Azure Data Analytics Services
Accelerate your digital transformation journey with Azure Data ServicesAzure Data Analytics Services
TL Consulting offer specialised and cost-effective Microsoft Azure Data Analytics Services designed to help you maximise the value from your data. Whether you’re new to Microsoft Azure Data services, you have recently migrated your data workloads to Azure or are looking to optimise your Azure data capabilities, TL Consulting can help you extract maximum value from your data leveraging Microsoft Azure.
Our Professional Services team have proven expertise delivering on Microsoft Azure’s Data Services ranging from managed database services, Azure data services along with machine learning & AI. Therefore you can use our team’s skills and expertise to uplift your data capabilities to stay ahead of your competition and make better-informed, data-driven decisions.

Our Value Proposition
On Demand Certified Azure Data Consultants (Rapid onboarding within 3 days)
Proven expertise delivering cost effective data advisory and data engineering services
Experienced with E2E Project Delivery in the Banking, Insurance, Government and Entertainment industries
Deploy and manage Azure Data Services with ease
Our Azure Data Consulting Services give you flexibility to jump start or optimise your data lifecycles
Your Microsoft Azure Data Opportunity
Accelerate your Azure Data Adoption
TL Consulting is committed to building unified data management and data governance to accelerate your Azure Data adoption
Azure Data Advisory Services
TL Consulting are committed to improving your data estate leveraging Microsoft Azure to ensure you can extract maximum value from your data to meet your business goals and objectives.
We provide data advisory services to assess your organisation’s data management capabilities and data governance in alignment to industry standards and best practices along with Microsoft Azure’s Well-Architectured Framework.
We’ll work together to define your Target State with clear and defined outcomes along with a roadmap on how you can accelerate and mature your data practice on Microsoft Azure.
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Our Delivery Approach
Data Discovery
- Identify data sources & data assets
- Define business goals, objectives and drivers
- Document business use cases in alignment to industry-standard data management practices
- Define data requirements & scope
- Define & agree on the data capability areas to be assessed
Current State Assessment
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Conduct detailed discovery workshops
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Conduct data management maturity assessment against in-scope data capabilities and subject areas
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Analyse details gathered against industry standard frameworks
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Identify gaps with respect to people, processes and technology
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Conduct SWOT analysis
Establish Target State Vision
- Establish target state definition based on the current state assessment findings
- Define & agree Azure data strategy
- Establish target state vision
- Define data work packages, effort and timelines
- Develop an implementation roadmap with clear and defined outcomes (tactical vs strategic deliverables)
Accelerate your Azure Data Capabilities
Modernise your data practices and build your data platform on Azure by leveraging the correct data management practices and principles.
Azure Data Engineering Services
TL Consulting have strong expertise delivering scalable and resilient data solutions. We compliment your teams’ capabilities by understanding your business models, workflows and objectives. Our team focuses on driving projects and enhancing your data quality, while adhering to timelines and quantifiable outcomes.
Our dedicated data engineering team are Microsoft certified data engineering experts, coupled with years of experience delivering data engineering services, strategies and solutions. Our clients range from specialised data and analytics teams, through to organisations that have a mature data engineering practice. Due to this range in data engineering maturity, we can provide managed services or drive end-to-end project delivery. Additionally, our team offers flexible models at a fixed price.
Our expertise includes delivering solutions across the entire data lifecycle which includes data modelling, feature engineering, performance tuning, building and deploying data pipelines and delivering data analytics solutions, enabling organisations to automate and optimise their data delivery aligned to DataOps best practices. Our team are experienced with Microsoft Azure and have delivered scalable solutions using tools such as Azure SQL Data Warehouse, Azure Data Factory, Synapse Analytics and Databricks.
Azure Data Toolchain
Given that we offer expertise and flexibility, your team can tailor our Azure data engineering and Azure data analytics services to your business and project needs, significantly building your teams maturity and business capability and therefore supporting your enterprise with the right technology partner.
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Microsoft Azure Data Service Bundles
If you are unsure about a bespoke solution, we have tailored bundles that help simplify your adoption of Microsoft Azure’s Data services. These bundles are designed to be lightweight, so your teams can witness Azure data enablement within weeks, with set objectives and deliverables. The Azure Data Services therefore can be tailored to your very needs.
Azure Data Acceleration Bundles
Azure Data Architecture
Advisory Services
Duration: 4-6 weeks
Designed for: Organisations who are new to Azure and are looking to define their Data Management Strategy
Example Deliverables:
Assess Current Data Estate & Tools
Data Management Assessment
Define Azure Data Vision
Develop Azure Data Strategy & Roadmap
Azure Data Analytics Services
Jump Start Implementation
Duration: 4-8 weeks
Designed for: Organisations looking to build their data analytics & data engineering foundation leveraging Microsoft Azure’s data analytics services
Example Deliverables:
Data Analysis, Selection & Verification
Define Analytics Requirements
Data Pipeline Definition & Configuration
Power BI Dashboard Design
Power BI Service Deployment
Azure Data Optimisation
Advanced Implementation
Duration: 10-12+ weeks
Designed for: Organisations looking to enhance their data platform and/or optimise DataOps practices leveraging Microsoft Azure.
Example Deliverables:
Data Analysis, Selection & Verification
Data Transformation / ETL
Data Modelling & Evaluation
Data Workload Optimisation
DataOps Pipeline Orchestration
Deployment & Operationalisation
Contact Us
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OUR DETAILS
SYDNEY
Level 14, 345 George Street
Sydney NSW 2000