Business Intelligence was used by my previous company using Micros

Business Intelligence was used by my previous company using
Microsoft’s SQL Server Suite mainly SSIS (SQL Server
Integration Services) for ETL jobs and SSRS (SQL Server
Reporting Services). The client was a client-vendor relationship
management company where they acted like the middlemen
between a client and a potential vendor. Because of that, they
hosted the data for more than 100 companies. The BI
development teams’ job was source the data from all the
companies, create SSIS packages, and store it in the database.
The reporting team used SSRS to build reports accordingly. The
business would make a decision on something, the message
would e handed to the development team, who would then work
on the ETL process and relay the results to the business. Some
of the clients did collaborate on reporting wherein if they liked
the report created for one organization, they would ask for the
creation of a report with the same features for themselves.
BI should be looked as an option rather than a necessity. It
depends on the size, kind and speed of data that is incoming. If
any one of them is high, traditional BI tools are ill equipped to
deal with them. Organizations must always adapt newer
technologies into their operations, but the presence of external
factors could cause the to implement BI which still works great
for traditional databases. It is important to note that Bi would
provide data about the things we ask for. So, if the quality of
the requirement is high, the chance of a quality result will be
high. It is the people involved in the process that have the
highest impact but integration with the technology and
processes make it better.
AI will play a vital role in implementation of internet of things.
It will increasingly be monitoring and refining business
processes which will cause many jobs right now to be extinct
and taken over by AI. It is important to always upgrade your
skills or lag. More and more personalization will take place in
real-time as the technological gets closer to home and the speed

of executive increases. Finally, AI will become increasingly
useful as data becomes more accurate and readily available
although the implementation of this feature will take time due
to security concerns.
References
Azma, F., & Mostafapour, M. A. (2012). Business intelligence
as a key strategy for development organizations. Procedia
Technology, 1, 102-106.
Bayer, H., Aksogan, M., Celik, E., & Kondiloglu, A. (2017).
Big data mining and business intelligence trends. Journal of
Asian Business Strategy, 7(1), 23.
Simon, H. A., Bibel, W., Bundy, A., Berliner, H., Feigenbaum,
E. A., Buchanan, B. G., ... & Waltz, D. (2000). AI's greatest
trends and controversies. IEEE Intelligent Systems and Their
Applications, 15(1), 8-17.
(a)Business Intelligence and its Tools
Business Intelligence (BI) helps the organizations to
provide better strategic decisions for further development of the
business services by representing the present and actual data
with its business context (Ain et al., 2019). For instance,
Fortune 1000 organization are known to be one of the largest
American organizations to enhance the process of Big Data
technology towards the consumer’s services. Fortune 1000 has
provided 1000 largest companies to authorize the business
services in the USA for building better revenues towards the
development of economic growth.
The strategic tools of the BI help an organization to
build the growth of the productivity or services under specific
integrating capabilities which are listed as follows –
SAP Objective Business: This tool refers to BI software by
providing strategic reports, business analyses, and collective
data visualization.
Data Pine: It is one of the essential tools of the BI platform that
authorizes the composite process of data analytics for strategic

decision-making in an organization.
Micro Strategy: It signifies an enterprise BI tool that provides a
high-speed dashboard of business services and data analytics.
This business tool can identify data analytics trends and
implement new productivity of the business services (Ain et al.,
2019).
SAS Business Intelligence: This BI tool facilitates advanced
anticipative data analytics that implements an excellent business
service platform.
While overviewing the BI studies, leaders and managers have
essential roles in providing strategic decision-makings to
provide better business outcomes in an organization. The
organizational leaders help establish an associative approach
towards the BI services managed efficiently (Cheng, Zhong &
Cao, 2020). At the same time, BI managers authorize the
administrative team to focus on providing strategic decision-
making of specific planned projects by supplying the data of
business reports and implementing the qualitative analysis of
the business services (Cheng, Zhong & Cao, 2020).
(b)Use of BI to make decisions in an organization
Business Intelligence (BI) helps extract the essential facts of
the business reports from a vast amount of unstructured flow of
data analytics. In the solution of the unstructured business
method, BI helps the organization provide workable information
that helps make wise strategic decisions of the business
services (Cheng, Zhong & Cao, 2020). However, certain aspects
of BI help the organization make better data-driven decisions
under specific conditions, such as identifying strategies to make
a profit, analyzing customer behavior, tracking the performance
of the services, taking measurable steps against the business
issues, and optimizing the operational services. BI arms the
organization with helpful data resources to achieve its business
goals and targets by implementing strategic decision-making of
the business services (Cheng, Zhong & Cao, 2020).
(c)Trends in the Artificial Intelligence and Robotics
Artificial Intelligence is an intellectual scope for the business

services in an organization to make various essential trends in
society. The focus of AI operation helps improve the efficiency
of the technological measures for its positive
outcomes (Takeuchi & Yamamoto, 2020). Some trends of AI
have provided the organization to improve its operational
services and structural designs for its sound business outcomes.
For example, cloud computing can result in an excellent AI
trend for business services that helps to store relevant
information in a particular database application.
In the robotic trends, the software bots can constantly detect
alternates in the work environment by utilizing robust sensors
and taking measurable actions against the threats (Batth, Nayyar
& Nagpal, 2018). For instance, cyber-security considers one of
the most powerful software robotic trends in business services
for delivering specific actions against illegal cyber -threats
(spyware and viruses).
References
Ain, N., Vaia, G., DeLone, W. H., & Waheed, M. (2019). Two
decades of research on business intelligence system adoption,
utilization and success–A systematic literature review. Decision
Support Systems, 125,
113113. https://www.sciencedirect.com/science/article/pii/S016
7923619301423
Batth, R. S., Nayyar, A., & Nagpal, A. (2018, August). Internet
of robotic things: driving intelligent robotics of future-concept,
architecture, applications and technologies. In 2018 4th
International Conference on Computing Sciences (ICCS) (pp.
151-160).
IEEE. https://ieeexplore.ieee.org/abstract/document/8611051/
Cheng, C., Zhong, H., & Cao, L. (2020). Facilitating speed of
internationalization: The roles of business intelligence and
organizational agility. Journal of Business Research, 110, 95-

6320300035
Takeuchi, H., & Yamamoto, S. (2020). Business analysis
method for constructing business–AI alignment model. Procedia
Computer Science, 176, 1312-
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