Artificial Intelligence (AI) is no longer a technology reserved for software developers, data scientists, or research laboratories. It is rapidly becoming part of everyday business decision-making. From marketing and finance to human resources, operations, supply chain management, consulting, and entrepreneurship, AI is changing how organizations analyse information, serve customers, manage employees, control costs, predict demand, and develop strategies.

For management professionals, this transformation is creating an important career shift. The manager of the future will not necessarily need to become a programmer, but will need to understand how to use AI intelligently, responsibly, and strategically.

This is why management education is also evolving. MBA, PGDM, BBA, and other management students increasingly need a combination of traditional business knowledge, analytical thinking, digital fluency, communication ability, leadership, and AI awareness.

For students planning a future in business and management, understanding how AI is changing management careers can help them choose the right skills, specializations, and learning environment. Institutions such as Accurate Institute of Management & Technology, Greater Noida, which emphasize management education alongside industry exposure, practical learning, and technology-oriented skill development, can play an important role in preparing students for this changing corporate landscape.

How Is AI Changing Management Careers?

AI is changing management careers by automating repetitive work, improving data-driven decision-making, creating new AI-enabled job roles, and increasing demand for managers who can combine business knowledge with technology, analytical thinking, leadership, and human judgment.

Instead of replacing management altogether, AI is changing what managers do and which skills create value. Future managers are likely to spend less time collecting information manually and more time interpreting AI-generated insights, solving complex problems, managing people, developing strategies, and making responsible business decisions.

What Does AI Mean for Management Careers?
Why AI Is Becoming Important in Business Management
How AI Is Changing the Role of Managers
How AI Is Transforming Different Management Careers
New Management Career Opportunities Created by AI
Will AI Replace Managers?
Skills Managers Need in the AI Era
How AI Is Changing Entry-Level Management Jobs
Benefits of AI for Management Professionals
Challenges Managers Will Face in an AI-Driven Workplace
AI and the Future of Leadership
How Management Students Can Prepare for AI-Driven Careers
Why Management Education Still Matters in the AI Era
Preparing for Future Management Careers at Accurate Institute
Future Scope of AI in Management Careers
Conclusion
Frequently Asked Questions
On-Page SEO Checklist

What Does AI Mean for Management Careers?

Artificial Intelligence refers broadly to computer systems capable of performing tasks that traditionally required aspects of human intelligence, such as analysing information, identifying patterns, generating content, predicting outcomes, and supporting decisions.

In management, AI can be used to assist with activities such as:

analysing customer behaviour;
forecasting sales and demand;
screening and organizing business information;
creating reports and presentations;
identifying financial trends;
automating routine communication;
analysing employee and workforce data;
improving supply chain decisions;
supporting customer service;
conducting market research;
generating business ideas and scenarios; and
supporting strategic decision-making.

The key change is therefore not simply automation.

It is augmentation.

AI can give managers faster access to information and possible solutions, while managers provide context, judgment, creativity, empathy, accountability, and leadership.

From Information Managers to Decision Managers

Traditionally, managers often spent considerable time gathering information, preparing reports, coordinating routine activities, and monitoring processes.

AI can perform or accelerate many of these activities.

As a result, management professionals can increasingly focus on questions such as:

What does this information mean? What should the company do next? What risks are involved? How will employees or customers respond? Is the AI recommendation reliable? Is the decision ethical?

The ability to ask the right question may become almost as important as finding the answer.

Why AI Is Becoming Important in Business Management

Modern businesses generate enormous amounts of information through websites, applications, transactions, customer interactions, supply chains, social media, enterprise systems, and internal operations.

Managers cannot manually analyse every available data point.

AI tools can process information quickly, detect patterns, and help businesses identify opportunities or risks that might otherwise be overlooked.

Faster Business Decisions

AI-supported analytics can allow managers to evaluate information faster.

For example, a sales manager can examine customer and sales patterns, a finance manager can investigate unusual transactions, and an operations manager can compare demand forecasts with available inventory.

The manager still makes the business decision, but AI can shorten the journey from data to insight.

Increasing Competition

As companies adopt AI, competitors are under pressure to become more efficient and innovative.

Management professionals therefore need to understand not only their own business functions but also how technology can create competitive advantage.

Rising Importance of Data

Modern management is increasingly evidence-driven.

