Grafana VS Power BI

Grafana or Power BI? Well, this is the kind of decision that is often difficult for people to make while selecting a data visualization tool. So to solve this problem, we are going to talk about the features and benefits of both tools and help you understand what they actually are so that you can make a better decision.

Grafana and Power BI - The Differences:

Grafana:

Grafana; what we know is an open-source analytics and monitoring solution. It is a highly effective and abundantly used tool that is developed and supported by Grafana Labs. With the help of Grafana, you can query, graph, and get alert on your time-series metrics and it won’t even matter where the data is stored. It is the kind of tool that is backed by a vibrant community of developers. Similarly, Grafana is used by hundreds and thousands of companies for the purpose of monitoring anything and everything. 

As Grafana is an open-source project so it is free to use. Even though this is a plus point for the users but know that its running and maintaining can be quite difficult plus time-consuming for large companies. Check out the comparison between Grafana and Tableau, that you might be interested in.

Power BI:

Now Power BI on the other hand is a business analytics solution that has been developed by Microsoft Corporation. Power BI entirely focuses on providing interactive visualizations to its users. With that, it also offers intelligence capabilities and a very easy to use interface. With the help of Power BI, you can run reports and surface insights that are purely based on company’s data. With that it helps to connect to a wide range of data sets which can then be understood and digest well.

Related Courses:

• Getting Started with Power BI Desktop
• Microsoft Power BI Desktop for Business Intelligence
• Microsoft Power BI – A Complete Introduction [2021 EDITION]

Features of Grafana:

Let us take a look at the features that Grafana has to offer:

Offers Lightweight Backend:

Grafana offers a very lightweight backend and easily supports around 30+ open source and commercial data sources along with minimal infrastructure.

Integrates easily with your workflow:

Grafana has the ability to integrate with your workflow easily and helps explore metrics and visualize data and explore logs easily. With that, it also notifies the users of any issue using different channels and that to in real time.

Offers built-in Support:

Similarly, it offers built-in support for prominent time-series databases including Graphite, Prometheus, InfluxDB, and many more.

Huge Collection of Plugins:

Grafana offers a variety of interactive plugins. From simple charts to graphs to heatmaps, Grafana has it all.

Evaluate Metrics:

With Grafana, some panels let you define alert rules and then valuate metrics at regular intervals against predefined thresholds.

Create Dynamic Dashboards:

Similarly, Grafana allows users to create a variety of dynamic dashboards using template variables. 

Mixing Data Sources in the Same Graph:

Another feature of Grafana is that it allows querying and mixing the various data sources into the same graph. This feature is considered to be quite rare.

Features of Power BI:

Below are some of the notable features that Power BI has to offer:

Offers Versatile Platform:

Power BI offers a versatile platform to all its non-technical business users for the purpose of analyzing and visualizing data using live dashboards and reports.

Extract Meaningful Insights:

With Power BI, you can bring out meaningful insights from different parts and that can be shared across organizations as well or can even be embedded into your app.

Allows Importing Data from Files:

Power BI allows all its users to import data from files, databases, and Azure storage. With that, users also get to choose the format they want the data in like Excel, JSON, CSV, PDF, etc. 

Support Different Databases:

Power BI supports different databases like Oracle, MYSQL, SQL server, SAP Hana, and many more. 

Offers Additional Insights:

By filtering individual panel, Power BI gives its users the option to gain additional insight into the data.

Ease in Organizing Reports:

Offers ease in organizing reports in the form of pages just like a presentation.

Can Add Bookmarks:

Another feature offered by Power BI is that it lets users add bookmarks or even break the data to delve deeper.

Pricing:

Grafana:

The open source version is free to use. With that it offers transparently priced options.

Power BI:

If we talk about the pricing of Power BI then it is offered at a price of $9.99 per month per user.

Conclusion:

So this was a detailed comparison between Grafana and Power BI. We believe after reading this article, one would get a clear picture of what both the tools have to offer and which one is suitable for you. Therefore decide which tool is suitable for you today and never stop learning.

Who is Clinical Data Analyst?

