Data Warehouse, Infrastructure and Governance

We offer end-to-end data insights via best in breed integration , design methodology & DevOps security and scalability

Dealing with data discrepancies, slow business processes and abandoned business intelligence initiatives?

As businesses grow, structures change in parallel, creating disparate data and variations in business processes. As a consequence, reports start becoming inaccurate, take longer to be put together and put pressure on the business to manage. By developing a Data Warehouse you can improve your business data accuracy whilst maximising reporting efficiency and building a valuable information asset for your business. But where to start? we advocate a bottom up approach, focusing first on your most crucial business processes and building engagement with your stakeholders.

Benefits for your business

Experience across multiple industries that support your success

Our Methodology will identify quick wins to get going

Instead of taking weeks exploring API’s and manual methods to acces and structure your different data sources, it would take us a day or less to get a data analytics ready schema up and running. To do so we leverage our prime data ingestion partner, Fivetran, to access your company data siloes in e.g, Xero, Hubspot, Salesforce, etc… with an analytics ready schema. After this quick win, we will be able to easily build the data warehouse, bringing in and layering additional integrations from other systems, consolidating them.

In a nutshell, KeyData can rapidly build you a central source of data, extracting insights quickly through automation using our bottom-up approach. Our main focus is to make sure key stakeholders remain involved and efficiently contribute in the project, making sure they get the right data to act with. 

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Why us?

Let our experience and approach support your success!

Systems Thinking

Approaching each environment in a unique way

Systems Thinking

We take a wide view of your business to understand what you need now and into the future.


This workframe is our value differentiatior


We use to help clients define requirements for data modelling and data governance projects, accelerate and facilitate data discovery, increase stakeholder engagement and create alignment.

Multidisciplinary Team

Diversity & Experience into action

Multidisciplinary Team

We believe in the power different backgrounds and experiences can bring to a project.

Knowledge Management

Because all the processes needs to be documented

Knowledge Management

We follow best practices to to document identify, capture, store, and share knowledge of the project in one place.

DevOps Approach

Delivering separated environments, version control and scalability

DevOps Approach

In order to support all stages of a data warehouse development and maintenance we use methodologies from DevOps. These include GIT repositories, as well as code driven separated environments that support security and sustainability of efficient data integration processes. Furthermore, our approach assures efficient preparation and modelling of your data making it fit for consumption by business.

We embrace transparency and clarity across all our services.

Datawarehouse Design Stages

To accelerate and facilitate data discovery, stakeholder engagement, and requirement analysis we use Model Storming to:

  • Align project goals, expectations and business questions.
  • Determine the scope of the project in relation to business objectives.
  • Discover future needs and current needs by diving deep into your data (find out what data will be useful for analysis) and your current tech stack (where your data is currently siloed / not being put to use?)

Data warehouses typically have three primary physical environments — development, testing, and production. Setting them up will enable us to:

  • Test changes before they move into the production environment.
  • Ensure security best practices that block testers and developers from modifying the production environment.
  • Run tests against data.
  • Tracking, monitoring and managing data integrity.
  • Containing errors when running tests and avoid  and impacting performance.

Data modeling involves shaping the data structures to achieve the following purposes:

  • Schema performance
  • Consistent repeatable data regardless of the visualisation.
  • Standardise of dimentions, facts and names in line with business terminology.
  • Alignment with business questions.
  • Ability to provide data linage, cataloguing and dictionary.
  • Alignment with compliance and security protocols.

For this we use Tableau and/or Power B.I. our focus is visual design best practices. You can see more of this in our Dashboard Design and Data Integration Service.

We will work with you to plan the handover and design your desired level of enablement of your internal team.

Technology we use

We integrate all data sources leveraging the best technology platforms available

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KeyData’s approach aims for efficiently enabling businesses across APAC

Change the way you think about Data Warehouse projects

Develop Faster

These projects don't have to be endless and painful. Save time and money, replace boilerplate DDL/DML with simple SQL SELECT statements that infer dependencies, build tables and views, and run models in order. Write code that writes itself with macros, ref statements, and auto-complete commands in the Cloud IDE.

Whatever data sources you have, we can help you deliver accurate information to your business quickly. Our approach reduces time and cost, improving business buy in by using an standard set of policies and practices for succesful business transformation.

Work from the same assumptions

We avoid senseless meetings and major blockers by using pre-packaged and custom testing, helping the business create a “paper-trail” of validated assumptions for data collaborators. We like to promote trust and transparency for our data consumers by using auto-generated dependency graphs and dynamic data dictionaries.

Deploy with confidence

Making sure things work the way are supposed to can be easier than ever. We Build observability into transformation workflows with in-app scheduling, logging, and alerting. Protection policies on branches ensure data moves through governed processes including dev, stage, and prod environments generated by every CI run.

Support governance & security

We aim to eliminate data doubt with version control, testing, logging, and alerting. We leverage our partners platforms functionalities to snapshot changes over time and provide open access to hosted documentation. The structure and nature of the technology we use supports managing risks with SOC-2 compliance, CI/CD deployment, RBAC, and ELT architecture.

Challenges that you can tackle with Data Warehouse and Data Integration

We know having good partners Matter

Partnership that just make sense

Wherescape makes the journey towards accelerating your organisation much more flexible and affordable. Build, automate, and govern your business’ data assets. It’s a centralised source of indisputable information, provided through data. It means everything your team needs to make decisions, streamline processes, and understand your organisation is in one central spot. Gain new insights and perspectives on key pillars of your business, as well as your people, operations, and customers.

The approach, skills, and experience of KeyData and the features of WhereScape make this partnership a strategic choice for your business journey.

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Unlock better data analytics.
Book your discovery session.

You’re probably sitting on a goldmine of data. Book your discovery session to find out how to turn data into real insight.

Or call us on 1300 091 012