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Data Architecture

Data Architecture

Data Warehousing & Engineering

Data Architecture Strategies bring your data ambitions to life

INTRODUCTION

Calligo’s team of experts designs and builds tailored data solutions that enable efficient data management and utilization. By leveraging our expertise, we help businesses maximize the value of their data assets, whether that involves creating a data lake, designing a data warehouse, or building a robust data governance framework.

Our data architecture services are designed to meet the unique needs of each business. We work closely with clients to understand their data landscape, identify areas for improvement, and develop a customized solution that fits their specific requirements. By providing a comprehensive range of data architecture services, we help businesses enhance their data operations and gain a competitive edge in today’s data-driven business landscape.


How to build Data Architecture Strategy with Calligo

  • Vision & Strategy

    01

    Based on your objectives, resources, culture and compliance obligations, we will use our creativity and expertise to craft a data infrastructure blueprint that will serve and support your every strategic ambition.

  • Assessment

    02

    On top of the blueprint will lie a granular investigation of your data sources and assets – their location, quality and demands, and the platforms (cloud or on-premise), pipelines and technologies that they will need to perform their role in your strategic objectives.

  • Implementation

    03

    Turning vision to reality. Our Data Engineers will create the pipelines, data models and environment that will transform your organization’s decision-making.

Why choose Calligo for your Data Architecture Strategy?

  • Efficient data management

    Our data architecture services enable businesses to manage their data more efficiently, which can help reduce costs and improve operational efficiency.

  • Tailored solutions

    Our team of experts works closely with businesses to design and build tailored data solutions that meet their unique requirements, enabling them to leverage their data in the most effective way possible.

  • Improved data utilization

    By optimizing data architecture, businesses can better utilize their data assets, gaining valuable insights that can inform strategy and drive growth.

  • Robust data governance

    Our data architecture strategy includes building a robust data governance framework, which can help businesses ensure compliance with data privacy and security regulations.

  • Enhanced data operations

    By providing a comprehensive range of data architecture services, we help businesses enhance their data operations, enabling them to stay competitive in today’s data-driven business landscape.

  • Competitive edge

    With our data architecture strategy, businesses can gain a competitive edge by unlocking the full potential of their data assets and leveraging insights to make informed decisions.

View all related Case Studies

  • Renewal Foodbank: Enhancing Impact Visibility through Data Visualization

  • Red Classic – Optimized Logistics Operations

  • USAF Air Mobility Command

  • T-Mobile Device Sales

  • Sealey

  • Holcim

  • Fletcher Jones

  • ConcordRENTS

  • Sustainable Fisheries Partnership

  • T-Mobile & Sprint Merger

  • SunRun

  • Wheels Up

  • Our Solve My Bycatch Problem tool is a resource for fisheries stakeholders to understand how to reduce risk to vulnerable ocean wildlife. But it’s only really valuable if people use it. The eye-catching design and easy user interface that Calligo created will help ensure that the right people get the information they need.

    Sustainable Fisheries Partnership

    Kathryn Novak
  • The difference working with Calligo was the team’s mindset. They looked at the problem entirely as a commercial question, not as a data science challenge applied in a business context. And it worked.”

    Microsoft

    Bo Oslen

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data-engineering

Data Engineering

Data Engineering

Data Warehousing & Engineering

Featured insight

The technological groundwork to transform your data deluge into high quality decision making.

INTRODUCTION

Calligo’s team of experts helps organizations integrate, manage, and automate their data to enable more informed decision-making. Our data engineering solutions are tailored to meet the unique needs of each business, ensuring that they can leverage their data in the most efficient and effective way possible.

Our team consults closely with businesses to understand their needs and design a customized solution that meets their specific requirements. With a focus on data privacy and security, our data engineering solutions are trusted by businesses around the world to deliver the results they need to succeed in today’s data-driven landscape.


Explore how Data Engineering capability works

  • Building the Foundation

    01

    Our Data Engineering Services begin by building the foundation of data analysis and science. This involves consolidating structured and unstructured data, optimizing its flow and delivery, and ensuring uniformity.

