Category : Small & Medium Business

Small & Medium Business

Data analytics applications focused on the needs of small & medium enterprises. How they can benefit from demand prediction, sales forecasting and data projections.

How menu engineering can be the ultimate restaurant profit-boosting tool

It started in the 70`s when Bruce D. Henderson created the growth-share matrix for the Boston Consulting Group. Its aim was to help businesses to analyze a particular product performance within the entire product line. It is simple yet effective approach if correctly applied.

Restaurant owners and managers can benefit too. The growth-share matrix, also known as the Boston Matrix has its restaurants’ custom-made version, called menu engineering. It is a data-driven approach to boosting a restaurant` profit. In this blog post, we are going to share with you how to do it easy and effective as possible.

How Boston Matrix Can Boost (Almost) Any Business

Boston Matrix is a simple analytics diagram displaying business data in a convenient manner to deliver insights to managers on the performance of a product in terms of profitability and sales volumes. This data visualization approach, also known as growth-share matrix or portfolio diagram can be applied not just in terms of product performance but also in terms of ranking almost everything, including customers, revenue sources, marketing activities, etc. It is suitable even for NGOs willing to be more efficient in fundraising.

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!

What is restaurant data analytics all about?

Predictive and big data analytics are extremely hot these days, since the belief that the data is the new oil is taking over business managers from all sectors and industries. Data analytics for restaurants is also available even though the revenue of a particular restaurant location is not that big. But there are opportunities which make the difference between good and best.