In the previous article i wrote about a few skills one must possess when venturing into data analytics.I felt it is important and an advantage to also have a basic knowledge in using Analytic tools as this would serve us with a competitive aspect.
What is BI (Business Intelligence) Software?
BI software are tools used by most companies to analyze and transfrom the data retrived into business insights.Business tools also assist in creating proper visualizations,dashboards and reports to name a few.Below im going to curate a list of tools that will assist us in our career journey.
SAS Analytics
SAS Analytics offers fast results to complex problems and works well with any dataset size. It also provides interactive dashboards,exploration and smart visualisation.
Pros
- Builds stable models
- Creates accurate analysis
- Identifies patterns in data using algorithms
- Visualizations are easy to understand and explain
Cons
- Difficult to implement solutions
- Requires manual work in predictions
- User Interface not friendly
- Limited plotting graphs and customization
Microsoft Power BI
Microsoft Power BI is an analytic tool used in data mining,data visualization and providing business reports.Through its simple interface,it connects to different data sources and helps businesses create their own dashboards. It was originally born from Excel as an add-on but has grown to be independent and stand on its own.
Pros
- Dashbords update in real time from all data sources
- Visualizations are quick and easy to make
- Easy to use and compatable with other microsoft technologies
- Secure and safe
- Free desktop version
Cons
- Does not support SQL queries
- Difficult to work with large datasets
- Limited graphical visualizations
QlikView
QlikView is a data discovery software tool from Qlik. It is built to offer self service data and helps drive decisions for users of any technical skill level.
Pros
- Total control over sensitive data
- Flexible and aligns with user specifications
- Delivers results quickly
Cons
- Online analytic processing not supported
- Solutions don't identify patterns in the data
- Doesn't have prediction features
Sisence
SIsence software is an end to end analytics platform that makes data discoverable and is accesible to everyone. It allowes analysts to blend large datasets from various sources into a single database.
Pros
- Visual framework is easy to manipulate
- Empowers users with data literacy and intelligence
- Reduces time during data preparation and cleaning
- Perform error free analysis
- Alerts data abnormalities using advanced machine learning
Cons
- Doesn't work well with complex datasets
- Predictive models and analysis not supported
Tableau
Tableau is data visualization and analytics solution that assists firms in making data-driven decisions. lt is a powerful tool that blends information from a range of sources to deliver real time, actionable insights.
Pros
- Powerful visualizations
- Easy to understand and use
- Fast,smarter and time effecient in data cleaning
- Low cost
Cons
- Does not support data encryption
- Can't restore data lost due to system failure
Conclusion
In tandem with the above mentioned pointers, one is bound to agree that the tech environment is forever transforming. With that in mind it is therefore imperative for one to note that inorder to keep on surfing above the wave of tech, one has to be always on their tip toe in the quest for knowledge.
Knowledge is a tool in which one can use to change the world. Nelson Mandela.
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