Managers who understand dashboards, analytics, forecasts, AI-generated insights, and key performance indicators can make more informed decisions than those who depend exclusively on intuition.

Changing Customer Expectations

Customers increasingly expect personalized recommendations, quick responses, seamless digital experiences, and consistent service.

AI helps organizations understand these expectations at scale, making AI awareness especially valuable for marketing, sales, product, and customer-experience managers.

How AI Is Changing the Role of Managers

AI is not merely adding another software tool to a manager’s desk. It is changing the structure of managerial work.

1. Routine Tasks Are Becoming Automated

Administrative tasks such as scheduling, summarizing information, generating standard reports, drafting routine communication, and organizing data can increasingly be supported by AI.

This allows managers to devote more attention to higher-value activities.

2. Decisions Are Becoming More Data-Driven

Managers can use AI-supported systems to identify trends and model possible outcomes.

However, good managers must distinguish between an AI-generated recommendation and a sound business decision. Data may reveal a pattern without explaining its complete context.

3. Strategic Thinking Is Becoming More Valuable

When machines can produce information quickly, simply possessing information becomes less differentiating.

Managers add value by determining:

which problem deserves attention;
which opportunity aligns with organizational goals;
which recommendation is realistic;
which risk is acceptable; and
how a strategy should be executed.

4. Managers Are Becoming Human-AI Team Leaders

Tomorrow’s manager may supervise not only employees but workflows in which people and AI systems work together.

Managers will need to determine which tasks should be automated, which require human review, and how AI-generated work should be evaluated.

5. Continuous Learning Is Becoming Essential

AI tools are developing rapidly.

Managers can no longer expect everything learned during a degree to remain unchanged throughout a 30-year career. Continuous learning, experimentation, and professional upskilling will increasingly become part of management careers.

How AI Is Transforming Different Management Careers

AI’s impact is not limited to one management specialization. Its influence can already be seen across major business functions.

AI in Marketing Management

Marketing is among the management functions experiencing significant AI-driven change.

AI can help marketers analyse customer behaviour, segment audiences, personalize communication, forecast campaign performance, generate content ideas, and evaluate large volumes of customer feedback.

Emerging Skills for Marketing Managers

Future marketing professionals may benefit from understanding:

AI-assisted market research;
marketing analytics;
customer segmentation;
personalization;
digital marketing automation;
prompt design for business applications;
consumer behaviour;
brand strategy; and
responsible use of generative AI.

AI can generate a campaign concept in seconds, but determining whether that concept reflects the brand, audience, cultural context, and commercial objective still requires marketing judgment.

AI in Human Resource Management

Human Resource Management is becoming increasingly technology-enabled.

AI can assist HR teams with resume organization, workforce analytics, employee feedback analysis, learning recommendations, administrative queries, and talent-management processes.

The Human Element Becomes More Important

AI in HR also raises serious questions involving fairness, transparency, privacy, and bias.

HR professionals therefore need more than technical awareness. They must understand when human review is essential.

Future HR managers may increasingly become responsible for creating workplaces where technology improves productivity without weakening trust and employee experience.

AI in Finance Management

Finance departments traditionally deal with large volumes of structured data, making the field particularly suitable for AI-supported analysis.

AI can assist with:

financial forecasting;
fraud and anomaly detection;
risk analysis;
expense classification;
scenario analysis;
reporting;
budgeting support; and
financial research.

What Changes for Finance Professionals?

Routine analysis may become faster, but interpretation becomes more valuable.

A finance manager must understand why numbers changed, whether assumptions are reasonable, what risks exist, and how a financial decision affects the broader organization.

Therefore, financial knowledge + analytical ability + AI literacy can become a powerful career combination.

AI in Operations Management

Operations managers focus on efficiency, quality, resources, productivity, and processes.

AI can support them by analysing operational data, forecasting demand, identifying bottlenecks, predicting maintenance needs, and optimizing workflows.

The operations manager of the future may increasingly use intelligent systems to answer questions such as:

Where is productivity declining?
Which process is creating unnecessary cost?
What demand should we prepare for?
Which resources should be allocated differently?

This creates opportunities for managers who understand both operational principles and digital tools.

AI in Supply Chain Management

Supply chains face uncertainty involving demand, transportation, inventory, suppliers, geopolitical events, and market changes.

