Bindu Channaveerappa
Bindu Channaveerappa is a business analysis consultant who is passionate about all things business analysis. Recognising the imperative need for cyber security analysis, Bindu passionately advocates for integrating cyber security into mainstream business analysis practices and has made significant contributions to the field, co-authoring the Cybersecurity Certification (CCA) curriculum for the International Institute of Business Analysis (IIBA) and shaping exam questions for the CCA and Certified Business Analysis Professional (CBAP) certification, contributed to the development of IIBA standards and IIBA digital assets. She has authored the book “Cyber Security and Business Analysis: An Essential Guide to Secure and Robust Systems” with BCS Publications, releasing June 2024.
Bindu shares insights on business analysis and cyber security at international conferences and online platforms.
Along with her professional endeavours, Bindu serves as the IIBA Regional Director for Europe, the Middle East, and Africa (EMEA) and has served the IIBA UK chapter as one of the Directors. In addition, Bindu dedicates time to the Brahma Kumaris World Spiritual University, advocating for a spiritual lifestyle that fosters holistic human well-being on an international scale.
Presentation: Data Security: What every Professional needs to know
What do Machine Learning (ML), chatbots, Artificial Intelligence (AI), and deep insights have in common? Data, and lots of it. But having lots of data isn’t sufficient, and the data must be mastered, cleaned, curated, secured, and made available. Regulators are increasing their demands on companies to ensure the ethical use of data, especially customer and client data, and determining all the compulsory requirements is becoming an increasingly complex set of tasks that requires analysis. Business analysts can play a significant role in supporting data analytics projects and programs by applying the tools and techniques of our trade tailored to the new digital landscape surrounding big data.
