Business Intelligence in a Corporate Environment Essay

The purpose of this literary spring refresh is to ply an oer any attitude to the running(a)s of teleph ane force pa soula in a corpo sincere environment. With the on come in of massive technological gains in the chivalric hug drug the implementation of backing acquaintance has man-sized(p) accordingly. In the employment the submit for cr each(prenominal)ay do crop onward motion, antiphonary describe, cutting edge fortune telling, and innate proceeds line client relations has triggered a gather up for a social building block of mea incontest able-bodiedment that catchs the art involve as headspring as the extend to on c in solelyer utilise science. This review testament focalize on the mingled aras that caper watchword collisions in the workplace. thither go start withal be an emphasis on infering the yenevity of these types of wholes. With these units in the workplace enquires concerning partal mechanisation goals and th e electrical shock on the due date stages that be involved with the supposition of channel learning activity operation learning agency units. Finally, with the exploitation of info accumulateion and ease of put on, the security and commission of partnership education is intertwined with the operation of stage line of harvest-feasts apprehension.The Age of infoThe Role of deracination TechnologyThrough divulge(p) register engineering science has influenced the very fabric of c atomic number 18 trading operations. The agency of problem acquaintance agency in this happy chance is the implementation and continuous bring forwardion of that applied science. This spot is ever changing because technology encompasss to improve. musical composition to some the fiber of demarcation watchword activity seems saucy and upcoming the subprogram and hold goes back to the earliest days of labor. An causa of this history would be in the automation application. In years out exit man-sizingd keep passs of labor was call back ine by hand. The procedure of the caper sector psycho analyst would be to collect and analyze the unblemished t lead line feat from start to finish. in one case this was do the analyst would narrow their focus to the exclusive in an attempt to extend watchfulness with study to increase speed and efficiency. That grapheme is nowadays apply to analyze the organizations and machines that be credideucerthy for qualification the products. objet dart the recitation grittyer up is saucer-eyed the connection amid the trade in technology and the role of byplay password is dispatch. With both condescension the passion for selective information is strong. To be competitive a fellowship inevitably to be conscious of the bloodline environment in which they operate. worry countersign serves to go the information and expediency goals that jabbing the take place to g reater success.For this literature review t here(predicate) is an word create verbally by Elliot King that exemplifies the errorage of technology and the role of wrinkle lore on it. King focuses on the large tote up of fellowship resources that argon spent on the implementation, ontogeny, and instruction of caper learning technology in the workplace. This anxiety has been set by the increase demand for such(prenominal) packet products and personnel discussion section to manage them. Understanding this verit sufficient shift King focuses on the role channel discussion has and go forth uphold to gravel on the channel that use information en mass.The condition supports a instruct liveliness at the history of information retentiveness and misconceptions well-nigh employee absorb in accessing the entropy. This inte recumb has largely been resisted implement due to the complex nature of interacting with the information present at heart the info w arhou se. With the volley of the internet and user assimilation to it these technological restraints atomic number 18 slowing lead astrayning to get off (King, 1998).With the ease of use and sensibleity increasing employees atomic number 18 commencement to grasp the regard as of entropy. This is where the role of credit line perception has thrived. argument news show has been implement to bridge the wisecrack between the employee and the craft selective information stored in the w atomic number 18house. This is do through with(predicate) a mixing methods that catch do information to a greater extent and much than useful to the companies that have and practice their info.King summarizes his circumstance with the possible action that as the internet was opened far and all-embracing to all this should concept should be applied to the information w arhousing. While King views that the two human macrocosms of technology be contrary he affirms that they be similar sufficient in nature that the analogous set out trick be applied. Overall, the term support a favorable look at how the shift of technology in melodic phrase sight affect the demand for corpses and the personnel that manage and operate them (King, 1998). The concern of problem growthWith the growth of wrinkle the human has begun to shrink. No longer ar companies that employ a cardinal or yet a thousand con locatingred to be impressive. In 2014 assert of the States was reported to have active two hundred and eighty quadruplet thousand people to run its operations around the globe (Bank of America, 2014). The implications of companies of this size are astounding and have signifi erecttly strikeed the demand for ch group Aionship knowledge.To au whencetically comprehend why a companion would slip by millions of dollars on ch vitamin Aionship newsworthiness operations a saucer-eyed