In the healthcare department, a clinical data analyst is a professional who has all the healthcare information and is responsible for keeping a check on the validity of different scientific experiments. With that, he also has to keep a check on the authenticity of the data gathered. Clinical data analyst has to develop and manage databases for all the healthcare organizations out there and work in a clinical setting.

What a team of clinical data analysts do is gather the data and then report the entire results of the clinical business intelligence to all the relevant personnel. This includes the management, stakeholders, and third party or interested party. Similarly, they also have to stay in touch with other departments and point out the areas that need to be analyzed. Next, they have to find appropriate measures to make sure that the data analysis is done correctly and thus was useful. You might also be interested in learning about some data analysis tools like DOMO.

What does a Clinical Data Analyst do?

A clinical data analyst has a lot on his plate as the healthcare information is gigantic. So below are the details of what a clinical data analyst actually does.

• He has to validate results and then make conclusions from different experiments.
• He has to oversee both external and internal data management activities.
• Similarly, it is his job to expand and modify the system according to the requirements. It can be to improve the workflow or for serving new purposes. 
• Next, a clinical data analyst has to train the entire staff to work efficiently with different computer systems. He might have to run different programs as well for collecting and recording the data accurately. So he must know how to use different computers.
• Moreover, he also has to design and test data collection systems.

Who needs clinical data analysts?

Healthcare sector clearly needs clinical data analysts. With that, all such organizations that have to analyze current and future end-user requirements for improving clinical operations also demand clinical data analysts. These analysts work day and night to do the following;

• Designing clinical and administrative reports.
• Creating effective mechanisms that would approve and distribute information correctly.
• Similarly, other roles include extracting, reviewing, and analyzing patient data that is available in the coded financial and medical records.

Required Qualification or Certifications:

If you want to become a clinical data analyst, then below are the requirements;

First you need to earn a bachelor’s degree:

A four year bachelor’s degree program and that too in health information management is required. This degree is focused on healthcare and IT as well. Following are the courses included in this degree;

• Record management.
• Computer technology.
• Health information systems.
• Medicine.

Then gain some work experience:

Once you have completed the degree, the next thing to do is get experience in statistical data analysis. And for this to happen, you can work in hospitals or pharmaceutical companies. This will help you develop project management skills.

Get certified through American Health Information Management Association (AHIMA):

There are some certifications as well that can be obtained through AHIMA.

CHDA:

The Certified Health Data Analyst is an exam that is open to all such individuals who meet any one of the following requirements;

• They have AHIMA’s RHIT certification and also an experience of three years in their respective field.
• They have a bachelor’s degree and three years of experience in the relevant field.
• Similarly, a master’s degree in health information management and that too from an accredited school would be perfect.
• Lastly, a master’s degree and one year data work experience in healthcare. 

Therefore, if you meet any one of the above requirements, then you are eligible for CHDA certification.

Is Clinical Data Analyst a good career? 

Now comes the most important question that is, whether this field is a good career option or not. We believe healthcare industry has progressed so much that its demand is increasing day by day and same goes for clinical data analysts. Below statistics and salary details can help you understand better whether this is a good career choice or not.

Salary Statistics:

How much clinical data analysts can earn depends on more than one factor which includes;

• Experience they have.
• What education they have.
• What is their role in the organization they work for?
• Their work location and many other factors. 

But the one with most experience is most likely to earn better. The US Bureau of Labor Statistics has the following salary stats;

• An operations research analyst who is working in a similar position is making a median salary of $84,810 per year. 
• Payscale states an entry level analyst who has less than 5 years of working experience can make around $69,853 annually.
• Moreover, a clinical data analyst who has experience of 10 to 20 years can make around $75,000 per annum. 
• And clinical data analysts after becoming clinical data managers are making around $77,213 annually. Check out the comparison between Power BI Pro vs Premium.

Conclusion:

The above stats show a clinical data analyst can make a good career out of this field. Therefore, if you wish to start a career as a clinical data analyst and need guidance to get started or getting a clear picture of the requirements and so on then this article has everything you need to know.