COMP 30026 Business Intelligence and Analytics Assignment - Middle East College, Oman

Learning Outcome - Apply the business analytics life cycle/process (identify the problem, describe the data, analyse the data, interpret the results, and make presentation on recommendations).

Question - Select a company, evaluate the business process and propose a new / improved business intelligence and analytics.

Answer - BUSINESS INTELLIGENCE AND ANALYTICS

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Company - TAMNET

Proposal

Expected deliverables

Business Intelligence or BI helps different organizations dealing in the international market to make decisions that are better with the help of a variety of methods and tools; Data Analytics concentrates on the algorithms that help to determine the relationship that is present between the insights of data offering. Together they have been able to bring huge transformations in the IT-based industries all around the world, and in Oman as well where customer analytics are considered rather significant. There are various trends that have been introduced and the company TAMNET.IO has been able to leverage through it and have improved their rate of growth as well. The discussions will focus on the aspects of Business Intelligence and Analytics in the case of TAMNET.IO and the changes that can be incorporated for further improvement.

TAMNET.IO is a company that is known as SaaS or a Solutions-as-a-Service firm that has leveraged its status for 40 years and more in the IT sectors, and specifically in IT applications, business, and data. In the year 2017, the company was able to develop the significant Oman Competency Assessment Platform, which is an HR assessment Saas of competency that is proprietary cloud-based that can harness big-data analytics' power for the management of the work-force as well as for development (Larson & Chang, 2016). A proper business analysis plan can be formulated to discuss:

• The scope of the work
• The methods to be applied
• The stakeholders and deliverables
• Requirement management and communication.

The feasibility report provides the technological considerations for the improvement of customer analytics, the strategies of the financial projections, the marketplace, etc.

The main questions that have to be asked in this paper are as follows:

1. How can business intelligence and analytics be evaluated within a firm?

2. Can a new process of business be proposed for the improvement of business intelligence and analytics performance with a company?

Solution approach

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According to Fan, Lau, and Zhao (2015), a new and improved framework for the development of the firm can be proposed along with a comparison to the existing process and to the processes used by competitive organizations. Business process management can be merged with BI in order to produce Intelligent Processes for the firm (Fan, Lau and Zhao, 2015). Developing business processes is further required through:

• Documenting and baselining the goals and the processes of the business.
• Identification of the key processes.
• The importance of legacy technology to improve the process.

As stated by Larson & Chang (2016), building a business process management or BPM can help to track, analyze and process the performance of strategic goals. Proper qualitative analysis has to be done to be able to deduce techniques for an effective and efficient business model. Capitalization of the trends such as AI and the consolidated viewing for all the consumers can be devised. Understanding consumer behavior through communicative intelligence is the key.

Timeline

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Report -

Introduction

In order to keep up with the advanced and changing trends of the contemporary world, organizations have strived for the help of software solutions that are advanced in every way possible to help them keep afloat in the industry. This helps firms like TAMNET.IO to manage profitability as well as be ahead in the competitive world. The tools of business intelligence and of business analytics as well provide the possible solutions of management to firms like TAMNET.IO. The discussion, therefore, of the report will focus on these aspects and how the changes in the trends and techniques of the tools and processes have affected the firm in different ways.

Current Business Process

It is quite difficult for a growing company to always keep up with the changes in the business processes. In order to be able to improve the processes continuously, firms such as TAMNET.IO has to incorporate robust and complex supporting systems within their operational units (Polyvyanyy, Ouyang, Barros & van, 2017). However, the firm has been achieving quite a few milestones in the last few years and has evolved with a matured and high-level business process management. They are able to maintain quite large repositories of the process model that is able to represent the significant data of all their operations. They employ three different types of business process analysis within their firms, such as performance analysis, validation, and verification. The firm uses the data, which have been gathered systematically known as process intelligence and this helps in the analyzing of the operational workflow and the business process (Polyvyanyy et al., 2017).

