Analyzing Current Trends in Data Warehousing and Business Intelligence
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This report provides an overview of current trends in data warehousing and business intelligence. It examines the evolution of self-service business intelligence, highlighting its increasing importance and the shift towards user-friendly interfaces. The report also discusses the growing availability of affordable business intelligence solutions for small and medium-sized businesses (SMBs), emphasizing their need for growth and optimization. Furthermore, it analyzes the rise of Application Programming Interfaces (APIs) deployment and their impact on software development and business opportunities. The report concludes by emphasizing the ongoing evolution of business intelligence models and tools in response to changing business conditions and technological advancements.

Data Handling and
Business Intelligence
Business Intelligence
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Table of Contents
INTRODUCTION...........................................................................................................................2
MAIN BODY...................................................................................................................................2
Identify and critically evaluate the current trends in data warehousing and business intelligence. 2
CURRENT TRENDS......................................................................................................................2
Evolution of Self-Service Business Intelligence (BI)............................................................3
Affordable Business Intelligence For Small and Medium size Businesses (SMB's).............3
The Rise Of Application Programming Interfaces (API) Deployment..................................4
CONCLUSION................................................................................................................................5
REFRENCES...................................................................................................................................6
1
INTRODUCTION...........................................................................................................................2
MAIN BODY...................................................................................................................................2
Identify and critically evaluate the current trends in data warehousing and business intelligence. 2
CURRENT TRENDS......................................................................................................................2
Evolution of Self-Service Business Intelligence (BI)............................................................3
Affordable Business Intelligence For Small and Medium size Businesses (SMB's).............3
The Rise Of Application Programming Interfaces (API) Deployment..................................4
CONCLUSION................................................................................................................................5
REFRENCES...................................................................................................................................6
1

INTRODUCTION
Business intelligence commonly known as BI refers to technologies application and practices for
the collection integration analysis and presentation of business information and data. The main
purpose and motive of business intelligence is to support better decision making for
organisations and businesses. Business intelligence systems or BI systems are data driven
Decision Support Systems (DSS). The business intelligence is sometimes used interchangeably
with briefing books query tools executive information systems and reports by the businesses and
the organisations but they are entirely different software. The report covers the current trends
which are flourishing in the marketplace in relation with business intelligence as currently
organisation of starting to see the data content should not only be considered as separate aspect
of information management but instead it is managed in an integrated enterprise approach.
Therefore the report below is thoroughly examining different current trends which are evolving
in the marketplace in relation with business intelligence. These current trends are evolution of
service business intelligence, affordable business intelligence for Small and Medium size
Businesses (SMB’s) and the rise of Application Programming Interfaces (API) deployment.
MAIN BODY
Identify and critically evaluate the current trends in data warehousing and
business intelligence.
CURRENT TRENDS
The business intelligence landscape is one very much in flux. cloud services predictive analytics
big data and data sciences are continuously innovating and evolving spaces that each feed into
business intelligence which are regularly and aggressively changing the role they play within
enterprises and in growing number of small medium sized businesses either a small start-up or in
entrepreneurship or any other business type (Wani and Jabin, 2018). In recent past years there
has been a big shift in business intelligence and analytics and market is in the final stages of
multiyear shift from IT-lead, system of record reporting to pervasive, business -led, self-service
analytics. Organisation and different business types are continuously moving towards easy to use
agile and trusted modern business intelligence and analytics platforms deployed across the
enterprises which creates better business value for deeper insights and diverse data sources.
2
Business intelligence commonly known as BI refers to technologies application and practices for
the collection integration analysis and presentation of business information and data. The main
purpose and motive of business intelligence is to support better decision making for
organisations and businesses. Business intelligence systems or BI systems are data driven
Decision Support Systems (DSS). The business intelligence is sometimes used interchangeably
with briefing books query tools executive information systems and reports by the businesses and
the organisations but they are entirely different software. The report covers the current trends
which are flourishing in the marketplace in relation with business intelligence as currently
organisation of starting to see the data content should not only be considered as separate aspect
of information management but instead it is managed in an integrated enterprise approach.
Therefore the report below is thoroughly examining different current trends which are evolving
in the marketplace in relation with business intelligence. These current trends are evolution of
service business intelligence, affordable business intelligence for Small and Medium size
Businesses (SMB’s) and the rise of Application Programming Interfaces (API) deployment.
