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GeoPoint – Location Intelligence | GeoMarketing | Route Optimization | GIS
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Integrations

 

Connect your data to our Location Intelligence and Routing solutions

Our products and solutions can be easily integrated into numerous application environments, thereby enabling web services to be implemented in Internet and Intranet architectures. It adapts to every kind of database and international grammar. An easy-to-integrate Rest API confers complete mastery of the optimization process.

Even though, we offer some connectors ready to work such as:

 

DATABASE CONNECTORS:

MySQL: Expand the geospatial capabilities of one of the most popular databases

Microsoft SQL Server: Enable the power of location on your Microsoft database instance

PostgreSQL: Externally connect to your PostgreSQL object-relational database

Amazon Redshift: Massive and advanced parallelized Location Intelligence in the cloud

Hive: Accelerate your distributed data infrastructure with Location Intelligence

 

 

CLOUD STORAGE

DropBox: The easy-to-use file sharing and storage service, directly integrable with CARTO

Google Drive: Connect and access spreadsheet from your Drive directly with CARTO

Box: Connect CARTO to the business-grade cloud file sharing service you love

 

 

 

THIRD PARTY TOOLS

ArcGIS: Connect to ArcGIS™ Server layers directly from CARTO

Qlik: Real-time connection with their business intelligence dashboards in the cloud

Splunk: Location intelligence on your machine-generated data management platform

Alteryx: Transform and analyze your data from Alteryx and geo-spatially accelerate it with CARTO

 

OTHERS

Twitter Maps: Map the pulse of the world directly through our Firehose advanced connection

Excel Data: Transform your spreadsheets data into location insights

Digital Globe Satellite Imagery: Freshly baked high-resolution satellite imagery, straight into CARTO

Bird.i: Bring your CARTO map to life with the most up-to-date satellite images

 

 

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Sales Teams

3 steps to monetize the sales team

Traditionally, the calculation of a customer’s sales potential is based on the average turnover with this customer (resulting from the analysis of historical sales) to which a percentage can be added according to the evolution of the market itself. However, this methodology causes a bias that we imprint on our own activity and that prevents us from accurately assessing the true potential of each client.

In order to gain a broader view of customers, a very methodical analysis of company data and third-party data is needed to enrich them.

Step 1: Have a clean and enriched database with all data of interest to our customers

Typically, the internal data sources that help us estimate how much we can achieve in sales on each customer come from the CRM itself and generally are:

  • Sales from previous years and accumulated to date (probably also by product lines).
  • Commercial activities carried out in each client:

– Number of visits per sales cycle/year

– Support Promotions/material to be delivered

– Specific training

– Trade Marketing activities

  • Customer characteristics:

– Customer Category

– Type of trade (eg pharmacy, para-pharmacy, perfumery, supermarket, hairdresser, HORECA, etc.)

As external data sources that provide great value for the knowledge of the customer portfolio, we can mention:

Socio-demographic database:

Socio-demographic databases that describe different aspects of people who live or move around the point of sale, such as:

  • Social class, socioeconomic status, housing prices, schooling, work activity, …
  • Grouped by age, sex, family type, …
  • Habits of purchase and consumption, etc.

Real estate data near your location:

  • Number of buildings
  • Height of buildings
  • Buildings antiquity
  • Area by type of property (commercial, leisure, residential, etc.)
  • State of conservation of real estate

Data that contains trade location information:

  • The proximity to health centers, hospitals, universities, etc.
  • Proximity to the coast or ski resorts
  • Situation in shopping centers, etc.

Finally, depending on the industry, it is possible to find databases sold by specialized companies that provide important information for each business, for example:

  • Business Databases
  • Sales by category
  • Number of Employees
  • Number of boxes
  • Trade Zone
  • Competitive data

With all these databases, the first problem to be solved will be to obtain the unique vision of each client or, in other words, to unite the information coming from the different sources.

In the case of sociodemographic databases these will be linked from the client’s location (geographical coordinates). This will require performing an earlier geocoding process from your address.

To get information from external databases you must join the customer information that we have internally. This can be done through key data such as NIF, which are not always available. When we do not have this data to make the union, it is necessary to resort to processes of data cleaning to try to cross by name, telephone, address, etc. as well as algorithms that find similarities between the fields of the different databases. Usually this union can not be done directly and has several iterations, and a manual treatment may be necessary.

We have at this stage a clean and enriched database with which to work.

OBJECTIVE 1 COMPLETED !

Step 2: Define optimal sales territories and a smart strategy.

