The Continuum: A Blog by PHI Learning

PHI Learning, a trusted name in academic publishing with 62 years of excellence, offers affordable, NEP 2020-aligned textbooks, expert-authored content, and global reach, driving academic progress in higher education.

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  • The Difference Between Data Analysis and Data Modeling

    The Difference Between Data Analysis and Data Modeling

    In today’s information rich world, we are seeing more and more data-related analysis skills in business analysis jobs. Some data skills are critical for business analysts while others are better suited to other job functions, such as data analyst, financial analyst, reporting analyst, marketing analyst, and product management.

    In this article, we’ll look at the set of skills required for both data analysis and data modeling, describe how data modeling can require some data analysis, and explain how skilled business analysts complete this level of analysis without technical data analysis skills.

    Data Analysis Evaluates the Data Itself

    Data analysis is a set of tools and techniques to gain insight from an organization’s data. A data analyst might hold the following job responsibilities:

    • Create and analyze meaningful reports (possibly using a third-party reporting, data warehousing, or business intelligence system) to help the business make better decisions.
    • Merge data from multiple data sources together, as part of data mining, so it can be analyzed and reported on.
    • Run queries on existing data sources to evaluate analytics and analyze trends.

    Data analysts can be expected to have hands-on access to the organization’s data repositories and use technical skills to query and manipulate the data. They may also be skilled in statistical analysis and probably pursued some math classes in higher education.

    Common alternative job titles for this type of role include Report Analyst, Data Warehousing Analyst, Business Intelligence Analyst, or even Product/Marketing Analyst. The common thread among this diverse set of job titles is that each role is responsible for analyzing a specific type of data or using a specific type of tool to analyze data.

    Data Modeling Evaluates How an Organization Manages Data

    In contrast, data modeling is a set of tools and techniques to understand and analyze how an organization should collect, update, and store data. Data modeling is a critical skill for a business analyst that is involved with discovering, analyzing, and specifying changes to how software systems create and maintain information.

    A data modeller might:

    • Create an entity relationship diagram to visualize relationships between key business concepts.
    • Create a conceptual-level data dictionary to communicate data requirements that are important to business stakeholders.
    • Create a data map to resolve potential data issues for a data migration or integration project.

    A data modeller would not necessarily query or manipulate data or be involved in designing or implementing databases or data repositories.

    Data Modeling Can Require Some Data Analysis

    You often need to analyze data as part of making data modelling decisions, and this means that data modelling can include an element of data analysis. You can accomplish a lot here with very basic technical skills, such as the ability to run simple database queries. This is one reason that you can see a technical skill like SQL in a business analyst job description.

    To view the full article: http://www.bridging-the-gap.com/data-analysis-data-modeling-difference/

    Learn more with PHI Learning’s MICROSOFT EXCEL 2019 : DATA ANALYSIS AND BUSINESS MODELING, Sixth Edition by Wayne L. Winston. Buy now Online:  https://www.phindia.com/Books/BookDetail/9789389347180/microsoft-excel-2019-winston

     

  • Diversity and Inclusion in Organisational Behavior

    What Is Diversity & Inclusion?

    At its core, Diversity and Inclusion means creating an environment where every member of a workforce feels valued and respected for their unique backgrounds and perspectives. It means fostering an environment where varied perspectives are not just tolerated but actively encouraged and integrated into the decision-making process.

    The concepts of ‘Diversity’ and ‘Inclusion’ are often interwoven but distinct. Diversity refers to the presence of differences within a given setting, encompassing a range of attributes including but not limited to demographic, experiential, and cognitive differences. It signifies the variety of experiences and viewpoints that arise from individuals’ unique backgrounds and identities. A truly diverse workforce brings together a mix of ideas and approaches, which can drive innovation and problem-solving.

