With today's technologies, millions of data are produced every day. People, companies, sensors, and electronic devices generate data continuously. Without analysis, this data is known as raw data which has no meaning, no guidance, and noneffective.
The data evolve into valuable information by using data analysis methods, data cleaning, and transformation processes. In light of this information, Business Intelligence and Decision Support Systems are to guide company executives.
The future can be driven using data analysis and interpretation. Here we are, to move you forward!
About SmartBI Tech
SmartBI Tech is a Data Engineering & Analytics Consultancy company providing smart and dynamic solutions in Azure Cloud, Business Intelligence, and Data related technologies. The company has been established in London, 2019. SmartBI Tech has completed many projects successfully for clients. Business ethics, honesty, and customer happiness are our top priorities.
Key Services
Cloud computing offers an on-demand system without dealing with infrastructure and management. It's rapidly growing and helps people to achieve their aim.
Main reasons for using Cloud
Data Engineering is to provide data through a built pipeline from one point to another. In these pipelines, data transform into more cleaner and more usable format. All different kinds of data collect from source systems and ingest into the staging layer. Data Engineers complete cleaning and transformation operations in staging area. Then, the data push through the modeling layer for analysis and design. As a result of these operations, data is ready to consume for many different purposes.
After designing data model, data is consumed by end users. Power users create their own reports and dashboards as a self-service business intelligence concept using many reporting tools. SmartBI Tech can provide you a self-service solution or reports and dashboards set in Power BI.
A data warehouse system is a single source of truth created by combining single or different data sources, providing clients ease to make decisions, and assisting them to analyse past, current, and future positions.
Key Characteristics of Data Warehouse System
