AZURE MACHINE LEARNING
An affordable Machine Learning workshop by SolidQ and Microsoft that adapts to your needs. Simply indicate the type of industry you work in and your forecasting needs and we will suggest solutions to transform your business.
5-DAY AZURE MACHINE LEARNING WORKSHOP
A 5 day lab workshop where we will be working with your real data together with your own team. This will be undertaken in 5 stages:
STAGE 1: identification and specification
We will identify your data sources (Excel, Access, SQL Server, ERPs, OData, etc.) in order to define the business issues to be predicted.
STAGE 2: Analysis and diagnosis
We shall analyse the variables and check the quality of all affected business data variables.
STAGE 3: Implementation
A first draft solution is implemented featuring a basic algorithm with no customisation.
STAGE 4: Result validation
Validation of results together with your team and analysis of the different resulting factors.
STAGE 5: In-house training
We will train your team to learn the solution’s basic principles, as well as the technologies used, how to interpret the data and how can the solution benefit your business.
“From the moment our solution was launched, we have made savings in our production processes since our ability to predict our sales volumes has prevented the accumulation of excess stock”Mario Real
“Our decision making has become more specific as we are now able to predict what will happen in terms of sales and to take advantage of our own data. After only 5 days, the workshop has helped us to see all the possibilities and the large amounts of hidden data we had, which can now be provided by our own system”Paloma Romero
“Our hospital has implemented a forecast analysis system in order to predict whether a patient is likely to suffer any specific disease over time”Carmen Gilabert
It can be applied to any industry, including but not limited to the examples below:
RETAIL / SUPERMARKETS
Sales forecasts, geolocalisation to open new branches, customer loyalty cards and lost trolleys
CAR WORKSHOP / DEALERSHIP
Stock maintenance, fault and product shelf life prediction
Service customisation, geolocalisation to open new branches, search engine optimisation and sales forecasts
HEALTH / INSURANCE
Risk forecasting and policy calculations. Prediction of patient’s future diseases and living standards
Financial data mining, geolocalisation to open new branches, fault and tax fraud detection
Customer renewals, forecast analysis, data profiling, market analysis, etc.
Basket Market Analysis
ANALYTICS AND DATA SCIENCE
Because of the massive data explosion in every industry, we turn to Machine Learning to help us ﬁll the gaps in what we can compute. With the Fractional Data Science oﬀering, SolidQ helps your team understand the standard process for Data Mining and the implementation of Machine Learning.
A typical Fractional Data Science engagement comprises the listed six points below. It starts with developing a business understanding and then asks what data corresponds to that understanding. SolidQ helps you prepare your data, model it, and then deploy using Machine Learning.
Data Preparation and Overview
Preparing and Evaluating Data Mining Models
Evaluating the Eﬃciency of the Models
Review of the data and models
SolidQ will review the data models with your team after deployment to encourage reﬁnement and learning.