Introducing the
Qore Data Factory

The combination of automation and researchers allows us

to reach up to 99% data accuracy for all our published data

The processes of extracting data from diverse sources & integrating it into repositories that are many more times more valuable than the independent parts

The DaaS approach focuses on provisioning data from a variety of sources on demand through APIs. Designed to simplify access to data, it delivers curated datasets or streams of data to be consumed in a range of format

qoreproducts3

RPA is a software technology that makes it easy to build, deploy & manage software robots to emulate humans actions interacting with digital systems & software

Data integration is the practice of consolidating data from disparate sources into a single dataset with the ultimate goal of providing users with consistent access & delivery of data across a spectrum of subjects & structure types

Introducing the
Qore Data Factory

The combination of automation and researchers allows us to reach up to 99% data accuracy for all our published data

qoreproductsmobile (1)
Group 257 (4)

Curate

Team of researchers and stewards curating data sets

The processes of extracting data from diverse sources & integrating it into repositories that are many more times more valuable than the independent parts

Group 261

Automate

Develop next generation Robotic Process Automation

RPA is a software technology that makes it easy to build, deploy & manage software robots to emulate humans actions interacting with digital systems & software

Group 257 (3)

SaaS

Build for Enterprise

The DaaS approach focuses on provisioning data from a variety of sources on demand through APIs. Designed to simplify access to data, it delivers curated datasets or streams of data to be consumed in a range of format

Group 258 (3)

Integrations

Manage Master Datasets

Data integration is the practice of consolidating data from disparate sources into a single dataset with the ultimate goal of providing users with consistent access & delivery of data across a spectrum of subjects & structure types

Data Assembly Line (DAL)

How we build data products

3 Core Components: AI, Machine Learning & Gig Platform

Combining Technology, Collaboration & Empathy

Refresh Recycle

Data Categories

  • Frame (9)

    Facts

Fact data describe the factual information pertaining a dataset.

Examples include facts about businesses (annual revenue, no. of employees, country origin, location of offices etc.)

Because these data are not widely used by multiple businesses, it is usually customized (prepared only upon request).

Fact data tend to come together with a master dataset.

  • Group 149

    Master

Master data describe the people, places, and things that are involved in an organization’s business.

Examples include people (customers, employees, vendors, suppliers etc.), places (locations, sales territories, offices etc.), and things (accounts, products, assets, document sets etc.).

Because these data tend to be used by multiple business processes and IT systems, standardizing master data formats and synchronizing values are critical for successful system integration.

Master data tend to be grouped into master records, which may include associated reference data. An example of associated reference data is a state field within an address in a customer master record.

  • Group 138

    Reference

Reference data are sets of values or classification schemas that are referred to by systems, applications, data stores, processes, and reports, as well as by transactional and master records.

Examples include lists of valid values, code lists, status codes, state abbreviations, demographic fields, flags, product types, gender, chart of accounts, and product hierarchy.

Standardized reference data are key to data integration and interoperability and facilitate the sharing and reporting of information. Reference data may be used to differentiate one type of record from another for categorization and analysis, or they may be a significant fact such as country, which appears within a larger information set such as address.

Organizations often create internal reference data to characterize or standardize their own information. Reference data sets are also defined by external groups, such as government or regulatory bodies, to be used by multiple organizations. For example, currency codes are defined and maintained by ISO

Introducing the Qore Data Factory

Data-Factory-Image

Introducing the Qore Data Factory

Saas

Build for Enterprise

The DaaS approach focuses on provisioning data from a variety of sources on demand through APIs. Designed to simplify access to data, it delivers curated datasets or streams of data to be consumed in a range of format

Integration

Manage Master Datasets

The processes of extracting data from diverse sources & integrating it into repositories that are many more times more valuable than the independent parts

Curate

Team of researchers and stewards curating data sets

The processes of extracting data from diverse sources & integrating it into repositories that are many more times more valuable than the independent parts

Automate

Develop next generation Robotic Process Automation

RPA is a software technology that makes it easy to build, deploy & manage software robots to emulate humans actions interacting with digital systems & software

Data Assembly Line (DAL)

How we build data products

3 Core Components

AI

Machine Learning

Gig Platform

Combining Technology, Collaboration & Empathy

Solving-Enterprise-Mobile

Data Assembly Line (DAL)

How we build data products

3 Core Components: AI, Machine Learning, Gig Platform
Combining Technology, Collaboration & Empathy
Refresh-Cycle

Data Products

Data Access Models

Group 224

Point-in-time download

Data will be updated as of time of download (constant data refresh/ updates will not be provided)

Group 222

API access

API stands for Application Programming Interface, it is a software-to-software interface. APIs provide a secure & standardized way for applications to with one another to deliver information/ functionality - allowing data to be constantly updated & refreshed

Group 223

SaaS no-code

Using a no-code SaaS platform allows both developers and non-developers to rapidly build features without the need for coding - they can just drag and drop modules into a logical chain

Data Access Models

Group 224

Point-in-time download

Data will be updated as of time of download (constant data refresh/ updates will not be provided)

Group 222

API access

API stands for Application Programming Interface, it is a software-to-software interface. APIs provide a secure & standardized way for applications to with one another to deliver information/ functionality - allowing data to be constantly updated & refreshed

Group 223

SaaS no-code

Using a no-code SaaS platform allows both developers and non-developers to rapidly build features without the need for coding - they can just drag and drop modules into a logical chain

