The Power of Data
Today, your company generates a large amount of data that, if treated in the right way, can bring a lot of value to your marketing and sales strategies. Customer retention, the promotion of more personalized sales, and the reduction of acquisition costs are some examples of the benefits. Thanks to the expertise of our team of Data Scientists and Marketing Strategists, we can leverage all this data to generate high-level business intelligence.
We identify and define your customer profiles based on similar characteristics.
Know the probability that a customer will end their relationship with your company.
Determine the expected future value of each customer based on their behavioral profile.
Predict how changes in the price of a product will affect its demand and profitability.
We evaluate the real impact of different channels in your marketing mix on sales.
We create accurate models of your sales to forecast future situations of your business.
We unify all your data with business intelligence tools so you can make decisions.
We group leads according to the probability of them becoming customers.
We analyze and model the risk of cost overruns or unexpected behavior.
We invite you to meet with us to see where your company stands in terms of data collection, and to explore in detail the available infrastructure.
We create a report detailing the potential of your current data and, if necessary, what steps you should take in your data collection strategy to generate key business indicators and achieve your goals.
We create a specific Data Science, Machine Learning or Business Intelligence project with long term benefits. Our methodology is based on agile project management principles.
We conduct regular meetings with our data scientists to ensure a deep understanding of the business and the delivery of useful, valuable solutions.
Our business transformation service offers a complete path to becoming a data-driven enterprise. The process includes three key phases:
Creation of a data warehouse or data lake and processing (ETL) infrastructure to ensure a reliable and consistent source of data.
Implementation of business intelligence and data visualization to help you understand key business metrics and trends.
Application of data science to address specific challenges and improve decision making.