Juice Analytics

APRIL 6, 2021

With our book , resources and workshops, we’ve shared guidance about what it takes to become a data fluent organization. Most of all, it starts with cultural habits that get people focused on using data in their decision-making. Habit 2: Create a shared vocabulary for your data What is an “active user”?

Data Quality 132

Data Quality Data Visualization Documentation Project Management 132

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

CMW Lab Blog

NOVEMBER 9, 2023

In today’s digital age, the need for efficient document management is paramount. Businesses and organizations generate vast amounts of documents, from invoices and contracts to reports and emails. Managing these documents manually can be time-consuming, error-prone, and costly. What is a Document Management System (DMS)?

Documentation 52

Documentation Digital Artificial Intelligence Monitoring 52

Analysts Corner

NOVEMBER 24, 2022

Business analysts’ skills comprise both soft skills (facilitation skills, interpersonal, and consultative skills) as well as hard skills (for example, documentation skills, process modeling, requirements engineering, and stakeholder analysis).

Data Governance 130

Data Governance Business Analysis Business Analysis Government 130

Astera

APRIL 4, 2024

Data governance’s primary purpose is to ensure organizational data assets’ quality, integrity, security, and effective use. The key objectives of Data Governance include: Enhancing Clear Ownership: Assigning roles to ensure accountability and effective management of data assets.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

MindsMapped

JULY 18, 2020

The KPI workshop is where the analyst’s work with the business to understand what their business objectives are, and how the project we are about to commence fits into those objectives. Business Analysts and Business Analytics – Differences. Business Analyst.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46