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    Data-science-vs-Business-intelligence

    Data Science and Business Intelligence. (Difference, similarities, and interrelationship).

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    Dear Readers,

    Tongston is a multi-award-winning group focused on entrepreneurial education, enterprise, finance and media leveraging on technology to turn people, governments and institutions into valuable, influential and profitable entities.

    Check out our latest entry in our Entrepreneurial Blog sharing with you amazing insights on enterprise, education, media and finance globally, premised on entrepreneurial thinking. 

    Introduction

    Data is the new gold. As key to the information revolution, the importance of data and the potential it unleashes has been well acknowledged and emphasized. Companies and institutions, realizing the importance of data, have been collecting and storing data even before they knew what to do with it. However, as the volume of data has tremendously increased in recent years, organisations have sought to extract insights from these data that can help identify and explain past and present trends, and predictions future outcomes. This need has given rise to two related and complementary fields: data science and business intelligence. 

    Meaning of Business Intelligence 

    Business intelligence (BI) is the performing of descriptive analysis of data to inform business decisions. It uses technologies and tools to collect, organise, and transform data with the aim of driving the actions of a business. BI technologies and practices are used to support business operations such as :

    • Identifying trends in market behaviour and business performance. 
    • Discovering ways to improve business processes and identify revenue generation opportunities. 
    • Comparing performance with competitors to identify strengths and weaknesses of the business. 

    Meaning of Data Science 

    Data science is the process of using advanced mathematical and statistical techniques to extract valuable information from datasets and create forecast. It employs sophisticated statistical and computer science tools such as machine learning, artificial intelligence, and descriptive analytics to collect, model, summarize and analyse data. By analysing the data, the patterns behind the raw data can be discovered and used to predict future trends. 

    Data science is applied in a broad range of industries ranging from the health sector to the automobile sector where they are applied in self-driving cars. It also offers a broad range of carrer opportunities [link to Fatimo’s post] across industries. In business, data science can be used to forecast sales, predict market trends, and discover consumer spending patterns. 

    Differences between data science and business intelligence 

    Though both data science and business intelligence turns data into valuable information, there are some subtle difference between them. These differences can be grouped into the following categories:

    Objective:

     Data science uses predictive analysis of historical data to forecast future events and conditions such as business trends and consumer behaviour. It is more concerned with getting insights on the future outcomes of specific business issues. 

    Business Intelligence, on the other hand, is more concerned with what is happening or have happened in the past. It uses descriptive analysis to present historical data in a way that is easy to visualise and understand. It is focused on generating reports that clearly communicates the present and past state of the business. 

    Scope 

    Data science aims at predicting specific events and finding out the validity of specific hypothesis. Hence the result of a particular predictive analysis is limited to the specific hypothesis in question.

    On the other hand, business intelligence is general in scope. The results of descriptive analysis must be in a form that any business unit can use it to generate whatsoever report they need. Business intelligence can provide insight on a wide variety of issues and often serve as the foundation for more in-depth analysis.

    Skills requirement:

    Data scientists are required to have a variety of technical knowledge such as coding, data mining, machine learning, and other advanced statistical knowledge. They are also required to have a good degree of understanding of the particular domain of the problem they are handling. 

    Business analyst require mainly basic statistical skills in addition to data transformation and visualisation skills. They however require a deeper and wider knowledge of the business to effectively serve each unit.

    Data Collection and Integration. 

    Data science applies the process of extract/load/transform (ELT) in handling data. In this process, the data is first extracted from one or multiple sources then loaded into the data warehouse. The data is then transformed (sorted and normalized) in the warehouse in line with the needs of the specific analysis being done at a particular time. Thus offers flexibility as the query can be tailored to meet the needs of the specific analysis. 

    Business intelligence, on the other hand, employs the process of extract/transform/load (ETL). In this process, the data is transformed before it is loaded into the data warehouse. Thus the warehouse schema is clearly defined making it easy for users to carry out analysis and generate reports. 

    Similarities between data science and business intelligence. 

    Despite the differences between data science and business intelligence, there are still major similarities between them. The most glaring similarity between them is that they both use data to provide meaningful insight for an organisation. As such the quality of output they produce is largely dependent on the quality and accuracy of data they receive. 

    Another important similarity between them is that they both require collaboration with other parts of the business to fully function. They require input from the operations of other business units and their output is determined by the needs of the business. Also data scientists and business analysts often collaborate to produce a more complete and useful insight on the organisation’s past, present, and future operations.