    Inclusion, however, goes beyond mere representation and focuses on creating an environment where everyone feels valued and integrated into the fabric of the organization. It involves the intentional design of systems and processes that ensure equitable participation and opportunities for all employees. Inclusion is about cultivating a sense of belonging and ensuring that diverse perspectives are respected and considered in organizational policies and practices. It requires active efforts to eliminate barriers and biases that can hinder full participation and engagement.

    Some Areas Covered Under D, E, & I

    An important aspect of Diversity and Inclusion is Accessibility. Accessibility focuses on creating environments that enable all individuals, including those with disabilities, to fully participate and thrive. It involves removing physical, communication, and attitudinal barriers that might hinder someone’s ability to contribute to the organization. Ensuring accessibility means designing workplaces, technologies, and processes that accommodate diverse needs, allowing everyone to perform to the best of their abilities.

    Another critical component is Psychological Safety. Psychological Safety refers to the belief that one can speak up, offer ideas, and make mistakes without fear of negative consequences. In a psychologically safe workplace, employees feel confident that they can express themselves and take risks without being humiliated or punished. This kind of environment encourages open dialogue, fosters innovation, and enhances overall team performance.

    Cultural and ethnic diversity are also key in creating an inclusive environment. Embracing cultural and ethnic diversity involves understanding and appreciating different cultural norms, traditions, and viewpoints, which enriches the workplace with a wide range of perspectives and drives innovation.

    Cultural diversity encompasses a wide range of value systems, beliefs, and traditions that individuals bring to a group. Members of a culturally diverse group may come from various nationalities, speak different languages, and hold different gender identities. They may also have different abilities and limitations. These differences can sometimes lead to clashes in beliefs and values. However, true Diversity and Inclusion means fostering an environment where individuals learn to accept and respect each other’s diverse backgrounds and perspectives.

    Embracing cultural diversity involves appreciating these differences and working collaboratively to create a harmonious and inclusive environment where everyone feels valued and understood. By promoting a culture that respects diverse cultural experiences, organizations can build more dynamic teams.

    5 Key Benefits of Incorporating D, E, & I In An Organization

    1. Enhanced Innovation – Diverse teams are more likely to come up with unique solutions and creative ideas. Different perspectives and experiences can lead to new ways of thinking and problem-solving.
    2. Better Decision Making – According to research by Cloverpop, diverse teams make better decisions up to 87% of the time. A variety of viewpoints allows for more thorough analysis and reduces the risk of groupthink.
    3. Stronger Employee Performance – Employees who feel included and valued are more likely to be engaged and motivated. This leads to higher productivity and better overall performance.
    4. Reduced Turnover – Companies that prioritize diversity and inclusion tend to have lower turnover rates. When employees feel respected and appreciated, they are more likely to stay with the company, reducing the costs associated with hiring and training new staff.
    5. Broader Market Reach – A diverse workforce can better understand and cater to a diverse customer base. This can enhance a company’s ability to connect with different segments of the market and drive growth.

    By integrating Diversity and Inclusion into the core values of an organization, companies not only create a more equitable and supportive workplace but also drive innovation, performance, and growth. Embracing these principles is not just the right thing to do—it’s a strategic advantage in today’s globalized business environment.

     

     

  • Futuristic Digital Forensics In Today’s Tech-Savvy Age

    In today’s digital age, the field of digital forensics is rapidly evolving, driven by technological advancements that enhance the identification, preservation, and analysis of electronic evidence. AI and machine learning have enabled revolutionary advancements across various industries, including the field of digital forensics.

    These days, all activities are conducted on devices. Just look around you and you’ll see what we mean! Everybody is on a device, creating records of their daily conversations, professional activities, and even their search history. Such information is likely to provide ample clues about a person’s personal motives or beliefs — don’t you think?

    In context of digital forensics, a large amount of digital data is likely to be retrieved from digital records such as emails, text messages, search histories, and other online activities that can provide a wealth of evidence for those who know how to analyze them.

