Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 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

Astera

DECEMBER 21, 2022

A research study shows that businesses that engage in data-driven decision-making experience 5 to 6 percent growth in their productivity. These data extraction tools are now a necessity for majority organizations. Extract Data from Unstructured Documents with ReportMiner. What is Data Extraction?

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

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 Data Governance Business Intelligence 52

Astera

FEBRUARY 20, 2023

A single source of truth allows healthcare organizations to apply data mining techniques to effectively detect and prevent fraud. Data Integration Challenges in Healthcare Healthcare data wields enormous power, but the sheer volume and variety of this data pose various challenges.

Healthcare 52

Healthcare Data Warehouse Data Mining Data Quality 52

Astera

MAY 30, 2024

With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods. Data analytics has several components: Data Aggregation : Collecting data from various sources.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Data Pine

JANUARY 24, 2021

Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. Your choice of method should depend on the type of data you’ve collected, your team’s skills, and your resources. ETL data warehouse*.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

APRIL 27, 2023

Data extraction is the process of retrieving data from one or multiple sources to make the data more useful for further processing. These data sources can be structured or unstructured, including webpages, online sources, text files, documents, spreadsheets, images, maps, printed materials, voice and video recordings, and more.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52

Astera

APRIL 27, 2023

Data extraction is the process of retrieving data from one or multiple sources to make the data more useful for further processing. These data sources can be structured or unstructured, including webpages, online sources, text files, documents, spreadsheets, images, maps, printed materials, voice and video recordings, and more.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 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). Data Lakes. Srinivasan Sundararajan.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

The BAWorld

NOVEMBER 22, 2021

Online analytical processing is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or centralized data store. Irregularities and disorganization make it challenging to handle and work, making it more complex than structured data.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

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

The BAWorld

APRIL 27, 2021

It would be impossible to find any useful information from this raw data. But if we follow logical steps sequentially, we can better grasp the data and get valuable insights from this data mine. Each data analytics project follows standard measures to derive insights from data and make it useful for business. .

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52

Astera

AUGUST 28, 2024

Offers granular access control to maintain data integrity and regulatory compliance. Cons SAS Viya is one of the most expensive data analysis tools. Users find SAS documentation to be lacking, which complicates troubleshooting. Conducting a holistic analysis requires access to a consolidated data set.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

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.” These sit on top of data warehouses that are strictly governed by IT departments. Standalone is a thing of the past. Read carefully.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

NOVEMBER 7, 2023

The Challenges of Extracting Enterprise Data Currently, various use cases require data extraction from your OCA ERP, including data warehousing, data harmonization, feeding downstream systems for analytical or operational purposes, leveraging data mining, predictive analysis, and AI-driven or augmented BI disciplines.

IBM Maintenance 52

IBM Maintenance IBM Support Data Warehouse IBM cost 52