    Interrelationship between data science and business intelligence 

    Though either data science and business intelligence can provide meaningful insight for an organisation, combining both of them will provide the full insight of the past, present, and future state of the organisation. With business intelligence, the organisation can discover trends in its past outputs and profitability as well as in market and consumer behaviour. While with data science the organisation can predict the impact of various decisions and market conditions on the output and profitability of the business. Thus the insight from the two fields, when combined together, can be used to accurately guide business decisions to achieve a specific goal.

    Getting started with data science and business intelligence 

    It is clear at this point that both data science and business intelligence, either apart or in combination, are essential in providing data-driven insights that are needed to accurately guide the decision making process. Also, with the recent advances in such technologies as cloud computing, machine learning, and artificial intelligence, the ability of data science to transform business outcomes has greatly increased. Consequently, the demand for qualified data science and business intelligence professionals is steadily rising. 

    The key to an impactful career in data science goes beyond simple knowledge of statistical or data manipulation procedures. Success in data science or business intelligence requires a deep understanding of how to glean out insights from a business and how such insights can be structured in a way that accurately guides decision making.

     At Tongston’s introduction to data science course. we provide the basic knowledge in statistics, data cleaning and manipulation, and programming needed to carry out basic data science and business intelligence processes. Also, our curriculum involves practice with real-world scenarios and entrepreneurial classes that offer first-hand insight on how data science can transform business outcomes. Enroll in the introduction to data science course today.

    data scientist

     Career path: Data Scientist vs Data Analyst

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    Dear Readers,

    Tongston is a multi-award-winning group focused on entrepreneurial education, enterprise, finance and media leveraging on technology to turn people, governments and institutions into valuable, influential and profitable entities.

    Check out our latest entry in our Entrepreneurial Blog sharing with you amazing insights on enterprise, education, media and finance globally, premised on entrepreneurial thinking. 

    Introduction

    Data scientists and data analysts are two of the most in-demand roles in the field of data analytics, and yet there is often confusion about the differences between these two roles. If you’re considering a career in data analytics, it’s important to understand the key differences between data scientists and data analysts, as well as the skills and knowledge required for each role.

    What is a Data Scientist?

    Data scientists are professionals who use scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. They are experts in data mining, machine learning, and statistical analysis, and use these skills to solve complex problems in a variety of industries, such as finance, healthcare, and retail.

    Data scientists need a strong foundation in mathematics and statistics, as well as programming skills in languages such as Python and R. They should also be familiar with machine learning algorithms and techniques, as well as database management systems and SQL. In addition, data scientists should have excellent problem-solving and communication skills, as they will often be working on complex projects and will need to present their findings to a wide range of audiences.

    What is a Data Analyst?

    Data analysts are professionals who use data to inform business decisions. They collect, process, and analyze large amounts of data, and then present the results in a clear and concise manner to stakeholders. Data analysts work in a variety of industries, including finance, healthcare, and retail, and are responsible for generating reports, creating dashboards, and providing insights that help organizations make better decisions.

    Data analysts need strong math and statistics skills, as well as programming skills in languages such as SQL and Excel. However, their focus is more on generating reports and dashboards, rather than developing complex models and algorithms. Data analysts should also be proficient in data visualization tools such as Tableau and Power BI, as they will be responsible for presenting data in a clear and concise manner to stakeholders. Data analysts work in a variety of industries, including finance, healthcare, and retail, and are responsible for generating reports, creating dashboards, and providing insights that help organizations make better decisions.

    Data analysts need strong math and statistics skills, as well as programming skills in languages such as SQL and Excel. However, their focus is more on generating reports and dashboards, rather than developing complex models and algorithms. Data analysts should also be proficient in data visualization tools such as Tableau and Power BI, as they will be responsible for presenting data in a clear and visually appealing manner. In addition, data analysts should have strong communication and presentation skills, as they will be responsible for presenting their findings to stakeholders and decision-makers.

    What are the main differences between Data Scientists and Data Analysts?

    The main difference between data scientists and data analysts is the scope of their work. Data scientists are responsible for solving complex problems and developing models and algorithms to extract insights from data, while data analysts are responsible for generating reports and dashboards, and providing insights to inform business decisions. Also data scientists typically have a more technical skill set, with expertise in areas such as machine learning and statistical analysis, while data analysts have a more focused skill set, with expertise in areas such as data visualization and report generation.

    Another key difference is the level of education and experience required for each role. Data scientists typically have advanced degrees in fields such as computer science, statistics, or mathematics, and may have several years of industry experience. Data analysts, on the other hand, may have a bachelor’s degree in a field such as business, economics, or computer science, and may have less industry experience.

