Data & BI3- Page

Data Scientist: Role and impact Data scientists sit at the intersection of statistics, machine learning, and business strategy. Their core mission is to transform data into actionable insights that drive

Overview: Why Supply Chain Dashboards Matter In modern logistics and operations, visibility is the backbone of proactive decision making. A well-designed dashboard aggregates data from procurement, inventory, warehousing, transportation, and

Introduction In modern data-driven organizations, the way we design data relates directly to how effectively we can extract insight, scale systems, and govern information. Two foundational viewpoints shape these design

What is Data Processing? Data processing refers to the end-to-end set of operations that turn raw data into a structured, usable form. It encompasses collecting data from source systems, validating

Executive overview of predictive analytics in utilities asset management Utilities face aging assets, rising demand, and capital constraints that challenge reliability and cost efficiency. Predictive analytics provides a data-driven approach

Overview and Context In the data analytics discipline, two modeling paradigms dominate: relational data modeling used for transactional systems, and dimensional modeling used for analytics and reporting in data warehouses

What is a Data Lake A data lake is a centralized repository designed to store vast amounts of raw data in its native formats, from structured tables to unstructured files

Overview: positioning, target users, and the analytics philosophy Looker and Sisense occupy adjacent spaces in the business intelligence market—both aim to democratize data, accelerate insight, and embed analytics within business

AI-Driven Data Analytics: An Executive Overview Across industries, AI-driven data analytics is redefining how leaders interpret signals from data, accelerate decision cycles, and scale insights across departments. Organizations are moving

Overview of Tableau alternatives Organizations increasingly evaluate alternatives to Tableau to align business intelligence capabilities with evolving data strategies, governance requirements, and cost considerations. The BI tool landscape today emphasizes