Prolifics Guide to Advanced Analytics

Prolifics Guide to Advanced Analytics

Advanced Analytics

A Brief History of Analytics

The Types of Analytics

Business Analytics vs. Data Analytics

Understanding Advanced Analytics

Business Intelligence, Artificial Intelligence and Advanced Analytics – What's the Difference?

How Advanced Analytics Can Work For You

Advanced Analytics Techniques

The Benefits of Advanced Analytics

Advanced Analytics Challenges

Advanced Analytics Tools

The Future of Advanced Analytics

Advanced Analytics Tools


Open Source vs. Proprietary

There is no shortage of advanced analytics tools on the market, each with their own set of advantages. They can generally be divided into two categories: Open source and proprietary. 

Open-source tools are created by the public for public use.  These tools can be used by paying little or nothing.  Open source tools are a popular option among data scientists involved with machine learning and prescriptive analytics.  

There are many benefits to using open source tools. One of the most popular reasons is because these tools offer a cost-effective option for those who need them. Another benefit is that there's an active community of developers working on the software so it will constantly be getting better with new features and functionality. Lastly, another great reason why people choose open source solutions is because they can access all of their code at any time which makes debugging easier than ever before.

Proprietary tools cost money to purchase or lease. They are usually developed by a vendor, and they can require a deep understanding of mathematics and technical background in order to use them properly.


Cloud-Based vs. Infrastructure-Based

There are a variety of advanced analytics tools available on the market. Some use more infrastructure than others and will require a primary server installation or cloud-based solution, whereas some do not need any infrastructure as they exist only in software hosted by the company.

It has been commonly found that cloud-based services provide a more scalable and reliable infrastructure for businesses in today's marketplace. Traditional IT infrastructures can be inefficient at sensing changes within the business environment. This can lead to increased costs, below performance sluggishness, data breaches or other complications. 

Cloud computing on the other hand is specifically designed to streamline your company’s operations while supporting developmental growth.  This is especially true in companies where change can be constant (like technology and automation engineering companies) and with changing trends such as artificial intelligence.


Tips on Choosing the Best Advanced Analytics Tool

So you want to know which advanced analytics tool is the best for your business? It really depends on what type of data you are looking to analyze, how much time and budget you have available, and what kind of data analysis experience your team has had in the past.

The analytics tool you chose is one of the most crucial parts of your enterprise analytics strategy. With so many different types of tools available, it can be difficult to find the right fit for your business.

When you're looking for a business intelligence tool, there are some key points that will help you decide which analytics tools are right for your company and needs.

Advanced Analytic Tool Features to Look For

  • Ability to import data from multiple sources and create an interactive interface for communicating insights with your team.
  • Provide the option to output reports that can be exported to CSV, PDF, HTML, RTF and XML formats. 
  • Create interactive data visualizations with minimal coding required.
  • Capability to build many different ways to visualize data from simple charts to complex graphs with drill-down capabilities.
  • Share insights across multiple platforms to facilitate seamless collaboration and increased productivity.
  • Offer advanced capabilities that allow for intuitive design and data-driven business analytics insight.
  • Ability to convert unstructured text-based data into meaningful data to extract valuable insights.
  • Provide capabilities that are scalable and built-in to support advanced business intelligence and analytics.

Which type of tools you choose to use will depend on your needs and requirements, your budget, and on whether you have skilled staff for advanced analytics or not. Take these and other important factors into consideration and you will certainly be able to choose the best tool for your operation.

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Advanced Analytics

A Brief History of Analytics

The Types of Analytics

Business Analytics vs. Data Analytics

Understanding Advanced Analytics

Business Intelligence, Artificial Intelligence and Advanced Analytics – What's the Difference?

How Advanced Analytics Can Work For You

Advanced Analytics Techniques

The Benefits of Advanced Analytics

Advanced Analytics Challenges

Advanced Analytics Tools

The Future of Advanced Analytics


Advanced Analytics Tools



Open Source vs. Proprietary

There is no shortage of advanced analytics tools on the market, each with their own set of advantages. They can generally be divided into two categories: Open source and proprietary. 

Open-source tools are created by the public for public use.  These tools can be used by paying little or nothing.  Open source tools are a popular option among data scientists involved with machine learning and prescriptive analytics.  

There are many benefits to using open source tools. One of the most popular reasons is because these tools offer a cost-effective option for those who need them. Another benefit is that there's an active community of developers working on the software so it will constantly be getting better with new features and functionality. Lastly, another great reason why people choose open source solutions is because they can access all of their code at any time which makes debugging easier than ever before.

Proprietary tools cost money to purchase or lease. They are usually developed by a vendor, and they can require a deep understanding of mathematics and technical background in order to use them properly.


Cloud-Based vs. Infrastructure-Based

There are a variety of advanced analytics tools available on the market. Some use more infrastructure than others and will require a primary server installation or cloud-based solution, whereas some do not need any infrastructure as they exist only in software hosted by the company.

It has been commonly found that cloud-based services provide a more scalable and reliable infrastructure for businesses in today's marketplace. Traditional IT infrastructures can be inefficient at sensing changes within the business environment. This can lead to increased costs, below performance sluggishness, data breaches or other complications. 

Cloud computing on the other hand is specifically designed to streamline your company’s operations while supporting developmental growth.  This is especially true in companies where change can be constant (like technology and automation engineering companies) and with changing trends such as artificial intelligence.


Tips on Choosing the Best Advanced Analytics Tool

So you want to know which advanced analytics tool is the best for your business? It really depends on what type of data you are looking to analyze, how much time and budget you have available, and what kind of data analysis experience your team has had in the past.

The analytics tool you chose is one of the most crucial parts of your enterprise analytics strategy. With so many different types of tools available, it can be difficult to find the right fit for your business.

When you're looking for a business intelligence tool, there are some key points that will help you decide which analytics tools are right for your company and needs.

Advanced Analytic Tool Features to Look For

  • Ability to import data from multiple sources and create an interactive interface for communicating insights with your team.
  • Provide the option to output reports that can be exported to CSV, PDF, HTML, RTF and XML formats. 
  • Create interactive data visualizations with minimal coding required.
  • Capability to build many different ways to visualize data from simple charts to complex graphs with drill-down capabilities.
  • Share insights across multiple platforms to facilitate seamless collaboration and increased productivity.
  • Offer advanced capabilities that allow for intuitive design and data-driven business analytics insight.
  • Ability to convert unstructured text-based data into meaningful data to extract valuable insights.
  • Provide capabilities that are scalable and built-in to support advanced business intelligence and analytics.

Which type of tools you choose to use will depend on your needs and requirements, your budget, and on whether you have skilled staff for advanced analytics or not. Take these and other important factors into consideration and you will certainly be able to choose the best tool for your operation.

← PREVIOUS CHAPTER
NEXT CHAPTER →