    In terms of career prospects, both data scientists and data analysts are in high demand, as organizations of all sizes are increasingly looking to leverage data to inform their decision-making. However, data scientists tend to have more opportunities, as they have a more specialized and technical skill set. Data analysts may have more limited career advancement opportunities, as they are more focused on generating reports and dashboards, rather than developing complex models and algorithms.

    How do I choose between a career as a Data Scientist or a Data Analyst?

    If you’re considering a career in data analytics, it’s important to carefully consider your strengths, interests, and career goals. If you enjoy solving complex problems and have a strong foundation in mathematics. Ultimately, the choice between a career as a data scientist or a data analyst will depend on your interests, skills, and career goals. If you enjoy solving complex problems and have a strong foundation in math and programming, a career as a data scientist might be a good fit for you. On the other hand, if you are more interested in using data to inform business decisions and have strong communication and visualization skills, a career as a data analyst might be a better fit.

    It’s worth noting that many professionals in the field of data analytics start out as data analysts and then transition to data science roles as they gain more experience and education. This can be a good way to get your foot in the door and learn about the various tools and techniques used in the field, while also determining if a career as a data scientist is the right fit for you.

    No matter which role you choose, it’s important to continuously learn and improve your skills in order to stay competitive in the fast-changing field of data analytics. This might involve taking online courses or earning additional certifications, such as the Data Science Certificate from the Institute for Statistics Education or the Certified Data Analyst Certificate from the Data Science Council of America.

    In conclusion, data scientists and data analysts are two important roles in the field of data analytics, and while there are some similarities between the two, there are also significant differences. Data scientists are responsible for solving complex problems and developing models and algorithms to extract insights from data, while data analysts are responsible for generating reports and dashboards, and providing insights to inform business decisions. If you’re considering a career in data analytics, it’s important to carefully consider your interests, skills, and career goals, and choose the role that best aligns with these. Regardless of which role you choose, it’s important to continuously learn and improve your skills in order to stay competitive in this fast-changing field.

    Top skills needed to break into a career in data science

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    Dear Readers,
    Tongston is a multi-award-winning group focused on entrepreneurial education, enterprise, finance and media leveraging technology to turn people, governments and institutions into valuable, influential and profitable entities.
    Check out our latest entry in our Entrepreneurial Blog sharing with you amazing insights on enterprise, education, media and finance globally, premised on entrepreneurial thinking.
    Introduction

    The objective of this article is to provide a guide for you on the skills needed for a successful career path as a data scientist, questions like How can I break into this career? How do I get started? How relevant are these skills? What are their importance? and Must all be attained before I can become a certified data scientist? Will be answered in this article. Do have a good read!


    Table Of Contents


    ● Who is a data scientist?
    ● Career opportunities in data science
    ● Top skills to break into a career in data science
    ● How to get started
    ● Conclusion

    Who is a data scientist?


    This is the big question every data science enthusiast wants to know. Knowing what a career path entails before trending helps to sharpen the bit-by-bit step to achieving a goal. It isn’t ideal if till today one still mistakes a data analyst for a data scientist, well after the introduction, I am such a person who will have more understanding of
    who a data scientist is. A data scientist is an analytics professional responsible for collecting, analysing, and interpreting data to help drive decision-making in an organisation. This is the technical meaning of data science, it isn’t limited to analyzing alone, making sense of structured, and unstructured data, building models, training models, testing models, and making meaningful and insightful decisions are all encompassed in data science.
    The data scientist’s role combines elements of technical professions, including mathematician, scientist, statistician, and computer programmer. It involves using advanced analytics techniques, such as machine learning and reductive models, along with applying scientific principles; these areas will be discussed later in this article.


    Career opportunities in data science


    The saying “ I am a Data scientist” is for the generality of the profession as there are different areas of focus data science is embedded with, and an individual needs to focus on at least one of them, below is a list of some of these careers.
    ● Data Engineer click Here for further reading
    ● Business Intelligence (BI) Developer click Here for further reading
    ● Machine Learning Scientist click Here for further reading
    ● Data Scientist click Here for further reading
    ● Machine Learning Engineer click Here for further reading
    ● Applications Architect Click Here for further reading
    ● Data Analyst Click Here for further reading

    Top skills to break into a career in data science


    The skills needed to break into a career in data science or thrive in the data science career path are grouped into two basically:

    Technical Skills: These are the needed skills for carrying out the core task of a data scientist, technical skills in a nutshell are the programming skills. This is also segmented as different software has different purposes, below is its segment:

    ● Analytics Programming Skill: Python, R, C, C++, Java, and SQL
    ● Analytics Software Skill: Excel, SAS, and SPSS
    ● Data Visualization: Tableau, and PowerBi
    ● Artificial Intelligent (AI): Neural networks, Natural language processing (NLP), Reinforcement learning, and Computer vision.
    Non-Technical Skills: These skills complement the non-technical skills, they are very important and if found wanting in a data scientist, such a data scientist is a half-baked one. These skills help us understand your thesis better, it grooms the analytical skills and helps in reporting. Below are the non-technical skills:
    ● Communication Skill: Writing, speaking, reading, and Listening.
    ● Presentation Skill
    ● Project Collaboration
    ● Teamwork
    ● Work ethics


    How to get started


    You can start your data science journey with Tongston’s Introduction to data science product, the course has all it takes to get you started, for enquiry check out our website www.tongston.com and subscribe to our newsletter.


