chibwepdfpreso
TRANSCRIPT
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www.chibwe.com
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15 + years
• Experience in market research data analysis.
• Experience working with text – analysis
machine learning.
• Social media marketing, monitoring, and analysis.
• Self-taught web developer.
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Small Businesses can’t take advantage of big data.
• No tools to combine data
• Text analytics tools are too expensive.
• Systems to combine and analyse data are
either too expensive or too technical for SMEs
or small agencies.
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Chibwe is building Osmium to tackle these issues
• Allow users to collect sentiment on social media
and compare it with internal reference data to
understand the past and predict the future.
• Easy to combine data from different sources and in
different formats.
• Easy to use text analytics and machine learning.
• A non-technical solution designed and built with
the SME business owner in mind.
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We are part of the way there
• Data dictionary
• Cross tabs
• Cluster analysis of text
• Sentiment analysis
• Classification
• Text Analysis – part of speech tagging.
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Not just another social media
monitoring platform
- will provide basic monitoring functions; it also provides
more analysis options than other platforms.
- will provide data-driven prediction of future business
conditions.
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Small / medium sized
businesses
Small research
agencies
Digital marketing
agencies
= Small businesses that cannot afford the
enterprise-scale Business Intelligence offerings from eg IBM
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Social media trainers. Digital – social media
messages, advertising.
Trade shows and
networking
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• Transforming and combining data.
• Wide range of analyses.
• My experience in MR and social media –
knowledge of what works.
• Case studies – working with a coffee chain
and a games studio to get the product right.
• Launch late summer / autumn 2014.
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• Regression – what will happen?
• ANOVA – what is the most
important driver for your KPIs?
• Influencers / key bloggers.
Integrations Analyses
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