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Data and Analytics

Data & Analytics

At Wrive, Data is about Storytelling.


By by 2030 there will be over 50 billion connected devices and by 2025 we will be  producing over 175 Zettabytes of data - with  90% of that data created in the preceding 2 years. For Australian businesses, it has never been clearer that Data Drives Decision Making.


The key to companies successfully leveraging data and gaining an advantage is to realise the primary goal of data and analytics - which is to help organizations make smarter decisions to achieve better business outcomes based on the stories the data conveys.


When it comes to storytelling with Data and Analytics, there are four distinct analytical methods used for decision making - Descriptive, Predictive, Prescriptive, and Diagnostic.


Descriptive Analytics tells the story of what has occurred and how your business has performed. Predictive analysis allows you to make decisions based on those historical outcomes, similar to how regression models work in Machine Learning algorithms. Diagnostic analysis takes Descriptive Analysis further by delving into the weeds to understand Why a particular outcome occurred. And finally, prescriptive analysis is the final stage in providing recommendations on what course of action an organisation should take, based on the data - this is where AI and deep learning lives.


Using data to understand what’s possible or what may occur is only one small step in the larger journey for organisation wanting to become a data centric organisation. Organisations that view and manage data as a strategic asset, fundamentally driving decision making at the core of their business, become a true data driven enterprise. Data-driven enterprises must then ask themselves different questions:


“With this data, or this type of insight, how could we fundamentally change the value propositions for our customers?” or, “How can we deliver new value propositions?”


To answer these questions, data driven organisations need to ask themselves new questions;


  • How can we use data to quantify reduced risk?

  • How can we quantify opportunity captured?

  • How can we analyse our value chain to understand where bottlenecks occur and quality degrades (and where opportunity exists to increase operational efficiency)

  • How can we use data to increase the customer lifetime value

  • How can we commercialize our data and move towards operating as a platform

  • How should we enrich datasets with intent data and focus sales and marketing efforts on targeted accounts to drive increases in net new business

  • How can we introduce automation, increase efficiency and productivity and drive down cost and inefficiency

  • How should we Increase data on prospective and current buyers

  • How can data help us to decrease customer churn and improve the overall CX

  • How will data help us to innovate by bringing new products and services to market

  • How can we increase marketing effectiveness with tailored, targeted campaigns

  • How can we analyse sentiment and customer satisfaction to improve our value proposition

  • How can we capture more web traffic and convert to paying customers through analysing clickstream data and intercepting with chatbots and tailored calls to action


To understand how organisations are utilising data and analytics how your organisation can achieve similar results, speak to our architecture team to begin your journey to building a data driven culture.

Event Driven Architecture

Event Driven Architecture

To define what an Event Driven Architecture is, first we must take a step back and understand the software development principle of Service Oriented Architecture, or SOA and in particular, Microservices. Microservices are a way of designing complex application architecture, deployed via loosely coupled components that focus on delivering a common service.


An Event Driven Architecture is at the heart of any SOA or Microservices design.


An Event Driven Architecture allows distinct service components to operate independently of one another while working together to deliver an end to end solution. Central to an Event Driven Architecture (EDA) are the messages and events. An Event Driven Architecture allows organisations to exchange messages or events from one disparate application or service to another through a message broker while ensuring delivery guarantee.


An EDA is a set of infrastructure services that commonly (but not exclusively) communicate over REST API's via Http, with an event broker at its core. This allows for automated exchange of messages or events from one application or service to another in a publisher-subscriber model.


There are many different forms of EDA's which can cater various use cases, such as real-time data streaming, IoT applications, telemetry collection and electronic data exchange and more. Real world applications of EDA's include application integration, such as automatically generating a bill of materials and an invoice in disparate inventory management and finance systems, from a common payload derived from an event triggered in a web store by a customer purchase.


Or consider when a new-hire is created in payroll, that same employee information is automatically created/synced to down-stream systems. Other applications can include collection and processing of data from field devices, such as sensors, HVAC units, ATM and cash machines and many other scenarios, storing that data centrally and notifying analytical services, including Machine Learning models and much more. The application of an EDA is limited only by your imagination.


Once commissioned, one of the many benefits an EDA brings to an organisation is the ability to "plug and play" applications and services into the event fabric. As an EDA can adopt a pub/sub design, this allows you to plan and build for your immediate requirements while future proofing and standardising how applications interoperate now and in the future - even if those future applications do not yet exist.