    Conclusion


    I hope you had a good read. The article has been able to enlighten the reader on what data science is, the career opportunities in data science, the top skills needed, and how to get started.


    Watch out for our next Data science Insight only on Tongston Entrepreneurial Blog every Thursday!

    pexels-andrea-piacquadio-941555

    TIME VALUE OF MONEY

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    DEAR READERS, 

    Tongston is a multi-award-winning group focused on entrepreneurial education, enterprise, finance, and media, leveraging on technology to turn people, governments, and institutions into valuable, influential, and profitable entities. 

    The Tongston Entrepreneurial Blog shares with you amazing insights on enterprise, education, media, and finance globally, premised on entrepreneurial thinking

    INTRODUCTION

    When I was in my early 20s at a prestigious university in Nigeria studying Finance, ‘time management’ was one of those phrases which seemed to be on everyone’s lips, from lecturers to students. 

    The phrase Time value of money refers to the fact that a naira in hand today is worth more than a naira promised at some time in the future. One reason for this is that you could earn interest while you waited. So, a naira today would grow to more than a naira later.

    WHAT IF THERE IS MORE TO THIS?

    Of course, the reality is that you can’t manage time.  You can’t order it to stop, go slower, or speed up.  What you can do is use your time more effectively.  That’s an ongoing battle for anyone leading a busy life.

    There are a lot of written items about the time value of money (the idea that money available at present is worth more than the same amount in the future due to its potential earning capacity), and a fair amount about the money value of time, which in economic terms can be described as opportunity cost – the value of your time, and therefore the cost of you doing something yourself compared to the cost of outsourcing it – but there’s more than economics at play here.  The value of the time we have regained by taking on a cleaner extends way beyond its monetary value.

    By investing time, we can earn money which is important in today’s world.

    In our personal lives there are always things we do from habit rather than necessity, and if we stopped doing them the only outcome would be having more time to spend on the things we want to be doing.

    In our personal lives, we want to spend as much time as we can do the things we like with the people we value most in our lives.  However, we often hang on to things we don’t like doing rather than delegating them to someone else.

    Money gives us choices.  After satisfying our need for food, clothing, and shelter, we can choose how we allocate our discretionary expenditures.

    I choose to spend some of the money I work hard to earn on buying time – it’s the most valuable asset there is.

    Join our Thinkers Network to get access to curated resources for your personal, business, and professional development.

    Written by Oladayo Tinuoye

    Finance and Settlement Officer, Tongston Group

    At Tongston, we build valuable, profitable, and influential people, governments, businesses & Non-profits.

    How?

    Check out one of Tongston’s products and services, ranging from

    ● Entrepreneurial education for primary, secondary, tertiary, and post-tertiary levels through

    Tongston Institute and College;

    ● Business development, advisory, capital, and asset management through Tongston Ventures;

    ● Access to multimedia services through Tongston Media; and

    ● Technology, data, research, accounting, treasury, legal, governance, strategy, HR, and administration services through the parent company, Tongston Holdings.

    And find out today!

    Watch for our next Entrepreneurial Insight on Tongston Entrepreneurial Blog every Thursday!

    Sign up for our newsletter and never miss out!

    digital lib

    DIGITAL LIBRARY— Definition and Misconception

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    DIGITAL LIBRARY— Definition and Misconception


    Dear Readers,
    Tongston is a multi-award-winning group focused on entrepreneurial education, enterprise, finance and media leveraging on technology to turn people, governments and institutions into valuable, influential and profitable entities.


    Check out our latest entry in our Entrepreneurial Blog sharing with you amazing insights on enterprise, education, media and finance globally, premised on entrepreneurial thinking.


    INTRODUCTION

    A digital library, also called an online library, an internet library, a digital repository, or a digital collection is an online database of digital objects that can include text, still images, audio, video,
    digital documents, or other digital media formats or a library accessible through the internet.
    Objects can consist of digitized content like print or photographs, as well as originally produced digital content like word processor files or social media posts. In addition to storing content, digital libraries provide means for organizing, searching, and retrieving the content contained in the collection (Wikipedia).