AI-supported forecasting and analytics can help organizations respond more effectively to these variables.

Future supply chain managers may use AI for:

demand forecasting;
inventory planning;
supplier analysis;
logistics optimization;
risk identification; and
scenario planning.

But human managers remain essential when unexpected events require negotiation, trade-offs, stakeholder coordination, or decisions without complete data.

AI in Sales Management

AI can help sales professionals prioritize leads, analyse customer interactions, forecast sales, personalize communication, and identify opportunities.

This does not make relationship-building irrelevant.

In complex B2B sales, trust, negotiation, communication, and understanding customer needs remain crucial. AI can tell a sales manager which opportunity looks promising, but a person may still need to build the relationship that closes the deal.

AI in Business Analytics

Business analytics is becoming one of the strongest bridges between management and technology.

Business analysts help organizations translate data into business decisions. As AI expands, professionals who understand business strategy, data interpretation, analytics, and communication may find opportunities across multiple industries.

Accurate Institute’s current PGDM information lists Business Analytics among its management specializations and AI, Machine Learning, HR Analytics, and Business Analytics among value-added certification areas, illustrating how management education is increasingly intersecting with emerging technologies.

New Management Career Opportunities Created by AI

While some routine responsibilities may decline, AI is also contributing to new responsibilities and career pathways.

Management graduates may increasingly encounter positions or career tracks connected with:

AI product management;
business analytics;
digital transformation;
AI strategy;
technology consulting;
marketing automation;
people analytics;
fintech management;
AI-enabled operations;
digital supply chain management;
innovation management;
AI governance and responsible AI;
customer experience management; and
business transformation.

Job titles will continue to evolve. Therefore, students should focus not only on a specific title but on developing transferable skills that remain useful as roles change.

AI Product Management

AI product managers work at the intersection of business requirements, customer needs, technology, and product development.

They do not necessarily build AI models themselves. Instead, they may identify problems worth solving, establish product goals, coordinate teams, evaluate user needs, and measure business outcomes.

Digital Transformation Consulting

Organizations need professionals who can determine where technology can improve business performance.

Management graduates with strong business fundamentals and AI awareness can contribute to transformation projects involving processes, customer experiences, workforce models, and digital strategy.

AI Governance

As organizations increase AI adoption, they also need policies governing security, privacy, transparency, risk, accountability, and responsible use.

This can create opportunities for professionals who understand management, governance, compliance, and technology.

Will AI Replace Managers?

AI is more likely to transform management jobs than eliminate the need for managers entirely.

AI is particularly effective at processing information, identifying patterns, generating alternatives, and automating structured tasks.

Management, however, includes responsibilities that extend beyond information processing.

Managers must often:

motivate people;
resolve conflicts;
negotiate;
communicate difficult decisions;
understand organizational culture;
make decisions under uncertainty;
build trust;
demonstrate empathy;
accept accountability;
manage stakeholders; and
exercise ethical judgment.

These responsibilities require deeply human capabilities.

Managers Who Use AI May Have an Advantage

The more relevant career question is therefore not:

“Will AI replace managers?”

It is:

“How will managers who use AI effectively compete with managers who do not?”

Professionals who combine AI tools with strong management capabilities may be able to analyse information faster, communicate more effectively, and spend more time on strategic work.

Skills Managers Need in the AI Era

The rise of AI changes the ideal management skill set.

1. AI Literacy

Managers should understand what AI can and cannot do.

AI literacy includes knowing basic concepts, common applications, limitations, risks, and how to evaluate AI-generated outputs.

Managers do not all need to become machine-learning engineers.

They do need enough knowledge to participate intelligently in AI-related business decisions.

2. Data Literacy

Future managers should be comfortable interpreting:

dashboards;
KPIs;
charts;
forecasts;
customer data;
financial data; and
business analytics.

The ability to ask meaningful questions about data will be critical.

3. Critical Thinking

AI can produce convincing but incorrect information.

Managers therefore need to verify assumptions, question outputs, compare evidence, and recognize when information may be incomplete.

Critical thinking becomes more important, not less, in an AI-powered workplace.

4. Strategic Thinking

AI may identify multiple options, but strategy requires prioritization.

Managers need to connect technology investments with organizational goals, customers, competitive positioning, resources, and long-term outcomes.

5. Communication

Managers must explain complex information clearly to employees, customers, executives, investors, and other stakeholders.

