BizAcuity

JANUARY 31, 2023

The three components of Business Intelligence are: Data Strategy:a clearly defined plan of action that outlines how an organization will collect, store, process, and use data in order to achieve specific goals. Data governance and security measures are critical components of data strategy.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. It provides reporting including web-based reports and dashboards, data integration tools and data visualization.

Visualization 100

Visualization Data Visualization Agile Business Intelligence 100

BizAcuity

NOVEMBER 8, 2019

Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. It provides reporting including web-based reports and dashboards, data integration tools and data visualization.

Visualization 100

Visualization Data Visualization Agile Business Intelligence 100

Astera

NOVEMBER 27, 2023

It includes format checks, range checks, and consistency checks to ensure data is clean, correct, and logically consistent. Understanding the Difference: Data Profiling vs. Data Mining Data profiling and data mining are two distinct processes with different objectives and methodologies.

Data Mining 52

Data Mining Data Quality Business Intelligence Business Intelligence 52

GAVS Technology

JUNE 2, 2021

In the recently announced Technology Trends in Data Management, Gartner has introduced the concept of “Data Fabric”. Here is the link to the document, Top Trends in Data and Analytics for 2021: Data Fabric Is the Foundation (gartner.com). What is Data Fabric? Data Virtualization. Data Lakes.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Business Analysis Knowledge Share

MARCH 15, 2023

Let’s understand what a Data warehouse is and talk through some key concepts Datawarehouse Concepts for Business Analysis Data warehousing is a process of collecting, storing and managing data from various sources to support business decision making. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Data Pine

MARCH 25, 2019

What Is A Data Analysis Method? Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Harvest your data.

Big Data 87

Big Data Visualization Data Analytics Data Analytics 87

GAVS Technology

JANUARY 7, 2021

The model of expense sharing between the HIE, data producers, data consumers will be difficult and needs to have a strong governance model. Difficult to establish common standards in terms of data formats and APIs across multiple hospitals, this may result in each hospital having their own methods.

Healthcare 52

Healthcare Data Modelling Data Mining Government 52

GAVS Technology

FEBRUARY 3, 2021

The respective governments are going through rigorous testing and approval processes to roll out vaccines soon. He is currently focused on Healthcare Data Management Solutions for the post-pandemic Healthcare era, using the combination of Multi Modal databases, Blockchain and Data Mining. Srinivasan Sundararajan.

Supply Chain 52

Supply Chain Pharmaceutical Healthcare Data Mining 52

Astera

JANUARY 23, 2024

Information marts enable analytics teams to leverage historical data for analysis by accessing the full history of changes and transactions stored in the data vault. This allows them to perform time-series analysis, trend analysis, data mining, and predictive analytics.

Agile 52

Agile Data Warehouse Data Quality Government 52

GAVS Technology

AUGUST 5, 2021

These could be locations like large retail chain stores, workplaces of large enterprises, government facilities and more. He is currently focused on Healthcare Data Management Solutions for the post-pandemic Healthcare era, using the combination of Multi-Modal databases, Blockchain, and Data Mining.

Healthcare 52

Healthcare Monitoring Data Mining Documentation 52

Astera

FEBRUARY 27, 2024

Data access tools : Data access tools let you dive into the data warehouse and data marts. We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. How Does a Data Warehouse Work? Why Do Businesses Need a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

Data access tools : Data access tools let you dive into the data warehouse and data marts. We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. How Does a Data Warehouse Work? Why Do Businesses Need a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 28, 2024

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. Impact: Accelerate your data modeling process, promoting agility in adapting to evolving business requirements.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Data Pine

JANUARY 24, 2021

Methods like artificial neural networks (ANN) and autoregressive integrated moving average (ARIMA), time series, seasonal naïve approach, and data mining find wide application in data analytics nowadays. Your choice of method should depend on the type of data you’ve collected, your team’s skills, and your resources.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

AUGUST 5, 2024

” It helps organizations monitor key metrics, create reports, and visualize data through dashboards to support day-to-day decision-making. It uses advanced methods such as data mining, statistical modeling, and machine learning to dig deeper into data.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Data Pine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Insight Software

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Content creators want a managed experience where they can query governed data sources, create dashboards and reports, and share what they’ve created with colleagues.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52