    The concept of a “digital library” is not merely equivalent to a digitized collection with information management tools. It is rather an ENVIRONMENT to bring together collections, services, and
    people in support of the full life cycle of creation, dissemination, use, and preservation of data, information, and knowledge.

    The internet indeed offers an exhaustive range of reading materials all for free. However, it is not a complete or organized reading system that has inbuilt features that facilitate learning. It does give you the right exposure as it is not made to pull relevant and premium books that one should read for studying a subject. The search engines are only trained to crawl through the database and present information that is nearly relevant to what you are searching for.

    However, digital libraries are built to offer course relevant premium as well as free or informative materials for reading. Digital Libraries help students access educational books that adhere to the syllabus
    and read and re-read them for study.


    Association of Research Libraries has identified the following five elements in various definitions of the digital libraries:

    1.The digital library is not a single entity;
    2.The digital library requires technology to link the resources of many
    3.The linkages between the many digital libraries and information services are transparent to
    the end users;
    4.Universal access to digital libraries and information services is a goal;
    5.Digital library collections are not limited to document surrogates: they extend to digital artefacts that cannot be represented or distributed in printed formats.

    Features of a digital library:
    ● Variety of digital information resources
    ● Digital Libraries Reduce the need for physical space
    ● Users at remote
    ● Users may build their own personal collections by the facilities provided by Digital Library
    ● Provide access to distributed information resources
    ● Same information resource can be shared by many at the same time
    ● Paradigm shift both in use and ownership
    ● Collection development be based on potential usefulness and appropriate filtering mechanisms be followed to negotiate the problem of plenty
    ● Ability to handle multilingual content

    Misconceptions of Digital Library

    Misconception: The Internet is the digital library
    The concepts of organization and selection separate digital libraries from the Internet as a whole. Locating information on the internet remains highly inefficient especially for unfamiliar users, the quality of the information is quite variable, and sometimes unreliable.
    On the other hand, information in a digital library has been organized in some manner to provide the resource collection, cataloging, and service functions of a traditional library.

    In addition, the resources in digital libraries have gone through some sort of formal selection process based on clear criteria, such as including only resources that come from original materials or authoritative sources. Digital libraries are thus an effort to address the problem of information overload often associated with the Internet.
    Schools and organizations must therefore develop a digital library encompassing all the five elements of a model digital library as documented by the Association of Research Libraries.

    Join our Thinkers Network to get access to curated resources for your personal, business and professional development. At Tongston, we build valuable, profitable and influential people, governments, businesses & Non-profits.
    How?

    Check out one of Tongston’s products and services range from

    ● Entrepreneurial education for primary, secondary, tertiary, and post-tertiary levels through Tongston Institute and College;
    ● Business development, advisory, capital and asset management through Tongston Ventures;
    ● Access to multimedia services through Tongston Media; and
    ● Technology, data, research, accounting, treasury, legal, governance, strategy, HR and administration services through the parent company, Tongston Holdings.

    And find out today!
    Watch out for our next Entrepreneurial Insight only on Tongston Entrepreneurial Blog every
    Thursday!
    Sign up to our newsletter and never miss out!

    educate yourself

    SELF EDUCATION: THE PROCESS OF LIFELONG LEARNING

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    SELF EDUCATION: THE PROCESS OF LIFELONG LEARNING

    Dear Readers,
    Tongston is a multi-award-winning group focused on entrepreneurial education, enterprise, finance and media leveraging on technology to turn people, governments and institutions into
    valuable, influential and profitable entities.
    Check out our latest entry in our Entrepreneurial Blog sharing with you amazing insights on enterprise, education, media and finance globally, premised on entrepreneurial thinking.

    Introduction

    It was believed that to have a successful career, one must Study hard at School, Enter a good University and Graduate with good Grades. This old ideology for a successful career, where formal education was the main ingredient, no longer works. By the time students receive their bachelor’s or master’s degree, it is very possible that their
    profession will have become irrelevant. Also, there may be a problem of skills mismatch—where the skills do not meet the demand of the employer or society even with a university education.

    The old recipe for a successful career, where formal education was the main ingredient, no longer works. It is time to search for new ways.
    People therefore need to learn:
    •Essential life skills
    •Systems that are adaptable to new market
    •Personal qualities
    That is why it is no longer so important whether you studied at university at all or how many degrees you have. What really matters is whether you have the skills (Supply) that can meet the demands of the modern market.

