The Prolifics Guide to Advanced Analytics

The 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

The Future Of Advanced Analytics


Advanced analytics has evolved at a rapid pace in recent years, particularly ever since big data burst into the scene.

More and more companies have dabbled in coming up with prototyped analytic solutions, which they have then attempted to operationalize to varying degrees of success. Whereas it was previously considered exclusively the domain of data scientists, business analysts have now also joined in to explore the potential of advanced analytics in the business framework.

New advanced analytics tools are hitting the market more frequently and they are being designed to cater to very specific customized needs of various user groups.

One of the most important fields in computer science is artificial intelligence (AI) and one of the subfields within AI, natural language processing (NLP).

NLP is an exciting new development in search engine technology. It gives computers the ability to understand and process natural human language, which means that humans don't have to first translate their queries into "computer-speak." The vast amount of data available for harvesting through NLP has led many experts from the field of machine learning to believe it may be one of the most significant developments in the history of big data.

All of this indicates a trend of growing popularity and importance of advanced analytics in the business world. 

With advanced analytics still in its early stages, companies are still working out the bugs in the process such as gathering quality, relevant data, choosing the right sources, and responding accordingly. This means that there is still a lot of untapped potential in advanced analytics, which businesses are likely to discover as they become more comfortable with and educated about advanced analytics.

The general belief is that while currently businesses are discovering the value of advanced analytics to their performance, in the future businesses will see it as an integral component of surviving and thriving. Additionally, with customers developing more discerning tastes the market has become more competitive with passing time. Advanced analytics' offers the ability to facilitate better decision-making, quick response to changing conditions and better strategizing.  This will become even more invaluable and businesses will likely turn to it in droves in an attempt to stay ahead of the competition and build a strong consumer base.

Equally relevant is the fact that computing technology will continue to grow, data collection and storage will continue to become cheaper and easier to manage. Technological advancements will make the development of complex advanced analytics techniques even more feasible, and businesses will continue to invest in researching the field of analytics.  These factors will all combine to make advanced analytics an even more potent, extensive, and affordable tool for businesses in the future.


Wrapping Up

In today's digital world, data is everywhere. It can be found in the form of social media posts, website traffic logs, and more. As a result of this vast amount of data available to businesses, advanced analytics has become increasingly important for all companies looking to grow their business.

While advanced analytics does face challenges such as a shortage of data scientist skills in the market, privacy and security risks, and knowing which data to use and sources to trust, its importance and increasing relevance cannot be denied. 

Advanced analytics is a developing field, which more and more businesses are investing in with time. With its predictive and prescriptive abilities being particularly relevant to the conditions of the global market, advanced analytics will continue to grow in the role it plays in a business's strategy of success. Additionally, it is businesses that continue to invest in their advanced analytics techniques and use them appropriately within their business functions that will find themselves ahead of the pack in the days to come.

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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


The Future Of Advanced Analytics


Advanced analytics has evolved at a rapid pace in recent years, particularly ever since big data burst into the scene.

More and more companies have dabbled in coming up with prototyped analytic solutions, which they have then attempted to operationalize to varying degrees of success. Whereas it was previously considered exclusively the domain of data scientists, business analysts have now also joined in to explore the potential of advanced analytics in the business framework.

New advanced analytics tools are hitting the market more frequently and they are being designed to cater to very specific customized needs of various user groups.

One of the most important fields in computer science is artificial intelligence (AI) and one of the subfields within AI, natural language processing (NLP).

NLP is an exciting new development in search engine technology. It gives computers the ability to understand and process natural human language, which means that humans don't have to first translate their queries into "computer-speak." The vast amount of data available for harvesting through NLP has led many experts from the field of machine learning to believe it may be one of the most significant developments in the history of big data.

All of this indicates a trend of growing popularity and importance of advanced analytics in the business world. 

With advanced analytics still in its early stages, companies are still working out the bugs in the process such as gathering quality, relevant data, choosing the right sources, and responding accordingly. This means that there is still a lot of untapped potential in advanced analytics, which businesses are likely to discover as they become more comfortable with and educated about advanced analytics.

The general belief is that while currently businesses are discovering the value of advanced analytics to their performance, in the future businesses will see it as an integral component of surviving and thriving. Additionally, with customers developing more discerning tastes the market has become more competitive with passing time. Advanced analytics' offers the ability to facilitate better decision-making, quick response to changing conditions and better strategizing.  This will become even more invaluable and businesses will likely turn to it in droves in an attempt to stay ahead of the competition and build a strong consumer base.

Equally relevant is the fact that computing technology will continue to grow, data collection and storage will continue to become cheaper and easier to manage. Technological advancements will make the development of complex advanced analytics techniques even more feasible, and businesses will continue to invest in researching the field of analytics.  These factors will all combine to make advanced analytics an even more potent, extensive, and affordable tool for businesses in the future.


Wrapping Up

In today's digital world, data is everywhere. It can be found in the form of social media posts, website traffic logs, and more. As a result of this vast amount of data available to businesses, advanced analytics has become increasingly important for all companies looking to grow their business.

While advanced analytics does face challenges such as a shortage of data scientist skills in the market, privacy and security risks, and knowing which data to use and sources to trust, its importance and increasing relevance cannot be denied. 

Advanced analytics is a developing field, which more and more businesses are investing in with time. With its predictive and prescriptive abilities being particularly relevant to the conditions of the global market, advanced analytics will continue to grow in the role it plays in a business's strategy of success. Additionally, it is businesses that continue to invest in their advanced analytics techniques and use them appropriately within their business functions that will find themselves ahead of the pack in the days to come.

← PREVIOUS CHAPTER