Big Data presents several potential ethical and social challenges

Data Privacy 

One of the primary ethical concerns with big data is data privacy. Identity theft, fraud, and discrimination are among the serious challenges that people may encounter as a result of the gathering and keeping of personal information. Firms need to ensure that they are only collecting the data that is necessary for their operations and that they have strong data security processes in place to safeguard sensitive information is critical.                                                                                                                                   

Transparency and Accountability

Transparency and accountability are essential ethical components when using big data. Businesses should be honest and upfront about the information they collect and how they use it. They should also accept accountability for any unfavorable effects of using big data and take steps to minimize them.

Informed Consent

Informed consent is yet another important ethical consideration when using Big Data. Individuals whose data is gathered must be aware of how it will be used. It is necessary to obtain their express and informed consent.

Algorithmic Profiling

Big data offers new, increasingly accurate social sorting methods. Much may be learned by combining different types of data sets. This is referred to as "algorithmic profiling" and it raises questions about how little people realize about how personal data is gathered as they browse, interact, purchase, visit websites, travel, and so forth.

Data Bias

Data bias may contribute to injustice and discrimination in machine learning. Data bias arises when an information set is inaccurate and does not represent the population as a whole. It can provide skewed results and biased responses which can lead to inequality.

Big Data Divide

The term "Big Data Divide" describes the challenges associated with using the Internet and other modern technologies to access services as well as the complexity of comprehending how these technologies and related services operate. When it comes to online job searching, for example, seniors who are not used to this new method of searching for work may suffer from this type of digital divide in terms of missed employment possibilities.

Building CRM knowledge and earn credentials.

 

Commerce AI: Quick Look

As part of my training on SalesForce, I undertook a course learning about commerce AI. AI is now taking over the world as it is now starting to do things only humans can do. ChatGPT came onto the scene in 2023. Anyone can use it, and since it provides responses that were written by humans, no one can tell the difference. AI will also change the way that consumers shop. Instead of making clients go through a mess of search results, AI directs them to products they are likely to appreciate.  For retailers, AI can create customised messages for each prospect and determine the target audiences for an offer.

DAOs: Quick Look

DAO stands for decentralized autonomous organization. It is a collection of people who have come together for a shared objective, such as a mission, interest, or goal. They aim to accomplish three things: give members a voice through governance, flatten hierarchies, establish more equal workstreams, and allocate resources to serve a primary objective. DAOs function via the internet, enabling global access. While every DAO casts a vote, not every DAO has the same number of votes. DAOs come in eight different categories. They demonstrate the viability of organizations without hierarchy and show how there doesn't have to be a single owner or a single central authority.

Salesforce Functions: Quick Look

Salesforce's main goal is to connect businesses and customers. With Salesforce, you can ensure that your consumers see the appropriate advertisements at the appropriate times, put them in touch with experienced salespeople, and enable them to receive individualized support and service all along the way. Additionally, Salesforce enables businesses to develop apps that increase employee productivity, train their workforce, and use AI and analytics to gain a deeper understanding of their clientele. Salesforce has five guiding principles. They include trust, customer success, innovation, equality, and sustainability. Salesforce has encouraged thousands of businesses to adopt the 1-1-1 model, which sees corporations donate time, money, and goods to nonprofit organizations.

If you would like to earn these badges you can find the necessary training at Trailhead.Salesforces. 

Companies that have used Enterprise Application successfully

 

As an enterprise application to support its business strategy and model, Amazon uses SAP S/4HANA on AWS. The foundation of Amazon's operations is the Internet and online commerce, which is entirely centered on the client and has its own logistical network. Any person or business, no matter how big or little, may sell their goods on Amazon thanks to a fully streamlined and user-friendly platform. When it comes to business, Amazon prioritizes the needs of its customers. It puts the needs and satisfaction of the customer first by enticing them to submit reviews, which aid in the informed decision-making of other customers and aid Amazon in improving their goods and services. The customer service staff at Amazon is accessible around the clock to help consumers with their questions and problems. As a result of Amazon's use of SAP, sellers can manage their stores more effectively, handle complex high-volume operations successfully, and execute advanced analytics to grow their operations consistently.

Toyota's enterprise solution, Microsoft Dynamics 365, supports its business model and strategy. Nearly 90% of Toyota's revenue comes from the selling of cars and other commercial vehicles.  Their strategy for executing their 2023 production goal is to give safety and quality the top priority while making every attempt to provide as many automobiles as is practical to our customers as soon as possible. The company must perform numerous tasks during the production process, including planning, automation, quality control, and operation monitoring. Ahead of the production of cars, information systems help the organization to facilitate the interaction of all these components. All these production processes must be linked together seamlessly, which calls for a data record. By coordinating information sources at every stage, information systems help the industrial processes make this quick transformation. They aid people in predicting where bottlenecks will form in the present and the future, which facilitates their removal. Information system data analysis can greatly improve industrial operations. 

Starbucks implements Oracle ERP, a cloud-based software program used to streamline daily business operations and back-office operations. Starbucks operates in a chain, and its company-operated stores provide most of its sales, followed by stores that are under license. Additionally, it makes money through charging royalties, offering goods and services, and selling packaged coffee, tea, and other beverages. Product differentiation is a category of Starbucks' business strategy. As a result, the huge coffee chain company places a priority on the quality of its goods, and customers are willing to pay more for great quality. Excellent customer service, one of Starbucks' many sources of competitive advantage, adds to the company's attraction. After putting in place their ERP system, Starbucks found that their supply chain's annual expenditures were rising while annual sales at outlets open for at least a year decreased by 10% during the same time. They were able to identify that the delays in delivery were the two primary problems with their supply chain and that outsourcing was responsible for 65-70% of the expenditures. The supply chain was reorganized by the new system into streamlined chain activities that would bring the procurement component front and center. 

Why Companies Struggle with Information System Implementation

Inadequate Planning and Poor Communication 

Companies frequently experience difficulties implementing information systems, mostly as a result of inadequate planning and poor communication. Typically, businesses don't plan the project realistically. Businesses don't give themselves enough time to analyse, design, plan, test, and implement the change. As an example, Hershey's Chocolate rushed to implement their ERP in 30 months as opposed to the recommended 48 months. Hershey's was unable to fulfill orders as a result. Can find out more at Hershey's Chocolate ERP Implementation Failure Video.

Uneducated Staff

IT implementations frequently fail because staff members are either uneducated or unable to adapt to the project's requirements. As a result of IT initiatives demanding precise planning and execution, incompetence problems frequently appear. Therefore, it is necessary to have sufficient guidance in order to have a successful implementation.

Unwilling to Change

Employees who are content with the current system and do not want to learn new procedures may be resistant to the implementation of new software. It is essential to thoroughly train the workers on the changes. Set aside some time before the implementation to demonstrate the advantages of the new software to them. Explain the need for it in their daily lives and how it will increase their productivity and improve the standard of their job.

Failed Preparation 

If the project team is not prepared for the implementation it can result in an unsuccessful information system. The project team must be in agreement with the general objectives, procedures, and schedule. To build the implementation strategy, the team's members must collaborate and be ready to represent the interests of their respective teams or departments.

No Available Funding

IT implementations demand a large financial investment. Many implementations have fallen short since the budget wasn't scaled properly. Due to this and bad financial management, the project just becomes unmanageably expensive and is abandoned.