Once the analysis of internal and external data has been completed, we obtain the following results:

1. Total potential sales of a product line or product. Statistical techniques are often used to calculate this. With these techniques we try to predict the current sales from the information collected in our dataset. This results in one or more formulas, where each variable has a weight. By applying the formula to each customer, we have a potential sales value in euros.

2. Segment customers. From potential sales, customers must be classified and associated with a category. There are two types of targeting: strategic and tactical.

Strategic Segmentation implies the allocation of a unique representative label to each generated customer group, and provides a descriptive overview of each of the segments. For example, Type A customers (those with a high potential for sales and near a hospital), type B customers (those who have an average sales potential and are located in urban areas), type C customers (those that have an average sales potential and are in rural areas), etc.

Tactical targeting is more focused on optimizing marketing campaigns. In summary there are five major types of campaigns:

Retention

– Customer recovery

– Cross selling or cross selling

– up-selling

– Capture of new customers: The type of campaign applicable to each segment of customers is conditioned by their situation in a value-fidelity matrix as shown in the following figure:

Having this information is necessary to translate it into an acceptable strategy for the sales team. We must consider the size of the sales team, the available working hours, the number of customers per segment, the estimated length of business visits, etc …

This will result in a distribution of such customers into geographically ideal sales territories, number of customers, turnover and sales potential.

Next, a visitor frequency by customer type is defined which must take into account all previous parameters (for example, type A clients will visit four times a month, type B twice and type C at least one). In a tuning phase of this optimization, these frequencies should also be weighted according to the workload of each territory.

This will define optimal sales territories and an intelligent strategy of visits to customers based on the capacity of the sales force.

We are now well acquainted with the customer base and sales potential

OBJECTIVE 1 COMPLETED !

Step 3: Put the business team more time with customers and less time on the road or lost in Excel files.

Lastly, it is necessary to allow the sales force to achieve the strategic objectives by offering tools to enable it to focus on what is essential: the sale.

Selling is a process where for many markets it is not possible to replace human interaction and it is precisely here that forces must focus, leaving the rest to what technology can replace and can do so much more effectively and efficiently than the human.

At this point, a route optimization / scheduling tool can be made available to the team. This solution should take into account the greatest possible reduction of expenses, predefined visiting frequencies per customer segment, as well as the unforeseen events of the commercial activity (trainings, courses, trips, meetings with clients or staff, cancellations, etc.). Some tools also allow the reporting of all the actions performed at each visit, the follow-up of product orders, GPS tracking, representation cost control, etc.

Each goal described may have a different meaning in its own right, but it is the sum of them all that will really make a difference to a before and after relationship with customers and sales growth.

In any case, it is necessary that the whole process of optimization involves a great internal transformation that is not free of difficulties. Therefore, the company must take this as a challenge and see innovation as a strategic axis to increase sales.

OBJECTIVE 3 COMPLETED !

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Healthcare & Pharma

Align sales territories, assess staff performance and gain insight on healthcare provision using spatial analytics to analyze, optimize and predict.

 

Territory Management

 

Optimize your field sales performance by designing and balancing your territories using your CRM data. Win bigger and better deals faster, boost sales rep productivity and reduce your field’s operational costs through location.

 

 

 

 

 

Healthcare Factor Analysis

 

Spatially analyze the social and environmental factors that affect health and apply those insights to proactively provide preventive services to underserved individuals.

 

 

 

 

Performance Management

 

Unlock insights on your organization’s performance across spatial dimensions. Whether it’s sales rep efficiency or point of sale productivity, Location Intelligence provides a unique opportunity to bring greater context to your existing performance management systems and define actionable insights which shift your teams into fifth gear.

 

 

 

 

 

Site Planning

 

For healthcare service providers to bring maximum value, Location Intelligence is crucial. CARTO allows you to bring context to mobility, socioeconomic and demographic data – unlocking insights which allow you to make the right decisions on opening, closing, repurposing or relocating sites.

 

 

 

 

 

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GeoMarketing

 
As a provider of an integrated and complete offer in the GIS and GeoBI areas, GeoPoint’s offer is not limited to consultancy and complete software implementation, but also to the development of customized, fully customized studies and services. GeoPoint combines your information with population, market and economic data, using digital maps to generate intelligence with significance.

GeoPoint Competencies

  • Best Location service for public facilities and businesses;
  • Study of Areas of Influence;
  • Optimization and Simulations of Stores Network ;
  • Market and Competition
  • Target Group study of consumers;
  • Planning and Optimizing Routes ;
  • Marketing and Spacial Advertising solutions

Quick access to studies and analysis without the need to invest in the purchase of a GeoMarketing system combined with our experience is how we ensure that our customers get the customized solutions they need.

