Discussion 1:
Business Intelligence is a hot topic these days. Still, many business owners think that small
businesses don’t need to analyze their data. The perception remains the same for many that
business intelligence is not going to add much value to their business. Businesses improve their
competitive edge with the effective use of data and turn data into actionable information. BI
solutions make data accessible for authorized users and allow them to interact with competitive
intelligence from one secure, centrally managed data warehouse. This allows organizations to
make more strategic decisions by using information quickly and accessing information in effective
Improve Market Intelligence – Like enhancing competitive intelligence, BI software can be used
to obtain market intelligence and with BI tools data can be analyzed in a better way.
Set up alerts and delivery – Your business intelligence can instantly improve its standing and value
with alerts and report delivery. Notifications, in the form of email alerts, are useful for managers
to keep an eye on business operations without having to log into the BI system. The added perk
here is that managers can stay on top of KPIs and new updates even when they’re on the move as
reports and dashboards can be emailed to them according to a set schedule.
Reassess your dashboards – If it’s been a while since your BI dashboards were first designed, try
updating them with modern charts and stylish fonts. While this may seem unnecessary to some
companies, attractive dashboards attract more users and you’ll likely see an uptick in adoption
after a dashboard refresh.
Effective Business Model – When you have all the data, market insights, stats of customer buying
habits, competitor market strategy, it is obvious that you will work more on making your business
model more durable & result oriented. BI helps you to analyze your company’s own data as well
as consider all the external business information.
Personalized Sales Strategy – For the sales and marketing team, it is always more important to
understand other business they are trying to work with. As a sales personal, you need to learn
various aspects of a company before pitching them. Their annual turnover, sales numbers, merger
information, competitors, trading policies, outsourcing partners, etc. If the company is publically
traded, you can get all this information easily.
Discussion 2:
There are different methods for improving business knowledge accordingly prompting the
objectives and target accomplishments. Hence, I will examine five primary methods for upgrading
business knowledge as pursues
Efficient access to business data: The administration ought to depend on the new data that can be
utilized under the business insight framework dependent on the utilization of innovation. Hence,
the business will lily to work under benefit by contending positively with different contenders
Employee inspirations: At the point when the business has educated workers, they should give
viable data that will associate the representatives with Business Intelligence (BI) programming
therefore expanding their aptitudes by settling on the correct business choices for its development.
Accurate information section and announcing: Beforehand, the administration was recording
information physically which could have prompted incorrectness. In this manner, the organization
ought to depend on the utilization of an IT framework to record and report information for
productivity purposes by maintaining a strategic distance from the issue of information mistake
.At the point when the organization procedure precise information and report valuable data inside
and outside the organization, consequently, improves Business Intelligence (BI) by running
business activity with a point of accomplishing the set objectives and destinations.
Improved client bits of knowledge: It is the obligation of the association the board to set objectives
and target methods for pulling in the clients from the items and administrations advertised. They
ought to guarantee they have quality item bundles which are well-structured. In addition, they
ought to consistently depend on the representative’s input to viably create merchandise and
enterprises that fulfill their needs by giving valuable data under improving Business Intelligence
Information Governance Policy: The organization should execute the utilization of data
administration (IG) approach to shield its private data from interlopers subsequently expanding
the Business Intelligence proficiency in running distinctive business activity under security
assurance (Mircea & Andreescu,2009).
Discussion 3:
Centralized data
Data comes from multiple sources due to which most of this data is not used as it remains
unstructured. This unprocessed data could lead to loss of valuable insights. In this case effective
BI tools can come into handy. There are various tools in the marker for example Alteryx that
combines multiple data sources, does the data prep work and combined it into a single source for
single source of truth. This centralized data helps you to gather insights effectively as you will
have access to more data to analyze. For centralized data a huge data warehouse architecture is
necessary. Data warehouse helps you to have access to vast data where you can connect BI tools
to generate reports or analyze data. An effective data warehouse architecture should also have
effective data marts which is nothing but access to data foe various departments or what data would
be effective for different departments of the company (Ccganalytics, 2019).