As technical tools become more sophisticated, professionals capable of translating technical insights into simple business language can become increasingly valuable.

6. Leadership and Emotional Intelligence

Employees may experience uncertainty as organizations introduce automation.

Managers need empathy, listening ability, conflict-management skills, motivation, and change-management capabilities to guide teams through transformation.

7. Creativity

Generative AI can create ideas quickly, but creative management involves recognizing which idea is distinctive, useful, commercially relevant, and appropriate for the situation.

8. Ethical Decision-Making

Managers need to consider questions involving:

data privacy;
algorithmic bias;
intellectual property;
transparency;
misinformation;
security; and
accountability.

Responsible AI use is becoming part of responsible management.

9. Adaptability

Specific AI tools will change.

A manager who learns only one platform may quickly become outdated. A manager who understands how to learn, experiment, and adapt can remain valuable across technological cycles.

How AI Is Changing Entry-Level Management Jobs

The effects of AI may be particularly noticeable at the beginning of management careers.

Entry-level employees have traditionally handled activities such as basic research, report preparation, documentation, spreadsheet work, presentations, coordination, and preliminary analysis.

AI can now accelerate many of these activities.

Does this mean management graduates have fewer opportunities?

Not necessarily. It means employers may expect graduates to contribute at a higher level sooner.

What Employers May Increasingly Expect

A graduate may be expected to:

use AI productivity tools responsibly;
interpret rather than merely collect information;
communicate insights clearly;
validate AI-generated material;
solve unfamiliar problems;
work across business functions;
understand analytics; and
learn new technology independently.

Students should therefore use AI as a learning accelerator, not as a substitute for learning.

Benefits of AI for Management Professionals

Used appropriately, AI offers several potential advantages.

Higher Productivity

Managers can automate repetitive administrative tasks and dedicate more time to strategic activities.

Better Analysis

AI can process large datasets and identify patterns that would be difficult to discover manually.

Faster Decision Support

Managers can evaluate scenarios and access summarized information quickly.

Greater Personalization

Marketing, customer service, HR, and sales teams can provide more customized experiences.

Improved Forecasting

Predictive tools can assist with sales, finance, inventory, workforce, and operational planning.

More Time for Human Leadership

When routine work is automated, managers can spend more time coaching employees, building relationships, negotiating, innovating, and solving complex problems.

Challenges Managers Will Face in an AI-Driven Workplace

AI creates opportunities, but effective managers must understand its limitations.

Inaccurate AI Outputs

Generative AI can provide incorrect or fabricated information. Business decisions should not rely on unverified outputs.

Data Privacy

Organizations must determine what information can safely be provided to AI systems.

Managers need awareness of internal policies, legal requirements, and data-protection principles.

Bias

AI systems can reflect biases in data or design.

This is especially important in areas such as recruitment, performance management, lending, and customer segmentation.

Cybersecurity

Greater technology use can introduce new security risks.

Managers need to collaborate with technology and security teams rather than viewing cybersecurity exclusively as an IT responsibility.

Overdependence on Automation

A manager who accepts every automated recommendation without questioning it can create serious business risk.

AI should support judgment rather than eliminate it.

Workforce Anxiety

Employees may worry that automation threatens their careers.

Strong managers must communicate transparently, identify opportunities for reskilling, and help teams understand how roles are changing.

AI and the Future of Leadership

The growth of AI may actually increase the importance of good leadership.

When information becomes easier to obtain, competitive advantage increasingly depends on what organizations do with that information.

Leadership determines whether AI is used merely to reduce costs or to create better products, customer experiences, jobs, and business models.

Human-Centred Leadership

Future leaders will need to combine technological confidence with human understanding.

They must know when to automate and when not to automate.

They must also ensure that efficiency does not come at the expense of ethics, customer trust, or employee wellbeing.

Leading Organizational Change

AI implementation is fundamentally a change-management challenge.

Introducing a new system can alter responsibilities, workflows, performance expectations, and team structures.

Managers who can lead people through change will therefore remain highly relevant.

How Management Students Can Prepare for AI-Driven Careers

Students do not need to wait until graduation to begin preparing.

Build Strong Management Fundamentals

Technology changes quickly, but fundamental business principles remain important.