    Many Forensics Departments Are Using AI

    Modern AI algorithms are capable of automatically identifying and extracting relevant data from large volumes of digital evidence, including files, emails, and logs. Furthermore, machine learning can read this data to detect patterns indicating irregularities or suspicious activities.

    Even when direct evidence is not available, AI can analyze the “digital footprint” of suspects or individuals involved in a crime. This includes user behavior on online messaging apps, social media platforms, shopping apps, dating apps, hotel booking apps, emails, and business-related software.

    Would it be possible to conduct this type of an investigation without AI? Next to impossible as this type of data could not be processed by a person alone — or even a whole team of people! It’s too large to compute manually, and this is where AI is instrumental.

    AI’s knack for spotting patterns in digital activities can be a game-changer for investigations. Even if it doesn’t provide direct clues, it can still steer things in the right direction.

    AI’s capability to identify patterns and anomalies are unlike any human detection abilities. As an example: AI has the ability to correlate user activity logs from a dating app with social media interactions. It can find correlations between purchase history from a shopping app with social media interactions.  These types of associations are near impossible to detect by just the human eye.

    These days, AI is transforming business by providing insights into correlations between (consensually provided) consumer data across different apps. This helps us further understand what consumers really want. As someone who has used AI to uncover such correlations, it is easy to imagine how this type of information could be invaluable to crime scene investigators!

    Also related to AI-powered data is Natural language processing (NLP). NLP analyzes the natural human language in a context that is more colloquial and human than mechanical or robotic.

    NLP can also play a crucial role in analyzing vast amounts of textual data from emails, chat logs, reviews, and other written communications. This is since NLP conducts sentiment analysis to uncover deeper emotions, viewpoints, values, and beliefs relevant to crime scenes.

    The Role of Sentiment Analysis in Crime Scene Investigations

    Sentiment analysis, while commonly used in business analytics, is particularly useful in crime scene investigations.
    Crimes are driven by sentiments. Often, those who try to cover up crimes may also harbour sentimental motives. As the crime fiction writer, Agatha Christie says, “Very few of us are what we seem. Every murderer is probably somebody’s old friend.” The complexities of human emotions are often hard to decipher. To uncover the deep sentiments that drive human motives, data is the only answer.

    Sentiment analysis can provide valuable insights into the intense human emotions behind criminal acts. By analyzing digital communications or transcribed oral communications, investigators can determine the overall perspective of a person towards various topics, identifying whether their opinion is neutral, positive, or negative.
    Sentiment analysis, using AI and machine learning along with other sophisticated software, is gaining traction across industries. Imagine going from guessing your way through purchase-histories of your customers for an idea on their preferences to having access to their very opinions and attitudes towards your product!

    This type of data isn’t limited to business. In digital forensics, the analysis of sentiment using AI can lead to crucial clues about their mental state, motives, emotional triggers, and potential behavioral patterns related to a crime.

    PHI Learning’s alignment with forensics and NEP 2020

    The National Education Policy (NEP) 2020 aims to transform India’s educational landscape by fostering multidisciplinary learning, critical thinking, and practical applications. PHI Learning’s book “Laws of Electronic Evidence and Digital Forensics” aligns with these objectives by blending theoretical concepts with real-world applications. It is tailored for a diverse audience, including LLB and LLM students, B.Sc. and M.Sc. students in Digital Forensics and Information Security, B.Tech students in Computer Science (Cyber Security and Digital Forensics), and those pursuing PG Diplomas in Cyber Security and Digital Forensics.

    This book provides a comprehensive understanding of digital forensics and its legal implications, equipping students with the knowledge and skills necessary to excel in their careers. By addressing recent technological advancements and aligning with NEP 2020’s goals, “Laws of Electronic Evidence and Digital Forensics” serves as an essential guide for students and professionals navigating the complexities of electronic evidence and digital investigations.

     

     

  • Beyond Urban Norms: The Cultural Nuances of Effective Rural Marketing

    We all know what Marketing Management is — but is it the same as Rural Marketing?

