





































































Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
This is assignment of business intelligence.
Typology: Assignments
1 / 77
This page cannot be seen from the preview
Don't miss anything!
Evaluate how organizations could use business intelligence to extend their target audience and make them more competitive within the market, taking security legislation into consideration.
Part 1 Produce a presentation which
In business process first of all we have to know about purpose of business process, why was it created? How will we know if it is successful? Step 2: Plan and map your process. In second step we have to know what are the strategies needed to achieve the goals? And need to make broad roadmap for the process. Step 3: Set actions and assign stakeholders. To conduct successful business process, we have to identify the individual tasks for teams and machines need to do in order to execute the plan. Step 4: Test the process Testing is the experiment of design process whether it works successfully or not. So, we have to run the process on a small scale to see how it perform. Notice any gaps and make adjustments. Step 5: Implement the process After successful testing of the process, we can implement the process that means start running the process in live environment. Properly communicate and train all stakeholders. Step 6: Monitor the results Monitoring the process is review of the process, analysis of its pattern and documentation of the process history. Step 7: Repeat If the conducted process is effective and successful to achieve the goals set, we can replicate it for the future processes. Example of business process As an example, let’s take the content marketing process. It’s a process you’ll find in every marketing department out there. The issue is, it can be rather hectic and chaotic unless you know the process. There will be writers, designers, SEO experts, and web designers, all working together to create a single piece of content.
Naturally, this involves a lot of steps and communication. Although this can vary from organization to organization, the basic steps would be as follows. ➢ The content writer would receive the draft and write the content, whether it’s a blog article or piece of copy. The first draft is written and reviewed to create the final draft, which is then passed on to the next person in the workflow. ➢ The editor reviews the content to ensure there are no grammatical or copy mistakes in the content. Once this is done, it moves to the designer. ➢ The designer takes the content and adds any infographics or images suited to the content. ➢ After this, the SEO expert reviews the article to ensure that keywords are all present as they should be, and if needed, make any changes. ➢ Once that’s done, the article is published on the internet, with the marketing team promoting visibility. If the content is copy work, then there’s an additional step for the web engineers to code the website for the changes needed. Business processes categories: On the basis of company, industry, organization and nature of work, business process are categorized into different types and category. Such as:
internal communications, governance, strategic planning, budgeting, and infrastructure or capacity management. Supporting processes Support processes are defined as those processes in the organization which enable the optimal performance of the core organizational process. Since they support the main processes, they ensure the business resources in the quality and quantity needed, ensuring the quality of resource supplies or support services and covers the overall effective functioning of the organization. It provides some of the underlying activities and concepts that are needed to support of all the other categories. Support processes support the adoption and ongoing maintenance of all of the data organized processes described in the document. Areas of supporting process Supporting process possess the following process areas.
❖ Corporate governance processes. Unlike core processes they are relatively similar in different types of organizations. Support processes are usually more complex and complicated in larger companies, because more people are involved, organizational structure is taller, and so. Whereas in small companies only one person can be responsible for a particular support process or activity. These processes do not directly generate value to the customer. Having said that, the support processes are also vital for the enterprise. The processes like management processes, accounting processes, and human resource processes facilitate the working of an organization. Enhancing these processes means making the fundamentally and strategically strong. Although the support processes, do not add value to the client directly, they help in developing a solid working environment. (ManagementMania.com, 2019) Differentiate between unstructured and semi- structured data within an organization. Data is a raw information or unorganized form that represents condition, ideas or objects. It is limitless and occur everywhere in the universe. In business intelligence data can be in different forms such as structured, unstructured and semi-structured data. Unstructured Data Any data that does not have a recognizable structure is known as unstructured data. Unstructured data is unorganized and raw and can be textual or non-textual data. It is information in many different forms which does not hew to conventional data. One of the most common form of unstructured data is text, it generates and collects in wide range of forms, including word documents, email messages, PowerPoint presentations, survey responses, from blogs, social media sites, etc. Because of its nature, unstructured data isn't suited to transaction processing applications, which are the province of structured data. Instead, it's primarily used for BI and analytics. (SearchBusinessAnalytics, 2019) Semi-structured Data Data that is neither raw data, nor typed data in conventional database system is known as semi structured data. Semi structured data is somehow structured data but it is not organized in rational model, in a table and object-based graph. Semi-structured data lies somewhere between structured and unstructured data. It is not organized in a complex manner that makes sophisticated access and
Unstructured data is not based on Schema. It is not suitable for relational database and 90% of unstructured data is growing today. It includes digital media files, Word doc., pdf files and stored in NoSQL database. Semi-structured data includes e-mails, XML and JSON. Semi structured data is not fit for relational database where it is expressed with the help of edges, labels and tree structures. These are represented with the help of trees and graphs and they have attributes, labels. These are schema- less data. Data models which are graph based can store semi-structured data. MongoDB is a NOSQL model that support JSON (semi-structured data). Data consist of tags and which are self- describing are generally semi-structured data. They are different from structured and unstructured data. Data object Model, Objects Exchange Model, Data Guide are famous data model that express semi structured data. Concepts for semi-structured data model: document instance, document schema, elements attributes, elements relationship sets. (Google.com, 2019)
Semi-structured data is not based on Schema. It is represented through label and edges and generated from various web pages. It has multiple attributes. Hence, in my company I can organized those kinds of data successfully. Evaluate the benefits and drawbacks of using application software as a mechanism for business processing. Application Software: Application software is a software which is developed to help the user to perform specific tasks is known as application software. It is created for a specific purpose. Business intelligence application software is a set of tools used by companies to retrieve, analyze, and transform data into meaningful information. It includes data visualization, data warehousing, dashboards, and reporting. Word processing software, Database programs, Entertainment software, Business software, Educational software, Computer-aided design (CAD) software, Spreadsheet software etc. are some example of application software. Also, ad-hoc solution, simplified workflow, full BPM, custom application software etc. are application software uses in business processing mechanisms. (Technologyadvice.com, 2019) Benefits of application software using in Business Process: Following are some benefits of uses of application software in business process mechanisms.