Monthly Archives : June, 2016

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?