Not everything under the sun,
just the stuff
*”Not everything” means that DataParQ is
built on Pareto's Law or the 80/20 principle
to revolutionise
Just drag and drop
your own meaning
to revamp
to modernise
to reshape
to transform
your data end game.
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Single Source of Truth for Your Data:
Engineering level capabilities for analysts

DataParQ is an acceleration layer to enable organisations to exploit Data & AI that requires low coding, scales enterprise wide with governance ​to create a supportable DataOps lifecycle​

Start with questions, not having
to worry about data

Data Analyst

Operational Excellence and Profitability with Data-Driven Insights

Leverage data to streamline operations, identify opportunities, and drive business value.

  • Easily access and understand data assets.
  • Quickly iterate and refresh temporary pipelines.
  • Connect, integrate, and pull data from a variety of sources.
  • Cleanse and enrich data to ensure its quality and accuracy.
  • Work with IT to create infrastructure, architecture, and security for new analysis projects.
  • Provide new insights and find new opportunities using existing and new data.
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Data Engineer

Streamlining Data Delivery with Automation and Governance

Enhance data quality and reduce risks while accelerating data delivery.

  • Automate data ingestion, cleansing, and segregation. 
  • Govern data to ensure its quality and compliance. 
  • Enrich data with reference data and other external sources 
  • Integrate data into DataLake houses. 
  • Collaborate on common data with Data Analysts and Scientists. 
  • Automate machine learning workflows. 
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Data Steward

Ensure Data Quality and Trust: Building a Solid Foundation for Analysis

Optimise data operations by streamlining incident management, safeguarding sandbox environments, and ensuring data quality. 

  • Proactively identify and resolve data issues before they impact users. 
  • Centralize visibility into the data infrastructure and workloads. 
  • Ensure data quality and completeness. 
  • Facilitate data governance and compliance. 
  • Simplify incident management. 
  • Manage sandbox environments effectively. 
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Data Owner

Building a Competitive Advantage: Secure, Compliant, and High-Quality Data

Gain a competitive edge by making better-informed decisions, increasing operational efficiency, and ensuring the protection of sensitive data.

  • Easily enforce data governance policies and ensure compliance with industry standards. 
  • Protect sensitive data with anonymization and encryption. 
  • Enhance data quality with automated data cleansing and enrichment.
  • Manage user access and permissions with granular controls. 
  • Document data definitions and lineage to improve data understanding and traceability. 
  • Receive real-time alerts for data quality and permission issues. 

  

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Leadership

Empowering Leadership Through Data-Driven Insights

Make strategic decisions with confidence by providing a holistic view of your organisation’s data landscape.

  • Centralise and govern all your data assets, eliminating silos and ensuring data consistency.
  • Make informed choices based on real-time insights, not intuition, to achieve your strategic goals.
  • Empower all levels of your organisation with secure and governed access to the data they need.
  • Streamline data operations and minimise compliance risks with automated governance and robust security features.
  • Unlock the potential of your data to drive innovation, identify new market opportunities, and stay ahead of the competition.
  • Reduce the burden on IT by automating routine data tasks, freeing them to focus on strategic initiatives.
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We deploy Lakehouse
architecture as part of
DataParQ

build your data lakehouse on

google-ezgif.com-png-to-webp-converter Google Cloud Platform
amazone-ezgif.com-png-to-webp-converter AWS S3
databricks-ezgif.com-png-to-webp-converter Databricks
aws-ezgif.com-png-to-webp-converter AWS redshift
big_query-ezgif.com-png-to-webp-converter Google BigQuery
azure-ezgif.com-png-to-webp-converter Azure Synapse*

Stop coding, start analysing

Experience engineering-level data analysis,

all in one place.

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Reach out our team to find out more about DataParQ.

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