ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. But, before your organization selects and deploys a solution, there are numerous important considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Choosing and implementing a solution for advanced analytics and augmented data discovery is not as simple as buying team t-shirts for your company baseball team. But, before your organization selects and deploys a solution, there are numerous important considerations.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

The BAWorld

NOVEMBER 20, 2024

Here’s a brief comparison: Tableau: For data visualization specialists, Tableau is more preferred. QlikView: Provides powerful data discovery and analytics capabilities but is not as user-friendly as Power BI Looker: Mainly data exploration and, for companies already invested in Google’s ecosystem, makes even more sense.

Supply Chain 52

Supply Chain Pharmaceutical Healthcare Real-time Data 52

Sisense

APRIL 15, 2021

Team members with data skills including SQL, Python, R, and other prototyping methodologies can work directly to enhance analytics modeling platforms like Sisense. In other words, data experts can dovetail their coding skills with AI functionality to produce more sophisticated and more accurate models.

Artificial Intelligence 98

Artificial Intelligence Data Modelling Cloud Computing Data Discovery 98

Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Tableau

MAY 11, 2022

Data refresh failure detection that flags the issue to data users for mitigation and downstream consumers. Data modeling for every data source created in Tableau that shows how to query data in connected database tables and how to include a logical (semantic) layer and a physical layer.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Sisense

OCTOBER 28, 2019

Traditionally, these are the people who spend their days sourcing and managing the data pipeline, governance and security, customization, deployment, integration, automation, data discovery, calculations, reporting, and visualizations. These could be data engineers, developers, or analysts.

Healthcare 63

Healthcare Embedded Analytics Data Discovery Government 63

Insight Software

NOVEMBER 20, 2023

But these approaches will only ever yield modest improvements – particularly for the most critical data in your business – your ERP data. In order to do this, you need a business data model that abstracts the complexity of the underlying ERP data schema into user-friendly business terms.

Business Intelligence 52

Business Intelligence Business Intelligence IBM Support IBM cost 52

Astera

FEBRUARY 28, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

MARCH 28, 2024

While a data catalog serves as a centralized inventory of metadata, a data dictionary focuses on defining data elements and attributes, describing their meaning, format, and usage. The former offers a comprehensive view of an organization’s data assets. Are the benefits just limited to data analysts?

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Dataversity

FEBRUARY 19, 2021

Enterprises are modernizing their data platforms and associated tool-sets to serve the fast needs of data practitioners, including data scientists, data analysts, business intelligence and reporting analysts, and self-service-embracing business and technology personnel. Click to learn more about author Tejasvi Addagada.

Business Intelligence 147

Business Intelligence Business Intelligence Data Discovery Data Modelling 147

Astera

MAY 30, 2024

Variability: The inconsistency of data over time, which can affect the accuracy of data models and analyses. This includes changes in data meaning, data usage patterns, and context. Visualization: The ability to represent data visually, making it easier to understand, interpret, and derive insights.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

APRIL 24, 2024

Builds a Unified Data Language A common business language and data quality rules help everyone in the organization understand data terms and standards similarly. This approach avoids confusion and errors in data management and use, making communication across the company more straightforward.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

AUGUST 28, 2024

Pros Robust integration with other Microsoft applications and services Support for advanced analytics techniques like automated machine learning (AutoML) and predictive modeling Microsoft offers a free version with basic features and scalable pricing options to suit organizational needs. Offers a limited experience with Mac OS.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Astera

JANUARY 12, 2024

It was developed by Dan Linstedt and has gained popularity as a method for building scalable, adaptable, and maintainable data warehouses. Requires domain-specific security considerations to safeguard data. Discoverability Centralized metadata management simplifies data discoverability.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

New data discovery solutions now offer business analysts something better than Microsoft Excel—with minimal dependency on IT resources. It is organized to create a top-down model that is used for analysis and reporting. Tradition BI has been a popular way for large businesses to launch their data analytics.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

OCTOBER 24, 2022

As cloud computing has advanced in popularity, data discovery applications have evolved rapidly to handle very large datasets, offering graphically rich displays such as heat maps, pie charts, and geographical maps alongside pivot tables for multi-dimensional analysis. Download Now. The Better Approach: Embedded Analytics.

IBM Support 52

IBM Support IBM Maintenance Embedded Analytics IBM Expert 52

Insight Software

APRIL 12, 2024

This intuitive approach cuts through technical barriers, transforming even non-technical users into data-savvy decision makers. Advanced Analytics Functionality to Unveil Hidden Insights Logi Symphony allows you to perform on-the-fly data modeling to swiftly adapt and integrate complex datasets directly within your existing applications.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance Predictive Analytics 52