Pyramid - The largest source of datasets in Spain for Big Data projects

Pyramid

The largest source of datasets in Spain for Big Data projects

What Pyramid is, the most complete source of external data on the market in Spain

logo pyramid

With Pyramid you will have a single source of data that cuts across all business areas, with data already normalized, standardized and easily integrated with your data environment. The data corresponds to 4 areas: Companies, consumers, digital data and geographic data.

This will allow you to acquire new valuable data and qualify the data you already have in your information systems, resulting in greater cost efficiency and achievement of objectives.

What are the datasets included in Pyramid. Some examples:

We collect data from public organizations, standardize it and make it available with Big Data technology for a better integration into projects and data infrastructure. We offer data such as:

  • Sociodemographic Data
  • Family Expense by Categories
  • Default Risk
  • Environmental risks
  • Gravitational study
  • AGT

Most complete data set of the spanish market’s businesses and companies Enrich business information as it has previously been validated.

  • Trade
  • Directory
  • Employees Positions
  • Self-employed
  • Points of Interest
  • Store Refer. File
  • Digital Maturity
  • E-commerce
  • Active businesses
  • Activities/Industries (more granularity and precision than standard CNAE)
  • Sales forecast
  • Advanced customer segmentation

Buildings and properties in Spain with their characteristics and custom-modeled data that you will not find in any other source of information.

  • Replacement value (€/m2)
  • Energy efficiency certification
  • Elevators
  • Garden areas or outdoor common areas
  • Height location (low, below ground, intermediate, top floor)
  • Pools
  • Number of storage rooms
  • Value zone
  • Corrected constructed area
  • Bedrooms/Bathrooms
  • Location quality
  • Heating
  • Air-conditioning
  • Corrected plot area
  • Environmental risks

Data downloaded from Spanish websites. We obtain the characteristics of any customized website for competitive intelligence projects.

  • Domain (URL)
  • HTML
    • Title
    • Keywords
    • Description
    • Text
    • Tokens
    • Alexa
  • Digital profiles
  • Ecommerce
  • Economic, competitive, technological, legal intelligence

All standardized and ready-to-use cadastral data in Spain, including cadastral data from the Basque Country and Navarra.

  • Spanish Regions
  • Zip Codes
  • Census Section
  • Axes
  • Cadastre
    • Plots
    • Construction Units
  • Industrial Areas
  • Business Parks
  • Areas of interest

Datasets of the Spanish street map that contains information on roads and numbering, among others. Ideal for projects that require high precision such as in the parcel delivery and ecommerce sector.

  • Street Nomenclator
  • Portalero (X,Y)
  • Portalero estadístico
  • Cadastre
    • Plots
    • Construction Units
    • Properties

How Pyramid external data is integrated

Our data platform built on Big Data technology allows information to be served through API (Amazon S3, Microsoft Azure or Google Cloud among others) and connectors for CRM such as Salesforce. There is also the possibility of serving the information in batch or real time mode.

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Advantages of our data source for big data projects

patas de negocio de Pyramid
  • Reputed data: Validity, accuracy and timeliness of each piece of data.
  • We relate the data to each other, verify the relationships and constantly update the information.
  • Business users can leverage the value of the information within days, without the need for technical knowledge.
  • Reduce costs, increase your business ratios and KPIs.
  • Pay-per-use and access only to the data you need.
  • Functional accompaniment during the entire period of leave.
  • A team that brings together Data Scientists and the experience of a company that has been managing data for more than 25 years.

External data enrichment use cases

Creation of a variable that allows companies to be segmented according to their degree of digitalization

Need: A large company in the Utilities sector, in order to optimize the commercialization of its products, it seeks to add to its analysis a variable that synthesizes the Digital Maturity Level of companies.

gráfico nivel de madurez digital

Solution: The Digital Maturity variable is constructed from firmographic variables and the web content of each company, using multivariate modeling. For example, depending on their ecommerce, blog, visits or social media activity, among others, they score more or less in the Digital Maturity variable.

Combination of geolocation data with external data to generate new insights

Neeed: Large company seeks to activate strategies based on data that impact sales.

infografía

Solution: Through a company App and the acceptance of the location by the user, we analyze the behavior and combine it with data from Pyramid Datalake to anonymously qualify users and activate new strategies. For example, with external data the potential as a consumer is inferred (luxury brands or services associated with swimming pools, gardens, paddle tennis, tennis and security systems), workplace, family type, usual supermarket of purchase or willingness to invest in education.