Data Access Models

Group 224

Point-in-time download

Data will be updated as of time of download (constant data refresh/ updates will not be provided)

Group 222

API access

API stands for Application Programming Interface, it is a software-to-software interface. APIs provide a secure & standardized way for applications to with one another to deliver information/ functionality - allowing data to be constantly updated & refreshed

Group 223

SaaS no-code

Using a no-code SaaS platform allows both developers and non-developers to rapidly build features without the need for coding - they can just drag and drop modules into a logical chain

Data Access Models

Group 224

Point-in-time download

Data will be updated as of time of download (constant data refresh/ updates will not be provided)

Group 222

API access

API stands for Application Programming Interface, it is a software-to-software interface. APIs provide a secure & standardized way for applications to with one another to deliver information/ functionality - allowing data to be constantly updated & refreshed

Group 223

SaaS no-code

Using a no-code SaaS platform allows both developers and non-developers to rapidly build features without the need for coding - they can just drag and drop modules into a logical chain

Data Access Models

Group 224

Point-in-time download

Data will be updated as of time of download (constant data refresh/ updates will not be provided)

Group 222

API access

API stands for Application Programming Interface, it is a software-to-software interface. APIs provide a secure & standardized way for applications to with one another to deliver information/ functionality - allowing data to be constantly updated & refreshed

Group 223

SaaS no-code

Using a no-code SaaS platform allows both developers and non-developers to rapidly build features without the need for coding - they can just drag and drop modules into a logical chain

Data Products

Data Access Models

Point-in-time-download

Data will be updated as of time of download (constant data refresh/ updates will not be provided)

API Access

API stands for Application Programming Interface, it is a software-to-software interface. APIs provide a secure...

SaaS no-code

Using a no-code SaaS platform allows both developers and non-developers to rapidly build features without the need...

Data Categories

Fact

Fact data describe the factual information pertaining a dataset.

Examples include facts about businesses (annual revenue, no. of employees, country origin, location of offices etc.)

Because these data are not widely used by multiple businesses, it is usually customized (prepared only upon request).

Fact data tend to come together with a master dataset.

Master

Master data describe the people, places, and things that are involved in an organization’s business.

Examples include people (customers, employees, vendors, suppliers etc.), places (locations, sales territories, offices etc.), and things (accounts, products, assets, document sets etc.).

Because these data tend to be used by multiple business processes and IT systems, standardizing master data formats and synchronizing values are critical for successful system integration.

Master data tend to be grouped into master records, which may include associated reference data. An example of associated reference data is a state field within an address in a customer master record.

Reference

Reference data are sets of values or classification schemas that are referred to by systems, applications, data stores, processes, and reports, as well as by transactional and master records.

Examples include lists of valid values, code lists, status codes, state abbreviations, demographic fields, flags, product types, gender, chart of accounts, and product hierarchy.

Standardized reference data are key to data integration and interoperability and facilitate the sharing and reporting of information. Reference data may be used to differentiate one type of record from another for categorization and analysis, or they may be a significant fact such as country, which appears within a larger information set such as address.

Organizations often create internal reference data to characterize or standardize their own information. Reference data sets are also defined by external groups, such as government or regulatory bodies, to be used by multiple organizations. For example, currency codes are defined and maintained by ISO

Sample Data Products

Data Access Models

Group 224

Point-in-time download

Data will be updated as of time of download (constant data refresh/ updates will not be provided)

Group 222

API access

API stands for Application Programming Interface, it is a software-to-software interface. APIs provide a secure & standardized way for applications to with one another to deliver information/ functionality - allowing data to be constantly updated & refreshed

Group 223

SaaS no-code

Using a no-code SaaS platform allows both developers and non-developers to rapidly build features without the need for coding - they can just drag and drop modules into a logical chain

Data Categories

  • Frame (9)

    Facts

Fact data describe the factual information pertaining a dataset.

Examples include facts about businesses (annual revenue, no. of employees, country origin, location of offices etc.)

Because these data are not widely used by multiple businesses, it is usually customized (prepared only upon request).

Fact data tend to come together with a master dataset.

  • Group 149

    Master

Master data describe the people, places, and things that are involved in an organization’s business.

Examples include people (customers, employees, vendors, suppliers etc.), places (locations, sales territories, offices etc.), and things (accounts, products, assets, document sets etc.).

Because these data tend to be used by multiple business processes and IT systems, standardizing master data formats and synchronizing values are critical for successful system integration.

Master data tend to be grouped into master records, which may include associated reference data. An example of associated reference data is a state field within an address in a customer master record.

  • Group 138

    Reference

Reference data are sets of values or classification schemas that are referred to by systems, applications, data stores, processes, and reports, as well as by transactional and master records.

Examples include lists of valid values, code lists, status codes, state abbreviations, demographic fields, flags, product types, gender, chart of accounts, and product hierarchy.

Standardized reference data are key to data integration and interoperability and facilitate the sharing and reporting of information. Reference data may be used to differentiate one type of record from another for categorization and analysis, or they may be a significant fact such as country, which appears within a larger information set such as address.

Organizations often create internal reference data to characterize or standardize their own information. Reference data sets are also defined by external groups, such as government or regulatory bodies, to be used by multiple organizations. For example, currency codes are defined and maintained by ISO