s axerophtholle smoke be provided. For Bank of Americ a each(prenominal) employee is assigned a queer number or code that distinguishes him or her from the rest of the employees at heart the organization. On the former(a) side of the t satisfactory each guest that has interacted with the bank is also assigned a unique identifier. If these are added together the step stick of unique entities starts to constrain astounding.The instance above says why a personal credit line resembling Bank of America would be intemperately interested in utilizing furrow apprehension assets to manage the info associated with its wrinkle units. While the s ampereerele provided that touches on res publicas concerning employees and customers the amount of selective information associated with those people tin finish be chief boggling. For employees this entropy could be anything from humankind resource forms to vacation day requests. For customers the information could be products obtaind, recorded grocerying calls, weather vanesit e fundamental interaction as well as a host of other fields.In 2000 Deborah Rowe an hold that centered on demarcation arcs force informationbase focus systems to greater growth. Rowe focuses on the entropy warehousing concept that has proved to touch a large majority of barter ineluctably in terms of information management. The focus of the bind is to exempt how ramp up is pushing for better and better systems for managing selective information. The word dialogue approximately how increasing emulation has created a run environment for info management. Companies that are complacent with their data are either failing or signal detection on to the unavoidableness for better interaction and usage of their data. Rowe delves into the changeover of choosing these systems from a collective stance.The challenges presented by this type of implementation are rather glaring. These challenges include upfront embody, long term appeal, and mismanagement of dat a. If a residential area chooses to implement a product that its employees dont attend correctly the effect tail assembly be devastating on the vocation. Hiring knowing employees to manage and implement the product is meaty to long term success. With all of these hurdles of implementing a database management system system the problem fag be daunting.Rowe discusses how the task of purchasing and im hark backting a DBMS choosefully to be through with great anxiety and a clear focus. If a patronage isnt able to look still scratch off the road and consider how the DBMS tramp be utilise in the hereafter day it testament fail completely. Having a perspective that encompasses as more than of the companies goals and visions is little. This is why companies are forever registerion for individuals that are able to focus on a detailed system still be able to at the uniform sentence look at the broader scope of the caller-ups call for (Rowe , 2000).In pith the article leaves the reader with an interesting perspective on the increasing demand for these systems. Rowe concludes that the ERP industry give grow and tremendous dance step in the afterlife. With that growth the pauperisation for companionshipable employees that understand the systems use and post register the data to affect crinkle demand result continuing to increase.The increasing collective demand. At its very fondness transaction is dictated by two simple concepts. These are the laws of revenue and expenditures. In business these two laws drive companies on a quotidian basis. Popular feel almost these concepts bottom some convictions s guidance in either burster. Prop atomic number 53nts may put all of their abet into revenue propagation fleck others will focus on creating the ameliorate lean business model.Whatever the theory or judgement is the law of revenues and expenses will remain the homogeneous. As discussed in this review the expenses of implementing DBMS systems and employing exceedingly skilled individuals faeces be massive. To a society that strictly focuses on the expense side of the equality these systems may seem the kindred a waste of precious assets. To others who understand the future and oc catamenia encroachment of these systems the purpose to use them is an easy one.Like the concepts of revenues and expenses the goals of a ships party buns dictate the perspective of business give-and-take units. The primer demand has begun to steady increase over the past decade is the capableness to affect both the expense and revenue side of the business social organization. credit line experience units are designed to support departments in ship course that can explode their current revenue production and littleening their expense habits.An article written by Ken Rudin explains how embodied demand for business recognition in their companies is steadily increasing. Rudin trounces about how b usiness intelligence has occasion a very high antecedence for business executives who understand the apprizes they can derive from business improvement. This demand has gr possess to the dot where integrated leaders are focusing on moving past the traditional business intelligence forgees (Rudin , 2007) .Rudin explains the implications of this circulateive thought help by paralleling the impact of bundle package applications that bundle products have had on industry to business intelligence services. The banter is focuse on how executives are looking into custom caller particularized ut to the highest degree result provided on an instant. This type business care for software is highly intuitive and seeks to provide all of the necessary tools infallible to work out an informed business decision.Examples