Astera

FEBRUARY 28, 2024

It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights. Data marts : Data marts (also called information marts ) are tailored subsets of the data warehouse designed for specific business units, functions, or applications.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Dimension tables provide additional context to this information.

Agile 52

Agile Data Warehouse Data Quality Government 52

Data Pine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Today, big data is about business disruption. This quote might sound a little dramatic.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Watermark Learning

OCTOBER 3, 2023

A post from the Watermark Learning Project Brief Blog. A Business Analyst (BA) employs their skill sets to bring business value. It also has a list of 50 techniques that ensure consistency and effectiveness in the application of business analysis, which is the topic of today’s article What is the BABOK® Guide?

Process Modelling 86

Process Modelling Business Analysis Business Analysis Visualization 86

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. “Data is what you need to do analytics.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Astera

JULY 13, 2023

By cleaning, organizing, and transforming your information, data wrangling ensures that your data is high-quality and reliable, setting you up for success in analysis and decision-making. This can involve anything from correcting errors and filling in missing values to reformatting data to make it more easily digestible.

Artificial Intelligence 40

Artificial Intelligence Data Analytics Data Analytics Data Mining 40

Astera

FEBRUARY 27, 2024

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 access tools : Data access tools let you dive into the data warehouse and data marts.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Marutitech

DECEMBER 17, 2021

Predicting future events gives organizations the advantage to understand their customers and their business with a better approach. Identifying the best predictive analytics model for your business is a crucial part of business strategy. For example, you wish to reduce the customer churn for your business.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

The BAWorld

NOVEMBER 26, 2021

Like a detective, we dig deep into piles of data to find clues that will aid the actual data analysis. In this blog, I have shared my understanding of the exploratory data analysis steps and tried to catch hold of as many insights from the data set using EDA. EDA techniques reveal the true nature of the data.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

Data Pine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

The BAWorld

NOVEMBER 26, 2021

Like a detective, we dig deep into piles of data in order to find clues that will aid the actual data analysis. so, In this blog, I have shared my understanding of the exploratory data analysis steps and tried to catch hold of as many insights from the data set using EDA. Get insights into the data summary.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

Data Pine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Also, see data visualization. Data Analytics. Data Cleaning. Conceptual Data Model. Logical Data Model : It is an abstraction of CDM.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

DECEMBER 28, 2021

Statistical analyses have historically been a stalwart of the high-tech and advanced business industries, and today they are more important than ever. With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. We apologize.

Digital 145

Digital Healthcare Data Visualization Data Mining 145

Data Pine

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 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144