Big data describes data sets so large, fast-changing or varied that ordinary software cannot process them. Specialist tools are needed to store and analyse the data.

What do veracity and value add to the three Vs of big data?

Veracity is how accurate and trustworthy the data is. Value is whether analysing the data produces useful benefits for the business.

Give three sources of big data for a business.

Online sales transactions generate big data. Website browsing records and social media posts are further sources.

How can big data help an audit firm?

Audit software can test every transaction in a client's records rather than a sample. Unusual patterns that suggest error or fraud then stand out more reliably.

How can a law firm use big data in litigation?

Software can search millions of emails and documents for relevant evidence. A review that once took weeks can be done in days.

CCEA A-Level Professional Business Services 3210

The Business Environment

Topic overview Primary, secondary, tertiary and quaternary production Private, public and voluntary sector objectives Sole traders and partnerships Private and public limited companies Stakeholder interests and conflicts Factors of production

The Professional Business Services Sector

Topic overview The nature of professional business services The range of consultancy services Tangible goods and intangible services Local, national and global firms Why businesses use consultancy services

The Consultancy Process

Topic overview The consultancy process and the entry phase The diagnosis phase The action planning phase Implementation and termination phases

Understanding the Client's Market

Topic overview Market size, market share and market growth Reasons for market research and using its findings Primary market research methods Secondary market research and choosing a method Sampling methods in market research Market segmentation

Client Relationships

Topic overview Why client relationships matter Communication, personal contact and client needs Business culture and professionalism Trust, ethical behaviour, intellect and ideas

Business Ethics

Topic overview Fairness, integrity and freedom from bias Trust, confidentiality, transparency and openness The benefits of an ethical code

Persuading, Negotiating and Influencing

Topic overview Persuasion techniques for consultants Negotiation stages and strategies Influencing clients and stakeholders

Business Planning and Risk Management

Topic overview Strategic planning and cost–benefit analysis SWOT and PESTEL analysis in strategic planning The Ansoff matrix and the Boston matrix Assessing and managing business risk

Government Regulation

Topic overview The purpose of business regulation Regulators and compliance in Northern Ireland Codes of conduct versus external regulation

Organisational Structure and Culture

Topic overview Human resources and effective HR management Tall, flat, centralised and decentralised structures Roles, chain of command, span of control and delayering Changing and comparing organisational structures Culture, Schein's model and the McKinsey 7S framework

Recruitment and Selection

Topic overview Internal and external recruitment methods Job descriptions and person specifications Interviews and psychometric testing Competency profiling, situational judgement tests and EI questionnaires Contracts of employment and effective recruitment

Learning and Development

Topic overview Why learning and development matters to a business Induction, on-the-job, off-the-job training and CPD Outcomes of learning and development

Employee Well-Being and Motivation

Topic overview What employee well-being is and why employers value it Methods of supporting employee well-being Causes of low workplace well-being Maslow and Taylor on motivation Herzberg and Mayo on motivation Financial and non-financial methods of motivation

Managing Conflict

Topic overview Functional and dysfunctional conflict Causes of conflict at work Effects of conflict on performance, motivation and behaviour Improving employer–employee relations

Business Research Methods

Topic overview Research aims, objectives and literature searches Questionnaires, interviews and designing research tools Sampling, reliability, validity and research ethics Presenting, analysing and evaluating research findings

Sources of Finance

Topic overview Financial decision making in a client business Internal sources of finance Loans, overdrafts and share issues Leasing, hire purchase and trade credit Choosing the right source of finance

Cash Flow

Topic overview Types of budget and why firms set them Adverse and favourable variances Cash flow, profit and why firms forecast Constructing and analysing a cash flow forecast

Financial Statements

Topic overview Revenue, cost of sales and gross profit Expenses and net profit Assets on the statement of financial position Equity and liabilities

Ratio Analysis

Topic overview Profit margins and return on capital employed The current ratio, liquidity and gearing Trade receivables and trade payables days Earnings per share and return on equity Using and evaluating ratio analysis

Investment Appraisal and Financial Decisions

Topic overview The payback method Net present value and discounting Average rate of return and choosing a method Appraising an investment for a client Using financial data for growth and staffing decisions

IT Systems and Communication Technology

Topic overview The role of technology in business Management information and performance management systems Choosing and integrating IT systems Email, messaging, telephone and text Websites, document sharing, conferencing and social media

Technology for People and Operations

Topic overview Performance management software HR information systems Customer relationship management software Transaction processing technology Inventory management technology

Technology for Finance and Disaster Recovery

Topic overview Spreadsheets for financial decisions Databases and accounting software Data security principles and cyber threats SSL, HTTPS and two-factor authentication Legislation on data and technology Disaster recovery planning and backup strategies

Big Data and the Ethics of Technology

Topic overview Big data, data analytics and KPIs Data storage systems Automated decisions, censorship and monitoring Personal data, the digital divide and acceptable use

Leadership and Management

Topic overview Leadership, management and emotional intelligence Fayol's functions and Mintzberg's roles The Tannenbaum–Schmidt continuum and leadership styles Transformational and transactional leadership The Blake Mouton grid and Adair's Action-Centred Leadership Performance management and review

Managing Teams

Topic overview Team working and Tuckman's stages Belbin's nine team roles Using and evaluating Belbin's model

Managing Change

Topic overview Reasons for change in the business environment Resistance to change Lewin, Kotter and Galbraith's change models Benefits and challenges of managing change