of these on-demand solutions are softwares alike(p)s SQL Server Reporting function by Microsoft. This software allows for non all the display of information s imply the historical beat interaction with the data that the web services are disemboweling their gist from. Rudin discusses how these types of solutions are non only contagious fire they are exploding all over the business world. This explosion of demand is driven by the complexity of the data universeness pulled as well as the comprise associated with the data universe collected and stored.This cost and complexity equation is what Rudin call backs is the tell apart piece to business intelligence demand. Like the recitation of revenues and expenses the imagination surrounding on-demand solutions is the same. The read/write head asked is, What can these solutions do that allow a usual employee to do their line at a higher trade which in turns into a higher rate of return for their employer? cogitate Rudins article he discusses that a key fixings associated with on demand business intelligence solutions is the usability of the product. Having solutions created tha t users do not understand or lose self-confidence in can be a major drain on march improvement. Rudin emphasizes that the development of these processes ask to be through with(p) in such a way that they take into account the users that are interacting with them. This is necessary to developing a trust race between the users and the product (Rudin , 2007). Business intelligence service ToolsThe Role of ReportingReporting is one the just about essential pieces of and type of business process. If a conjunction sells laundry detersive it needs to know how much product it has, how much product it has sold, and how much it should produce. These one- trey simple questions speak to the ramifications of good insurance coverage data inside a business. at that place is so much information that is poised by companies with the singular intent of providing reports for business decisions. This gathering is done in a way that the information collected in stored in some type of horde&nb spwhich houses a virtual warehouse. Like a physical warehouse it is critical to understand how and where something is stored so that it can be retrieved for future use.When it comes to describe the challenge presented to businesses is the quantity and arranging of their data. If a business is unable to go for their data in force(p)ly they are sacrificing business opportunities every atomic number 42 the data is go away idle. This quandary has been analyzed and the solution has been to purchase and employee people and products to provide this data in a useful format for business use.In a business intelligence unit a data analyst will focus on runner apprehension the overall goal of a report request. This is all all- eventful(prenominal)(p) because the impact of creating something purely ground on the request can lead to disastrous results. These can roll from customers not understanding the terminology employ inwardly the reporting system to not grasping the capability or usage of the system being used to provide the report.To shop sure these requests are understand correctly a business intelligence unit is parklandly found implemented within a specialized area of the business. This cultivates a cross knowledge between the highly technical nature of the reporting systems to the broad scope goals of a event business department. This type of side by side interaction can be a major return to not only acquiring more hairsplitting and accurate reporting it also serves as educating tool to the department through exposure.An article written in 2005 by enkindle Debes explains this process in detail. The author of the article produces the discussion by emphasizing the splendor of timely and accurate data. These two pieces are the bread and butter of business intelligence. The reason for this is that both factors are highly mutually beneficial on each other.Debes explains this concept by focusing on the energy securities industry and the applicat ion of business reports in this area of industry. He shows that in that respect various periodic functions that are treated that are in need of constant monitoring to allow for efficient operation. Some of the manakins include repair requests, course credit collections, meter usage, demand fluctuations, and most all important(p) customers (Debes , 2005).All of the examples cited by Debes are common sense in nature but they supplicate an entire business process to efficaciously report on. Using the example of meter usage by having daily reports energy companies can identify issues found on real time data and not be forced to exhaust a catastrophe because of something as simple as mechanical fault. The problem could tardily be identified by a simple reporting tool that was programmed to accept a specific ply of usage. If the digress was violated the system would send an vital with a take of priority ground on the disparity of the ranges.The article written by Debe s is a good example of how business intelligence reporting can be implemented in ways that return the fellowship at levels of the unified ladder. From interactive financial data and harbingering to specific customer energy consumption and history reliable and accurate reporting in the energy industry is a very powerful tool that has been used and is being continuously improved upon for future endeavors (Debes , 2005). Impact of data driven predictionForecasting is an important an element of any business. At its most basic level it is hardly looking to the future and fashioning guesses to a specific result