The business processes that are used by the firm TAMNET.IO involves analytical methods that are advanced and technologies that are emerging. These include:

• Business intelligence methods or systems
• Predictive analysis
• Business activity checking or monitoring
• Behavioral pattern identification or recognition
• Simulation types are known as "what-if"

The firm, which is situated in Oman, utilizes the business intelligence that is driven by big-data from various ecosystems like the telecommunications assisted mobile value added facilities and services to the platforms for capacity building of the human resources (Howson et al., 2018). The flow of the business processes is diverse and heterogeneous in nature and involves the business process execution language or BPEL, ERP systems, engines, workflows, and more. The business process involves providing technology and local business support to solutions as well as includes service and project delivery management, L2 customer and technical support and business analytics to all the subscribers of the firm (Howson et al., 2018). The system of business analytics process further includes the telecom networks, large business enterprises as well as system integrator firms or companies that handle areas like:

• Market intelligence
• Project Scoping
• Operation setup
• Partnership mapping

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Comparison of business intelligence system /analytics/process of particular companies

There are a number of firms in Oman that have established themselves as the leading companies in the market that deals with Business Intelligence and Analytics (Sun, Sun & Strang, 2018). The competition to survive successfully and to sustain in the world with growing technological advancements is quite challenging for all the firms. However, the acceptance and the adaptation of these technological trends and the newer and better intelligence systems are vital for companies such as TAMNET.IO and IOTAP. Both the companies use the tools and the techniques of business intelligence and analytics in different ways but have managed to be successful individually (Sun et al., 2018).

TAMNET.IO involves big data analytics in the services they provide and serves as an advisory for digital transformations of different companies by collaborating with them and by building partnerships. The company provides techno-commercial services and support as well. They utilize the processes in the following ways:

• The leveraging of the big data analytics for the actionable insights as well as for monetization applications (Dedic & Stanier, 2016).
• Providing advice to different enterprises for transforming digitally with proper strategies as well as road maps.
• Giving insight into the dynamics of the local market for the optimum growth of the service uptake.
• Handling the service requests and the customer complaints too.
• Managing and giving pieces of advice on the initiatives that are new along with improved deployments and integrations.
• Testing of the user acceptance, quality assurance and monitoring too.
• The development of digital ecosystems and solutions as well (Dedic & Stanier, 2016). It further gives a development aspect to the Oman Competency Assessment Platform for the industries of gas and oil through the help of a tool of human capital intelligence. It has also created the first ecosystem of digital telecom in Oman.

IOTAP is a company that is established in Oman as well and is an IT Consulting and Software Services Company. The firm believes in connecting, collaborating and communicating. They provide cloud services that are integrated and the Microsoft Cloud Accelerate Partner is able to provide services of Office 365 to help the customers use cloud quickly and in turn save money (Gandomi & Haider, 2015). The aspect of Microsoft Dynamics 365 helps in the acceleration of the digital transformation required by clients. The aspect of business intelligence and analytics helps the firm to provide various services:

• Supporting the reporting and the analytical styles of all the business executives using business intelligence.
• Activities such as ad hoc querying, data visualization, reporting, predictive analysis, spreadsheet integration, online analytical processing or OLAP, and data mining as well (Gandomi & Haider, 2015).
• Access to the standard form of clean, current and comprehensive data for analysis through updated analytical methods like prescriptive or predictive analytical tools.
• Support and implementation of processes of data governance.
• Semantic layer formation that is business oriented.
• Cloud computing and the internet or intranet portals.
• Business process automation
• Infrastructure and networking.

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All these aspects have helped the firm to be an expert in the business processes as well as in technology, and that has made them operationally effective and financially strong (Gandomi & Haider, 2015). Therefore, the firms dwell within similar areas of trends and technological advancements but have incorporated the concept of business intelligence and analytics is different forms.

Data analysis and data collection framework

The data collection, as well as the data analytics framework, provides a certain amount of visibility into the business processes of the organizations dealing with business intelligence and analytics (Grover, Chiang, Liang & Zhang, 2018). It helps the supply chain through an improved form of customer interactive methods. The performance metrics of the firm has to be aligned with the business processes as well as the activities of the firm to secure a form of sustainable competitive stance and strategic positioning as well. The analytical frameworks have the capability to embrace the differentiation and the innovation of the balanced scoreboard in order to enhance the value (Grover et al., 2018). Data has been analyzed using the qualitative method through studies of peer reviewed articles. The analytics framework goes through a number of steps:

• Sources such as external, internal, multiple applications, multiple locations, and multiple formats provide big and raw data.
• The transformation of the data involves middleware, data warehouse, extract transform load, traditional format CSV and tables.
• The transformed and the big data is provided tools and platforms as well such as Hive, Mahout, Oozie, Hadoop, Jaql, Map reduce, Avro, Pig, and more (Trieu, 2017).
• The data analytics are presented through various analytics application such as reports, queries, data mining, and OLAP.