    PERSONAL/CAREER DEVELOPMENT RECIPE

    Building and developing a career today is like developing an enterprise. There is too much information around us, which means that one can never have enough of it. The world is a dynamic place which means we constantly need to adapt and Continuous learning is the key to adaptation which include the need to master skills that will help you expand your horizons, get new perspectives and opportunities. These are skills and knowledge will:
    ▶ allow you to adapt to constantly changing conditions, such as creativity and entrepreneurial skills
    ▶ help you simplify complex systems, such as design skills, systems, and design thinking
    ▶ allow you adapt to communication technologies: for example, research skills and the ability to process information, digital skills, media literacy.

    The development of new skills should be approached systematically.

    Step 1: Chart your future path. What do you want to be? Then Make a list of skills that you need and want to learn.

    Step 2: Determine what is important to you at that time. Is it personal or professional? Usually, each skill helps you to solve one of these objectives. Determine which skills help you progress in the direction that matters to you most.

    Step 3: Assess how easy it would be to learn the skill that you are interested in—you may have an aptitude for this particular task or there may be a huge discount on courses that you have been thinking about taking for a long time?

    Perhaps your friends or colleagues are already doing whatever it is you are interested in and will help you take your first steps in this new undertaking.

    Step 4: Determine if you have enough resources (time, energy and money) to learn something new.
    It is better to learn gradually but regularly, rather than rarely, but trying to absorb huge chunks of information that you simply can’t comprehend altogether.

    CREATING YOUR SELF-EDUCATION SYSTEM

    Investing in yourself is one of the most profitable decisions you will ever make. After all, a personal resource will never depreciate. Your skills, experience, and knowledge cannot be stolen or used in any way other than to your advantage. When you have your own self-education system, it automatically helps increase your learning speed and the volume of information you can absorb.
    Your personal development must be systematic for it to be effective. You need to determine your learning strategy in advance. 

    Formal education will enable you to secure a paycheck, self-education will make you a fortune —Eric Worre

    .
    Self education is at the heart of what Tongston promotes. Infact, Tongston’s education services are built on the following pillars:
    – Lifelong Learning
    – Story-driven Project based Learning (the story being yours)
    – Experiential Learning
    – Personalized / Self-driven Learning
    – Entrepreneurial Thinking-based Learning (delivering learning to enable you become valuable, influential and profitable)
    The Tongston Entrepreneurial Education Course (TIEEC) provides a platform to achieve just this!
    With TIEEC, Educators, Professionals, Entrepreneurs & Students achieve increased value, influence & profit in their profession, business or academics.
    TIEEC leads to increased business knowledge, increased income, enhanced recognition, mindset change, better learning outcomes & performance of students (for educators), improvement in academic, soft, work, 21st century & technical skills & career change.

    Benefits

    ● Gain soft, academic, 21st century, work skills to become a more effective & impactful
    educator, entrepreneur, professional or student
    ● Builds capacity of participants to start/scale businesses & increase business value
    ● Increased income & positive career change
    ● Better student performance and improved educator classroom delivery, for educators
    ● Enables you to think, create and sell your ideas
    ● Access world-class global network of entrepreneurial thinkers
    ● Fosters collaborative learning and accelerates personal growth
    ● Access Tongston’s products & services in media, finance & enterprise e.g. funding for MSMEs, Entrepreneurial CV & pitch deck clinic, personal branding, entrepreneurial hub services
    ● Opportunities to pitch yourself/your businesses during TEES 2023 to a global audience in 54 countries
    ● Experiential and live Synchronous Learning Sign up today.

    At Tongston, we build valuable, profitable and influential people, governments, businesses & non-profits.
    How? Check out one of Tongston’s products and services range from
    ● Entrepreneurial education for primary, secondary, tertiary, and post-tertiary levels through Tongston Institute and College;
    ● Business development, advisory, capital and asset management through Tongston Ventures;
    ● Access to multimedia services through Tongston Media; and
    ● Technology, data, research, accounting, treasury, legal, governance, strategy, HR and administration services through the parent company, Tongston Holdings.
    And find out today!
    Watch out for our next Entrepreneurial Insight only on Tongston Entrepreneurial Blog every Thursday!
    Sign up to our newsletter and never miss out!

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    Going Global in the path to achieve VALUE, INFLUENCE & PROFITABILITY through Tongston Entrepreneurial Hub

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    Going Global in the path to achieve VALUE, INFLUENCE & PROFITABILITY through Tongston Entrepreneurial Hub

    1 billion unemployed and underemployed globally (ILO).

    85 million workers would be displaced in the next 5 years globally (OECD).

    69 million new teachers required to reach the 2030 Education goals (UNESCO).

    689 million people live on less than $1.90 a day (World Bank).