establish on past and present data. This is where the role of business intelligence arrives. entropy analysts like their namesake are paid to look at data and decipher how that data works and relates to the business.Once a data analyst is able to firmly grasp confederation data they can provide official advice establish on the knowledge of that data. In addition to pr oviding advice the data analyst can create reports that take past data and engage estimations programmatically found on determinable trends. These reports can be provided through an intermixture of softwares and displayed in formats that topper fit the target audience.Having a system in place that looks to past data and provides useful forecasts can not only give a company an judgment of where they are termination they can also give an idea where their contestation is going as well. This ability to compare company performance to the securities industry and project where the company is headed is critical. With timely and reliable prediction a company can choose opportunities and threats within the marketplace onward they even occur.With market competition becoming more and more intense the role of forecasting has been prioritized highly by most companies that operate on a large scale. This is clearly back up by an article written by Susana Schwartz about the greater n eed for more robust forecasting technologies. The concept of the article focuses on the following(a) level of forecasting that business intelligence units are pursuit to achieve.The author talks about how the next set of tools utilized by business intelligence units will be coordinated into the business processes that have already been fixed down. The key factors that are emphasized are the broad categories that these tools can influence. Examples of these are products such as SSRS by Microsoft, ARGOS by Ellucian, and summit by Oracle. to each one of these tools provide gamy interaction with business process data age still being able to be applied to other categories. These tools are used to be the developing platforms that take the business process driven data and formulates it into reportable information used for forecasting. In the article these are the types of tools that Schwartz describes when talking about integrated and real time driven tools (Schwartz, 2007).Concludi ng the article by Schwartz she emphasizes the entertain of report generation. She talks about how even if the emphasis might be additional the need to focus on this factor is critical to accurate forecasting. This is because all of the past data collected is contained within the reports. Schwartzs realizes that for business units to understand any of the forecast data they need to be acquainted(predicate) with the data that has been collected and displayed within the provided reports (Schwartz , 2007). Data abstract and ImprovementThe core of what business intelligence does is data analytic thinking and improvement. some(prenominal) of these factors contribute to each other in a never ending whorled of push and pull. When data is analyzed it is used to improve a process which in turn is analyzed. With this concept firmly in place understanding the role of business intelligence becomes clearer.As the facilitator of depth psychology and improvement business intelligence units a re accountable for the flow between the two actions. When a department senses a need for psycho abstract or improvement the business intelligence unit is used to facilitate that action. This righteousness to facilitate these actions is what drives the demand by in somatic leadership. As expressed earlier in this review having units that are constantly looking at moving the expense line down and the revenue line up is very beneficial a corporate entity.An article that was created in response to a seminar on business data compend describes how this process is essential to the dodging development and future readiness of companys establish on data analysis. The article provide insight into a duet areas within the sphere of data analysis. sensation of these is building the foundations and structure of the refinement within the company to respect the data and nonplus decisions off of it (Computer software .., 2012).This full-length concept of creating a decision based culture is driven by the need for action in the market. If a company fails to take action on its corporate dodge it will fall behind its competition fairly pronto. The article discusses how through data analysis an attitude of decision making individuals can be created to levy action.The key of this data driven culture is the analysis that goes into making the data credible. Without credible data the ability to make decisions quickly and strongly is crippled. If employees cant trust the data they are working with they will lay out to question the entire foundation based on a single data set. In addition to data analysis the article talks about  improving recruitment through data analysis tools. Being able to create a clear picture of who a person is forward the expense of bringing them in for an interview can be a great time and money saver. This is done through versed and external data analysis (Computer software .., 2012) .Once query is done on an individual the business intel ligence units can categorize potential recruits and provide reports based on recruiters specifications. If an piece manager needs someone with tether years of experience and a knowledge of a specific software system a tool can be created to provide that data in real time to the inquiring party.When it comes to data analysis and improvement making sure that they are used in conjunction is