MAIN BODY
Identify and critically evaluate the current trends in data warehousing and
business intelligence.
CURRENT TRENDS
The business intelligence landscape is one very much in flux. cloud services predictive analytics
big data and data sciences are continuously innovating and evolving spaces that each feed into
business intelligence which are regularly and aggressively changing the role they play within
enterprises and in growing number of small medium sized businesses either a small start-up or in
entrepreneurship or any other business type (Wani and Jabin, 2018). In recent past years there
has been a big shift in business intelligence and analytics and market is in the final stages of
multiyear shift from IT-lead, system of record reporting to pervasive, business -led, self-service
analytics. Organisation and different business types are continuously moving towards easy to use
agile and trusted modern business intelligence and analytics platforms deployed across the
enterprises which creates better business value for deeper insights and diverse data sources.
2
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Evolution of Self-Service Business Intelligence (BI)
It is predicted that in the coming your self service analytics will involve beyond just self service
for analytics there will be self service information for the masses which do not just serves
through tools but will also fulfil the purpose of the entity through purpose-built interfaces and
applications. The most influencing factors which are impacting self service business intelligence
is the increasing evolution and development of new technologies and new users expectations.
this is one of the most influential factor which is driving a shift in the definition and Outlook of a
self service business intelligence (Mitrovic, 2020). Along with it every organisation in the small
or big, start-up or an entrepreneur and public or private company, freezing a growing diversity of
data to derive value from it and other challenges within a central data warehouse. That means the
value of data is increasing day by day with the fact that some of the data will never make sense
to the warehouse still in a certain manner they are being managed by the store as it is considered
valuable and contributing towards decision making. The self-service business intelligence is an
important tool which is in top of the mind for most of business intelligence leaders today it has
been around for a long time but the expectations of what it means and what it can deliver has
evolved with the time and evolving business and external environmental conditions.
Affordable Business Intelligence For Small and Medium size Businesses (SMB's)
The small and medium sized businesses and their owners are always and constantly exploring
different opportunities for growth and optimisation which also bring the need for them to you
have a portable business intelligence as their industry and their is increasing in the economy
because they are the building block of different economics around the globe (Bordeleau,
Mosconi and Santa-Eulalia, 2018). As the business environment is changing the market is
evolving it is very impossible for small business enterprises to afford to ignore business
intelligence they need it for improving their operations and more importantly save cost. Many
small and medium sized organisations or entities have presumed that business intelligence
software are very much to be preserved by large organisations and not by them. Many small
business enterprises mistakenly believes and assume that only those multi-million pound budget
can afford a business intelligence and explore the benefits related to them. but the current
environment and scenarios are changing and there are several affordable business intelligence
solutions which are increasing in the market for small and medium-sized businesses (Do and
Yen, 2019). The result of it are increasingly becoming aware of the extent to which the growth
3
It is predicted that in the coming your self service analytics will involve beyond just self service
for analytics there will be self service information for the masses which do not just serves
through tools but will also fulfil the purpose of the entity through purpose-built interfaces and
applications. The most influencing factors which are impacting self service business intelligence
is the increasing evolution and development of new technologies and new users expectations.
this is one of the most influential factor which is driving a shift in the definition and Outlook of a
self service business intelligence (Mitrovic, 2020). Along with it every organisation in the small
or big, start-up or an entrepreneur and public or private company, freezing a growing diversity of
data to derive value from it and other challenges within a central data warehouse. That means the
value of data is increasing day by day with the fact that some of the data will never make sense
to the warehouse still in a certain manner they are being managed by the store as it is considered
valuable and contributing towards decision making. The self-service business intelligence is an
important tool which is in top of the mind for most of business intelligence leaders today it has
been around for a long time but the expectations of what it means and what it can deliver has
evolved with the time and evolving business and external environmental conditions.
