Analysis and Visualisation of Data with PowerBI and Tableau
- A computer and internet access required
Organizations can use business intelligence (BI) to analyse historical and current data, which enables them to make quick and informed decisions.
Tools for business intelligence make this possible by combining data from multiple sources and presenting findings in visual formats that are easy to understand and share.
The purpose of business intelligence systems is to gain strategic, tactical, and operational insights by integrating data gathering, data storage, and knowledge management with data analysis. This allows the organization to transform all kinds of data into meaningful information for decision-making and insight.
Businesses use business intelligence systems to collect, analyze, display, and share information both internally and externally. These environments are composed of a variety of technologies, applications, processes, strategies, products, and technical architectures.
How business intelligence works
The four key steps business intelligence follows to turn raw data into meaningful insights for everyone in the organization are: 1. Data cleansing 2. Data analysis 3. Data visualization The first three steps — data collection, analysis, and visualization — lay the groundwork for the final step — decision making. Businesses had to manually analyze data before BI was available, but the tools automated many of the processes and saved businesses time and money.
Step 1: Collect and transform data from multiple sources
Extract, transform, and load (ETL) is the methodology that business intelligence tools use to combine structured and unstructured data from different sources. In the next step, the data is transformed and then restructured and stored in a central location where applications can easily query and analyse it as one comprehensive data set.
Step 2: Uncover trends and inconsistencies
When data mining, or data discovery, is done with automation, patterns and outliers are quickly discovered that provide an understanding of the current state of a business. There are many kinds of analytical tools available with BI solutions, including exploratory, descriptive, statistical, and predictive types that allow further exploration of data, the prediction of trends, and the generation of recommendations.
Step 3: Use data visualization to present findings
Data visualizations are used in business intelligence reporting to enhance understanding and sharing of findings. A variety of reporting methods, such as interactive data dashboards, charts, graphs, and maps, enable users to see what is currently happening within the organization.
Step 4: Take action on insights in real time
Companies can move quickly from insights to action by viewing current and historical data in context with business activities. By utilizing business intelligence, you can adjust in real time and make long-term changes that eliminate inefficiencies, adapt to market shifts, fix supply problems, and resolve customer issues.
Power BI is a collection of software services, apps, and connectors that work together to turn your
unrelated sources of data into coherent, visually immersive, and interactive insights. You may use an Excel spreadsheet to store your data,
Cloud-based hybrid data warehouses are collections of on-premises and cloud-based data warehouses. Data sources can be easily connected to Power BI,
visualize and discover what's important, and share that with anyone or everyone you want.
Power BI consists of several elements that all work together, starting with these three basics:
- A Windows desktop application called Power BI Desktop.
- An online SaaS (Software as a Service) service called the Power BI service.
- Power BI mobile apps for Windows, iOS (aff), and Android (aff) devices.
Tableau is a data visualization and business intelligence tool used for reporting and analysing vast volumes of data.
The software assists users in visualizing and analysing data for making business decisions using charts, graphs, maps, dashboards, and stories.
It can connect to several data sources . Tableau enables users to create reports by joining and blending different datasets
What you'll learn
- Connect to various data sources with Power BI
- Connect to various data sources with Tableau
- Clean and transform data with Power BI
- Clean and transform data with Tableau
- Analyse data with Power BI
- Analyse data with Tableau
- Create data visualization with Power BI
- Create data visualization with Tableau
Who this course is for:
- Beginner Data Analyst
- Beginner BI Analyst
- Beginner Data Engineers
- Beginner Data Scientist
Created by Bluelime Learning Solutions
Last updated 8/2021
Size: 2.6 GB