DataKitchen

SEPTEMBER 21, 2023

There are multiple locations where problems can happen in a data and analytic system. What is Data in Use? Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

FineReport

MAY 13, 2020

And, with Tableau Public, published workbooks are “disconnected” from the underlying data sources and require periodic updates when the data changes. Birt is an open-source Eclipse-based business intelligence platform for small businesses. It allows users to ask questions about data. From Google.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

CIO Business Intelligence

MAY 10, 2022

By applying machine learning to the data, you can better predict customer behavior. Gartner has identified four main types of CDPs: marketing cloud CDPs, CDP engines and toolkits, marketing data-integration CDPs, and CDP smart hubs. Treasure Data CDP. Types of CDPs. billion in November 2020.

Advertising 122

Advertising Interactive Marketing Data Integration 122

AWS Big Data

JANUARY 25, 2023

An AWS Glue crawler populates the AWS Glue Data Catalog with the data schema definitions (in a landing folder). AWS Glue is a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, ML, and application development.

Visualization 77

Visualization Interactive Modeling Machine Learning 77

Cloudera

NOVEMBER 2, 2020

These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration. But an important caveat is that ingest speed, semantic richness for developers, data freshness, and query latency are paramount.

Data Warehouse 97

Data Warehouse Optimization Dashboards Interactive 97

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Grasping the digital opportunity.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

JUNE 5, 2024

We were the go-to guys for any ML or predictive modeling at that time, but looking back it was very primitive.” “How do you maintain a single source of truth effectively if you have multiple people working on the same copy of a spreadsheet?” How do you know which version is the real one?

Optimization 120

Optimization Predictive Modeling Data-driven Modeling 120

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52