Analytics is the recipe, not cuisine !

Listen to the podcast here :

https://anchor.fm/thuntuned/episodes/Analytics-is-the-recipe---not-cuisine-em3q8d

For analytics professionals, there has been a pursuit for getting more and more included in the consumption of analytics and not only creation. The value addition and impact derivation from all the analytics and data science efforts depends on the acceptance and appreciation of the process by the stakeholders, not only results. The impact of analytics is a long term cultural evolution than making short term decisions only.

The reason creators and consumers have been debating the value of analytics and roadblocks in the maturity roadmap is because of the fact that the consumers of analytics expect data science to be full course meal or a gourmet cuisine. Analytic is not for one time satiation, it is to be savoured right from the time it starts cooking

• Make them learn the recipe , before they enjoy the meal

Customer education is the most important part of analytics adoption in an organization. I have worked with many clients who love when they do some hands-on. Analytics is not about providing black box solutions. Make it transparent, have as many conversations as you can, right from the start of understanding the problem.

• Ingredients are important , so is the cooking process

Learn, account for and explain the ingredients, and also the cooking process; which tools are you using , what hypotheses you are testing , which parts take how much time and iterations. How many other questions you are answering while answering one big question and what cannot be answered. This leads to a discovery based creation and consumption of analytics

• Learn how to master the art of dressing, data science is aesthetic

Presentation is something you cannot ignore. Simple and intuitive. Think creative. Complex models need to be dressed with self-explanatory attires. Visualization is important. Analytics is as much as Power point as it is Python

• Leave room for Salt and pepper

Leave some open ended questions. Do not close everything, keep your analysis and the results open enough to hit the curiosity button of the stakeholders. It is good to have ‘Not so complete’ analysis and let people walk out of the room with some take-aways and think-aways