DareData Engineering

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DareData Engineering Alternatives

Chudovo OÜ
5.0
51-200
Castrop-Rauxel

Software Development
IT Staff Augmentation
Cloud Solutions
App Development
Your Data & AI Partner

Profile Overview

About DareData Engineering

DareData Engineering is a top-tier boutique specializing in providing exceptional data science and engineering services. Our mission is to help businesses of all types - from startups to blue-chips - transition to a data-driven culture and provide support to tackle their most complex data challenges. Our custom data and AI consultancy solutions, training, and data engineering are designed to help our clients achieve their business goals.

As a global service provider, we successfully execute projects across a wide range of industries and with clients from over 8 countries, including the USA, UK, Brazil, and the EU.

At DareData Engineering, we are focused on providing innovative solutions that enable our clients to leverage data for sound decision-making or performance augmentation.

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Locations


Lisbon

AV FONTES PEREIRA MELO , 31 5 C LISBOA
1050-117 LISBOA Lisbon (PT)
+351932174051

Services

5%
70%
25%

BI & Big Data Solutions

25%
25%
50%
  • EMC: 25%
  • Microsoft BI & Big Data: 25%
  • Other: 50%

Artificial Intelligence

25%
30%
20%
25%
Do you need any of these services?

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Portfolio

Key Clients

EDP OutSystems Roche CocaCola NOS Communications Accel Group Bain & Company Bial Heineken Central de Cervejas Altos Labs Tekever

Downloads

Projects

Sales Forecasts

Case Study by DareData Engineering

Sales Forecasts

E-Commerce

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Artificial Intelligence

Machine Learning, Pattern Analysis & Recognition, Pattern Prediction


Description

Our sales forecasting machine learning algorithms are currently being deployed in two markets of one of the major beverage companies in the world. We’ve done production-level forecasts, deployed using MLOps best practices, both for On-Trade (Restaurants, Cafes, etc.) and Off-Trade (Retail). We’ve achieved significant improvement in current MAPE (Mean Average Percentage Error), particularly in the On-Trade business.

Solution

We’ve tested both SARIMAX and Prophet models. The models are retrained to avoid overfitting and to capture significant changes in consumers demands. We’ve used sales, weather, soccer games, holidays and other factors to capture consumers demand.

Results

We have deployed models for more than 250 SKUs for both businesses. It’s impossible to tackle and manage these models without proper MLOps techniques and working CI/CD pipelines.

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Further case studies of the provider
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