Question

Q:3

Briefly explain data analysis methods with respect to technology services. Answer in 200 to 250 words.

Q4:

Explain the following with respect to research. Answer each item in no more than 100 to 150 words.

Legal requirements

Policies and procedures

Guidelines

Handling and storing data

Privacy and freedom of information

Answer 1

A) The following methods are being used:

1) Predictive Analytics

A tool used by Technological service firms to avoid risks in decision making, predictive analytics that can help their service to grow. Predictive analytics hardware and software solutions can be utilised for discovery, evaluation and deployment of predictive scenarios by processing big data. These type of data can help companies to be prepared for future and help solve problems by analyzing and understanding them.

2) Knowledge Discovery Tools

These are tools that allow the services to mine big data (structured and unstructured) which is stored on multiple sources. They are present in terms of different file systems, APIs, DBMS or similar platforms. With search and knowledge discovery tools, businesses can isolate and utilise the information to their benefit.

3) Stream Analytics

Sometimes the data an organisation needs to process can be stored on multiple platforms and in multiple formats. Stream analytics softwarehelps in filtering, aggregation, and analysis of big data. Stream analytics also allows connection to external data sources and their integration into the application flow.

4) In-memory Data Fabric

When distribution of large quantities of data across system resources such as Dynamic RAM, Flash Storage or Solid State Storage Drives is required, then this can be a great help. Which in turn enables low latency access and processing of big data on the connected nodes.

5) Distributed Storage

This method can be considered as a way of preventing node failures and loss or corruption of big data sources, distributed file stores contain replicated data. Sometimes the data is also replicated for low latency quick access on large computer networks. These are generally non-relational databases.

B) Legal Requirements: The legal requirements with respect to research means that the sourcesof data that is gathered should be well informed that the information is being taken. No such personal data without the consent of the particulr repsondent or otherwise should be reflected.

Policies and Procedures: The policy and procedures actually talk about how the research has been implemented and what kind of methodology has been used. It enables you to know the various procedures and policies that has to be abided.

Guidlelines: Guidleines in reasearch allows you to understand the idea behind proper ethics and steps that should be taken inorder to make sure that there is enough transparency and data piracy prevention in the research.

Handling and Storing data: In research there are a lot of data that is used. The reseracher or the the company should be well equiped to collect, store and use the data in the right way.

Privacy and Freedom of information: Some of the information are supposed to be used ina way that does not violate the respondent or those who's personal data is actually involved. It is therefore necessary that the freedom of information is maintained along with strict privacy consideration.