Students should develop knowledge of:

marketing;
finance;
economics;
accounting;
human resources;
operations;
strategy;
organizational behaviour; and
entrepreneurship.

Learn Business Analytics

Understanding data can strengthen almost every management specialization.

Students should become comfortable with spreadsheets, visualization, basic statistics, dashboards, and analytical reasoning.

Use AI for Learning, Not Shortcuts

AI can help students brainstorm, compare concepts, simulate interviews, analyse cases, and receive feedback.

However, copying AI-generated work without understanding it prevents genuine skill development.

The objective should be AI-assisted intelligence, not AI-dependent thinking.

Work on Real Business Problems

Case studies, live projects, internships, simulations, presentations, and industry assignments allow students to develop skills that cannot be acquired through theory alone.

Develop Communication Skills

Students should practise presentations, business writing, interviews, negotiation, and group discussions.

The ability to explain a complex idea simply remains a powerful professional advantage.

Build a Portfolio

Students can document:

business-analysis projects;
marketing strategies;
financial models;
case studies;
internship projects;
research;
presentations; and
responsible AI applications.

A portfolio provides evidence of practical capability beyond academic marks.

Why Management Education Still Matters in the AI Era

Some students may wonder: if AI can answer business questions instantly, why pursue an MBA, PGDM, or other management program?

Because management education is not simply about memorizing answers.

A strong management program develops the ability to frame problems, evaluate alternatives, collaborate with people, communicate decisions, understand business functions, and lead under uncertainty.

These capabilities become even more important when AI makes information abundant.

Classroom Knowledge + Practical Exposure + Technology

The future-ready management student needs all three.

Business knowledge provides context.

Practical exposure provides experience.

Technology provides leverage.

Together, they can prepare graduates to operate effectively in modern organizations.

Preparing for AI-Driven Management Careers at Accurate Institute of Management & Technology

For students evaluating management education in Greater Noida and Delhi NCR, the learning environment should be considered alongside the degree itself.

Accurate Institute of Management & Technology (AIMT), Greater Noida offers management programs including MBA and PGDM. The institute’s official management information lists MBA as AICTE-approved and affiliated with AKTU, while its two-year full-time PGDM is also AICTE-approved.

This is particularly relevant in an AI-driven business environment because students need exposure that connects management concepts with practical corporate requirements.

Industry-Oriented Learning

Accurate’s published PGDM program highlights include an industry-vetted curriculum, strong industry interface, case-study learning, live projects and assignments, regular industrial visits, mentor-mentee support, personality-development training, and value-added certification programmes.

Such experiences can help students move beyond knowing management concepts to understanding how those concepts apply in real business situations.

Exposure to AI and Analytics

The institute’s current PGDM admission information identifies Business Analytics as a specialization and lists value-added certification areas including Artificial Intelligence, Machine Learning, HR Analytics, Digital Marketing, and Business Analytics.

For students preparing for management careers influenced by automation and data, exposure to these areas can complement traditional management specializations such as marketing, finance, HR, international business, and operations.

Practical and Corporate Exposure

A future manager needs more than technical awareness.

Communication, professional confidence, teamwork, problem-solving, and corporate exposure remain equally important. Accurate’s published program structure emphasizes live projects, case-study learning, industry interaction, mentoring, and professional-development activities.

This combination can be particularly valuable because AI-era employers are likely to seek graduates who can use technology while still thinking and communicating like managers.

Future Scope of AI in Management Careers

AI adoption is likely to become increasingly normal across organizations.

In the coming years, AI may become as routine in management as spreadsheets, email, presentation software, and digital dashboards are today.

What Could the Future Manager Look Like?

The future manager may begin the day with an AI-generated business summary, review an automated demand forecast, discuss strategy with a human team, use analytics to investigate a performance issue, evaluate an AI-generated proposal, meet a client, coach an employee, and make a final decision involving both data and human judgment.

Technology will be present throughout the process.

But leadership will remain human.

Management Specializations Will Become More Interconnected

Traditional boundaries may also become less rigid.

A marketing manager may need analytics skills.

An HR manager may work with people analytics.

A finance manager may participate in automation projects.

An operations manager may use predictive systems.

A strategy professional may evaluate AI investments.

The strongest management professionals may therefore develop a T-shaped skill profile: deep expertise in one business area combined with broad digital, analytical, and leadership capabilities.