Affordable Business Intelligence For Small and Medium size Businesses (SMB's)
The small and medium sized businesses and their owners are always and constantly exploring
different opportunities for growth and optimisation which also bring the need for them to you
have a portable business intelligence as their industry and their is increasing in the economy
because they are the building block of different economics around the globe (Bordeleau,
Mosconi and Santa-Eulalia, 2018). As the business environment is changing the market is
evolving it is very impossible for small business enterprises to afford to ignore business
intelligence they need it for improving their operations and more importantly save cost. Many
small and medium sized organisations or entities have presumed that business intelligence
software are very much to be preserved by large organisations and not by them. Many small
business enterprises mistakenly believes and assume that only those multi-million pound budget
can afford a business intelligence and explore the benefits related to them. but the current
environment and scenarios are changing and there are several affordable business intelligence
solutions which are increasing in the market for small and medium-sized businesses (Do and
Yen, 2019). The result of it are increasingly becoming aware of the extent to which the growth
3
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and profitability can be added with the deployment of different business intelligence software
and dashboards as they are more affordable to use and easier to understand then many assemblies
owners believes. A business intelligence dashboard is used by small business organisations to
find various answers belonging to wide range of questions and segments enable them to
determine who are the most valuable customer which is the most profitable product or service
and calculate the company’s current performance in order to compare it with the past or with the
future goals so that appropriate results can be gathered by it. bring all the data into one dashboard
is very powerful and helpful which saves a lot of time and money of small and medium size
businesses enabling them and helping them in decision making with the most potential methods
and manners (Ogudo and Nestor, 2018).
The Rise Of Application Programming Interfaces (API) Deployment
The application programming interfaces or API’s allows the individual and entity to make use of
two pieces of information or data to contract and provide your code base with the Independence
to evolve and develop a new business opportunity within the systems by the existing data (Llave,
2018). According to the research and several different articles it has been identified that some
almost more than 5 years it is being heard that software’s is eating the world. There are
numerous different types of SaaS applications that has excluded and there is still rising in
numbers of software innovation in the area of application programming interfaces. the
application programming interfaces can provide connective tissue and increasingly important
functionality to the business and there has been a profile is in of third-party application
programming interfaces companies which is fundamentally evolving and regularly changing the
Dynamics of the development and creation of software and their buying processes. The
application programming interfaces has been a key part of development in software sector for
many years as they provide a way to develop and create a specific platform of software such as
Microsoft Windows. Most recent and new year example of different application programming
interfaces are Google and Facebook have offered in a different way which allows the developers
to develop dependency on these platforms and have effect on the creation of these platforms
(Kasemsap, 2018).
4
and dashboards as they are more affordable to use and easier to understand then many assemblies
owners believes. A business intelligence dashboard is used by small business organisations to
find various answers belonging to wide range of questions and segments enable them to
determine who are the most valuable customer which is the most profitable product or service
and calculate the company’s current performance in order to compare it with the past or with the
future goals so that appropriate results can be gathered by it. bring all the data into one dashboard
is very powerful and helpful which saves a lot of time and money of small and medium size
businesses enabling them and helping them in decision making with the most potential methods
and manners (Ogudo and Nestor, 2018).
The Rise Of Application Programming Interfaces (API) Deployment
The application programming interfaces or API’s allows the individual and entity to make use of
two pieces of information or data to contract and provide your code base with the Independence
to evolve and develop a new business opportunity within the systems by the existing data (Llave,
2018). According to the research and several different articles it has been identified that some
almost more than 5 years it is being heard that software’s is eating the world. There are
numerous different types of SaaS applications that has excluded and there is still rising in
numbers of software innovation in the area of application programming interfaces. the
application programming interfaces can provide connective tissue and increasingly important
functionality to the business and there has been a profile is in of third-party application
programming interfaces companies which is fundamentally evolving and regularly changing the
Dynamics of the development and creation of software and their buying processes. The
application programming interfaces has been a key part of development in software sector for
many years as they provide a way to develop and create a specific platform of software such as
Microsoft Windows. Most recent and new year example of different application programming
interfaces are Google and Facebook have offered in a different way which allows the developers
to develop dependency on these platforms and have effect on the creation of these platforms
(Kasemsap, 2018).
4

CONCLUSION
The report concludes that business intelligence models and tools or software are evolving with
the evolving business conditions increasing competition and significantly increasing leaves of
different businesses. There are several trends which are taking place in the business environment
in relation with business intelligence where different affordable business intelligence software
are being available in the market for small and medium-sized businesses removing the
assumption of that the large multinational organisation can only enjoying the benefit of it. Along
with it the application programming interfaces are also evolving and rising in number with the
main reason of increasing technology and introduction of advanced technologies in the market
on regular basis.