essential for seamless implementation and continued success. An example of poor usage is providing a abstruse and detailed report within a system that cant cope the data correctly. Even though the data itself is good the system used for improvement is poor. This can create animosity towards sure products and mistrust in data (Computer software .., 2012). Data managementThe term data management is something that has been thrown around industry the past few years. When this happens the real gist of the terminology begins to take on a life of its own based on the perception of those trying to com prehend its unbowed meaning. A clear way to explain what the definition of data management is to show the similarities between an industries accepted practice. Like employee management data management requires a certain(a) style to correctly guide the direction of the data. In a department backdrop a manager may spend time developing a plan that their employees will play specific roles in. The same is true with data management. Depending on the setting and usage data is set deflexion in specific formats to meet highly granular needs. A good example is list of information that is associated with a companys employees. The data will halt the same but it requires a level of management to break into specific formats to meet different needs. The human recourse department might need the list as a reference sheet to pull information about quickly and efficiently. That same information could also be used by the employee development department to conduct surveys and gauge employee s atisfaction.These examples are very manifestly but they do provide a good idea of how managing data in a succinct and efficient way can broaden its usage and usability immensely. There is an article written in the daybook of Digital Asset Management that describes the role of business intelligence on data management. This article provide a brief look into how the emergence of big data has pushed an emphasis on utilizing business intelligence units to provide levels of data management. The article talks about how business intelligence is start out to play critical role in the terminus, maintenance, and usability of the data. These leash factors are critical in guaranteeing the reliability of information collected and scour for company use. The first-class honours degree of these factors briefly mentioned is the storage factor. Arguably the most important of the three storage is the bucket where all unstructured and structured data is stored (Jordan & Ellen , 2009) . inwar dly the context of the article the authors describe how storage is the first step that business intelligence units have to consider when managing data. The tasks associated with this piece range from creating feeds to port information from various databases to creating tables and views within specific schemas.Within these tasks the question that is constantly asked is the question of available space. This question permeates each of the three factors but is most universal at the initial of data management. The sanction piece is the maintenance portion. This factor is most prevalent once data has been stored and bang-up into a usable manner. The article shows how this debt instrument is what keeps business intelligence units in a critical role to companies data management needs. The tasks that occur with data maintenance can range from eliminating old data, archiving, inputting new systems, and creating methods to come on more efficient data convalescence and reporting. The las t(a) exam factor channelize in the article is the factor of usability. This concept is what non-IT personnel will focus most of their attention on when looking at data resources. Business intelligence plays critical role in getting the data into an graspable and usable format at the customer level. This is the defining piece of business intelligence focus. Employers look specifically for individuals who are able to translate the technical data from a database perspective and be able to make that information as clear as possible for non-information technology users (Jordan & Ellen , 2009). familiar conversationsWhen considering things that business intelligence employees should do well is internal communications. In numerous companies business intelligence units will be the ambassador between the data and the customer. These individuals are obligated for understating the customers needs from an IT perspective. Once the needs have been regaind the customer needs to be made aware of how besotted or far away from their skipper needs are to the ones seen by the business intelligence personnel. Being able to discern what a customer needs is passing important. The emphasis placed on cultivating powerful communications between all parties is absolutely critical to getting the information needed to create or improve business processes. There are so more adverse situations that occur within corporate setting that could have been avoided by simply establishing channels of communications with involved parties. A good way to do this is to provide updates on the progress of the project. This can done by collaboration software, email, phone calls, and bet to face interaction.By establishing a working and efficient internal communication structure customers are more at ease with the progress and process being developed. This is fundamentally a status gauge that shows that all parties are involved and have a say in what is happening. An article released by pre ss wire gives a good example of how companies are understanding the splendour of internal communications and the role of business intelligence in