Use cases Power BI Datawarehouse integration

Use cases

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Why is it a MUST?

Real Life examples

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Why is it a MUST?

Aggregate Diverse Data Sets

Aggregation is all about consolidating data from various tools and channels. You can then use them to create visual displays. Doing so will allow you to compare and contrast from different channels.

For example, if you want to analyze your marketing channels, you can consolidate data from social media, websites, email marketing, and much more. We have aggregated data and collected:

  • Facebook page views
  • Website page views
  • Keyword performance
  • Visits and contacts

These are all aggregated in one display so marketers can look at how effective each channel has been. You can then analyze and understand what you can do to enhance your various marketing channels’ performance.

Access All Your Data Anytime & Anywhere

Accessibility has become one of the most important things all marketers need. Accessibility to data, KPIs, and metrics allows marketers to check performance from anywhere and anytime. That is why employees in sales need to have mobile access to their CRM.

They can check daily or weekly performance and then make adjustments whenever they are needed. Below is an example of a marketing summary we receive every day. It lets us know whether we are on track for our marketing goals.

If any metrics appear to be deviating from our goals, we come up with quick ways to turn them around without having to wait for meetings.

Business Process Improvement by Data Analytics And Visualization

Analytics and visualization are two sides of the same coin. Only when there are both these elements, do we get a full picture of the data. Analytics help determines the state of the business, and visualization helps create insights and understand the analytics. Through data visualization, a business can understand the complete process of recording sales and then processing them for shipping. It allows companies to know whether the process enhances the customer experience or not. If there are issues, data visualization will point them out, and the organization can take the necessary steps to fix the problem in no time.

Real-Time Decision Making

In this fast-paced world, we need to make decisions instantly. However, to achieve such fast decision-making, one needs to bring together people, processes, systems, and much more. Every aspect of the business needs to be brought together so decision-making can be fast and accurate.

If you want to understand how this can be achieved, you can learn about Rome Airport. They did a fantastic job by bringing together their systems and analyzing data related to customers. It allowed them to make the best decisions that helped their airlines.

You can watch how they made quick decisions to ensure a smooth passenger flow here.

Real life Examples

Government Budget in an Interactive Way

Visualization helps make data clear and simple to understand. For example, government budgets are not easy to understand at all. However, during Obama’s presidency, The White House visually represented the budget on their website.

It is a basic treemap chart. Of course, it is not about their visualization skills but what the chart represents. It is a representation of a superpower using data visualization to tell taxpayers where their money goes.

So, even businesses can adopt data visualization to help their employees understand different aspects of the business. It doesn’t have to be a treemap but any other visualization technique.

Customer Behaviour Analysis

Big data solutions can help analyze customer behaviour comprehensively. Many companies use these solutions to target their audience more effectively. There are endless events that take place daily in a business. If an organization keeps a record of some and not others, it will be unable to identify consumer behaviour’s various patterns. However, with big data solutions and visualization, retailers can easily identify the increase in demand for a product through the increase in page views. Similarly, they can identify when customers purchase the most by looking at the timing of page visits. In simple terms, visualization and big data can make everything easier.

Further Data Visualization Examples

All industries use data visualization and data sets for their business. Here are the top three examples: Banking The banking sector uses data visualization to understand performance, credit forecasting, profitability analytics, and much more. They use many different techniques, including spatial analysis, to explore the performance of other things. Retail The retail sector uses data visualization to understand customer behaviour trends, optimize performance and processes, analyze the market share, and trends to see which store location will be the most profitable. You can learn how they use visualization to identify consumer behaviour. Healthcare Visualization of healthcare data can help understand labour productivity, risk of patient readmission, revenue management, and much more. It can also help other industries through their data. Browse the top twelve insights on healthcare through the use of analytics.

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