Resources

Consumer Insights Revolution

4 tips to improve your consumer insights strategy using AI

Consumer insights are vital for the growth of your business and will remove the guesswork when it comes to satisfying your consumers. In the end, you save time, money and effort and your customers will feel like they’re listened to, valued, and consequently, keep coming back for more or even better, introduce their friends to…

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"Consumer Sentiment Insights" Towards Halloween Products 2019

Trick-or-Treat? Consumer sentiment towards Halloween products from big brands: McDonald’s, Burger King, Oreo, Jaffa Cakes.

Happy Halloween! Every year, big brands roll out seasonal special products. It’s an opportunity to build fun social media, TV commercials and in-store campaigns around them. Spooky shapes and flavours colour the isles of supermarkets and menus of fast-food chains.  Rivals like McDonald’s and Burger King take this occasion to create playful campaigns against each…

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decision making for AI projects

Decision Making for AI projects: Potential vs Feasibility Matrix

In one of our previous articles Launching an AI project: first steps checklist, we explained the importance of planning in AI projects, mentioning the potential vs feasibility 2×2 matrix. Used mainly by business consultants, this matrix is an effective way of presenting and interpreting information regarding the value of a new project or idea. In…

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gathering competitive intelligence

Business Intelligence: Gathering Competitive Intelligence

“You can’t always be the strongest or most talented or most gifted person in the room, but you can be the most competitive” Pat Summitt, Olympics Silver Medal Sports teach us competitiveness and we trust our coach and mentors to give us all the information and training possible to achieve our goals and beat the…

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web surveillance for SME

Democratising Big Brother: Web surveillance for the SME

Gil Scott-Heron once stated that the “next revolution will not be televised”, he was correct. The next revolution is not being televised, it is being tweeted about on social media.  Social media is the causal agent that has created a new attitude in sharing information to anyone and everyone. The default was that humans on…

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Using data ethics for competitive edge

Making Data Ethics Your Competitive Edge

The hottest job in data science could soon be a philosopher who guides data science practitioners in the murky field of data ethics.  Simply put, data ethics is a sub-field of ethics which defines a set of rules that state what is moral behaviour. Moral behaviour in data science is not simply an academic exercise…

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are you ready for AI?

Are you ready for AI? Launching an AI project: first steps checklist

In over 2,000 enterprises surveyed, 47% of these have already launched or are already using AI in their organisations. A lot of businesses are on the way to becoming empowered by AI, however, there are still a lot of businesses out there that struggle to understand AI, its value and what it takes to build.…

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How to manage your AI projects

How to manage your AI projects: From Proof of Value to Production

“Every company is a technology company.” Gartner This quote from Gartner represents businesses increasingly adopting sophisticated technologies to achieve their goals. Artificial Intelligence is one of the most important business opportunities in 2019. Knowing what it takes to apply these new technologies to work at scale and give a greater competitive edge, is the real…

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Starting an AI project

2 things to consider before starting an AI project

Clients often contact us with questions and are curious to know about what AI can do in their organisations. However, they are often caught by headlines about AI changing this or that industry, hung up on the idea that AI will solve all their problems. Therefore, they jump on starting an AI project right away.…

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how to tun a data science team

How to run a Data Science Team: TDSP and CRISP Methodologies

In this blog, we are introducing two well-known Data Science methodologies for project management, namely, CRISP-DM (Cross-Industry Standard Process for Data Mining) and Microsoft TDSP (Team Data Science Process). Here at Deeper Insights™, we adopted TDSP as a guiding Data Science methodology to help us build great products for our clients as it places more…

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