Informational Resources for Organizational Tasks
Discuss about the Business Case For Sustainable Development.
Informational resources are one of the most prominent resources of the organisation that can assist in different organisational tasks. Analysing the information can enable the organisation in making adequate decisions from a business’s perspective that can prove to be sustainable for the organisation. However, not every business decision is taken with analysis and one of such context is “poor sales in an area of business”. The deemed report will present a case study that would recommend and discuss the Big data analytics & technology in the discussed business context before concluding the paper.
IT (Information Technology) is witnessing a major surge in the rate of adoption and it is because of the fact that the former is growing every day and is answering the challenges that were left unanswered before. One of the questions that were left unanswered before was the decision making over the actions that needs to be taken in the areas where poor sales were visible in an area of the business. The reasons that could be responsible with poor sales could be anything from low quality to price to improper evaluation on the need of the offering. However, inadequate decision over the deemed situation commonly causes a lot of financial disturbances for the organisation which in the long run affects its sustainability. Hence, the organisation needs to make a well-researched decision about that area of sales to mitigate the challenge for the organisation and its sustainability.
The benefits of the change for the organisation will lead to have a properly structured area of sales that in the long term will have positive impact on the organisational sustainability and financial profit. Additionally, the tools that will assist the decision making in the deemed area of sales will offer the advantage of making adequate decisions in non-poor areas of sales which will offer financial stability and enhancement to the organisation. Though, the high investment of adoption of the proposed tool can hamper the organisational operations for a shorter period of time can be considered as its only limitation.
The goal of making adequate decision in the poor area of sales of business would be to ensure that the organisation gets a hold of that situation and in the process increases its financial revenue from that specific area. The discussed revenue should be enough to bear the expenses of that particular area while offering suitable benefit at the same instance.
Challenge of Poor Sales in Business
The proposed measure is an IT relevant technology and every organisation has their IT infrastructure depending upon which they devise their general business strategies. Hence, the proposed tool will be compatible with the business strategy in general. Another notable fact is that the primary goal of any business is to earn revenue that derives its organisational strategies and the deemed method will assist the former in attaining its primary goal making the adoption fit with the business strategy.
The recommendation of the proposed challenge that is of making adequate decisions in poor areas of sales in a business is digital analytics of the sales and other relevant data through disruptive technological adoption. Big data tools can assist the organisations in attaining the discussed milestone. Big data, data analytics, digital analytics or technological analytics as it is called is a mode of determining a pattern that is determined form data that were collected from an individual source on an individual task. The determined patter can prove to be vital in different areas that includes devising strategies, forecasting, making necessary changes or decision making for that particular area. In the deemed scenario the data from the area of poor sales of an area in business has been considered under the scrutiny and decision making over that area is taken into consideration.
A poor area of sales can be associated with one of the organisational offering or even with a location where the organisational offerings are proving to be less attractive and responsive then its competitors. In either of the scenario, a set of data is collected from that scenario evaluating that data will conclude on some points that includes the perception of the buyers and the necessary changes that can made depending upon the strong areas of sales. Based upon the findings from the data analytics the decision makers can reach on a well-informed and adequate decision over the future of that area of sales.
However, the deemed task is almost impossible from manual techniques as analysing the perception & pattern of buyers is a complicated task and done manually would leave loop holes that will affect the decision which will harm the area of sales further more. Additionally, it is time, effort and resource consuming which is generally avoidable for an organisation. Hence, big data tools can do the task for the organisation within shorter frame of time with less resources & effort and that too at a great accuracy. The discussed tool will run the data in an algorithm and summarise them too make it easier for the decision makers to reach an adequate decision making position. Additionally, the tool will keep on evaluating the data which will assist in determining the trends of that particular area depending upon which the decision makers can take decisions over that area and make the necessary changes to earn a competitive advantage and long term sustainability for the organisation.
Benefits of Change for the Organization
Organisational structure related data, data of sales of strong areas and other data will assist the tool in analysing the weak points of poor sales area. However, the data that will be required by the discussed technological tools which are most prominent are discussed as follows:
SALES RECORD: The sales record that includes the invoices, inventory price of delivery and others that are associated with the area were the pattern needs to be deciphered. It will assist the tool to formulate the key factors that are prominent for the organisation in that specific area.
TRENDS IN THAT AREA: The data that can cite evidence to the trend where the sales are poor will assist the data analytic software to understand the perception and needs of the consumers who are being targeted. The deemed data will act as the catalyst in devising the pattern and will even assist in offering forecasting the changes of the area of discussion according to which the organisation can make the necessary changes.
COMPETITORS SALES RECORD: The area in which the organisation is lacking can be evaluated more adequately by analysing the data of the organisations who are leading in that area of sales. It will assist the tool to evaluate their working pattern, size & cost of offering and other factors to cite the shortcoming of the organisational processes & offerings according to which necessary changes could be made.
As stated above the recommended method is a disruptive IT tool and is capable of analysing and forecasting of the data that can assist in making decisions. The system is an automated system where it can collect the necessary data automatically, if authorised to access the organisational server. In the other case, the inputs entered by the internal stakeholders of the organisation are analysed to cite the results. Another notable fact that has been discussed above is that the tool is continuously analysing the data to determine the pattern and forecast the required changes. Hence, the automation and analysis of the trends makes the discussed system capable of summarising them and citing evidence to the validity of the decision made based on the finding of the tool. The tool even offers advantage of safekeeping of the organisational information resources which can be compared and contrasted to develop a report that will justify the supremacy of the data analytic decision making over the non-data analytic decision making. The report can be developed automatically or can be devised manually depending upon the needs and trust of the organisation.
Recommendation of Adopting Data Analytics Tools for Adequate Decision Making
Conclusion
The discussed business case can be summarised to emphasize that the poor area of sales in a business is a major concern for an organisation but wrong decisions are more prominent concerns. Inadequate decision making not only influences the organisational profit & sustainability but also raises question over the knowledge & leadership of the decision makers. It can develop multiple problems for the organisation both internally and externally. Hence, it is advisable that the organisation adopt tools or techniques or both to mitigate the deemed challenge. One of such techniques that is capable of mitigating the discussed challenge is decision making based on data analytics. The decisions that are made on findings from analysing the data of a particular area are suitable and fruitful for that specific area. Hence, the data analytic technique should be reliable. The discussed reliability can be earned by adopting data analytic tools such as big data which will not only evaluate the data from the poor sales area but will also evaluate the trends that will assist in making a more decisive and adequate decision. The benefits of the discussed tool are not limited to the analysing of the data and thus offering adequate decision making opportunities but also extends to reporting, auditing and multiple other areas where it proves its dominance over other tools & techniques. Hence, the report can be summarised to conclude that big data, digital analytics & technologies is a much needed decision making tools that can offer prominent advantage to the user on adoption.
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