it. Based on the trends within industry the article shows how the shift of technology has affected the way internal communications are done between IT and the various corporate departments. What has occurred in recent years is the need for new strategy development with business intelligence as key factors in these strategies (Business intelligence..,2001). From a corporate stand dapple these new strategies have ushered in a different perspective of IT individuals in the workplace. No longer are individuals that work with databases left out of conference calls and run intos that escort company direction.The article clearly explains that the need for individuals with technical and corporate goal understanding need to have an opinion in new processes and strategies. These individuals are becoming more and more important because of their p erspective on how technology is being used in the marketplace. The lowest portion of the article by press wire addresses an important decision the transitioning companies have to make. The authors emphasize that decisions makers need to reshape their perspective of units like business intelligence and truly apprise the opinions that are being shared. If this perception of the average IT worker from the 1970s continues to permeate a companys upper level management the likelihood of less opportunities and more threats to occur is much more likely than competitors who are understand the shift (Business intelligence..,2001). Business Intelligence witFrom a sustainable field view the question has been raised is whether business intelligence as a field is here to stay. In any profession this question has been and will be asked as the world changes. No profession is one hundred percent guaranteed that the field will continue to be useful to the society in which operates. This simp le truth puts into perspective the dainty of any profession.In regards to business intelligence determining whether the field is going to progress for years to come is difficult. Currently, the demand for business intelligence employees and or software is shortly high. With many top competitors in various industries searching for ways to cut cost and improve efficiency the current market outlook is good.On the flip side of this equation the risk for business intelligence to improve itself out of a job is a definite possibility. With new softwares being created the technical barrier created by big data is beginning to slowly fall. The threat to the field is that companies will purchase a customer based software that provides cookie cutter reports that can be used by non-IT users to make business decisions.An article by the journal of ledger of foreign Technology and discipline Management touches on this topic and describes how measuring the effectiveness of business intelligence on a company can moderate its future market outlook. The authors take a detailed look at how in some situations a business intelligence department has been effective for some companies while for others the effectiveness has been limited (Vinekar,Teng, & subgenus Chennamaneni , 2009).The important factors that the authors cite for effectiveness center on corporate understanding of the role of business intelligence, implementation, defined goals, and perceived rate opinion. from each one of these factors are cited because of they are all stirred at the bloodline of the business intelligence unit within the company. Without these factors being addressed correctly the ability for a business intelligence unit to operate efficaciously is severely hampered.The first of these factor is the indistinguishability of the department. Just like meeting a person for the first time the burden created on the meeting is what defines the perception of the kin. The article talks about how it is the responsibility of those implementing the unit to clearly lay out the receipts that the department will bring to the company as a whole. These individuals include directors and manager.This push stage is the first step in gauging whether business intelligence will be effective within a company. If corporate leaders understand the benefit of the unit and put their support behind it the initial reaction is more likely to be positive than prejudicious. The watchfulness that is applied to this variety is that if there isnt top down approval the unit will not succeed. The authors strongly emphasize the need for an executive push at the inception of the business intelligence unit (Vinekar,Teng, & Chennamaneni , 2009).The chip factor discussed by the authors is the implementation shape of a business intelligence unit. This is the first step to making a contrive effort for a business intelligence impact on a company. The authors talk about how this course needs to be handl ed in a way that allows for warm impact. The rational for this approach is that if the business intelligence unit can prove its nurture at inception the perceived value of the unit will be cemented in its early success.With this approach the authors also caution at the risks involved. If the unit is not inclined(p) the likelihood of error is high. Just like the perceived value of the unit based on a positive rollout the same can occur for a negative one. The authors are adamant in their idea that to make a good impact the unit needs to be watchful and aware of the tentative situation in which the unit is placed on the onset.The third factor is defined goals. The unit needs be able to clearly express their goals for improving the companys internal and external business processes. The article describes how the focus of the department needs to be grounded in the goals and direction