Visualizing data
Visualizing data helps you to identify those trends or numbers that would be missed out in
a report. Visualizing data helps you to make statistics more interesting. It also helps decision
makers to make effective decisions by having a glace of the workbook and not going in detail to
understand the key points. In short it helps in improved response time. Visualizing data helps you
to have overview of the data or even look at the details. (TIBC, 2014)
Discussion 4:
Learning from the past is one of the ways that can be used in improving business intelligence.
Having a very positive history can be an excellent reflection of a new business .business knowledge
should work towards maintaining the environment that was set before and work towards
maintaining a positive image that was once created by the business intelligence team in the earlier
days (Laursen, & Thorlund, 2016). Besides, we should consider having a strategy for continuous
improvement. Consider creating up a team that is more focused on the creation of a favorable
business intelligence. For an organization to be successful. We have the different strategies that
are set to ensure that the right paths are followed.
Therefore, the business intelligence ensures that you develop on the most efficient strategy
that will bring out the best results. Some challenges are likely to be encountered while initiating
business intelligence. However, the problems will be minimized when we remain Focused. Aiming
at achieving the best results will have the team that is selected overcoming on all of the issues that
they might encounter (Yeoh, & Popovič, 2016). Additionally, we might consider acquiring new
IT and analytical tools. Information technology tools are known to make work more comfortable
and more efficient. Therefore, developing and initiating o some of the latest technological skills
might be important in maintaining the business intelligence processes. Lastly, we can some new
analytical tools that will be used in measuring the performances of the business tools that are being
Discussion 5:
The concept that usually involves the delivery of useful business information and integration in an
organization is referred to as business intelligence. In order to adapt quickly to changing
environment and scenario organizations use business intelligence to detect significant events and
identify business trends (McKeen, & Smith, 2015). Business intelligence is used in strategic
planning of the company and also for multiple purposes, including measuring performance process
toward their goals, reporting and information sharing, and identifying customer insights. There are
several ways business intelligence can be improved in a business. One is through accessing
information efficiently. Organizational decisions need to be informed and timely to stay ahead in
a rapidly changing business environment. Here important information about the business and
capability to discern what it means for the company requires easy access. Empowering employees
is another way to improve business intelligence.
Accessing real-time data is achieved when employees make informed data-driven
decisions. Another way to improve business intelligence is through efficient data entry and
reporting. It takes a lot of time to input since manual data entry can be inaccurate from human
error (Popovič, Puklavec, & Oliveira, 2019). Better customer insights is another technique. The
core activity in a business is customer satisfaction since it’s essential to understand how to satisfy
their needs. Saving money is another method. Business intelligence tools identify areas that could
be losing money or hurting productivity since there are a lot of areas of business that could be
experiencing money loss. Increasing productivity is a method used to increase business
intelligence. Their tools let managers monitor the output, performances, and tasks of your workers.
Discussion 6:
Many organizations today spend large sums of money to improve business intelligence. However,
there are many ways which organization can in invest in business intelligence without spending.
Most of the organizations worldwide have information problem and therefore attempt to solve
these problems by investing mostly in IT tools. To improve business intelligence organizations,
focus on more comprehensive ways by looking for the most strategic ways that will yield better
results. Below are the ways in which business intelligent can be improved
Creating a more effective business model:
Organizations need to know and understand the importance of business intelligence. By
creating an effective business model, business owners make smart decisions by knowing where to
put their profits and knowing where to invest (Rud, 2009). In doing that business intelligence is
improved and it allows for more progress in the business where to invest in infrastructure.
Racking the inventory and capitalizing on new trends:
Business intelligence is very critical in organizations given the rate at consumers expect
orders to get to them. Business owners and brands have to have in mind that new brands come up
each day and that’s competition to business. Knowing where the inventory is located and how the
sales are taking place makes it easy to streamline process and increases efficiency in the business.
Understanding the drivers of revenue for your business:
Knowing the drivers of the revenue in business is important in improving business
intelligence. This entails knowing who your end user is, how your product influences their
decisions, and how well they consume your product (Luhn, 1958). Knowing where and how is
what drives your consumers to continue purchasing and subscribing to your product. Consumer
satisfaction is important in business intelligent. Knowing the needs of the customers and satisfying
their needs improves business intelligence on organizations.