    50% of all employees will need reskilling by 2025 (OECD).

    1.2 billion youth aged 15 to 24 years, accounting for 16% of global population (UN).

    The indices are only worsening. The world has never been more challenged, teetering on the brink of yet another global recession. The global economy, still recovering from the unprecedented
    global pandemic and Russia’s invasion of Ukraine, is facing an increasingly gloomy and uncertain outlook. High levels of inflation, stretched fiscal positions, dwindling foreign reserves, and
    contracting economies are pushing many countries on the brink of starvation, rising unemployment, insecurity amongst other socio-economic challenges. Everything is economic. Yet people largely exist in a highly polarised and increasingly unequal world. Now more than ever, urgent innovative action is required to provide solutions to our greatest challenges.
    This is through equipping people to be entrepreneurial thinkers (creating value in any industry, doing so influentially, and profitably ensuring long term sustainability of value created, whether in
    government, private sector, or the development space anywhere around the world).

    ENTREPRENEURIAL THINKING = VALUE, INFLUENCE, PROFITABILITY
    THROUGH
    EDUCATION
    ENTERPRISE
    MEDIA
    FINANCE
    =
    ENTREPRENEURS
    +
    INTRAPRENEURS
    DRIVING GLOBAL SUSTAINABLE SOCIO-ECONOMIC DEVELOPMENT

    Importantly, organizations are “going global” – allowing organizations access stakeholders, clients, partners, beneficiaries and more across borders. Given globalization has led to a highly
    interconnected global economy, it has become an absolute necessity for continued growth and success for organizations to “go global”. Rapid technological enhancements and innovations have widened professional and social networks at an unprecedented rate without boundaries.
    Furthermore, according to a recent report by the International Trade Centre, “Firms must
    ▪ Network to learn and upgrade Craft trust-based, long-term relationships with buyers, in a way that enables the firm to learn and improve its service offering
    ▪ Invest in research, certification and customization: Customize services to meet the needs of buyers, invest in research and development, and develop unique products.
    ▪ Set up formal hiring and training: Establish formal hiring processes and training practices to identify and nurture workers with the right set of skills.
    ▪ Improve financial management: Enhance financial management practices and develop the capacity to approach funding entities with a compelling business plan.”
    As such, it is critical for organizations to not only access flexible workspaces, to allow innovation, manage over heads, access a global world but also the relevant services to become entrepreneurial, in the drive for VALUE, INFLUENCE and PROFITABILITY.
    In addition, it is critical that organizations – public, private and non-profit, and the people that exist within these organizations, have access to the entrepreneurial education, enterprise, media
    and finance services needed to achieve the VALUE, INFLUENCE and PROFITABILITY, to thrive in this ever-changing world.

    What are these services?

    Education must prepare intrapreneurs and entrepreneurs, being entrepreneurial education. Read our blog post on “the case for entrepreneurial education”, to achieve “VALUE” Enterprise services cover the following, to achieve “PROFITABILITY”:
    ● Administration
    ● Accounting and Audit
    ● Legal, Governance & Corporate Secretarial
    ● Data consulting; collection and research
    ● HR Recruitment, Talent and Incentive Management, Organizational Structuring and Performance Management
    ● Technology
    ● Business Development & Strategy

    Media Services cover the following, to achieve “INFLUENCE”:
    ▪ Branding
    ▪ Advertising and Marketing
    ▪ Public Relations & Communication
    ▪ Events Management
    ▪ Multi-media production to be syndicated through publications, in newspapers, on TV, on Radio, on social and other digital marketing sources and other platforms as relevant

    Finance Services cover the following, to achieve “PROFITABILTIY”:
    ▪ Advisory and structuring support
    o Early-stage advisory, project planning, pre-feasibility studies, procurement, development impact assessment, governance, structuring, securing financing for high priority select public sector led projects sector to achieve value, influence and profitability;
    o Business Development, structuring and start-up / early-stage and growth capital fundraising
    o Entrepreneurial Career advisory services to intrapreneurs to enhance access to competitive careers and placements with partner and other institutions;
    o Entrepreneurial Education and Business advisory services to entrepreneurs to enhance capabilities to drive long term sustainable and scalable enterprises.
    ▪ Investments and asset management
    o Leveraging on Tongston and third-party capital, deploying multiple instruments and;
    o Investing in learning and development opportunities for intrapreneurs to position them for competitive careers in industry with investments securitized against job placement proceeds and tertiary degrees and professional qualifications.
    ▪ Asset Management involving Origination of entrepreneurial investment opportunities;

    Structuring and execution (including performing due diligence, structuring and negotiating) and Investment and Portfolio management through continuous value creation and optimization once an investment is made; value creation & optimization; sell-down;
    restructuring.
    The Tongston Entrepreneurial Hub has been launched by Tongston Entrepreneurship Group to achieve just this!
    The Hub offers world-class award-winning services that make you or your business more valuable, influential and profitable, whichever industry you are in, wherever you are in the world. Tongston
    is a frequently profiled multi-award-winning global education, media, finance and enterprise/business brand.

