Information Systems Management
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In general terms, cloud computing is a type of internet based computing which provides shared computer processing resources and data to computers and other devices when required. It is also considered as a model which enables universal and on-demand access to shared pool of configurable computing resources. Cloud computing as well as storage solutions provide users and enterprises with various capabilities to store and process their data in third party data centers. That may be located far from the user- ranging distance and it may also change across the world (Remenyi and Sherwood-Smith, 2000).
The concept has been used at Blockey Consulting for sharing the resources to achieve coherence and economy of scale over a specific network. Most of the companies’ claim that could computing allows them to avoid up- front infrastructure costs. It also enables to focus on their core businesses instead of spending time and money resources in computer infrastructure. In the present case of Blockey consulting, the concept of cloud computing is utilized as a way to get their applications up and also to make them run faster with improved manageability and less maintenance (Bazzichelli, 2009).
Big data is used for data set which is so larger and complex and which also provides traditional data processing applications. It includes use of predictive analysis, use behaviour analytics and other data analytic methods that extract value from data. Further it focused on particular size of data set that can be used for preparing different projects (Rouse, 2002). The size of big data determines the value and potential insight and it also ensures to provide accurate and relevant information about big data volume. It is highly associated with speed at which the data is generated and processed to meet the demands and challenges prevail in the path of growth and development.
Mobile platform is a generalized term that lies under digital platform which is useful in performing different business activities and functions. The source is highly useful for Blockey consulting because it aids in grabbing information about the market trends and patterns. It has been observed that an integrated digital platform provides solutions to the business entities regarding the promotion of services in various market places (Benefits and Disadvantages of Developing Cross-Platform Mobile Apps. 2013). Hence, digital platform is indeed a source of business promotion in which chief emphasis is laid upon promoting services of Blockey consulting.
Big data is a broad concept which aids the business in catering relevant information regarding the customers preferences, market trends, hidden correlations and other relevant business data. It is a source of Business intelligence as it assist in collecting several information for the organization. Business Intelligence is the process wherein the owners and other corporate authorities are concerned with deriving and accumulating data from several sources. These information are used in making varied decisions which can further be help the organization to grow and prosper. Therefore, it can be stated that big data is a major source of business intelligence through which information can be catered. In regards to the present chosen organization that is Blockey consulting its aids in making various decision of the firm (McAfee and et.al., 2012). It provides varied consultancy services to big business person so the data collected from the big data regarding the correlations and hidden patterns pertaining in the market.
Moreover, it assist the owners to introduce particular products or services in the market that assist in gaining competitive advantage to the other organization (Chen, Chiang and Storey, 2012). In addition to the above, it uses several methodologies and techniques through which data can be processed very quickly regarding the competitors strategy, policies, etc.
Cloud computing provides opportunities to blockey consulting to great extent. As traditional methods of managing information were having many drawbacks. As in the previous time people were used on using manual methods to keep records safe. In these methods errors and inconsistency in data entry were the common problem with traditional methods. The information managing system was much more depended upon the individuals of Blockey Consulting. Some time it takes too lengthy time for completing managing documents (Benefits and Disadvantages of Developing Cross-Platform Mobile Apps. 2013). Traditional methods were very costly and it requires physical space and increases chances of mistakes in the organization. Duplication of data entry was the common error in traditional information system. As compared to cloud computing method provide opportunity to Blockey Consulting to great extent
As cloud computing provides mobile ready connections in which files can be stored remotely. Whenever it access internet connection, company can directly connect to the main part and main update new information automatically. This automatic up-dation benefit of cloud increases productivity of employees as they do not require to spend valuable time on installing or other things (Chang, 2016). So it saves time of employee and in that duration they can work for enchaining the revenues of he Blockey Consulting.
But sometimes it creates challenge FOR blockey consulting because whenever company is unable to access internet then it will not be able to use any application which will harm he production and operation of he company. Data of organization can be hacked by hackers as because when multiple users are hosted the single server then hacker can harm the important information which an create challenge for the firm. It this respect manual traditional methods can be beneficial because in this, company can keep secure its data.
Big data method is far better than traditional information systems. Hadoop and cloud- based analytics can give opportunity to Blockey Consulting. It can provide cost advantage to the firm. As compare to traditional methods such as data warehouses and marts were very expensive. And Big data and this earlier tools have difference in functionality. Operations of Big data are quite impressive which reduce the cost of the Blockey Consulting. This techniques help to store vast data at one time so saving of time is another great opportunity provide by this modern technology (Falkenberg, Hesse and Olivé, 2016). As Blockey Consulting has all details of its customers so with the help of this advanced software it will be able to take effective decisions. Whereas traditional methods are time consuming and it is difficult to understand needs of several consumers by using traditional techniques. So it provides huge opportunity to firm, it can understand behavior of job seekers and can identify their needs. This will help to meet with the requirement of clients.
But on the same time it creates challenge for Blockey Consulting because for adopting this techniques, it will have to modify its data flowing approach which means logistic issue is the big challenge for he firm. It is required to have capability of conducting sophisticated analyses but if it fails to manage real time analyses accordingly then it can create problem for the firm.
The Blockey Consultancy is using the Probabilistic graphical modeling techniques to collect and store the data. As per this methodology the organization uses large sized probability samples and algorithms to produce a relevant information that can be used by the another business person. This done via the means of Bayesian networks and Markov networks (Mayer-Schönberger and Cukier, 2013). These techniques and methodologies are used to resolve the real life troubles by using integrated learning system, heterogeneous data and imbalanced as well as big data learning. The procedures used to store the data have been enumerated here-under:
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