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The construction of the value impacts the models that are based on the data inputs. Metrics have to be defined in order to be able to benchmark the effectiveness of operations and for strategic positioning as well. The aspects of data collection are massive and it helps to assess the analytical solutions. The analysis of the sampled data is done with the help of the PSPP process. It is reliable and stable and there is no chance for expiry of the information. It goes in a cycle where data is collected and then the monitoring activities start. That is followed by the performance measuring, which leads to the property of benchmarking as well as reporting (Trieu, 2017). The collection of data is resumed once the whole process comes to an end and the steps are repeated again in order to provide a proper infrastructure along with appropriate competencies to a firm such as TAMNET.IO.

Suggested business intelligence analytics framework

It can be stated that frameworks are present in a company in order to define the people, platforms and the processes that have to be aligned and integrated within the firm so that it is able to formulate a strategic approach for the initiatives of performance management, business intelligence and analytics (Zur & Shapiro, 2015). Frameworks are able to identify all the people in a firm along with the process pillars and platform pillars. The utility of the frameworks of business intelligence analytics is to strategize and to implement a plan along with surfacing significant decisions, gaps, biases, integration points and overlaps that are not prepared for by the leaders and the managers of business firms like TAMNET.IO. It is, therefore, important to develop a proper framework for the business intelligence and analytics so that the firm is able to survive in the competitive market of technological advancements through sound business processes (Zur & Shapiro, 2015). The framework works in the following way:

• Performance, which starts with the enterprise metrics and the business strategy.
• Equal consideration is given to platforms, people and processes. The initiative of the business analytics has to be made for the people to be able to perform different roles such as a producer, a consumer and of an enabler as well. The shift from any kind of tactical to a strategic approach to the business intelligence, PM and analytics needs to have a broader spectrum of processes. These involve decision processes, information governance processes and analytical processes too (Rikhardsson & Yigitbasioglu, 2018). The organizations like TAMNET.IO have to be built on IT platforms, tools, and analytical applications and that includes decision capabilities (application, intelligent decision automation), information capabilities (describe, integrate, govern, organize, share) and analytical capabilities (diagnostic, prescriptive, predictive, descriptive) as well.
• Attention has to be paid to two areas that are related, which are program management and metadata and services (Rikhardsson & Yigitbasioglu, 2018).
• Scoping of the efforts of business analytics has to be done, which finally includes PM, BI, and analytics.

Challenges, Barriers, and Benefits

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The challenges faced by the business processes and the business intelligence and analytics utilizing firms such as TAMNET.IO has been listed:

• Delivering the self-service analysis or report.
• Providing an easier form of mobile business intelligence (Sun et al., 2018).
• Unlocking the data that is buried within the system.
• Replacing a pre-existing system of business intelligence with an updated and advanced one.
• Reducing the finance that goes towards the production of the reports.
• Analyzing or reporting across different or multiple systems.
• Freeing up the IT resource from the analytics or reporting aspects (Rikhardsson & Yigitbasioglu, 2018).

There are a number of barriers as well that the organizations have to face while dealing with the discussed aspect. These are as follows:

• The complexity of the process and the cost of implementation.
• Departmental silos form a barrier to the sharing of data.
• Access to data and availability of clean data is an issue too (Trieu, 2017).
• Employees resist the adoption of advanced technologies along with the issue of misinterpreting data due to the use of older technologies of the spreadsheet.
• Feature mismatch against usability as there are various features that are never used.
• There are various IT related issues as well.

Although there are certain limitations to the aspects of business intelligence and analytics, it still has evolved considerably in the last few years and has spread throughout the market and the IT sector (Grover et al., 2018). The benefits of the process are:

• Segmented data can be converted into one version of the truth.
• Data integration can be done from almost anyplace.
• The efficiency of business can be improved with the help of insights of visual data.
• Real-time data can be accessed at any time but is a secure way.
• The improvement in revenues and drive performance.
• Easily formulation of personalized services.
• A better and clearer understanding of customers (Grover et al., 2018).

Critical Evaluation, Recommendation, and Conclusion

It has been evaluated that the utilization of the aspects of business intelligence and analytics helps to monitor the trends in the business as well as detect events. The process leads to ROI, which is quite significant in the international market for forms like TAMNET.IO. Although there are certainly good and bad practices of the aspect, the corporate culture that is data-driven has a clearer sense of its reality. The efficiency of the operations within an organization can be improved through the application of aspects such as Artificial Intelligence, which is a communicative intelligence. Therefore, it can be concluded that although there are aspects that need to be developed with the firm and with the trends as well, the notion of BI and analytics will be a significant part of the business world in the years to come.

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