    “More than a platform to meet, work, learn, network & access Tongston’s world-class entrepreneurial Education, Media, Finance, Legal, Technology, HR, Data, Research & Admin services”

    Services include virtual office, training/meeting rooms, programmers’ den and admin,
    entrepreneurial education, legal, HR, media, data & finance through the Tongston Entrepreneurial Dens. Services are available on-demand as a user or member.
    A. Tongston Entrepreneurial Workspaces
    – Training & Meeting Rooms
    Superior training and meeting rooms with professional Assistance.
    – Entrepreneurial Virtual Office Membership
    Choose your membership plan with virtual office, training/meeting rooms and admin, education, legal, HR, media, data, legal, technology – programming & finance services; Upgrade as your
    personal brand or business evolves!
    i. Your Own Virtual Office
    Access business address, telephone answering service and the hub green lounge. Valid for incorporation and tax registration.
    ii. Discounted access to any of the user services
    Access admin, legal, entrepreneurial education, HR, media, data & finance services for all your business needs.
    B. Tongston Entrepreneurial Education
    • Data Science
    • Introduction to Entrepreneurial Education
    • Career & Business Advisory Session
    • Finance & Fundraising for MSMEs
    • Programmers Den – Innovation workspace and programming languages for programmers.
    C. Tongston Entrepreneurial Multi-Media
    Multimedia production, branding, digital marketing, events management Services through the Media Den
    D. Tongston Entrepreneurial Finance, Admin, HR, Data, Legal Consulting Services
    Book now! Services are available on-demand as a user or member, including:
    ● Administrative Services through the Executive Admin Den
    ● Accounting and Audit Services through the Finance & Accounting Den
    ● Legal, Governance & Corporate Secretarial Services through the Legal, Governance & Corporate Sec. Den
    ● Data consulting; collection and research Services through the Research Den
    ● Recruitment, Talent and Incentive Management, Organizational Structuring and Performance Management services through the HR Den
    About the Tongston Entrepreneurship Group
    Tongston is a multi- award-winning leading pan-African group driving entrepreneurial thinking through education, enterprise, media, and finance for Africa’s sustainable socio-economic
    development, leveraging its four integrated subsidiaries: Tongston College, Tongston Institute, Tongston Ventures, and Tongston Media.
    Tongston is the convener of the Global Tongston Entrepreneurial Education that hosted 1000+ delegates from 54 countries globally, and 100+ speakers from 82+ global organizations including
    UN, USAID, IMF, KPMG, US Africa Trade Council, African Development Bank, Stanbic IBTC, World Bank, Microsoft amongst others.
    Tongston is one of the top 50 organizations that have shown excellence in education by the Global Forum for Education and Learning, outstanding leadership in education award from the
    Education 2.0, Nominee for the Meaningful Business Award, amongst several others. It is the first time a Nigerian organization is winning the GFEL award, and this is because of Tongston’s leadership in innovation in education in Africa.

    Frequently profiled across international and local media, Tongston delivers innovative proprietary products and services to public, non-profit and private sector professionals, students from upper primary to post-tertiary levels, entrepreneurs, educators, governments, private and non-profit institutions. This is through its world-class management and advisory board with experience across leading organizations including Lafarge Africa, Access Bank, British Council, Africa Finance Corporation, Globacom, Universiti Brunei, Central Bank of Nigeria, Nigeria Stock Exchange, Kaduna Business School, Nigeria Sovereign Investment Authority, Nigerian Tulip International Schools, Axa Mansard and Bureau of Public Enterprises.
    Tongston’s products and services range from entrepreneurial education for primary, secondary, tertiary, and post-tertiary levels through Tongston Institute and College; business development,
    advisory, capital and asset management through Tongston Ventures; access to multi-media services through Tongston Media; and technology, data, research, accounting, treasury, legal,
    governance, strategy, HR and administration services through the parent company, Tongston Holdings.

    Tongston is a member of the US Association of Small Business & Entrepreneurship, Association of Accredited Small Business Consultants, Global Partnership for Poverty and Entrepreneurship,
    Nigerian Institute of Training & Development, Nigerian Youth Chamber of Commerce, VC4A, International Council for Small Business and Africa Association of Entrepreneurs.

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