About Us

The Institute of Business Analytics of Nigeria (IBAN) is a professional body established to support and promote the discipline of business analytics; by providing avenue for interested professionals to learn and relearn current generally accepted analytics practices. IBAN will instill in members, capability to collect, organize, integrate and analyse large volume of structured and unstructured data with a view to identifying game-changing insights and strategies for solving organizational problems.

By using:

• up-to-the-minute data management technology (Hadoop, Microsoft SQL, MongoDB, Neo4, SAP HANA, etc);

• ultramodern data visualization tools (Microsoft PowerBI, QlikView, Tableau, TIBCO Spotfire, etc);

• state-of-the-art analytical approaches (A/B testing, data discovery, descriptive analytics, optimization, predictive analytics, prescriptive analytics, etc); 

• contemporary analytical techniques (cluster, comparative, decision tree, factor, machine learning, multivariate, regression, segmentation, sentiment, simulation, time series, etc); and

• red-hot analytics technology (MATLAB, Python, CSVKit, R, NodeXL, River Logic, SAS, Simul8, SPSS, STATA, Data Wrangler etc).

1. IBAN members will develop capabilities in all aspects of business analytics, which are relevant for enhancing performance in corporate and government establishments.

2. These include, but not limited to: data journalism, behavioral analytics, cohort analytics, collections analytics, visual analytics, cyber analytics, financial analytics, fraud analytics, health care analytics, marketing analytics, pricing analytics, retail sales analytics, risk and credit analytics, supply chain analytics, talent analytics, transportation analytics, operations analytics, and so on.

3. IBAN will continue to make effort to regulate and enhance ethical standard and technical competence of members in the best interest of the society.

Who Should Join Now

1. Those with quantitative aptitude (mathematics, statistics, computer science, economics, engineering, physics, etc) and wish to turn their capability to relevant skills.

2. Those that have worked in analytics related roles (business intelligence, data, analytics, data and research analyst, data management, data platforms, data insight, data warehouse, data governance, data quality, data entry, data reporting, data science, etc) and which to become member of a professional community.

3. Those that have done analytic related training from various international universities and online platforms like Datacamp, WorldQuant University, dbrownconsulting, Oracle (Data Mining), AWS, Coursera, EDX, Udacity, LinkedIn, IBM, IIBA, Udemy, Data Science Nigeria, simplilearn, OneCampus, Google, Codementor, Topcoder, Analytics Vidhya, KDnuggets, R-bloggers, Flowingdata, Kaggle, freecodecamp, and many others.

4. Those that have knowledge of Python, SQL, R, Jupyter notebook, R studio, Power BI, Tableau, econometrics and statistical software,  MATLAB, Data modeling, visualization, machine learning and so on.

5. Those that are aware of the future of work and potential of analytics skills and wish to join a professional body that can guide them from zero to hero.

6. Those that would like to be part of the early members of a promising professional body with the potential of taking active roles (council members, committee members, elective offices, tuition centre managers, etc.) within short period, without the rigor of writing stages of examinations.

Why I Should Join Now

Most renowned global institutions have included analytics in their portfolio. A mere Google search on the global needs for analytics skills would reveal a lot of information. For examples,

According to WorldQuant University

Every major industry is growing its soft-quant and hard-quant workforce. With every passing year, more employers want job applicants with data analytics skills. We can’t educate qualified people fast enough. (https://www.wqu.edu/about/ )

According to Harvard Business School

Through great strides in technology and an increase in available data, harnessing the power of analytics in business is easier than ever. And as more companies look to data for solutions, business analytics professionals fill the growing need for data expertise. But there are particular hard and soft skills you need to have a successful analytics career and thrive in the world of big data (Harvard Business Analytics Program (HBAP), https://analytics.hbs.edu/admissions/top-business-analytics-skills/  )

According to Wake Forest University, School of Business,

As Big Data continues to grow, so does the demand for business analytics professionals. … The long-used database management and analysis techniques no longer suffice, particularly where unstructured data like product reviews and social media posts is concerned. … Business analytics is the process of transforming data into insights to improve business decisions. Data management, data visualization, predictive modeling, data mining, forecasting simulation, and optimization are some of the tools used to create insights from data. …. 64.8% of Fortune 1000 companies surveyed have invested at least $50 million into their business analytics efforts. … However, there is a shortage of well-trained business analytics professionals. (https://business.wfu.edu/masters-in-business-analytics/articles/what-is-analytics/)

Another hint on the value of a skill is to check the cost of acquiring it. Acquiring business analytics certificate is not cheap. For example: Master of Science in Business Analytics cost $54,272 at University of Illinois, $78,484 at Lehigh University and $83,000 at NYU Stern. Most of these universities added analytics to their portfolio recently in order to remain relevant.

Finally, I would avoid the risk of sitting for series of IBAN examinations later by missing the direct membership opportunity.

“There is nothing in a caterpillar that tells you it’s going to be a butterfly.”

Buckminster Fuller