Strategic and Operational Benefits

  • Transparency and Macro Vision: All relevant information in a “look”
  • Quality: Sophisticated and realistic
  • Understanding: Replicable results
  • Reliability: impartial and factual assessment;
  • Simulation: Impact of relocation, closure or opening of a location
  • Market Insight: Know the strengths and weaknesses of your competitors
  • Benchmarking: Assessment in relation to market practices
  • Cost Efficiency: Enormous cost savings and travel times
  • Standardized and Centralized:Comparable results in all countries or business areas
  • Risk Mitigation: Identification of acquisitions, franchisees and risky clients

 

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GeoPoint

Performing since the year 2000, GeoPoint has become one of the Portuguese references in Geographic Information Systems.

Its actuation area is mainly related with Geographic Information Systems (GIS), Data analysis, Data cleaning, validation and integration and GIS training and special training. It has a very strong background concerning GIS training activities in Portugal and Portuguese speaking countries and also consulting and management for public and private sectors. It has references regarding consulting studies and/or the implementation of complex spatial and data analysis/integration projects. Their references goes from the Portuguese government or several municipalities to multinational companies such as Continental, Cushman&Wakefield, McKinsey & Company, DBSchenker, IMS Health or even big Portuguese companies such as NOS (telecom), CIN, Novo Banco, Empifarma or Electricidade de Portugal (EDP). Abroad, the references are such as the Instituto Nacional de Estatística de São Tomé e Príncipe, some municipalities in Cape Verde and some companies across the globe where Geopoint provided Portuguese, African or European data and spatial data.

The company organized very successful conferences, such as GeoMarketing (2001 and 2008), Remote Sensing (2002, with the Lisbon Technical University) and the T-TIG and S-TTIG in 2006 and 2007, (Tourism & Geographic Information Technology and Health & Geographic Information Technology) in partnership with the e-GEO – Center for the Study of Geography and Regional Planning where many of the national GIS institutions participated, including the main SNIG (Portuguese SDI) stakeholders.

Geopoint collaborated in organizing the first post-graduate in Geographic Information Systems held in Portugal and have been involved with several other reference schools such as Universidade Lusófona, ESEC, ISLA, INP and Instituto Superior Técnico.

The company was the first GIS academy in Portugal and later the first authorized ESRI (Environmental Systems Research Institute, Inc.) Portugal learning center. Currently they represent the French GIS company – GeoConcept SA for Portugal and Portuguese speaking countries as well as CARTO.

Technology we care about:

PostgreSQL/PostGIS · CARTO · GeoConcept · QGIS · GDAL · GEOS · D3.js · Leaflet · Google Maps · WhirlyGlobe · Python · R · Node.js · Docker · AWS · Spark · SciPy · NumPy · Pandas · Theano · TensorFlow · GeoWave ·GeoMesa

 

Analytics

 

We help business capturing all the value from their and our data
and transform it into a sustainable competitive advantage

Analytics is the discovery, interpretation, and communication of meaningful patterns in data. Especially valuable in areas rich with recorded information, analytics relies on the simultaneous application of statistics, computer programming and operations research to quantify performance.

Organizations may apply analytics to business data to describe, predict, and improve business performance. Specifically, areas within analytics include predictive analytics, prescriptive analytics, enterprise decision management, descriptive analytics, cognitive analytics, Big Data Analytics, retail analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modelling, web analytics, call analytics, speech analytics, sales force sizing and optimization, price and promotion modelling, predictive science, credit risk analysis, and fraud analytics. Since analytics can require extensive computation (Big Data), the algorithms and software used for analytics harness the most current methods in computer science, statistics, and mathematics.

Descriptive & Diagnostic Analytics

Visualize and analyse your data for better understanding and decision making

Hindsight: “What happened?” Oversight: “What is happening?”

  • GIS
  • Databases
  • Dashboards
  • Business intelligence
  • Web data extraction
  • Data cleansing
  • Problem structuring
  • Data and model visualization
  • Descriptive statistical analysis
  • Data exploration and pattern detection

 

Predictive & Inquisitive Analytics

vizualize_carto_location_intelligence
Learning: “Why does it happen?” Foresight: “What will happen?”

Diagnose: ‘Why did something happened at a certain moment in the past ?”. Use a variety of statistical, modelling, data mining, and machine learning techniques to study recent and historical data in order to make predictions about the future.

  • Inferential statistical analysis (controlled experiments, non-parametric techniques)
  • Data mining & Machine learning (classification, regression, factor analysis, clustering, deep learning, reinforcement learning)
  • Forecasting and Prediction
  • Simulation, Risk, Uncertainty, and Scenario Planning

 

 

 

Prescriptive & Optimization Analytics

Insight: “How should it happen?”

