Data Cleaning

Avoid dangerous business decisions

The Data Cleaning solutions enable you to avoid making dangerous business decisions, based on low quality, incomplete and inaccurate data. Data cleaning ensures that business processes, strategic decisions, and marketing and business initiatives are backed up by relevant, timely and reliable data.

The SparkER web platform for Entity Resolution and the NORMS standardization tool help you maximize the quality and reliability of data, while increasing its completeness by enriching the information available to companies and institutions.

Who is it for?

PRODUCTION AND SERVICE COMPANIES OF ALL PRODUCTION SECTORS

Data cleaning solutions ensureManagersCommercial ManagersIT Managers, Security Officers and Logistics Managers of the Ceramics, Mechanical, Logistics, Biomedical and Pharmaceutical sectors, as well as Consulting, Facility Management and Global Services,  the following competitive advantages :
• Optimizing strategic decisions, control activities and production processes based on high quality data
• Implementing commercial and marketing initiatives based on complete, timely and reliable data
• Making future predictions based on reliable, relevant and high quality data
• Avoiding costs due to errors in production and logistics processes due to dirty, incomplete and low quality data

PUBLIC ADMINISTRATIONS AND INSTITUTIONS ON A LOCAL, NATIONAL AND INTERNATIONAL LEVEL

The solutions for Data Cleaning ensure Senior Administrative Officials and Managers of Public Administrations, such as Regions, Provinces, Municipalities, National and Local Agencies, Consortiums, the following advantages:

• Analyzing the performance of the different departments on the basis of complete, timely and reliable data
• Optimizing strategic decisions and control activities based on high quality data
• Making future predictions based on reliable, relevant and high quality data

 

 

 

 


Human Expert Knowledge

Supervised Machine Learning

Data Cleaning operations are carried out through a process of Supervised Machine Learning: this is a process of progressive learning consisting of Machine Learning algorithms that learn from data and exploit the knowledge provided by human experts (Human Expert Knowledge).

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SparkER

Entity Resolution Framework

The SparkER web platform is an efficient and scalable tool that allows you to achieve performances that are superior to the tools currently on the market. SparkER can be configured through similarity functions optimized for the specific use case.

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Record Matching

Data integration

The SparkER web platform enables the integration of data with different formats, distributed on different systems and updated with different timelines.

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RELATED CASES

Case studies

MUNICIPALITY OF CINISELLO BALSAMO


Helping to verify administrative anomalies and the usability of the services provided by integrating information systems

YOUTH POLICY – EMILIA ROMAGNA REGION


Youth Policy: analysing the state of younger generations in Emilia Romagna by integrating Open Data

SEMANTIC SEARCH ENGINE – ASTER


Energy Efficiency: a Semantic Search Engine for information on energy efficiency

Open Data Jobs


Open Data Lavoro: a web application for analysing and monitoring labour-related public data

Italian FSHD Registry – MIOGEN LAB


Italian FSHD Registry: a web platform for the integration and analysis of Big Data in clinical research

Fondazione Italiana Linfomi


Clinical Trials Monitoring Tool: web and mobile platform for a unified integration and analysis of clinical trials data

INJENIA


Facility Management Monitor: a Cloud platform for managing and monitoring Facility Management and integrated services

AZIENDA FARMACEUTICA


MCRee Turkey: a prediction tool based on statistical treatment of clinical Big Data

SYSTEM LOGIK


Shared Kontrol®: a web and mobile platform for improving decision-making processes and optimizing control activities

GAPE DUE


Smart Mould: an Industry 4.0 web platform for collecting, analysing and monitoring ceramic moulds

MDM GROUP


Cosmoline Monitor: an Industry 4.0 web platform for monitoring and preventive maintenance of cosmetic machines

WEFLEX


i-Tile Analytics: an Industry 4.0 web platform to optimize warehouse management and freight transfer flows

Azienda Ceramica


Business Analytics per generare valore dai Big Data: piattaforma web e mobile per l'ottimizzazione dei processi di vendita

Engineering Company


Smart Tool: Industry 4.0 web platform for remote monitoring of devices installed on mechanical production lines (Smart Tool)

Engineering Company


Energy Monitor / e-Maintenance: Industry 4.0 web platform for monitoring energy consumption and for preventive maintenance of production lines

RELATED TOOLS

SPARKER

Data Cleaning Web platform enabling you to solve the main problems in the integration of Big Data such as deduplication, record linkage, reference matching, disambiguation

NORMS

Data Cleaning tool capable of interpreting abbreviations, compound names and acronyms using semantics to suggest the user a result more similar to the context of the analyzed data

MOMIS

MOMIS ensures a clear and instant view of company data through the virtual integration of company information systems with external data sources such as Market Analysis, Social Networks, Open Data and geographical data