Project Management and Feasibility

Topic overview What a project is and why project management matters Project roles and responsibilities Project documents, plans and registers Client needs and feasibility research The business case and the project brief

Project Initiation and Planning

Topic overview The initiation stage and the project initiation document Project tolerances for time, cost, quality and risk The planning stage: scope, objectives and deliverables Resources, roles, quality and financial plans Gantt charts, risk plans and the stage review

Project Closure and Evaluation

Topic overview Monitoring and reviewing a project during execution Closing a project Evaluating a project and gathering stakeholder feedback

Big Data and the Ethics of Technology

4 subtopics
12 things to know
A2 1

What Big Data and the Ethics of Technology covers

Big Data and the Ethics of Technology is examined in Unit A2 1, Technology in Business. It covers big data, data analytics and KPIs, data storage systems, automated decisions, censorship and monitoring and personal data, the digital divide and acceptable use.

Where it is assessed

A2 1

Technology in Business — a written examination.

Check the CCEA specification ↗

The 4 subtopics

Each one has its own page.

What you need to know

Answer each one before you reveal it.

Your recallNot started

Evaluation

Evaluate the use of data analytics in decision making for a Northern Ireland client business.

Evaluation

Evaluate external hard drives for storing a small consultancy's data.

Evaluation

Evaluate cloud storage for a Belfast law firm holding confidential case files.

Evaluation

Evaluate data centres and cloud storage for a large accountancy firm.

Evaluation

Evaluate automated CV screening for a Belfast recruitment consultancy.

Evaluation

Evaluate whether a firm should delete negative client reviews from its social media pages.

Evaluation

Evaluate keystroke monitoring software for remote staff at an accountancy practice.

Evaluation

Evaluate a consultancy's plan to sell its client mailing list to a marketing company.

Evaluation

Evaluate a Belfast accountancy practice's plan to communicate with clients only through an online portal.

Evaluation

Evaluate a strict acceptable use policy that bans all personal internet use at a Newry consultancy.

Key term

What is big data?

Key term

What are the three Vs of big data?

Take Big Data and the Ethics of Technology further

The same content, four other ways.

Commonly confused

Pairs that lose marks when they are blurred together.

Volume vs Velocity
Volume: the sheer amount of information being generated. Velocity: the speed at which new information arrives.
Predictive analytics vs Prescriptive analytics
Predictive analytics: analysis forecasting what is likely to happen. Prescriptive analytics: analysis recommending which action to take.
Data centre vs Cloud storage
Data centre: a secure building housing many servers with backup power. Cloud storage: space on a provider's servers rented over the internet.

Questions from this topic

Each one with the model answer underneath.

1
What is big data?
Model answer
Big data describes data sets so large, fast-changing or varied that ordinary software cannot process them. Specialist tools are needed to store and analyse the data.
2
What are the three Vs of big data?
Model answer
The three Vs are volume, velocity and variety. Volume is the amount of data, velocity its speed of arrival, and variety its range of formats.
3
What do veracity and value add to the three Vs of big data?
Model answer
Veracity is how accurate and trustworthy the data is. Value is whether analysing the data produces useful benefits for the business.
4
Give three sources of big data for a business.
Model answer
Online sales transactions generate big data. Website browsing records and social media posts are further sources.
5
How can big data help an audit firm?
Model answer
Audit software can test every transaction in a client's records rather than a sample. Unusual patterns that suggest error or fraud then stand out more reliably.
6
How can a law firm use big data in litigation?
Model answer
Software can search millions of emails and documents for relevant evidence. A review that once took weeks can be done in days.

See the rest and revise

What is inside Levo

Six ways to work the same material.

1Closed book

2Open book

3Closed book

The 3-step method, run for you

Answer cold, learn it, then prove it stuck. Levo tracks the jump between your first attempt and your last.

The Business Environment

The Professional Business Services Sector

The Consultancy Process

Understanding the Client's Market

Cram a whole paper in one sitting

Sort every topic into what you know and what you do not, then drill only the weak ones.

A payback is usually preferred.

shorterlongerslower

Blank Blitz makes facts automatic

Rapid timed gap-fills on the terms and numbers you need to recall without thinking.

AA firm might move its staff to a new office.

BA firm might install a new client database.

CA firm might run a graduate recruitment campaign.

Build It gets the exam shape right

Assemble a full-mark answer from its marking points, in the order an examiner wants them.

Equity means the owner's investment in the business.

TrueFalse

Test It catches misconceptions

Spot the fault in a statement. The traps are the mistakes students actually make.

721941163128510

Brain Breaks between sessions

Short focus games to reset attention, so the next set lands better than the last.

Big Data and the Ethics of Technology revision questions

What does Big Data and the Ethics of Technology cover in CCEA A-Level Professional Business Services?: 4 subtopics: big data, data analytics and kpis, data storage systems, automated decisions, censorship and monitoring and personal data, the digital divide and acceptable use. Each one has its own page with questions and model answers.
How is Big Data and the Ethics of Technology organised?: By the CCEA 3210 specification, subtopic by subtopic, so it matches the order you are taught it in.

Every question in Big Data and the Ethics of Technology, on a schedule.

Attempt a question from memory, write the correct version, then attempt it again. Levo records the jump between your first attempt and your last, and brings each question back on the day you are due to forget it.

Start revising, £5 a month See how the method works

Or £46 a year, about £3.83 a month. Cancel anytime.