  • Quality and Consolidation

    02

    Next, our team focuses on ensuring the quality of the data by performing checks for completeness, uniqueness, accuracy, validity, and standardization. We also remove data silos and improve understanding of processes and performance.

  • Data Flexibility & Scalability

    03

    Finally, the team ensures that data is readily available through data pipelines that provide quality data as soon as it’s needed. We consolidate all current and future data sources, enabling businesses to scale and prepare for the future.

Our Data Engineering team has a breadth of skills. No data engineering requirement is too challenging

  • Databases

    SQL, MySQL, NoSQL and many others

  • Programming

    Python, Scala, Java and more as required

  • Cloud architecture

    Azure, AWS, or our own public cloud, CloudCore

  • Data warehousing

    Snowflake, Azure Synapse, AWS Redshift and more

  • Automation

    Transforming existing processes into automated pipelines

  • Data modelling

    Construct flexible common data models that ensure continuous uniformity

  • Data pipelines

    Automated real-time or batch data collection

  • ETL / ELT capabilities

    Highly skilled in both disciplines and supportive technologies

View all related Case Studies

  • Renewal Foodbank: Enhancing Impact Visibility through Data Visualization

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The difference working with Calligo was the team’s mindset. They looked at the problem entirely as a commercial question, not as a data science challenge applied in a business context. And it worked.”

Bo Oslen

Microsoft

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Data Warehousing as a Service

Data Warehousing as a Service

DATA WAREHOUSING & ENGINEERING

Featured insight

Introducing Calligo’s Data Warehouse as a Service (DWaaS) Solution

INTRODUCTION

Calligo’s Data Warehouse as a Service (DWaaS) offers a single, safe and secure data foundation so every team and department can make better decisions in full context and innovate faster.

Consistent, consolidated data means you can build a more dynamic business. Data Warehouse as a Service (DWaaS) is a managed service model that allows you to exploit the insights, data consistency and data safety benefits of a data warehouse solution without paying the upfront costs of building your own, or hiring teams to do so.


Explore how Data Warehouse as a Service works

  • Consolidate and Centralise Data

    01

    Develop a consistent and safe data environment that consolidates multiple data sources under a single interrogable data model.

  • Reliable Data Foundation

    02

    Establish a solid and reliable foundation for fast, context-rich decision-making using data analytics, machine learning, and visualisation tools. This provides an alternative to complex and restrictive system integrations by leveraging the Data Warehouse.

  • Data-Driven Culture

    03

    DWaaS enables the creation of a future-proof data framework that can accommodate new or replacement data sources without interrupting decision-making. Establish a single environment for overlaying data privacy, security, and regulatory policies and technologies.

Data Warehouse as a Service from Calligo

  • Quick and accurate data extraction

    High integrity transfer of data from any sources through expert use of leading pipeline technologies, or custom code.

  • Built on safe, secure, independent architecture

    Unhindered by any constraints within your current infrastructure, while tightly aligning with your disaster recovery strategy.

  • Creation and maintenance of data model

    Custom-built data model, turning disparate data sources into a consistent dataset and ensuring continuous data quality.

  • Privacy by Design

    Entire service – including data logic, model and infrastructure – built to privacy best practices, and in line with any governance requirements.

  • Trustworthy data

    Merged, cleansed and enriched data, regularly tested for accuracy and completeness and its compliance with the core data model.

  • Evolves with you

    Managed service ensures your data environment evolves in step with your needs, your business or changes to your data sources.

  • Secure

    Entire technology stack and all processes meet stringent ISO and SOC-based security and compliance requirements.

  • Innovation

    Delivery of better data faster, able to be put to a wide range of uses, powering real-time decision-making.

  • Continuous ROI

    Removal of infrastructure and application administration overheads, and sidesteps the need for data architecture skills.

View all related Case Studies

  • Renewal Foodbank: Enhancing Impact Visibility through Data Visualization

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The difference working with Calligo was the team’s mindset. They looked at the problem entirely as a commercial question, not as a data science challenge applied in a business context. And it worked.”

Bo Oslen

Microsoft

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