Tag : analytics

2018: Data Analytics Trends

It is that time of the year when you take a look back and take an educated guess on what is going on to be in the very near future of data analytics. There is no doubt that in 2018 analytical industries will be not just hot but also rapidly changing. Here are the top trends that will prevail within the New Year.

Coca-Cola Case Study: How spatial analytics makes perfectly targeted product sampling campaign

We all love nice product samplings. This is the best way to meet a product, to experience it from first hand. There are no words or even a picture capable of depicting particular taste. That’s why product sampling campaigns are deeply loved by marketers of foods & beverages. Because they work as nothing else.

Since the A4E blog is dedicated to all thing data analytics, we are willing to share our own experience on how to enhance the performance of such sampling campaign. The Coca-Cola Company representatives approached us with a pretty interesting case regarding their new 0.75l product pack. It is aimed to households consisted of 2-3 members which had to receive the sample during dinner time, providing a meal pairing experience in the comfort of their own home. Nice and sweet, isn’t it?

Why AI can`t beat the fake news?

As data analytics company, at A4E we are more than familiar with the capabilities and potential of Artificial Intelligence widely known as AI, especially combined with some kind of automation. As society members, just like you, we also know that the fake news is not just pieces of information heavily disliked by politicians with disputable reputations. This is why we are curious whether AI is capable to help users and media businesses to distinguish the real news out of fake ones.

Efficiency boosting webinar for pastries, cake shops & bakeries

At A4E we are strong believers that data analytics is capable of bringing improved business efficiency in any industry or sector including the smallest one. That is why we created a webinar dedicated to pastries and bakeries in order to help them limit waste and boost sales at the same time. This way we shared useful insights on how to achieve meticulous planning balancing perfectly between supply, demand, production time and shelf life.

How data analytics might reduce food waste

Like it or not, we all are living in a world where many people are starving while in the same time a tremendous amount of food is wasted by consumers, retailers, manufacturers, etc. Food wastage is a problem not just because is a missed opportunity for people in need. It is an issue because wasted food is incinerated in combustion facilities or is stored in landfills. Once in landfills, the food breaks down to methane, which is a strong contributor to the greenhouse effect boosting hazardous climate change. Speaking of food waste we should know that throwing an apple means we are spilling about 100 liters of water, needed for its growth. The water footprint of a beef is more than 7 tons of water.

6 real-life use cases of restaurants data analytics

It is a common conception that data analytics is the next big thing for many of industries. Restaurants are no exception and this is visible. This blogpost is not aimed at pointing the benefits of restaurants sales forecasting, a tedious task we`ve already created a solution for. Nor to highlight what is restaurant data analytics all about. Our goal today is to share with you real-life use cases for data analytics. Restaurant owners & management teams – just take a look and pick some really nice restaurants data analytics ideas!