Your Black Board Assignment for this week is to google business intelligence/big

Question

Your Black Board Assignment for this week is to google business intelligence/big data products or knowledge management products/technologies for businesses. Research/read about 2 or 3 of them and select one to write about. Write one paragraph describing the platform/product/technology and why you chose it. Write one paragraph about how you would use it in your job or business. (These two paragraphs will comprise your initial post.) Please make sure you meet the following requirements: 1. Your initial post shall consist of 2 paragraphs and shall be submitted in both safeassign as an assignment and in the discussion board forum.

Explanation / Answer

I choose Big Data Products

Big data is data sets that are so voluminous and complex that traditional data-processingapplication software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are a number of concepts associated with big data: originally there were 3 concepts volume, variety, velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.

Big Data Technologies used in Business:- A 2011 McKinsey Global Institute report characterizes the main components and ecosystem of big data as follows:-

Multidimensional big data can also be represented as tensors, which can be more efficiently handled by tensor-based computation, such as multilinear subspace learning. Additional technologies being applied to big data include massively parallel-processing (MPP) databases, search-based applications, data mining, distributed file systems, distributed databases, cloud and HPC-based infrastructure (applications, storage and computing resources) and the Internet. Although, many approaches and technologies have been developed, it still remains difficult to carry out machine learning with big data. Some MPP relational databases have the ability to store and manage petabytes of data. Implicit is the ability to load, monitor, back up, and optimize the use of the large data tables in the RDBMS.

DARPA's Topological Data Analysis program seeks the fundamental structure of massive data sets and in 2008 the technology went public with the launch of a company called Ayasdi. The practitioners of big data analytics processes are generally hostile to slower shared storage, preferring direct-attached storage (DAS) in its various forms from solid state drive (SSD) to high capacity SATA disk buried inside parallel processing nodes. The perception of shared storage architectures—Storage area network(SAN) and Network-attached storage (NAS) —is that they are relatively slow, complex, and expensive. These qualities are not consistent with big data analytics systems that thrive on system performance, commodity infrastructure, and low cost.

Big Data can be used in business to perform the following tasks very efficiently, such as:-

1. Dialogue with consumers - Consumers are smart, and understand their priorities. Before making a purchase, consumers look around and compare different options. They even talk to businesses through social media channels, and demand special treatment. In fact, most customers want to be thanked for buying products from a company. Big Data allows a business organization to profile such customers in a far reaching manner. This allows a business to engage in real time, one-on-one conversation with consumers. In tough competitive times, this isn’t a luxury. You need to treat customers how they want.

2. Re-Develop Products - Big Data is one of the best ways to collect and use feedback. It helps you understand how customers perceive your services and products. Thus, you’re able to make necessary changes, and re-develop your products. When you analyze unstructured social media text, it allows you to uncover general feedback from your customers. You can even disintegrate the feedback in various geographical locations and demographic groups. In addition to this, Big Data allows you to test numerous variations of high end computer-aided designs within seconds. For instance, you can gather information about lead times, material affect costs, performance and more. It allows you to raise the productivity and efficiency of various production processes.

3. Perform risk analysis - Success depends on a lot of different factors. It’s not just about how you run the company. Economic and social factors play an important role to determine your accomplishments. Since Big Data leads to predictive analytics, it allows you to analyze and scan social media feeds and newspaper reports. Thus, you can permanently keep up with speed on latest trends and developments in the industry.

4. Data safety - Big Data tools allow you to map the entire data landscape across the company. This allows you to analyze all kinds of internal threats. With this information, you can keep the sensitive information safe. It’s protected in an appropriate manner, and stored according to regulatory requirements. Due to this, most industries have been focusing on Big Data to ensure data safety and protection. It’s even more important in organizations that deal with financial information, credit and debit card information, and other such practices.

Please let me know in case of any clarifications required. Thanks!

Related Questions

Navigate

• Browse (All)
• Browse Y
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.