    Rural marketing involves strategies to identify, reach, and serve consumers in rural areas by tailoring market research and promotion to their unique needs.

    Arguably, Rural Marketing is completely different! Unlike urban marketing, which leverages data to analyze customer behavior and preferences, rural marketing requires a nuanced understanding of socio-economic conditions, cultural values, and infrastructural challenges specific to rural areas.

    Marketing in rural contexts involves distinct considerations in pricing strategies and distribution channels. Rural marketers are faced with challenges unique to rural areas such as inadequate transportation facilities and limited financial resources among rural consumers.

    For example, rural consumer behavior can be very distinct from the field of consumer behavior, as we know it.

    In rural communities, local leaders and traditions play a significant role in shaping consumer behavior, making it crucial for marketing strategies to incorporate and respect these dynamics. For instance, while urban marketing may rely more on digital platforms, rural marketing often benefits from traditional media like radio and local influencers.

    The Significance of Rural Marketing in India

    India’s rural market holds immense potential, with approximately 65% of its population residing in rural areas. This demography presents a lucrative opportunity for businesses due to increasing incomes and rising aspirations among rural consumers. The rural youth population, in particular, is open to new products and technologies, making them a valuable target for marketers.

    Rural marketers should harbor the unique value of cultural sensitivity in order to appropriately harness this opportunity.

    For example, good rural marketers understand the opportunity of product customization in such areas. Products that reflect local tastes, needs, and cultural nuances can significantly enhance appeal and acceptance.

    PHI Learning’s text “Rural Marketing and Management – Gupta et al” explains such considerations in detail. It helps students understand the key concepts which could lead to innovative ideas like using local languages and symbols in packaging to boost product attractiveness.

    Additionally, it explains in detail the processes involved in navigating challenges such as poor infrastructure—like inadequate road access or unreliable electricity—can give brands that address these issues a competitive edge.

    Here’s another key difference between rural and urban marketing that will make you wonder how you never saw it this way before: Marketing channels are a huge factor when it comes to the difference between urban and rural areas. While urban consumers prefer digital interactions, rural consumers rely more on traditional media.

    To leverage traditional media as a strategic move to reach rural consumers, Hindustan Unilever famously used rural radio shows, Godrej used mobile vans for direct interaction, and Tata Motors promoted the Tata Ace through local trade shows and community demonstrations.

    PHI Learning’s book also covers some of the above cases like Hindustan Unilever to provide practical, real-world examples to support its theory.

    Alignment with NEP 2020

    PHI Learning’s publication “Rural Marketing and Management” by Gupta et al. is aligned with the National Education Policy (NEP) 2020, which aims to transform India’s educational landscape by promoting multidisciplinary learning, critical thinking, and practical applications.

    Comprehensive Coverage: The book provides an in-depth exploration of rural marketing and management, including consumer behavior, trends, and government initiatives. This aligns with NEP’s emphasis on a holistic educational approach.

    Practical Insights: Through case studies and real-life examples, the book offers practical lessons and hands-on learning, reflecting NEP’s focus on experiential education.

    Innovation Focus: It includes chapters on Rural Digital Marketing, E-commerce, and Rural Entrepreneurship, preparing students for the evolving rural market landscape and supporting NEP’s vision of fostering creativity and innovation.

    By equipping students with the knowledge and tools to excel in rural markets, “Rural Marketing and Management” serves as a valuable resource for MBA (Marketing), PG Diploma in Rural Marketing/Development, B.Com/M.Com, and B.Tech students, aligning with NEP’s goals of interdisciplinary and application-based education.

