Data Driven Business

Data-driven businesses are winning but more than ever, businesses are being measured on what they do with customer data

Data-driven businesses are 19x more likely to be profitable.

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They are also 23x more likely to gain customers and 6x more likely to retain customers.

Why is data important

Recent events in the industry have only sought to highlight the importance of governance, collection and use of data as part of growing connection with Customers and Employees.

Correctly defining, obtaining, securing, integrating, migrating, visualising and actioning on data is of ever-growing importance to more and more organisations.

Our approach looks to start with why data is valuable and build robust and smart data solutions to deliver that value, securely and continuously.

Ways we can help

A modern data
platform

Implementing a modern data platform involves integrating advanced technologies to centralise, manage, and analyse data. It enables real-time insights, scalability, and improved decision-making across the organisation. With cloud-based storage, data governance, and AI-driven analytics, a modern platform enhances data accessibility, security, and collaboration, driving business intelligence and innovation.

Compliance and
reconciliation

Enabling compliance reporting and reconciliation involves creating systems and processes that ensure accurate financial and regulatory data. This includes automating data collection, validating transactions, and generating reports that meet legal standards. It ensures transparency, reduces errors, and supports audit processes, helping organisations maintain compliance with relevant regulations and policies.

Deriving
insight

Deriving insight from data involves analysing raw information to uncover patterns, trends, and actionable conclusions. This process uses statistical methods, machine learning, or visualisation tools to transform data into meaningful insights, supporting informed decision-making, identifying opportunities, optimising processes, and solving complex business challenges with data-driven strategies.

Real-time
decisions

Enabling real-time decision-making involves the integration of live data streams and automated systems to generate up-to-the-minute reports. This empowers organisations to monitor performance, track key metrics, and make timely decisions. By minimising delays, it enhances responsiveness, improves operational efficiency, and ensures decisions are based on the most current information available.

Integrated
reporting

Delivering integrated reporting involves providing a comprehensive view of an organisation’s financial and non-financial performance. It combines traditional financial statements with environmental, social, and governance (ESG) factors to offer stakeholders a more holistic understanding of the company's strategy, risks, opportunities, and long-term value creation in a secure, self-service and governed data environment.

Fit-for-purpose governance

Fit-for-purpose data governance ensures that data management practices align with an organisation’s specific goals and regulatory requirements. It establishes clear policies, accountability, and processes for data quality, security, and accessibility, enabling informed decision-making, compliance, and operational efficiency, while balancing flexibility with control to meet evolving business needs. 

Our partners

In partnership with Microsoft, Snowflake and Zendesk, we have smart solutions to deliver across all customer journeys and to connect customers to your enterprise platforms. Our approach combines our award-winning experience design capability with best-of-breed technology to create a set of fit-for-purpose, high-value and fast-to-implement solutions.

Designed to deliver amazing results for you

Data Engineering

We specialise in data engineering through a range of data engineering services to help you manage your data more effectively, including data modelling, pipeline development, warehousing, integration, and quality assurance.

Strategy & Architecture

Developing a data-driven approach to your business operations, including defining governance policies, identifying key data assets, developing architecture and roadmaps, and implementing management frameworks.

Data Security

We provide comprehensive data security services to help you protect your data assets from unauthorised access, use, and disclosure, including risk assessments, security audits, policy development, security controls, and incident response planning.

Artificial Intelligence

Turning your data into actionable insights and recommendations, using AI and advanced analytics techniques such as machine learning, data mining, and predictive modelling, to drive business growth and innovation.

Data Integration

Unifying your data from disparate sources, integrate new data sources, and ensure data quality and consistency, using modern ETL and integration tools and techniques. We help you treat your data assets like products.

Data Governance

Establishing data management policies and standards, including data quality management, metadata management, data lineage, and compliance monitoring, to ensure the accuracy, completeness, and security of your data.

Business Intelligence

Helping you gain insights and visibility into your business performance, using interactive dashboards, reports, and visualisations to support informed decision-making and operational efficiency.

Data Migration

We help you transfer data from legacy systems to modern platforms, using proven methodologies, tools, and techniques, while ensuring data quality, security, and compliance throughout the process.

Technology we love to work with

Databricks
Databricks
AWS
AWS
Azure
Azure
Power BI
Power BI
Dynamics 365
Dynamics 365
Python
Python
Dataverse
Dataverse
Snowflake
Snowflake