With data becoming the bloodstream for businesses big and small, there has been a steady increase in the numbers of skilled professionals seeking quality Power BI training courses. Let’s understand what exactly does this add up to, and how do industries benefit from it?
Importance of Data Visualization
From retail to travel, industries from all domains use and generate lots of essential data, every day. And by a lot, we mean 2.5 quintillion bytes of data are made each day by businesses, according to Forbes. Such data can be anything from marketing numbers, sales volumes to human resources that may come through as random, complicated, and overwhelming in the preliminary stage.
However, according to research, this massive ‘chum’ of data can be extremely helpful for businesses to generate values that can help enterprises to:
- Identify their attention areas
- Know more about their customer behavior
- Understand product placements
- Estimate sales volumes and other such relevant features.
That’s where Business Intelligence (BI) comes in.
What is Power BI?
As a user-friendly interface, Power BI software mostly gathers and compiles data into meaningful insights with the help of easy-to-read graphs and charts. Power BI can easily integrate with your excel spreadsheets and other databases either on cloud or in-app. Available on desktops, iOS or Android phones, Power BI can even be accessed as a SaaS-based service.
If you are familiar with working on MS-Excel, you will find countless similarities between Power BI and Excel. However, the former is way more powerful and promising than the latter. Enterprises use this technology to learn, not just the present scenarios but more than that. Still, once Power BI is permeated with Machine Learning traits, it can track patterns, make quantitative analysis, and predict values based on supposing scenarios.
These forecasts often work as a wake-up call for enterprises to meet future inquiries, demands, or even understand competition accordingly. Businesses that seek critical analysis and results, now often rely on Power BI that helps them gather necessary intel to make well-informed decisions.
The benefits of using Power BI include:
- A quick compilation of data in huge volumes compared to that of other programs.
- Due to its infused Machine Learning properties, Power BI can help identify trends in data and improve the businesses to stay one step ahead than the rest.
- Its attractive templates give a unique data viewing experience to individuals as they easily spot and make sense of the data.
- As it is cloud-based, Power BI comes with enhanced intelligence properties and gets updates with compelling algorithms every time.
- It also has an impressive personalized dashboard for users to quickly access and analyze the data. Also, offers more granular control in handling data.
- Users can also set up the notification feature on specific KPIs to keep them in the loop about each update.
- Even though it may seem difficult to handle, Power BI is instead a self-aware platform that makes it way easier to access data than spreadsheets.
- Power BI can be easily integrated with popular business management tools like Google Analytics, Mailchimp, Spark, and others, making it easy and convenient for all.
Who is a Power BI Dashboard Designer
A Power BI Dashboard developer would be the go-to person for all your development, installation, and handling of all elements in the Power BI interface. These would include all types of query machines, data visualization, and live dashboard management. The developers also need to be well-versed with specific industry-specific highlights, which would help them understand, analyze, and execute data models and programs depending on these standards.
Their roles specifically can consist of:
- Getting adept in the execution of Power BI tools
- Building reporting models for analysis services
- Curating visual reports, dashboards, KPI scorecards with the help of Power BI desktop
- Integrating, Importing, and breaking down data for Business Intelligence
- Taking an analytical thinking approach to interpreting data into visuals
- Enforcing security levels based on rows based on the security layer model in Power BI
- Making DAX queries in the Power BI desktop
- Getting advanced calculations performed on the data sets
- Create methodologies and prepare project documentation
- Building multidimensional models that abide by the warehouse standards
- Proficiency in building, publishing, and scheduling power BI reports according to business needs
- In-depth understanding of the specific areas of business requirements and build reflecting data models with necessary resources
- Have flair in prototyping, designing, and requirement analysis
- Creating personalized visuals for Power BI
Skills Required for a Power BI Dashboard Designer
For an ideal Power BI Dashboard Developer, the skillsets may vary depending on the project or industry, as some may require lesser software engineering indulgence than others. However, prerequisites remain the same. These are:
- Good understanding in baseline theory that goes into data visualization, dashboard design irrespective of the software context
- Graduation in Computer Science/Information System with enough work experience in the domain
- Flair in data preparation, data handling, data warehousing, and similar projects
- Sound understanding in SQL and relational database
- Comfortable in ETL (Data Extraction, Transformation, and Load) and other data preparation techniques, as data can come in all shapes and sizes
- Having solid fundamentals in business analysis, mathematics, and statistics, with relevant experience.
When to Take a Course
For the past eight consecutive years, Power BI has been a leader, recognized and acclaimed by prominent platforms like Gartner. Now, more than 61% of the businesses use Microsoft’s Power BI for decentralized analytics, while 54% use it as agile and centralized BI provisioning.
Businesses see Power BI as the connecting road to spreadsheets, databases to Big Data. It also lets companies spread their wings and connect to cloud databases like Amazon Redshift.
Thanks to the cutting-edge technology in Data Science, Machine Learning, and other related fields, breakthrough developments like launching hybrid data connectivity and more have made this field brimming with possibilities.