Alessandro Rezzani
Data Mining Methodology
We adopt an Aglie methodology for the carrying out of data mining projects based on the CRISP-DM model. CRISP-DM, which stands for “Cross Industry Standard Process for Data Mining” is a proven method for the construction of a data mining model. The methodology’s assumption is the willingness to make the process of data mining reliable and usable by people with
Business Intelligence for Banking and Financial Sectors
Business Intelligence is fundamental for banking and financial sectors. The banking industry is becoming ever-more competitive, and subject to new regulations. Moreover, there are new and growing necessities from the clients’ side, which make Business Intelligence one of the principal means to optimize strategic activities, making them more effective. The use of Business Intelligence solutions permits banks not only to
72nd edition of Campus Party
Dataskills participates to the 72nd edition of Campus Party, a global event which connects thousands of young entrepreneurs, students, and investors in the field of technology.
Discovering Machine Learning: Predictive Analytics Tools in Action
On May 17th-18th 2018 we held at our HQs in Montebello della Battaglia a workshop on Machine Learning, with the aim of providing a comprehensive overview of the various Predictive Analytics techniques used to analyze Big Data. The classes spanned from more theoretical and formal explanations of the algorithms, to very hands-on, practical use cases.
WPC 2018
October 27-28-29 2018 NH Hotel Centro Congressi Assago Dataskills takes part to WPC 2018, the biggest conference on Microsoft Technologies on the national territory. Lucrezia Noli, Big Data Scientist at Dataskills, participated as a speaker with a section on Deep Learning techniques applied to Computer Vision.
The advantages of Business Intelligence
The main advantage of Business Intelligence resides in an improvement of business performance. The following table shows the benefits that come from a BI system, connecting them to their final goal
Purposes of Big Data analysis
Why do you need Big Data Analysis? Big data analysis has many purposes and goals, which can be summarized under three headings: Business: big data provide the ability to pursue new business models or to achieve a significant competitive advantage on the company’s traditional business. Technology: the size and complexity of the data require appropriate technology in order to derive value from
Big Data Features
Describing the 3Vs of Big Data Big data is available in large volumes, it has unstructured formats and heterogeneous features, and are often produced in extreme speed: factors that identify them are therefore primarily Volume, Variety, Velocity. Let’s analyze these three parameters better: Volume Equivalent to the quantity of big data, regardless of whether they have been generated by the users or they
SQL Saturday Parma 2016 – R & Azure ML
Azure ML, Microsoft’s machine learning service in the cloud, enables you to easily build, deploy and share advanced analytics solutions.
Business Intelligence Methodology
The methodology that we use in the implementation of Business Intelligence projects is based on an agile approach that can minimize the costs and “time to market”. The cornerstones of this methodology are: Agile Approach Just Enough Design Upfront, a slim preliminary planning which is able to achieve the project’s objectives. Just Enough Documentation, essential and effective documentation. Process automation. Where possible, portions
2016 Innovation Showcase
Con piacere abbiamo constatato che che Rulex Inc, con cui abbiamo una partneship, è stata annoverata dal MIT di Boston tra le 10 aziende più innovative e disruptive del mondo nel 2016! Ecco il link: http://www.prnewswire.com/news-releases/mit-sloan-cio-symposium-selects-finalists-for-2016-innovation-showcase-300254538.html Congratulazioni!
WPC2015
Ieri si è concluso il WPC2015, a cui ho partecipato con la sessione Practical Data mining with Azure ML & R In essa ho parlato di Azure ML, il servizio di Machine Learning che Microsoft e della sua integrazione don R, il linguaggio che si sta imponendo come riferimento per la statistica, l’analisi dei dati ed il machine learning. RIngrazio
Partnership with Rulex
From predictive analytics to prescriptive analytics
In the article “From business intelligence to predictive analytics systems” we talked of the evolution of the data analysis processes, describing an evolutionary path that led from performing simple queries on relational tables to business intelligence (BI) systems and from the latter to the use of predictive analytics. In this article we will instead discuss a further step towards innovative
Polybase in SQL Server 2016 CTP2
One of the new features in SQL Server 2016 is Polybase, the engine that provides access to Hadoop through T-SQL commands.
New modules in Azure Machine Learning
Some new modules have recently been introduced in Azure Machine Learning, thus extending its features.
Clustering Techniques
Clustering is a set of methods to group objects into homogeneous classes. A cluster is a set of objects that have similarities among them and that have dissimilarities with objects in other clusters.