set at the onset. This allows for an nimble understanding of what the unit hopes to achieve. The authors caution that without clear goals for the department the unit will not be able to work succinctly.The final and most important factor discussed in the article is the perceived value opinion of the business intelligence unit from the rest of the company. This perceived value is critical for unit to be able to provide opinions and certain(p) data. The reason cited by the authors why this value opinion is most important is because the opinion can be had by every employee within the company. The simple truth is that with more eyes watching the unit there is a higher level of follow-up applied to the actions done by the business intelligence unit (Vinekar,Teng, & Chennamaneni , 2009). departmental Goal ImpactIn most businesses the unit structure is upset(a) out into various departments that meet company specific needs. Examples of these include accounting, budgeting, marketing, human resources, R&D, and many more. These departments all do things that are compositors case specific but require a certain level of crossway with the rest of the company. For example the budgeting and accounting departments are joined at various stages of the financials that the company uses.Having an understanding of these departments is very important from the perspective of the business intelligence unit. The reason business intelligence units need to grasp the subject impact as well as overall impact of departments is because the processes built unremarkably touch more thanone specific department. What this means is that a data analyst needs to be able to determine what is best for not just one department but for all parties involved.With a macro perspective of the company the business intelligence units are able to impact broad groupings of departments. This in itself is a big benefit to the company as a whole. The reason for this is because the improved processes help promote better interaction between departments. This is like connecting various standalone silos to each other with an concur on process.An article that addresses this departmental impact comes straight from the Business Intelligence Journal. The whole premise of the article is the authors argue that by assimilating business intelligence units into departments these units can change the departments core business practices. This can be done by ingraftding individuals from the business intelligence department into other departments through the company (Elbashir & Williams , 2007).The authors lay out a plan for making sure the company gets the best benefit when the embed business intelligence personnel in a different department. The authors talk about how it is important to make sure an understanding of the units function is clearly laid down before the unit is implemented. The importance of this is that the departments understand the business intelligence units are not directly under the units they are enter in.The article makes it clear that to make the relationship work be tween the BI unit and the department the BI unit cannot be under the department they are servicing. The rational for this is that if the BI unit is under their own department they will be less inclined to favor a department when building a business process for multiple departments. This is important because it allows the business intelligence employees to say no to things that might be requested out of ignorance or selfishness.The stand by step for success when embedding a BI unit is to establish the relationship. The authors describe how important it is to set up the way communication is supposed to occur. In most situations it is important to have the directors of the department as the individuals responsible for setting up the proper channels. The benefit of this is that it forces employees to acknowledge the support of the departments directors. This means the BI unit will be able to get the information they need from department employees to formulate effective business pro cess improvements (Elbashir & Williams , 2007).The final piece that the article discusses is how much valuation reserve the BI unit has to make departmental decisions. In some cases the BI unit make most improvement decisions based on technology understanding and departmental trust. In others the unit has little gross profit margin and requires approvals from the department to enact improvements. Whichever way the process is set up it is important to have that clearly explained and understood by all parties involved to avoid confusion (Elbashir & Williams , 2007). Tiers of maturity. In the business intelligence community there are various levels of maturity associated based on the length of time the unit has been in service to the company. Each of these levels are determined based on the progress the unit has made. These level begin at inception and end at forecasting. It is important to recognize these levels to determine the progress the department is making in the company that it is being utilized in.These levels are broken out into three specific categories. These are the inception course, the break even stage, and the forecasting stage. Each of these stages is unique and presents its own set of challenges to the business intelligence unit. The most critical phase is the inception phase. Since this phase is what spawns the impact that the BI unit makes it is critical that it goes well.During the inception phase of the unit the challenges presented center on assimilation to the company. The unit must be able to find their place within the work environment if they are going to effective in the company. By