Introduction to Data Science Report on Cookies Limited

Question: Write areport on Cookies Limited. Answer: 1.0 Introduction In this assignment, the different changes needed in the organizational structure of the company have been discussed. For this purpose, changes are to be brought in the data collection and storage systems of the company (Chamberlain et al. 2015). These possible changes have been discussed along some modifications that are necessary for expanding the companys business. Again, some suggestions have been provided regarding implementation of customer-centric product design and business to increase customer base and gain more revenue (Andreassen et al. 2016). Furthermore, some recommendations have been provided regarding the action plan of the company during power outages and other disasters. 2.0 Data Collection and Storage 2.1 Data Collection System For implementing online business as well as new information system, a new data collection system is to be implemented by Cookies Limited in order to make the information system more efficient. There are two aspects that are to be considered during implementing a data collection system (Brown and Wyatt 2015). These are qualitative and quantitative. For qualitative data collection, the company needs to survey regarding the quality and flavor of products produced as well as the quality of products most of the customers prefer. For the quantitative data collection, company needs to analyze the net sales of each flavor of the cookies and increase production of those that have maximum popularity (Cornish et al. 2015). There are many online vendors that provide cheap and efficient data collection tools that can be implemented by Cookies Limited for their data collection system. 2.2 Storage System For online business, the storage system needs to be upgraded. It can be virtual storage system along with hardware storage support. However, there are several requirements that must be kept in mind. First, there should be two different memories for qualitative and quantitative data collection and storage (Pang et al. 2015). These memories should act differently but maintain a balance between the two and the data should be easy to access. This system can be implemented by using cloud computing services. Cloud computing provides efficient virtual interface for storage and operations of data. Second, security measures should be taken in all types of storage system used, be it virtual or physical (Brewer and Guiterman 2016). Moreover, back up memory should be created in case of emergencies. Finally, the computer systems are to be upgraded in order to support the new storage and information systems with maximum efficiency. 3.0 Data in Action 3.1 Consumer-centric Product Design In this part of the organizational plan, the company needs to consider public demands as well as specific products popularity in order to manufacture better products and achieve more success in business. For this, the company needs to design its products in a customer-centric manner (Li et al. 2015). For instance, the company should conduct a survey to determine which flavors of cookies are most popular among the customers. They should conduct another survey among regular customers to know about possible new flavors they can produce to increase customer happiness as well as popularity. If they can implement the necessary changes, the company can also gain huge revenues from cookie sells (Stanek, Babkin and Zubov 2016). Hence, the company needs to focus on the customer demands and design products accordingly. Again, there should be another step here. The company will have to design or implement an operational software that will be able to analyze the profit ratios of each flavor of th e cookies. In other words, the software will calculate profit percentages by measuring revenue to production ratio that will give the company an idea which products to emphasize on and which not (Gupta et al. 2015). The flavors that will have highest revenue production ratio should be produced in greater amounts to satisfy customers and gain more popularity. Again, the product design should be such that it will ensure popularity. For example, if they make a cookie whose flavor is based on some sour fruits, that flavor will be almost certain a failure in the commercial scale. On the other hand, a cookie flavored with nuts and dry fruits will almost certainly achieve commercial success (Kamal et al. 2016). These customer-centric products designs are to be considered by Cookies Limited authority. 3.2 Recommendation System Not each company will have the same customer measurements to gauge customer centricity. Nonetheless, the two most imperative customer centric measurements that ought to be deliberately checked are churn rate and customer lifetime values. Churn Rates - Gaining new customers is getting more troublesome. Along these lines, more organizations are putting resources into continuing existing customers as opposed to attempting to discover new ones: Acquiring new customers can cost up to 5x more than continuing existing customers A 2% expansion in customer maintenance has the same impact on benefits as cutting expenses by 10% On an average, companies lose approx. 10% of its customer base every year Companies with a high degree of consistency become quicker. The way to achievement is to comprehend why individuals leave, and why individuals remain customers. To figure the churn rate, measure the quantity of customers who left in the most recent 12 months separated by the normal number of aggregate customers (amid the same period). Customer Lifetime Value (CLV) For a customer driven business, the most significant resource is the customer. The benefits created amid the maintenance stage are regularly known as customer lifetime quality or CLV. Customer Lifetime Value (CLV) measures the benefit your association makes from any given customer. To compute CLV, the income the company procures from a customer is to be taken, the cash spent on serving them is to be subtracted and the majority of the installments for time estimation of cash is to be modified. Another approach to ascertain it is to take normal request esteem and rehash buy rates. For instance, if the companys normal request worth is $100 and the rehash buy rate per customer is 20% the companys assessed CLV is $125. Computing the customer lifetime esteem helps the company comprehend why it bodes well to put resources into keeping its customers. It is an extraordinary approach to get a comprehension of the customer portfolio and to fragment the customer. The movement towards turning into a really customer-centric company is both unpredictable and long in any case, the company should not be put off by this as even the littlest changes to strategy and procedures can have a critical advantage for both representative and the companys customers. Being a client driven association is the Holy Grail towards opening the genuine capability of client worth. The company should continuously place itself in the shoes of the customer to minimize client exertion and augment client esteem. 