Conclusion: Build a Management Career for the AI Era

Artificial Intelligence is changing management careers, but the transformation is much broader than the question of whether machines will replace jobs.

AI is changing how work is performed, how decisions are made, what employers expect, and which skills differentiate successful managers.

Routine information-processing tasks will increasingly be automated. At the same time, strategic thinking, creativity, leadership, communication, ethical judgment, adaptability, and business understanding can become even more valuable.

For aspiring managers, the right response is neither to fear AI nor to depend on it completely.

The goal is to learn how to work with AI while strengthening the capabilities that make an effective manager distinctly human.

Students pursuing management education should therefore look for opportunities to combine business fundamentals with analytics, technology awareness, practical projects, industry exposure, communication skills, and leadership development.

Accurate Institute of Management & Technology, Greater Noida offers MBA and PGDM pathways and highlights industry-oriented learning, corporate interaction, live projects, case-based learning, and technology-related value-added areas within its management ecosystem.

For students planning to begin their management journey now, this is an important time to develop the skills required for tomorrow’s AI-enabled workplace.

Admissions for the 2026–28 MBA session are currently listed as open by Accurate Institute. Students interested in building a future-ready management career can explore the institute’s MBA and PGDM programs, review eligibility and specialization options, and apply through Accurate’s official admissions platform.

Prepare for the future of management. Explore Accurate Institute of Management & Technology and take the next step toward an AI-ready management career.

Frequently Asked Questions (FAQs)

1. How is AI changing management careers?

AI is changing management careers by automating repetitive tasks, accelerating data analysis, improving decision support, and creating demand for managers with AI literacy, analytical thinking, strategy, communication, and leadership skills. Managers are increasingly expected to use AI-generated insights while applying human judgment to final decisions.

2. Will AI replace managers in the future?

AI is unlikely to eliminate the need for managers altogether. It can automate structured tasks and support analysis, but management also requires leadership, negotiation, empathy, accountability, ethical judgment, communication, and decision-making under uncertainty. Managers who learn to use AI effectively may have an advantage over those who ignore it.

3. What management jobs will be affected by AI?

AI is influencing careers across marketing, finance, HR, sales, operations, supply chain, consulting, business analytics, product management, and strategy. The extent of change varies by role, with repetitive and data-intensive tasks generally more suitable for automation.

4. What AI skills should MBA and PGDM students learn?

MBA and PGDM students should develop AI literacy, data analysis, prompt-writing skills, critical thinking, business analytics, data visualization, digital strategy, and responsible AI awareness. These should complement core management skills such as leadership, communication, finance, marketing, and strategic thinking.

5. Which management specialization is best for an AI-driven career?

There is no single best specialization. Business Analytics is directly connected with data-driven decision-making, while Marketing, Finance, HR, Operations, and Supply Chain are all being transformed by AI. Students should select a specialization based on their interests while building digital and analytical skills alongside it.

6. Is coding necessary for managers in the AI era?

Coding can be useful for some technology-intensive management roles, but it is not mandatory for every manager. Most managers need sufficient AI and data literacy to understand capabilities, evaluate outputs, communicate with technical teams, and translate technology into business value.

7. How can management students prepare for AI careers?

Students can prepare by strengthening business fundamentals, learning analytics and AI tools, participating in internships and live projects, developing communication skills, studying real business cases, building a project portfolio, and learning how to verify and responsibly use AI-generated information.

8. What new management careers can AI create?

AI can contribute to opportunities in AI product management, digital transformation consulting, business analytics, AI strategy, marketing automation, people analytics, fintech, AI-enabled operations, innovation management, and responsible AI governance. Job titles will continue evolving as organizations adopt new technologies.

9. Why is human leadership still important when businesses use AI?

AI can analyse information but cannot independently provide all the trust, empathy, organizational context, accountability, motivation, and ethical judgment required for leadership. Human managers remain essential for guiding teams, managing change, resolving conflict, and taking responsibility for important decisions.

10. How can Accurate Institute help students prepare for future management careers?

Accurate Institute of Management & Technology’s published management offerings emphasize areas such as industry-vetted learning, case studies, live projects, industry interaction, mentoring, and professional development. Its current PGDM information also lists Business Analytics as a specialization and AI, Machine Learning, HR Analytics, Digital Marketing, and Business Analytics among value-added certification areas.