Discussion 7:
Several ways can be used in improving business intelligence. First, an organization needs to learn
from the past. Learning from the past helps in understanding how people make use of knowledge,
and with this as the base for improving a business helps in ensuring a successful improvement
(McKeen & Smith, 2015). Secondly, it is important to have a strategy for continuous improvement.
The strategy for continuous improvement ensures that the intelligence within an organization is
useful and continues to be used as the organization operates. Thirdly, the team members or the
implementation groups are duty-bound to ensure that they focus on the implementation strategy
(Berry, Broadbent, & Otley, 2016). Notably, the implementation is challenging, and therefore, the
team needs to focus on the strategy to ensure that the implementation is successful.
Cross-functional governance is also another way of improving business intelligence.
Imperatively, business intelligence governance needs to focus on BI and come up with a plan for
its evolution. Cross-functional governance works on ensuring that the decisions that are made
within the BI are in line with the other departments within the organization (Heesen, 2016). It is
also important to note that acquiring new IT and analytic skills is also critical. This ensures that
those handling business intelligence have the capacity and the ability to incorporate the technology
successfully (Berry et al., 2016). Also, taking process views is another way of improving business
intelligence. Views give light on what is supposed to be done in the process of improving the BI
within an organization, and this helps in ensuring that mistakes are avoided, and risks that could
occur are well managed. It is also important for an organization to ensure that it experiments the
BI before fully implementing it. By experimenting, the organization will be in a position to
understand whether the BI implemented will serve the needs of the organization (McKeen &
Smith, 2015).
Discussion 8:
Business intelligence is what every business is up to nowadays, and every business manager
always wants to make intelligent decisions for business success. Because all managers want to be
smart, a question arises on how is this possible. This discussion is, therefore, focusing on how to
improve intelligence in business for prosperity and enhancing favorable competition among
various companies.
First, one should acquire new IT and analytics skills (McKeen & Smith, 2015). However,
such a business enterprise may be small technology will always help provide better services that
are in line with the consumers’ demand. It is therefore essential for a manager to incorporate new
IT into business to improve innovation which is a significant path to be a business success. One
should also use analytics skills which enable one to test hypotheses and at the same time be able
to predict future trends of the business.
Secondly, managers should have a strategy for improvement (McKeen & Smith, 2015). It
is through this strategy that intelligence continues to be useful and ensures the flexibility of a
business in the long run, which makes it much easier to work with people. Focusing is also another
critical factor in improving business intelligence. Managers should keenly focus on a specific
goal(s) that will lead to the achievement of business objectives and make a difference.
Watching out for implementation should also be considered. Some business managers tend
to be very intelligent, but how they implement BI leads to failure. This is because they make
inappropriate decisions due to invalid conclusions. This raises the concern that managers should
be careful in implementing BI to avoid failure. Taking process views also plays a part in improving
business intelligence. This is because more business intelligence is associated with processes, the
more it is likely to be effective. Processes that lead to business success should be keenly taken into
consideration for enhancement of business intelligence.
Managers should learn from the past to improve business performance (McKeen & Smith,
2015). Through various instances in the past where one has failed, one should come up with new
ways of overcoming that or where one performed better measures to improve on it should be put
across. When these approaches are put into consideration, business organizations will perform
much better, and their objectives will be achieved at ease.
Discussion 9:
To warrant the effectiveness of business intelligence, it is essential that organizations constantly
review existing business intelligence practices. One of the significant ways through which business
intelligence can be improved is by learning from the past. While organizations put adequate effort
into informing their staff on how to go about maximizing the benefits associated with business
intelligence, some information can be lost along the way (McKeen & Smith, 2015). Thus,
organizations should ensure that they use their past as part of their growth process to come up with
effective strategies to mitigate the challenges experienced in the past. Coming up with a strategy
aimed at guaranteeing continuous improvement is also critical in warranting the effectiveness of
business intelligence (McKeen & Smith, 2015). The need for continuous improvement is
influenced by the fact that business intelligence is substantially dependent on technology, which
is constantly evolving. Therefore, organizations need to be up to date with current trends in
business intelligence with their industry (Trieu, 2017).
