A4Everyone Blog

Analyze this: 5 bizarre correlations

Big part of the data analytics scientists is to find data correlations. By establishing links between events you can be aware of their triggers in order to get access to better decision making.

Yes, correlations are the key concept in the data analytics but we know correlation doesn’t imply causation. Having this in mind, the Purdue University in Indianapolis held “Spurious Correlations” contest among students and scientists from all over the world. The entries were extremely bizarre and funny like the correlation between ministers` salaries and the price of vodka or the amount of ice-cream sold and deaths by drownings. The winner of that very contest discovered the correlation between the number of storks sighted and the population of Oldenburg Germany. Funny enough, Ron Malzer – the author of the winning entry somehow managed to explain his correlation with the highest rate of adults reading Immanuel Kant in Oldenburg.

Why data analytics is crucial for fashion & apparel manufacturers and retailers

Regardless of its size, any fashion or apparel manufacturer is confronted with challenges related to predicting the future.

Unlike the big brands that manage to create and impose trends, smaller players try to foresee what will be the forthcoming changes in consumer tastes. Trends might arise even from occasional events, take for instance Converse sneakers which became a big hit after rock bands like The Ramones wore them onstage on their gigs at the late 70s and early 80s.

Apparel manufacturers often can do nothing but to follow and adapt according to trends. Discussing fashion and apparel, such shifts affects everything – size, color, shape, fabric, price, etc. are a piece of the equation for success or fail.

5 benefits of predictive analytics in e-commerce

Visits, visitors, events, conversions, orders, time on site, page views, subscribers, average order value, etc. are just a fraction of the e-commerce KPIs and metrics that every online retailer should keep an eye on. All these pieces of data are just the perfect fit for predictive analytics and sales forecasting.

Its huge amount of data which might be modeled in order to project future demand and overall e-commerce performance. This is leading to crucial benefits pushing online retailers further in terms of effectiveness, profitability, and performance.

Turning data into art

Yes, those pixels, numbers and data strings might be a genuine and impactful form of art. Since we are deep into data science in order to empower SMEs and boosting their profitability with data analytics and sales forecasting tools, we want to share some interesting perspectives on data art.

Why sales forecasting and demand projection is crucial for (even more) successful retail business

Running retail business of any kind might be extremely tricky process full of unknown variables. Full scale analytics service provider is able to offer you a lot. But in depth analytics projects demand lot of recourses, hence money. Big retail businesses already benefit from analytics services because of their large scaling and that’s how they improve their profitability even more. This is raising following question:

Are small retailers able to benefit from data analytics?

Data analytics and sports. You didn’t suppose how much they have in common

Beyond the basics, modern sports has nothing in common with what it was, let’s say 50 years ago. One of the many, many reasons for this is the data analytics and forecasting.

We are living in a world full of data and everyone can benefit of it with proper analytics modelling. Speaking of sports it helps decision making in player selection, customer/fan relationships, business management, game and players performance and even injury prevention.

11 ways to increase your coffee shop profits

The coffee shop industry is making billions dollars a year. Even though opening your own coffee shop looks like a piece of pie and definitely profitable enterprise, it is not exactly like this.
The value of a cup of coffee is around $0.50 and the retail price is between $2 and 3, depending on the market. It sounds like profitable margin. But you have to keep in mind that operational costs for a coffee shop are quite high. On top of this you have to add the fierce competition by well-established chain of coffee shops with strong marketing and huge advertising budgets.

Hello world! We are Analytics for Everyone

A4Everyone stands for analytics is for everyone. It is what we believe in our team and our mission is to bring the benefits of data science to small and medium sized businesses.

Everyone might get leverage from accurate sales predictions. Because it is giving the ability to know what, when and how many to fill your storehouse with. And it is not only this. Business optimization of any kind become possible if it`s based on knowledge extracted from historical data of this very business.