5
The report concludes that business intelligence models and tools or software are evolving with
the evolving business conditions increasing competition and significantly increasing leaves of
different businesses. There are several trends which are taking place in the business environment
in relation with business intelligence where different affordable business intelligence software
are being available in the market for small and medium-sized businesses removing the
assumption of that the large multinational organisation can only enjoying the benefit of it. Along
with it the application programming interfaces are also evolving and rising in number with the
main reason of increasing technology and introduction of advanced technologies in the market
on regular basis.
5
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REFRENCES
Books and journals
Bordeleau, F. E., Mosconi, E. and Santa-Eulalia, L. A., 2018, January. Business Intelligence in
Industry 4.0: State of the art and research opportunities. In Proceedings of the 51st
Hawaii International Conference on System Sciences.
Do, Q. H. and Yen, T. T. H., 2019. Predicting Primary Commodity Prices in the International
Market: An Application of Group Method of Data Handling Neural Network. Journal of
Management Information and Decision Sciences. 22(4). p.471.
Kasemsap, K., 2018. Multifaceted applications of data mining, business intelligence, and
knowledge management. In Intelligent Systems: Concepts, Methodologies, Tools, and
Applications (pp. 810-825). IGI Global.
Llave, M. R., 2018. Data lakes in business intelligence: reporting from the trenches. Procedia
computer science. 138. pp.516-524.
Mitrovic, S., 2020. Adapting of international practices of using business-intelligence to the
economic analysis in Russia. In Digital Transformation of the Economy: Challenges,
Trends and New Opportunities (pp. 129-139). Springer, Cham.
Ogudo, K. A. and Nestor, D. M. J., 2018, August. Modeling of an efficient low cost, tree based
data service quality management for mobile operators using in-memory big data
processing and business intelligence use cases. In 2018 International Conference on
Advances in Big Data, Computing and Data Communication Systems (icABCD) (pp. 1-
8). IEEE.
Wani, M. A. and Jabin, S., 2018. Big data: issues, challenges, and techniques in business
intelligence. In Big data analytics (pp. 613-628). Springer, Singapore.
Online:
Evolution of Self-service BI, 2012. Available Through: <
https://blogs.sap.com/2012/11/19/evolution-of-self-service-bi//>
Can SMEs afford to ignore business intelligence, 2020. Available Through: <
https://www.panintelligence.com/resources/blog-posts/affordable-bi-tools-sme//>
The Rise of API’s, 2020. Available Through: < https://techcrunch.com/2016/05/21/the-rise-of-
apis//>
6
Books and journals
Bordeleau, F. E., Mosconi, E. and Santa-Eulalia, L. A., 2018, January. Business Intelligence in
Industry 4.0: State of the art and research opportunities. In Proceedings of the 51st
Hawaii International Conference on System Sciences.
Do, Q. H. and Yen, T. T. H., 2019. Predicting Primary Commodity Prices in the International
Market: An Application of Group Method of Data Handling Neural Network. Journal of
Management Information and Decision Sciences. 22(4). p.471.
Kasemsap, K., 2018. Multifaceted applications of data mining, business intelligence, and
knowledge management. In Intelligent Systems: Concepts, Methodologies, Tools, and
Applications (pp. 810-825). IGI Global.
Llave, M. R., 2018. Data lakes in business intelligence: reporting from the trenches. Procedia
computer science. 138. pp.516-524.
Mitrovic, S., 2020. Adapting of international practices of using business-intelligence to the
economic analysis in Russia. In Digital Transformation of the Economy: Challenges,
Trends and New Opportunities (pp. 129-139). Springer, Cham.
Ogudo, K. A. and Nestor, D. M. J., 2018, August. Modeling of an efficient low cost, tree based
data service quality management for mobile operators using in-memory big data
processing and business intelligence use cases. In 2018 International Conference on
Advances in Big Data, Computing and Data Communication Systems (icABCD) (pp. 1-
8). IEEE.
Wani, M. A. and Jabin, S., 2018. Big data: issues, challenges, and techniques in business
intelligence. In Big data analytics (pp. 613-628). Springer, Singapore.
Online:
Evolution of Self-service BI, 2012. Available Through: <
https://blogs.sap.com/2012/11/19/evolution-of-self-service-bi//>
Can SMEs afford to ignore business intelligence, 2020. Available Through: <
https://www.panintelligence.com/resources/blog-posts/affordable-bi-tools-sme//>
The Rise of API’s, 2020. Available Through: < https://techcrunch.com/2016/05/21/the-rise-of-
apis//>
6
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