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.
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.
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.
On May 18th, 2017 we are going to make quite useful webinar targeted to bakery, pastry & cake shop business owners. Its focus is on different factors affecting sales, profitability and the tiny balance between demand and supply. We all know this is crucial if you want to provide your customers with fresh production.
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!
Believe it or not, big data is the new gold. Poured into the fuel tank of the automotive industry, it is transforming itself into growth booster, creating new services and users` benefits. The core focus of big data and cars is not just autonomous vehicles, it is about humans and how they use their cars on an amazingly granular level.
Up to date, we`ve discussed broadly what are the benefits of data analytics applied to a small, family-run businesses like coffee shops, restaurants, cake shops, etc. In this particular blog post, we are going to cover the areas where data analytics mathematical modeling can be applied if you are the owner or manager of a coffee shop. Stay with us, this is going to be useful.
We`ve already discussed how data analytics & sales forecasting might help restaurant managers to improve their business performance so we are moving in a specific case like cake & pastry shops. Their case is pretty specific, hence interesting.
If someone has told you that data analytics is something relatively new in Human Relations, do not believe them. The truth is that a big part of the HR work is to plan. You cannot have proper planning without accurate forecasting, something we have already discussed at this analytics blog. Well, it turns out that HR people and their industry as a whole are still far of maturity in terms of utilizing its data (trust us, they have a lot) into predictive analytics. Recent Deloitte survey of business and HR leaders shows that companies exploiting HR analytics are extremely small fraction of the market – 4% in 2015 vs 8% in 2016. The study highlights that this number is going to increase due to a shift of HR professionals expectations.
Wholesale distribution business is generating a great amount of data which is including at least thousands of products, quantities, pricing, customers, and inventory, just name it. This simple fact makes them really suitable for data analytics modeling in order to solve specific business problems or to gain efficiency within already existing processes. In this blog post, we are highlighting just 5 of the potential benefits that a wholesale business is capable of extracting from modern days data analytics.