Bridging the Gap

NOVEMBER 2, 2023

When I got to Module 3, which was the data modeling , that was a little bit challenging for me because I had to juggle more time with allowing more time to commit to the actual workbook as well as not having an impact on my work schedule. I would say for me, data modeling, the third module in the course, was completely new to me.

Business Analysis 52

Business Analysis Business Analysis Process Analysis Documentation 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Argon Digital

AUGUST 4, 2022

Creating a Business Data Diagram. I found the exercise of creating a Data Flow Diagram for a block walk/canvass so interesting that I decided to play with the same use case to create another data model, the Business Data Diagram (BDD). The BDD is one of the most important and useful models we use.

Banking 52

Banking Documentation Visualization Data Modelling 52

Argon Digital

AUGUST 4, 2022

I found the exercise of creating a Data Flow Diagram for a block walk/canvass so interesting that I decided to play with the same use case to create another data model, the Business Data Diagram (BDD). The BDD is one of the most important and useful models we use. Next Step - Requirements!

Banking 52

Banking Documentation Visualization Data Modelling 52

The BAWorld

NOVEMBER 22, 2021

It combines high performance and ease of use to let end users derive insights based on their requirements. For example, some users might prefer sales information at the state level, while some may want to drill down to individual store sales details. Also, see data visualization. Data Analytics. Data Modeling.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Cprime

MAY 4, 2023

The average company also uses dozens of apps and filing systems to generate, analyze, and store that data, often making it hard to gain value from it. Data integration merges the data from disparate systems, enabling a full view of all the information flowing through an organization and revealing a wealth of valuable business insights.

Data Warehouse 52

Data Warehouse Big Data Finance Data Quality 52

Astera

APRIL 24, 2024

As data variety and volumes grow, extracting insights from data has become increasingly formidable. Processing this information is beyond traditional data processing tools. Automated data aggregation tools offer a spectrum of capabilities that can overcome these challenges.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Insight Software

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52