analyzing company needs prior to actually meeting and planning with departments the unit can have a head start on how to make an immediate impact on their departmental customers.The second tier is thoroughly described in an article by a group of authors writing for Information Technology and Management. This group of authors describes how the second phase of maturity is centered on getting to a point of break even. This term refers to the business intelligence unit being able to complete/automate bounteous critical tasks that they are able to look begin forecasting (Zeng & Duan, 2012).During this second phase the authors stress the importance of physical structure and performance. These two ideas are what the authors believe drive the unit towards a proactive outlook and away from a reactive mindset. This transition of thought processes is what make this phase important. Once a unit can break though to a state of mind that is forward looking they can begin to develop ideas that will prevent problems before they happen and predict future opportunities before they occur (Zeng & Duan, 2012).The final phase is briefly addressed in the article and deals with the forecasting and future opportunities phase. This is tier of maturity that each business intelligence unit strives to get to at some point in its existence. W ith this phase the unit is able to think more creatively and follow leads and trails into data that could provide beneficial to the company (Zeng & Duan, 2012).The conclusion makes a final point in regards to the level of maturity. The point made is that these levels once attained are not concrete. With the ever changing needs of the company as well as the creation of new technologies the department can easily waver between different tiers. The authors suggest that having a proactive approach is the best way to stay at the highest level of maturity for the longest periods of time (Zeng & Duan, 2012). Marketplace perspectiveThe final point of this literature review centers on the industries perception of business intelligence as a whole. This perception is what drives the demand for business intelligence within the manpower. If industry believe the benefit of a business intelligence department is greater than the cost therefore demand for these units will be high. If the value garnered is perceived as minimal then(prenominal) the field will falter. The real question that the marketplace has been asking falls on longevity. There has been speculation the technology will eventually push this field out into the cold. This would be done by platforms that copy the various functions and responsibilities that are currently being held by business intelligence employees. If this happens the need for large quantities of analysts would no longer be needed. An article written by Chen talks about the perspective of business intelligence by outside entities. He looks at how a business intelligence unit can provide a competitive proceeds to a company based on the light it pass ons.He argues that by having units that can provide data quickly the competitive advantage created is enough to sway popular opinion into the positive (Chen, 2012). Chen talks about the need for business intelligence units and his belief that the agility of these units will continue to d rive demand. His entire argument is based on the units ability to adapt to new technology and processes quickly enough to afford decision makers consistent windows of opportunity. Chens belief is that no matter how innovative technology gets the need for individuals to understand and communicate it to decision makers will forever and a day be needed. Chen concludes by describing how business intelligence units need to maintain a high level of flexibility. He addresses the issue of complacence and warns that if laziness creeps into the department then shifting technology will dive the department. The real value is the ability to quickly analyze and develop a well thought out process that improves the current one using the existing resources at their disposal (Chen, 2012).ConclusionBusiness intelligence at its very core is business process improvement. This can be done through many different ways but the concept never changes. An individual working in a business intelligence depar tment always ask the question, How can I make this process better? This simple phrase is the core of what business intelligence is and what it will always be. There are many companies that understand the importance of business intelligence. These companies have realized how important it is to strive for a lean work environment. This is achieved by isolating areas of work that can be automated or improved through the efforts of business intelligence units. The impact that can be made by tasking a unit to think through a process from every perspective and redesign it to meet current needs can be a massive benefit.In conclusion, there are many areas in which business intelligence can be utilized to benefit a company. From data management to data security business intelligence departments are meeting the needs of companies as todays technology moves double-quick and faster into the future. It remains to be seen whether these units will become a staple of the workplace but their cu rrent impact has been instrumental to the information technology industry as a whole.ReferenceBank of america company statistics. (2014, March 3). Retrieved from http//www.statisticbrain.com/bank-of-america-company-statistics/ BUSINESS INTELLIGENCE indispensable communication excellence is critical to business success. (2001, Jun 29). 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