Data Strategy Assessment & Roadmap
Our team will assess your current data and analytics ecosystem and develop a complete data strategy, including a step-by-step roadmap to achieve long-term goals.
Nobody wants to pay a vendor to come in and tell them what they already know – that’s why at the end of your assessment, you’ll be equipped with a customised data management plan for how exactly to move forward.
In order to achieve significant benefit through this exercise, we prefer to work alongside your team to design a successful, long term data strategy, producing a roadmap of targeted and manageable initiatives so that you can start seeing outcomes sooner.
Data Strategy Realignment & Execution
When dealing with an unpredictable economy, changing business priorities, and new technology choices, it is important to regularly review and update your data strategy.
We will help refresh your data strategy to ensure your data, people, processes, and tools are positioned to help you achieve your business objectives.
We're also ready to be your trusted partner when it's time to execute your data strategy roadmap.
Data Science Readiness
Data science readiness is important for every organization—no matter if you’re in an industry that is traditionally associated with data science and analytics or not.
We summarise the four components of organizational readiness as strategic, domain, cultural, and operational readiness.
Data science initiatives can easily be a costly mistake without adequate preparation. After a review of your current data, processes, technology, and infrastructure, you'll get a plan that lays out steps to initiate a data science program, including initiatives you can undertake immediately and recommendations for being successful with data science.
Architecture, Technology and Tools Recommendation
Technology in the data and analytics space evolves quickly but you do not always need the newest and shiniest tools to achieve your business goals.
We will help you choose the best tools for your needs, ensuring they play well with the rest of your data and analytics ecosystem and technologies. This includes facilitating vendor demos and providing you with a scorecard rating with a complete tool comparison.
We also provide optimisation recommendations for existing tools, so you get the most value from your technology investments.
Data Governance Methodology
Define how people and processes factor into how your organisation achieves and maintains success with data and analytics.
We will help establish a formal data governance program to ensure data is accessible, useful, secure, uniform, and trusted throughout the organization.
We also provide guidance on committee composition and charter, and can even facilitate meetings as a neutral third party.
Executive Advisory Services
We partner with your executives and help use your data to address their biggest problems.
This includes identifying and defining metrics needed to run the business, developing a plan for enabling decision making around these metrics, team structuring and assessments, and establishing data governance programs.
Data Management Strategy
Data is essential for organisations to do better in this competitive business world. But collecting, analysing, and managing information is challenging. And because of this, developing a data management strategy is one of the most critical parts of the data management processes.
All data requires some management to turn into valuable information—but not the same level of management. With a data management strategy, we help classify data and define the level of management needed so that it turns it into valuable information consistently over time. We will help you avoid paying more than what's needed for that valuable information.
Data Architecture Assessment
From the time data is created to the time it's analysed and archived, there are opportunities to maximise its business value. In this assessment, we'll review each stage of your data lifecycle to ensure valuable information is created repeatedly at scale.
Data Architecture
We design agile, modular, and scalable solutions that serve as the foundational hubs to all data and analytics needs. Our modern data architecture services include: designing data warehouses, data lakes, and data lakehouses; data modelling; data security; data storage solutions; cloud, on-prem, or hybrid architectures, master data management, and health checks.
Hybrid Data Cloud Services
We build and deploy cloud-based solutions for all data and analytics assets. We can help with cloud readiness assessments, initial cloud platform setup, solution architecture in the cloud, data migration to the cloud, cloud serverless solutions, platform security, platform health checks, and cost optimization.
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Data Engineering Services
We develop, manage, prepare, transform, and deliver data flows and integrations to enable analytics at scale. We specialise in data integration and data pipelines, data preparation and enhancement, ETL/ELT, health checks, proprietary/open-source solutions, and data quality.
Data Governance
We will help you take a democratised approach to data governance so that your data governance framework isn't over-engineered and integrates naturally into your business processes, leading to higher user adoption and quicker results.
Data Quality and Observability
We will help you identify the people, processes, and technology to put in place so that you can streamline data cleaning efforts and prevent bad quality data from being created in the first place so that your data and analytics systems are secure and trustworthy. Our services also include integrating data observability methodology across the data ecosystem along with catalogue and governance features.
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