A person creating analytics dashboards for a tablet device

Data visualisation

Get real-time insights with good data visualisation and modern tools.

Data visualisation

Data visualisation: speed to insights for a competitive advantage.

Data visualisation is the art of presenting data in a way that's easy to understand. Good data visualisation and modern data-discovery tools can help place real-time insights into the hands of your decision makers.

Datacom can help you transform your data into insightful reports and dashboards. These will reveal trends and patterns hidden beneath the surface.

Identify trends faster

Interactive data discovery

Easily gather data

Business intelligence

Identify trends faster

Data visualisation makes the complexities of data sets clear. When trends or patterns are easier to spot, data analysis becomes less complicated and people draw insights faster.

Identify trends faster

Data visualisation makes the complexities of data sets clear. When trends or patterns are easier to spot, data analysis becomes less complicated and people draw insights faster.

Interactive data discovery

Interactive data puts the user in the driver's seat. By using data-discovery tools they'll find trends that can help drive success and improvement.

Data democratisation

This is the ability for information to be accessible to the average end user. The goal is to enable non-specialists to gather and analyse data without needing technical help.

Business intelligence tech breadth

Specialist across a range of business intelligence technologies, including Power BI and Tableau.

Our expertise includes

Services
Platforms

Data platform modernisation
Data modernisation helps businesses be analytics-driven and generate monetisation opportunities. It helps businesses focus on creating customer experiences with improved operational efficiencies.
Data architecture
Data architecture helps you decide which platform is best based on your goals. It guides decisions around moving to a cloud-based solution or not, security risks, and database choices.
Data modelling
Data models help you understand your data assets through building blocks such as entities, relationships, and attributes. These represent the core concepts of any business.
Business intelligence and analytics
Business intelligence addresses ongoing operations. It supports businesses and departments to meet their goals. Data analytics help you gain insights and efficiencies that can transform your business.
Data management and optimisation
Data requires planning, monitoring, and continued management. Avoid increasing capital and operational expenses and delaying the delivery of results.
Data strategy and roadmap
Creating an accurate data strategy can enable significant opportunities, help improve processes, increase integration, and support change. It's a living, evolving document.
Master data management
A technology-enabled approach that ensures the uniformity, accuracy, and accountability of your master data assets. Master data describe the core entities such as customers, prospects, and suppliers.
Data quality projects
Ensure accuracy, completeness, consistency, and integrity. They ensure data is reasonable and timely with no duplications. Data quality projects ensure data is valid and accessible.

Power BI
Visualise your data and share insights across your organisation, app, or website. Connect to hundreds of data sources and bring your data to life with live dashboards and reports.
Tableau
Tableau is a powerful, secure, and flexible end-to-end analytics platform. Tableau is designed for individuals, but is scaled for enterprise needs.
Qlikview and QlikSense
Qlikview is for guided analytics, while QlikSense is for self-service data discovery.

With our data platform, we can give our users a cohesive view of our data from multiple source systems, access a reporting platform which standardises our reports and provide users awareness over Nelson City Council's data assets.

Jane McLeod

Manager, technology and customer experience, Nelson City Council

Frequently asked questions

As with any tool selection in your data architecture, there isn’t a one-size-fits-all option. You can figure out how to choose the right data visualisation tools by considering these questions:

What type of questions are your users asking?
What's the skill level of your users?
What technical resources do you have access to?
How much data do you have and what condition is it in?
Is remote access via a browser / mobile device needed?

Flashy visualisations aren't always optimised to help people see what matters. The choice to use these rather than accurate data visualisations is problematic. Data provides a crucial foundation for an organisation's decision-making and how it operates. It lets an organisation characterise their operations in new ways and drive innovative discoveries.

A data story accounts for how data changes over a period of time. It contains data points on time, location, volume, trend, significance, and proportion. It uses empathy, and it has a plot and a hero. It ends with a question and some options.

Discover more

The logical choice for digital transformation Kotahi receives a financial management system to match the scope of its global export ambitions.

Financial services

Datacom and Counties Power give power back to New Zealanders For Counties Power to use the cloud to visualise its data, it needed to see its business in a whole new light.

Energy & utilities

Clean data for clean water — leaving an environmental legacy Environment Canterbury is responsible for facilitating sustainable development in the South Island of New Zealand.

Public sector

Useful links

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