     

  • Discover the global impact of PHI Learning! Visit us at Stall No. 12A-14E at the forthcoming Delhi Book Fair

    PHI Learning Pvt. Ltd invites you to our stall at the Delhi Book Fair from 7th to 11th August at Bharat Mandapam, New Delhi. Discover our extensive collection of high-quality, affordable textbooks that have been empowering educators and inspiring students for over 62 years.
    • Explore over titles under our renowned Eastern Economy Editions imprint.
    • Experience the global reach of PHI Learning, with books adopted by premier institutions worldwide.
    • Browse through the leaves of the books at leisure to decide your purchase.
    • Connect with our team for new collaborations, co-publishing, translation, and copyright arrangements.
    Don’t miss the chance to be a part of the biggest book bonanza, packed with literary activities, book releases, and insightful seminars.
    📅 Date: 7th – 11th August 📍 Venue: Bharat Mandapam, Pragati Maidan, Stall No. 12A-14E, New Delhi
    Empower your teaching and learning journey with PHI Learning. See you there!
  • Accounting Heroes: Dr. Reddy’s Laboratories Case & the Impact of Scholarly Publishing in India

    When we think of scholarly publishing, it’s usually about fulfilling career goals. But let’s take a step back: scholarly publishing isn’t just about books; it’s about unleashing groundbreaking discoveries. These findings aren’t just informative; they’re game-changers, opening doors to new insights and solutions.

    When it comes to research findings, they are ultimate game-changer. They’re not just pieces of information; they’re the keys to unlocking new knowledge, insights, and solutions to some of the toughest challenges we face. Scholarly works play a crucial role here, documenting and spreading these findings far and wide.

    They’re like heroes in the world of breakthroughs, illuminating uncharted territories, challenging norms, and driving transformative change. Whether it’s a groundbreaking scientific discovery, a revolutionary technological innovation, or a paradigm-shifting theoretical framework, scholarly works are the driving force behind progress in every field.

    The impact of scholarly works extends beyond academia, influencing policymaking, industry practices, and societal norms. Governments, businesses, and nonprofit organizations often rely on research findings to inform their decisions and strategies, making scholarly works instrumental in driving positive change on a global scale.

    One such example is the case of Dr. Reddy’s Laboratories, which is also discussed in detail in PHI Learning’s bestseller Financial Accounting by Narayanaswamy. This case is a great example of how impactful academic research and scholarly publishing can be.

    The Case of Dr. Reddy’s Laboratories

    Investigation Stages

    Details

    Initial Suspicion: Accounting experts with access to the financial reports of Dr. Reddy’s Laboratories’, a pharmaceutical giant, noticed discrepancies in their books of accounts.

    Fraud Analytics Investigation: They further investigated the financial data, discovering irregularities that screamed potential fraud.

    Application of the Fraud Triangle: They studied the company culture and money incentives, finding possible motives for people to participate in the fraud. They also looked into internal controls, spotting where things could go wrong.

    ESG Considerations in Analysis: Researchers looked into how the company was dealing with the social environment and governance. It gave them a bigger picture beyond just the money.

    Analysis of the Statement of Cash Flows: They looked deeper into cash flow statements, tracking the money flow and finding some shady discrepancies. Differences between what was reported and what actually happened raised some red flags.

    In this case, scholarly publishing played a crucial role, literally acting as a “hero of the day,” in helping expose the fraud. Without scholarly platforms, such revelations would be challenging. They facilitate crucial discussions and knowledge exchange, vital for uncovering complex issues like financial fraud.

    Published research on this case raised awareness about the importance of transparency and accountability in corporate governance, serving as a catalyst for reform. The topic of the case went viral, presenting itself as a trend within the scholarly publishing sphere at that time.

    This case shows how scholarly publishing is vital to the advancement and progress of any nation – particularly India. Due to its utility as a gateway to breakthroughs, it is important to keep in touch with the current trends emerging in scholarly publishing scenes and academic communities in India and abroad.

    Such and more cases are covered in our book Financial Accounting: A Managerial Perspective, 7th Edition written by former IIM Bangalore Professor R. Narayanaswamy. Click here if you wish to buy a copy https://www.phindia.com/Books/BookDetail/9789354437656/financial-accounting-narayanaswamy