Skip to main content

5 Ways Microsoft Power BI Can Boost Your Business Profits

Have you got into the habit of aligning your business endeavours with the ever-evolving market scenarios? Not yet? Stop wondering and worrying, you just need to discover the right Microsoft Power BI consulting which can help you drive value from data, the most valuable asset of your organization.

Yes, it’s true that there are scores of BI applications and tools out in the market; however, the best one is MS Power BI services. Powered by Microsoft, it is a great tool for aggregating, analyzing, visualizing, and sharing data which ultimately helps you leveraging the power of data.

Let’s count on some of the best ways of MS Power BI that can help boost your business profits:

1. Visualization:

Today, every organization has access to data from various sources. Well, can they capture its worth with the available datasets? With MS Power BI implementation, it is easy to do that as it is rich with features like Power Query, Power Map, Power Pivot, Data Catalog, and so on. All these features will help you in visualizing the data in a graphical manner as per your business requirements.

2. Customization:

Microsoft Power BI has quite an interactive environment where you can customize the reports using in-built filters and fields and connectors. In fact, this is a great feature which makes it stand out from other BI tools in the market.  

3. Seamless Integration:

In an organization there are many tasks carried out manually, at times some departments or representatives need to wait long unnecessarily. Owing to compatibility with various tools and applications, MS Power BI solutions find it easy to keep the teams connected for data and many other vital reports.

4. Easy Access to Reports:

After driving graphical or colourful visualizations from datasets, you can save the output in the form of reports on your dashboard. Power BI lets you modify and edit these reports. And if you wish to have these reports secluded for your own reference or some other purpose, well you have the option of publishing them online as well offline. Isn’t great a capability?

5. Supports Search Query:

To get complete control over data, Power BI enables you with search query with its interesting component, like Power BI Q & A. It uses NLP. As soon as put in a query on you dashboard or on your reports, it will fetch the results/value from the datasheets in matter of seconds.

It’s time to adopt the data-driven approach to boost the overall health of your business. Find the best Power BI vendors that can help you nudge your business on a next level.


Popular posts from this blog

Why is Python becoming a Trend among Data Scientists?

Internet technology has set the world on fire. New revolutions are always around the corner. But did you ever notice that nowadays new revolutions are mostly based on technology and driven by data. It is data that is being generated everywhere via the internet. So what’s big deal about it? Well, the data we get from Internet is big data. Websites, social media, servers and so on...all contribute for data. It is data that is driving the demand-supply chain that serves the human race. Since we have been generating humongous amount of data every day, we have data scientists who drive value from it, so that humans can lead life of meaning and purpose and of convenient.

We now got hunch that Python has something to do with big data and work profile of data scientists. Now let’s get back to the point and seek answers as why data scientists are loving languages like Python and R over the traditional programming languages.
Let the pictures below speak for them, as a picture speaks a thousan…

What Topics in Python Should You learn for Data Analysis?

First off, understand there is difference between developing full-fledged software and doing data analysis using Python as a programming language. Clearly, here your aim is to do data analysis using Python, so learning Python becomes imperative for you. Right? Well, most of the people new to ‘big data’ and ‘data science’ go pell-mell, as they do not know where the correct essence of learning lies. They think that learning Python from A to Z will make them smarter, may be it can, but that's too much time consuming. As a new aspirant, you should be able to make out as what you should exactly learn for doing data analysis using Python.

In this post, we will go through the most-likely path which will make you self-confident in Python and subsequently in data analysis.

Step 1 - Basics:
Your learning process starts with rudimentary knowledge. Learning resources for general are different than selected learning. So, be it anything, you must learn the basics involved in Python. To learn…

What is Apache Cassandra?