer customer questions.

Unstructured Data 116

Unstructured Data Structured Data Enterprise Business Intelligence 116

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 practice, OTFs are used in a broad range of analytical workloads, from business intelligence to machine learning.

Metadata 95

Metadata Data Lake Snapshot Data Warehouse 95

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

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Metrics Cost-Benefit 40

AWS Big Data

JANUARY 15, 2025

In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone , to make data discoverable by data consumers across different business units so that they can innovate faster. This agility accelerates EUROGATEs insight generation, keeping decision-making aligned with current data.

IoT 100

IoT Machine Learning Metadata Data-driven 100

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). That’s how we got here.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

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

JUNE 13, 2024

A data analyst might help an organization better understand how its customers use its product in the present moment — what works and doesn’t work for them, whereas a data scientist might use the insights generated from that work to help design a new product that anticipates future customer needs.

Data-driven 98

Data-driven Statistics Business Intelligence Data Collection 98

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

JANUARY 9, 2025

Predictive insights: By analyzing historical data, LLMs can make predictions about future system states. Structured outputs: In addition to reports in natural language, LLMs can also output structured data (such as JSON). This enables proactive maintenance and helps prevent potential failures.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). 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

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

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

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. From there, business intelligence and insight will become a breeze.

Strategy 120

Strategy Data Collection Interactive Management 120

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

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

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

CDW Research Hub

JULY 22, 2019

These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake. With Snowflake, you can store, transform and analyze structured and semi-structured data together.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data-driven 54

CIO Business Intelligence

MARCH 24, 2023

To help understand what a framework should cover, DAMA envisions data management as a wheel, with data governance as the hub from which the following 10 data management knowledge areas radiate: Data architecture : The overall structure of data and data-related resources as an integral part of the enterprise architecture Data modeling and design: Analysis, (..)

Data Governance 142

Data Governance Management Metadata Data Quality 142

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

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 99

Data Warehouse Data Lake Cost-Benefit Structured Data 99

Octopai

JUNE 26, 2020

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” Why aren’t the numbers in these reports matching up? Automated metadata governance.

Metadata 98

Metadata Data Governance Enterprise Reporting 98

Analytics Vidhya

JUNE 11, 2020

The post Build your own Animated Data Visualization in Tableau in Just 5 Minutes appeared first on Analytics Vidhya. Overview Animated visualizations are a work of art and are really easy to create in Tableau We’ll work with open-source datasets here and create.

Visualization 280

Visualization Analytics Structured Data Business Analytics 280

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

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.

Advertising 122

Advertising Interactive Marketing Structured Data 122

CIO Business Intelligence

MAY 24, 2022

Its highly scalable, real-time streaming analytics engine that ingests, curates, and analyses data for key insights and immediate actionable intelligence. CDP has a real-time, scalable database that creates a unified platform embracing traditional structured data, unstructured and semi-structured data.

Enterprise 98

Enterprise Cost-Benefit Structured Data Data-driven 98

AWS Big Data

JUNE 19, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Data Warehouse 102

Data Warehouse Testing Sales Structured Data 102

Analytics Vidhya

APRIL 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. This article helps in understanding the importance of data. The post Guide to Data Visualization and Insights appeared first on Analytics Vidhya.

Visualization 271

Visualization Data Science Publishing Analytics 271

Analytics Vidhya

APRIL 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Learn how to get insights from Azure SQL Database: A sample data analytics project using Global Peace Index data appeared first on Analytics Vidhya. Introduction Are you passionate about the empirical investigation to find.

Data Analytics 271

Data Analytics Analytics Data Science Publishing 271

Sisense

APRIL 26, 2020

Structured vs unstructured data. Structured data is far easier for programs to understand, while unstructured data poses a greater challenge. However, both types of data play an important role in data analysis. Structured data. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

OCTOBER 30, 2023

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 is often not AI-ready, yet it holds some of the greatest value for organizations.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

CIO Business Intelligence

APRIL 4, 2024

“Make sure the data you have is discoverable by AI systems, which might mean building an enriched catalog using generative AI or using it to build an ontology on top of structured data,” he says. “In In many instances, it’s a significant improvement in productivity when using AI to streamline these workloads.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134