Acquiring new IT staff members who have unique analytics skills is also a significant
aspect of improving business intelligence. The need for IT personnel with advanced analytical
skills is influenced by the fact business intelligence is substantially dependent on deeply analyzing
business data (Trieu, 2017). While managers and top executives may have some basic knowledge
of business data analysis, acquiring staff members that specialize in business data analysis is vital
to improved business intelligence (Fink, Yogev, & Even, 2017). Incorporating a cross-functional
governance structure is also critical to improved business intelligence since it brings together
managerial members with different skill sets (Fink et al., 2017). A governing body with different
expertise is essential in guaranteeing that the business intelligence strategies incorporated consider
diverse factors relevant to an organization’s operations (Fink et al., 2017).
Discussion 10:
Business intelligence is very important in any business organization and it should be improved in
order to better the organization’s performance. One of the ways of improving business intelligence
is to maintain focus on burning business questions that will guide the users to business enabled
decisions that will have a great impact on the business. Within the targeted area, it is important to
bring multiple points of view to bear on the issue that is at hand. By maintaining focus on a goal
enables an organization to target specific data needed and how this may change within the course
of time (Scheierman). The focus in an organization brings to the attention of the executive to bear
on the value being delivered by the business intelligence and this will lead to an improvement in
sponsorship and resources.
Cross-functional governance is essential for business intelligence initiatives that have
broad organizational scopes. It is important to develop effective governance processes in order to
have success in business intelligence within the organization. These processes are essential at all
levels and must be integrated (McKeen & Smith, 2015). Strong governance is key in information
management practices like in determining acceptable levels of risk, determining core and noncore
data, privacy and security. Business intelligence governance is required to aim at business
intelligence and develop a plan for its evolution. Since external sources of data in business
intelligence processes are being used widely and increasingly, decisions should be made on
whether or not to trust a source and how the use of this data could have implications on an
The other way is by learning from the past which helps to determine how people utilize
knowledge for action and use this as the basis for improving the intelligence of the organization.
One of the best ways to delivering useful knowledge for action is by developing the links between
a direct action in a specific setting and the information that can drive it (McKeen & Smith, 2015).
One of the most effective ways to do this is by building linkages backward from a specific desired
action toward the acquisition and packaging of targeted intelligence for a particular group in useful
Organizations should ensure that intelligence continues to be useful and be used for
continuous improvement. Successful business intelligence initiatives enhance maintenance and
improvement of the quality and type of information provided as their users learn more about what
is possible, useful and practical to be done(“IQapture – Capture Business Intelligence & Drive
Continuous Improvement,”). As a focus manager, one must be flexible and willing to change the
tool to fit working with people due to the fact that the business intelligence tool has become a key
tool in the globalization of the work of the firm.
Business intelligence requires the integration of technology and business knowledge so as
to be successful. There must be a collaborative business intelligence team always to understand
business data better (McKeen & Smith, 2015). In order for IT to lead and facilitate business
intelligence, the IT staff must have the skills to bridge the gap between traditional business and
technical areas of expertise. Business intelligence needs the tools and right information to do the
work better and the right people who ask the right questions.
It is important to take process views where innovation and decision making are seen as
processes that connect the organization horizontally. When business intelligence is embedded in
various processes, such processes will be effective. The focus should be based on process that
matters to the business and to design the analytic capabilities necessary to enrich it. Agile
development processes are important because they let the business intelligence capability to evolve
as new insights emerge.
Business intelligence will be successful when it grows organically rather than as a onetime comprehensive initiative (McKeen & Smith, 2015). Business intelligence should be done in
small ways at the business unit level and look for ways to incorporate enterprise and external data
to make what they are doing useful. Such is an effective strategy because most organizations lack
complexity in this area. Managers should take an experimental approach to its use in business since
business intelligence is still developing.
The other way is by watching out for implementation by following the best implementation
process that will help in making good decisions. Training should be done on how to use
intelligence appropriately (McKeen & Smith, 2015). Intelligence may not be enough and therefore
managers should use practical wisdom to make careful and sensible judgments.
Finally, the focus group should tell stories to articulate value through business intelligence
is still unclear. This will is the best way to capture the value of business intelligence through stories
told by the business.