Creation of a variable that allows companies to be segmented according to their degree of digitalization

Need: A large company in the Utilities sector, in order to optimize the commercialization of its products, it seeks to add to its analysis a variable that synthesizes the Digital Maturity Level of companies.

gráfico nivel de madurez digital

Solution: The Digital Maturity variable is constructed from firmographic variables and the web content of each company, using multivariate modeling. For example, depending on their ecommerce, blog, visits or social media activity, among others, they score more or less in the Digital Maturity variable.

Combination of geolocation data with external data to generate new insights

Neeed: Large company seeks to activate strategies based on data that impact sales.

infografía

Solution: Through a company App and the acceptance of the location by the user, we analyze the behavior and combine it with data from Pyramid Datalake to anonymously qualify users and activate new strategies. For example, with external data the potential as a consumer is inferred (luxury brands or services associated with swimming pools, gardens, paddle tennis, tennis and security systems), workplace, family type, usual supermarket of purchase or willingness to invest in education.

Frequently asked questions about Pyramid public and private datasets

It is easy to define what data external to an organization is: all data that is not generated or available within the existing systems within it.

Internal data is crucial as it talks about your business and customers, but usually has very limited information about your customers and market. To achieve a more complete vision you must incorporate external data that answers key questions in your analytical solutions.

The use of external sources can multiply the financial performance of our business and complements our own information in order to make better decisions. Read a complete case in our ebook on external data.

It focuses on four data areas:

  • Business (B2B): Universe of companies, individual entrepreneurs and organizations along with their associated commercial information
  • Context (B2C): Sociodemographic, economic, real estate and meteorological indicators that qualify the environment of a location.
  • Geo: Cartographic layers and associated physical information that allow the Spanish territory to be described, divided and geographically characterized.
  • Digital: Web data and audiences originating online.

You can access the complete updated catalog

Public data sources usually make their data available in raw form and in a limited manner that is not suitable for ingestion into business processes. In many cases it is convenient to have specialist companies that pre-process open data as your information systems require.

Let’s take the example of wanting to integrate the Cadastre into our information systems. We find unstandardized, non-normalized data in various sources from the regional communities. Deyde DataCentric offers you access to cadastral information that is already standardized, enriched and ready to be connected.

Access the free ebook on how to work with cadastral information.

Yes, although much of our data has public origins, our production team and data scientists work on that data to validate, enrich and curate it to generate new “prepared” datasets ready to be used in real time in your data solutions. We have exclusive information for B2B data, real estate data or ESG data.

Pyramid data is stored in Amazon Web Services (AWS) S3, EU resident (Ireland, currently) and is accessible via API, SalesForce connector, or through our MyDataQ data quality tool.

Frequently asked questions about Pyramid datasets

It is easy to define what data external to an organization is: all data that is not generated or available within the existing systems within it.

Internal data is crucial as it talks about your business and customers, but usually has very limited information about your customers and market. To achieve a more complete vision you must incorporate external data that answers key questions in your analytical solutions.

The use of external sources can multiply the financial performance of our business and complements our own information in order to make better decisions. Read a complete case in our ebook on external data.

It focuses on four data areas:

  • Business (B2B): Universe of companies, individual entrepreneurs and organizations along with their associated commercial information
  • Context (B2C): Sociodemographic, economic, real estate and meteorological indicators that qualify the environment of a location.
  • Geo: Cartographic layers and associated physical information that allow the Spanish territory to be described, divided and geographically characterized.
  • Digital: Web data and audiences originating online.

You can access the complete updated catalog

Public data sources usually make their data available in raw form and in a limited manner that is not suitable for ingestion into business processes. In many cases it is convenient to have specialist companies that pre-process open data as your information systems require.

Let’s take the example of wanting to integrate the Cadastre into our information systems. We find unstandardized, non-normalized data in various sources from the regional communities. Deyde DataCentric offers you access to cadastral information that is already standardized, enriched and ready to be connected.

Accede al ebook gratuito sobre cómo trabajar con información catastral.

Yes, although much of our data has public origins, our production team and data scientists work on that data to validate, enrich and curate it to generate new “prepared” datasets ready to be used in real time in your data solutions. We have exclusive information for B2B data, real estate data or ESG data.

Pyramid data is stored in Amazon Web Services (AWS) S3, EU resident (Ireland, currently) and is accessible via API, SalesForce connector, or through our MyDataQ data quality tool.

Contact for more information about spanish datasets and custom data projects

Contact now

The Pyramid data source is an open and flexible solution that adapts to multiple problems. Contact us to tell us about your case.

The Pyramid data source is an open and flexible solution that adapts to multiple problems. Contact us to tell us about your case.