4.0 Business Continuity: Survival of Online Business during Disasters In case of Data Center Disaster Recovery Planning, the operational plan should be designed with protecting the organizations investment in information technology (Kamat and Liang 2016). The required planning is to be integrated within the server management, for further scenarios of disruption. For identifying the survival planning and checklist making, the designers required to make suitable backup mechanisms (Gupta et al. 2016). The relevant assumptions are considered in this aspect as following: Data center building that is physical infrastructure, construction architecture, building blueprints, and floor areas Power generation of the circuitry as in commercial power and backup power systems Power protection as in proper grounding of entire circuitry, line conditioners, lightning arrestors, and suppressors Environment as in overheating, ventilation, and air circulation in form of air conditioning Critical systems in servers, VoIP systems for calling, cable systems, distribution of power units Other aspects as in fire protection, utilities, and work space management Now, the organization should consider some disaster response making over identified factors to mitigate (Pancholi and Patel 2016). The factors are to be accounted as in following items and considerations: Most serious data center threats as fire, power outage, failure in system, personnel blunder, security breach, and others. The assumptions may be wrong, the corrections should be made accordingly (Sahebjamnia, Torabi and Mansouri 2015). Outdated backup process in case of system management and protection Stating an acceptable outage time for controlling the suspended work and its impact Emergency teams that can be trained for the same purpose (Phillips 2015) Previous disaster reports and the lessons learnt to avoid same type of mistakes and faults The suitable checklists can be prepared according to some sorts of scenarios as in power outage, Server failure, Data center files, and other disasters. The power outage checklists are prepared for action taken and comments regarding the action (Cook 2015). The actions may be separate under certain scenarios. The power outage scenario includes the actions as determining the outage cause, staff required for evacuation, potential damage to the firm, utility power management, and others. Again, in scenario of server failure, the actions should be checking situations as server outage, loss of data, and others, contacting senior personnel management and regular progress maintenance (Chang 2015). The remedial actions should be taken for data center files management are using extinguishers for fire suppression, after fire is extinguished, the damage assessment is to be performed. These were the disaster recovery steps and systematic planning in present scheme of disasters (Downey 2015). The post-disaster assessments should be conducted as in reviewing the scenario, indentifying the cause of the disaster, and determining what happened in that situation and how the recovery is conducted and its preferable relocation of the servers as well. The disasters might have some adverse effects in maintaining the services of online business, however; this planning required to be followed considering all the impact of the disasters (Marn et al. 2015). In this manner, the checklists will help the organization to take control of the 5.0 Conclusion In this report, several aspects of business requirements have been discussed in detail. These aspects include implementation of new data collection and storage system that are essential for implementing the new organizational plan for Cookies Limited. The company looks to implement customer-centric online business for which they need to use a new data collection system in order to make the information system more efficient as well as a virtual storage system with hardware backup. For the customer-centric business plan, the company needs to consider public demands as well as specific products popularity in order to manufacture better products and achieve more success in business. Most serious data center threats as fire, power outage, failure in system, personnel blunder, security breach, and others serious issues as well. For this, the company needs to design its products in a customer-centric manner. Again, there may be cases of power outages and disasters that may hamper the busine ss of the company. The recommendations for the company in such cases have also been provided. 6.0 Recommendation The recommendations for the company are as follows: A new data collection system is to be implemented by Cookies Limited in order to make the information system more efficient. For qualitative data collection, the company needs to survey regarding the quality and flavor of products produced as well as the quality of products most of the customers prefer. For the quantitative data collection, company needs to analyze the net sales of each flavor of the cookies and increase production of those that have maximum popularity. The company needs to consider public demands as well as specific products popularity in order to manufacture better products and achieve more success in business. 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