Discussion 11:
Business Intelligence (BI) is a process based on the technology to analyze the data and present
actionable information to help leaders, managers, and other corporate end-users to make informed
business decisions. BI includes a variety of tools, applications, and methodologies that enable
organizations to collect data from internal systems and external sources; prepare for analysis;
develop and execute queries on the data; and creating reports, dashboards and data visualizations
to put the analytical results available to business decision-makers and operational workers. The
goal of business intelligence is to support the better business decision. Essentially Business
Intelligence systems are decision support systems (DSS) based on the data. Business intelligence
is sometimes used interchangeably with briefing books, reports, and query tools and information
systems managers. BI systems provide historical views, current and predictive business operations,
using mostly collected data in a data warehouse or data store and occasionally working from
operational data (Fruhlinger, 2019).
Business intelligence is sometimes used interchangeably with business analysis; in other
cases, business analysis is used either closer to refer to advanced data analysis, or more broadly to
include both the BI and advanced analytics. The potential benefits of Business Intelligence tools
include speeding and improving decision making, optimizing internal business processes, increase
operational efficiency, generating new revenue and obtaining a competitive advantage over
competitors. BI systems can also help companies identify market trends and identify business
problems to be solved. BI data can include historical information stored in a data warehouse, as
well as new data gathered from source systems when their generation, allowing BI tools to support
decision-making and strategic tactics. Business Intelligence data are usually stored in a data
warehouse or in smaller data stores that contain subsets of information of a company. It takes the
necessary steps to improve their effectiveness in various areas of their operations; because
businesses can apply corrections using business intelligence solutions. As well as extensive
industry expertise to help companies assess their needs in business intelligence; several consultants
to help implement, technological advice and business intelligence tools. To improve business
intelligence, there are several ways – commercial design technology, track your stocks and
capitalize on trends, build your brand in a sales environment in complex and competitive retail
align key performance indicators with business strategies (Negash, 2004).
Discussion 12:
Business intelligence (BI) refers to computer techniques used to identify, extract and analyze
business data such as sales revenue by-products and/or services, or by associated costs and
incomes. Common functions of business intelligence technologies are reporting, online analytical
processing, analysis, data mining, and management of the company’s performance, benchmarking,
text mining and predictive analysis; while business intelligence aims to support better business
decision-making. Competitive intelligence collects, analyzes and disseminates information
focusing on competitors of the company; because they both support decision-making, BI uses
technologies, processes, and applications to primarily analyze structured internal data and business
processes, although the term business intelligence is sometimes used as a synonym for competitive
intelligence. Broadly business intelligence may include a subset of competitive intelligence.
Business intelligence (BI) has two different meanings base associated with the use of the term
intelligence. The main, less frequently, is the human intelligence capability applied in
business/activities. The intelligence of Business is a new area of investigation of the application
of human cognition and artificial intelligence technologies to the management and decision
support in various management issues (Ranjan, 2009).
To learn from the past and predict the future, many businesses adopt tools and business
intelligence (BI) systems. Companies have realized the importance of enforcing the objectives
defined by their business strategies through business intelligence concepts. Business intelligence
is a broad category of applications and technologies to collect data, to give them access and analyze
them to help business users to make better decisions. A specialized area of business intelligence,
called competitive intelligence, focuses only on the external competitive environment. Business
intelligence has become the art of sifting of large amounts of data, extract relevant information
and turn them into knowledge to act. Business Intelligence (BI) technologies provide chronicled,
present and predictive views of business operations. Business Intelligence (BI) is a set of ideas,
methodologies, processes, architectures, and technologies that change raw data into significant and
useful data for business purposes. Business Intelligence can handle large amounts of data to help
identify and evolve new opportunities for the business. It is designed to analyze and manage data
related to your business operations; because business intelligence software includes a range of data
analytics tools. To improve business intelligence, there are several ways – integrate BI into
everyday processes, determine the ROI of your marketing strategy, train people to analyze data
(Mulcahy, 2020).
Out Line:
Response 1: 150 words, Reference 1, Reference 2
Response 2: 150 words, Reference 1, Reference 2
Response 3: 150 words, Reference 1, Reference 2

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