Urban Planning. Coverage model for public centers

Big Data solution that predicts future demands of public services and prescribes the best locations for public centers and facilities: schools, primary healthcare centers, hospitals, city information offices, facilities, etc.

The Machine Learning Coverage model methodology:

  • Analyzing current centers and services.
  • Studying current service demand.
  • Forecasting future needs based on socio demographical evolution.

Designing the mathematical model which optimizes the location of new centers.

bigov Better City Indicators

Dashboard including 120 city indicators inspired by the City Protocol Society and the 37120:2014 ISO, in order to measure the city’s level of development and to show how attractive is to live or to develop a business in it.

This solution measures the city’s level of development and to show how attractive is to live or to develop a business in. It aims to help local governments to design better policies in order to improve the lives of their citizens and the business environment.

Bigov Better City Indicators
Early Warning Indicators BSC

Early Warning Indicators BSC

Key performance indicators measure strategic goals. This next generation dashboard alerts us if linked indicators are degrading and could affect the strategic kpis, predicting what’s to come.

Thanks to the analysis of the indicator relationships we are totally proactive. We can predict the future, risks that could be avoided/mitigated and opportunities that could be exploited. This dashboard provides timeliness of risk/opportunity focused warnings and measures.

Intelligent City Bot

Locate yourself lost in a City, and an intelligent robot guides you with locations and time tables of city services. Plus, the robot helps you with the paperwork and endless administrative tasks.

Based on Artificial Intelligence this machine becomes a City Assistant, that you can interact with by speech, text and image recognition. It’s a robot or it’s a digital interface like a call center, social media or the municipality website.

Thanks to Big Data, the Bismart City BOT provides information about city services, such as police stations, pharmacies, primary healthcare centers, emergency centers, train stations, administrative offices, urban issues, tax payment, parking ticket, census certificate, etc.

bigov city management dashboards

bigov City Management Dashboards

Scorecard for internal use by municipal officials for driving a more efficient government

It is our core solution, and we have different analytical modules to monitor and analyze the performance from different government agencies and departments: Case Management, Population, Economy & Finances, Customer service, Human Resources, Safety, Mobility and other else.

bigov Open Data

What if all the data that is in municipalities is turned into economic development?

bigov OpenData offers new business opportunities for companies in the city, making available open public data kept by public authorities and authorities.

bigov Transparency

Government Insight and Accountability. Clarity in government plan implementation, reusing information and becoming a more open and transparent government. bivov helps governments fight corruption by increasing Transparency. Thanks to this portal citizens know at all times exactly:

  • WHAT the City Council is doing with public money
  • HOW it manages the budget
  • WHICH companies it is contracting
  • HOW MUCH elected officials earn

Smart Destination

Can you imagine arriving at your holiday destination, receiving a smart route proposal, totally aligned with your passions, tastes, budget and available time?

Smart Destination analyze s big amounts of data generated around the cities to provide the best experience and enjoy the best vacation of your life. All of this in terms of entrance delays at monuments, scheduled events, gastronomic offers, hotel occupation, traffic status, weather conditions, comments in the social media, etc. in real time!

HAPPINESS RECOGNITION

Happiness recognition & Tourist recommendations

Tourist offer recommendations based on emotion, gender and age recognition

The Emotion Recognition software takes an image as an input, and returns the confidence across a set of emotions for each face in the image.

The Machine Learning algorithm will recommend the most suitable tourist offers according to the emotional state, in real time.

Big Data for Social Budget Planning

Smart Social Home Care for aging population and the vulnerable population. Big Data solution for healthcare & social services planning.

Data correlation of Social Services, Healthcare, Population, Economic activity, electricity and water supplies, waste management, and others, is the most revolutionary approach to solve the toughest problems our cities (and society) have to face: the aged, loneliness, social exclusion, mental health, social care and public health investment.

Smart Social home care for aging population
Crime Prediction

Crime Prediction

Advances in data analytics and machine learning now allow the data silos to be analyzed, helping departments pinpoint not only where crime is likely to occur, but when and under what circumstances. Where do people gather after sporting events? What happens when the weather turns warm? How do patterns change when school is out?

By leveraging computer models that take into consideration historical crime trends, demographics, climatology, geospatial information, and other data sets, law enforcement agencies can better plan where to deploy their resources.

Traffic fatalities prevention

The aim of the project is to provide a machine learning service that predicts: The traffic accidents amount, in each geographic point, for the next period of time.

Depending on the environmental conditions at the time the prediction is made. The solution prescribes actions to minimize the number and impact of such accidents minimizing the needed resources.

Traffic fatalities prevention
Tourism Intelligent System

Tourism Intelligent System

Big Data solution to improve the management and promotion of tourist destinations to be more competitive, through capturing and analyzing real time information related to tourist activity.

It correlates multiple sources of data coming from social media, booking portals, blogs, mobile operators and purchases made by credit cards. We disclose the level of satisfaction and opinion of visitors and residents, their time tables, where they come from, where they are going next, the real economic impact in the territory, where and what they spend their money on

Smart social home care for aging population

Smart Social Home Care for aging population and the vulnerable population. Big Data solution for healthcare & social services planning.

Data correlation of Social Services, Healthcare, Population, Economic activity, electricity and water supplies, waste management, and others, is the most revolutionary approach to solve the toughest problems our cities (and society) have to face: the aged, loneliness, social exclusion, mental health, social care and public health investment.

Smart Social home care for aging population
Population health management

Population health management

The emerging use of data involved with the environmental and social determinants of health.

It is a good framework to allow governments, clinicians, social workers or other professionals, involved directly or indirectly in health care, to help patients efficiently.

Social Media Analytics

Big Data allows you to discover market trends; to know citizens’ sentiments about your brand, your products or your services; to predict consumer behavior and to identify new business opportunities.

Capture real feedback from social media networks: Thematic detection and analysis. Sentiment analysis. Demographic and geographic analysis, Affinity Analysis

Social Media Analytics
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