Communicating technical data to non-data professionals, including business decision-makers, very often can be a nightmare for all involved. While data professionals tend to focus on the technical complexity and/or robustness of their analyses, non-data professionals might have difficulties contextualising these insights due to their technical nature. As a result, these insights tend to create more confusion and chaos as opposed to the intended clarity around the recommended next steps.
Data is only useful when it is accurately conveyed and understood by all parties. Thus, bridging this communication gap between data professionals and business professionals is vital to improve business outcomes. With data providing an abundance of insight, it is imperative that data professionals learn to contextualise the technical results for different business teams so they are able to drive better decisions.
Whether you’re an executive making a pitch to prospective clients or a data analyst who deals with transforming data, this workshop is the one for you.
In this workshop, we will introduce and orientate participants to a data storytelling powerpoint template that can be used to convince different groups of decision makers. We will also share tips and hacks for customising the template to specific industries and settings among other use cases/ scenarios.
Learn effective strategies for presenting data insights and how to set yourself up for success to persuade anyone
Learn how storytelling can be applied to data
Learn top tips on creating a data presentation targeted at non-technical audiences
Demo and hands-on exercise for your first data storytelling deck template
Kishan is a seasoned data and marketing professional with a proven track record across all key areas of digital including Data Mining, Data Science, Data Visualisation, Data-Driven Transformation, Sentiment Analysis, Data Storytelling, Web Analytics, Social Analytics, App Analytics, Advanced Analytics, Omni-channel Tracking, Paid Social, SEO, SEM, CRM, E-Commerce, and Digital Strategy
He has worked for 4 of the world's leading digital technology agencies: Amobee, Golin, Datalicious, and Socialbakers. Throughout his career, he has managed hundreds of digital campaigns and built several digital teams from ground-up, working with a diverse portfolio of local and global companies – including some of the world’s biggest brands: McDonalds, Sony, Prudential, Volkswagen, and Cartier.
Kishan also has extensive hands-on experience in Data Science where he has worked with E-Commerce and FMCG clients to build Machine Learning models to enhance the performance of product recommendation engines and drive profitability of product bundles among other areas.
He has also previously worked as a data scientist, automating data extraction from Weibo and Taobao to measure the impact of online retailers' social media marketing strategies on consumer engagement and sales performance using quantitative methods including random-effects panel regression.
Throughout the past decade, Kishan has also worked on other interesting Data Science projects including a predictive modelling app which allows users to find the number of parking lots at their destination for a given location and time slot. He also built an innovative sentiment analysis model for a software company to evaluate their customer satisfaction rate using data extracted and automated from customer support tickets.
Kishan's experience has also centred around managing business growth and day-day operations for data-driven marketing start-ups in Asia. Having built and led several high-performance digital teams and programs in the past decade, Kishan combines management experience with deep subject matter expertise across business analytics, data science and digital marketing. He is also highly skilled in leveraging MarTech to grow digital revenue and reduce customer churn for leading brands in Asia including Singtel and Globe Telecom.
We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.
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