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      The Data City Tender Materials

      This is the basic information to complete tenders using The Data City data and platform

      What is The Data City?

      The Data City is a UK-based Global data provider and SaaS platform focusing on emerging sectors, high-growth companies, innovation clusters and investment. 

      We work with many of the UK's leading government departments, local authorities, investment firms and policymakers, to provide real-time insights that help drive better investment decisions. 

      The Data City was founded in 2016 and incorporated as a business in 2017. It was founded to do accomplish two main objectives:  

      1. Fix the fundamental limitations of SIC codes limitations of SIC codes using open data, the web and data science. 
      2. Build data infrastructure to allow measurement and analysis of the economy at individual company level in real-time. 

      As a result, The Data City has created the best available Data Assets and developed the best AI-powered Data as a Service product. The Data City's platform, the Data Explorer, comprises all the data sourced by The Data City, innovative solutions like RTICs, The Industry (Search) Engine supported, or machine learning list building.

      The Data City's data

      The Data City holds company-level data for all companies classed as active in Companies House. The Data City collates company data from different providers and develops proprietary metrics that describe the performance of individual companies. Below there is a summary of the main data sources used by The Data City and the proprietary metrics it develops. You can find more information about these (including limitations and advice on how to use the data safely) in this article:

      • CreditSafe: we source observed data from company accounts from CreditSafe. This includes time series data for a large range of variables, like turnover, number of employees or net worth.
      • Dealroom: The Data City developed an integration with Dealroom data that allows users to see how much private funding a company has raised along funding rounds
      • Lightcast: The Data City developed an integration with Lightcas that allows users to understand job postings for a group of companies. This is an add-on to the regular license fee and is not directly available to all platform users. 
      • Proprietary metrics: we develop extra metrics for each company. We advise reading the articles linked to each metric to understand whether these proprietary metrics can be used safely in the context of your project/research:

      The Data City also provides access to its proprietary data product, Real-Time Industrial Classifications or RTICs. These are built-in sector datasets that group companies working in emergent economy sectors. 

      Our Platform and Technology

      The Data City has developed a platform (the Data Explorer) powered by machine learning technology that allows users to browse and query available company data, and build machine learning lists of companies from scratch. These functionalities are divided into different sections of the platform:

      • EXPLORE: this function of the platform allows users to query all company data available. It includes existing RTICs, SICs and other key filters like keyword search (instant keyword search for companies' website text), geographies, financials and growth metrics. 
      • ANALYSE: this in-built analytical engine makes it possible to extract a wide range of summary statistics, proprietary metrics and insights for a group of companies. It includes the same filters mentioned above. 
      • COMPARE: this in-built analytical engine allows users to compare side-to-side similar metrics to those produced by the ANALYSE function for two groups of companies. 
      • MY LISTS: this function allows users to create their own machine-learning lists or sector classifications. 

      Real-Time Industrial Classifications (RTICs)

      Real-Time Industrial Classifications (RTICs) are The Data City's proprietary form of industrial classification, based upon web-scraped data and built using machine learning.

      RTICs are a modern classification approach, unlike the traditional SIC system that relies on predetermined and static categories. They are based on how companies describe themselves on their websites .

      The output is a dataset that gathers companies working in the same field. In this dataset, you will find all the data available for the companies in an RTIC. The data can be explored on the platform or downloaded.

      How are RTIC different from SIC codes? Find out more about the differences between the two classification systems here 

      RTICs-1

      Why can you trust RTICs?

      Our RTICs are built not only by people who understand our data but alongside experts in their respective fields.

      As an example, our various 'Space' RTICs (space economy, space energy, in-orbit space manufacturing etc.) were built in collaboration with the Satellite Applications Catapult. They helped us both build the taxonomy, as well as check which companies belonged in the training set.

      Some of our RTICs were built with our own internal experts. For example, Software Development was built in collaboration with our development team.

      Updating RTICs: Find out more about our RTIC review process in our Updating RTICs article. 

      How can you use RTICs?

      RTICs provide unique insights into emerging economies that SIC codes cannot.

      View RTICs at a top level to get a glimpse into the sector as a whole, or combine them with filters to get a more refined view.

      RTICs can be found under the RTICs section in the platform. 

      Use location filters to get regional insights, or growth filters to find high-growth companies and much, much more.

      GIF

      This page offers an overview of all the RTICs available on the platform, including their definitions, creation date, latest update, number of companies, and details about the included verticals. These RTICs can be selected for further exploration using the EXPLORE function.

      EXPLORE: Find out more about our EXPLORE tool and how to search our company database here. 

      You can find more information on RTIC methodology in this article.

      Data Services

      The Data City has a team of data analysts and data scientists that can be contracted to work on a project. The daily rate for data analysts and data scientists is 1000/day. Below are described the main services provided by our team:

      • Data and Platform Support: one of our analysts will work with you to make sense of the data to make sure that you understand the potential and capabilities of the platform and answer your research questions. Likewise, you can contract one of our data scientists to discuss advanced methodologies and approaches to analyse our data in relationship with other data sources. 
      • Data Analysis: one or a team of data scientists will perform an agreed analysis and provide outputs that are not currently available on the platform.
      • RTIC building: a team of data analysts will work with you to create your own custom RTIC and publish it on the platform. This includes taxonomy development, machine learning list production and review, and publishing.
      • Bespoke work: our team of data analysts, scientists and developers can work together with partners to develop new products or tools. 

      Commercials 

      If you are already a subscriber to the Data City platform – please get in touch to find out how we can help you use our platform and Industry Engine with our Data Services Team to successfully win your bid. 

      If you are not already a subscriber to the Data City platform – please get in touch to find out how we can help you use our platform and Industry Engine (under our pitch license, in simple terms you get all the functionality but without permission to use it commercially) with our Data Services Team to successfully win your bid.