  • Optimization & planning (heuristics, mathematical programming, constraint satisfaction, solvers)
  • Multicriteria evaluation
  • Portfolio optimization & resource allocation
  • Project planning and resource scheduling
  • Behavioral sciences & nudging
  • Negotiation, conflict, and game theory

 

 

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Location Intelligence Solutions

 

Turn Location Data into Business Outcomes

CARTO based solutions adapted to your business

 

 

For Business Analysts

Escape the GIS Handcuffsvizualize_carto_location_intelligence

Solve spatial challenges with third party location data streams, advanced spatial analysis, and interactive self‑service Location Intelligence applications. Put your location data to work to optimize business processes and predict future outcomes, leading to more efficient delivery routes, better behavioural marketing, strategic store placements and more.

 

 

 

 

 

For Data Scientists

Inject Location Intelligence into
your data science workflows

Interactively analyse and visualize location data directly in your Jupyter Notebook workflows. Enrich data from any source including Hadoop and AWS with third party location data streams and make accurate business predictions and spatial models from a single environment.

 

 

 

 

 

 

For Developers

The Modern Way to Build Location Intelligence Apps

Create powerful and flexible location solutions with fully customized look and feel. Skip the complicated GIS developer libraries and backend setup to focus on creating elegant and responsive business user experiences. Jumpstart location app development and deliver business outcomes exactly as required.

 

 

 

 

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Site Planning

Whether you’re opening, relocating, closing or repurposing a site, a bad location decision can cost you millions.

 

Monitor site performance across your network

  • Analyze key performance drivers with in-depth customer profiling
  • Fuse your online and offline sales data with third-party data to power your omnichannel strategy
  • Serve your customer through the right channel, in the right place at the right time.

 

 

 

 

Compare site performance

  • Perform simple and intuitive cannibalisation analysis at maximum granularity
  • Make decisions on where to consolidate in your network
  • Identify low-performing sites for potential closure or repurposing

 

 

 

 

Analyze competitor site locations

  • Map your competitors and their catchment areas
  • Visualize your catchment areas relative to competitors
  • Drive your expansion strategy considering competitor density in the area

 

 

 

Predict the success of future sites

  • Prioritize portfolio investment decisions
  • Use more location context in your roll-out strategy using Reveal’s Target Index functionality
  • Forecast sales and profits in new venues using Machine Learning

 

 

 

 

 

 

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Retail

Take on the growing threat of ecommerce with location data and leverage demographic and socioeconomic data to redefine customer engagement.
 

Site Planning

90% of retail transactions still take place offline. Whether it’s opening, closing, repurposing or relocation – let Location Intelligence power your gravity modelling. Create a profitable offline footprint which makes sense for your customers – using data to find the perfect balance between ecommerce and brick and mortar.

 

Indoor Mapping

Forget about expensive proprietary hardware and discover our rapid-deployment solution. Improve customer experience, boost operational efficiency and accelerate your revenues by answering those burning commercial and operational questions with actionable insights for your shopping mall.

 

 

 

 

 

Geomarketing

Analyze, understand and target your customers using demographic and socioeconomic spatial analytics. Make your campaigns more data-driven, accelerate your conversion rates through location and find new opportunities to boost revenues.

 

 

 

 

 

 

 

Supply Chain Network Design

Profits for your company can rocket if you achieve sufficient savings in your supply chain. Keeping costs down and reliability up by designing your network to minimize product handling with location data can trigger double-digit savings.

 

 

 

 

 

 

Territory Management

Optimize your field sales performance by designing and balancing your territories using your CRM data. Win bigger and better deals faster, boost sales rep productivity and reduce your field’s operational costs through location.

 

 

 

 

 

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Banking & Insurance

Whether it’s risk assessment or fraud detection, exploiting location data enables financial service organizations to make smarter decisions and predict the future.

 

Fraud Detection

Make location your secret weapon to protect, defend and respond.

Spatial analytics enables banks or insurance companies to spot anomalies fast – protecting your organization from the economic impact of fraudsters.

 

 

 

 

 


Risk Assessment

Measure and predict risk ahead of time.

Optimize your insurance underwriting, perform modelling around location and diversify your portfolio by analysing your capacity more efficiently.

 

 

 

 

Site Planning


Leverage the abundance of location data out there to build an ATM and branch footprint which makes sense for your customers. Whether it’s opening, closing, repurposing or relocation – let Location Intelligence power your decisions.

 

 

 

 

Geomarketing

Analyse, target and acquire new customers using demographic and socio-economic spatial analytics to boost your market share. Make your campaigns more data-driven, accelerate your conversion rates through location and find new opportunities to boost revenues.

 

 

 

 

 

 

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