Your organisation is ready for Wrive to build an Event Driven Architecture:


•        If there is a desire to create workflows and automate business process and/or   

          improve operational efficiency

•        If you wish to remove data silo’s and create a data driven culture

•        If you want to centralise and simplify complex orchestration problems

•        If you need to analyse real time data streams as data is created

•        If you have a desire to visually integrate data sources, construct ETL processes

          and accelerate transformation initiatives

•        If you want to prepare your organisation and data for AI and ML

•        If you are ready to modernize your Cloud Environment

•        If you need to migrate or integrate business applications and automate process

•        If there is a need to prepare your team and build capability for a modern cloud


•        If you are ready to innovate


Get in touch with our architecture team and talk to a subject matter expert to understand how an EDA is right for your business.

Operational Efficiency and Automation

Operational Efficiency & Automation

At Wrive, everything we do starts with a question. We challenge the status quo by engaging closely with our clients to understand the very fabric of their business, their goals, their people. It is this approach that allows us to build the right solutions, with the right technology and achieve the right outcomes.

Today, there are a multitude of development platforms and languages to choose from to meet your needs. Through close consultation, Wrive is able to architect and build bespoke apps or end to end integrated solutions for our clients, to suit their needs.

Building in platforms such as flutter or VScode with languages such as javascript and node, C# and .Net, to name a few, or even building on a low code/no code platform such as the Power Platform, ensures we deliver meaningful outcomes and highly engaging solutions that put the customer challenges at the centre of the development process.

Leaning on more than two decades of experience in software engineering and full stack development, Wrive has developed a six stage methodology that integrates varying software development and testing principles, such as Agile, Waterfall, Scrum and others, to ensure that your solution is fit for purpose and exceeds expectations.

Read our case studies and visit our newsroom to uncover more detail on how Wrive can help your business with its Application Development initiatives or book a consultation workshop with our team to start you down your path to building your new app today.

Operational Apps & DevOps

Workflow automation is at the heart of every organisation's digital transformation. Workflow automation is how we design, implement and automate routine business processes and improve the efficiency and effectiveness through digitisation.


Wrive helps organisations to understand, analyse and map out business processes to identify areas that can improve accuracy, productivity and efficiency, lower complexity and cost. This, in turn, empowers your teams to focus on creating value for the business - inevitably helping to increase job satisfaction.


By creating and delivering workflow automation solutions for our clients, Wrive has helped organisations to not only achieve more in rapid time, but also uncover new possibilities, pivot to new models and create more meaningful outcomes.

Workflows can be built in native languages or using tools and platforms and through Wrive's six stage software engineering methodology, we can help you to select the best method for architecting and implementing your automation initiatives. Through our digital strategy sessions and workshops, we assist in identifying where processes can be improved, helping you to achieve your goals faster.

Read our case studies and visit our newsroom to uncover more detail on how Wrive can help your business with its Automation initiatives or book a consultation workshop with our team to start you down your path to automation.

Operational Apps and DevOps
AI and Machine Learning

AI & Machine Learning

Determining your needs can be a challenging task, given the multitude of options facing your business today. As more and more organizations digitize their workloads and processes to automate, while introducing new platforms and technologies, the task of defining and executing a digital strategy can be daunting.


That is where our team can help.

Having conducted more than 40 workshops over the 5 past years, across process automation initiatives including reporting, integration, digital transformation, cloud strategy, mobile and app development, Wrive have the depth and breadth of experience to help you achieve your digital goals.

Over two days, we conduct on site or remote workshops, interviews, architecture sessions and round tables to consult with your teams, uncover the challenges unique to your business and apply a technology lens to identify outcomes to help your business with growth, pivoting, new business models or whatever your transformation needs.

Read our case studies and visit our newsroom to uncover more detail on how Wrive can help your business with its Digital Transformation initiatives or book a consultation workshop with our team to start you down your path to digitization.

Security and Governance

Security & Governance

While each business will have its own strategic priorities, these decisions are ultimately driven by customer demand, shareholder demand or market conditions. The two main streams of a Digital Transformation Programme of Work are either transformation or optimization - each with its own drivers.


Data and the resultant output, analytics, are two tools that help you forecast and measure the value and return of your initiatives, along with the investment made. Not only is data central to modern enterprises decision making, it is critical in validating investment outcomes.


Each organisations journey will take a slightly different path, however we can distil the process into key initiatives and drivers. The three main drivers and their initiatives for DT programmes are:


  • Adaptability: Create Market Share, Take Market Share, Building a culture of innovation

  • Resilience: Preparation for disruption

  • Effectiveness - Increase collaboration, improve the CX/UX, modernization (and optimisation)


At Wrive, our six stage methodology for defining, discovering and delivering data and analytics initiatives start with a conversation. What is your ambition and what does the promised land look like?


From here we being to build Initiatives, Epics and User stories for your data journey, leading into further discovery and design phases as we move towards building a pilot solution, underpinned by a robust business case and measurable OKR's.


The Business blocks of modern data and DT initiatives


Typically, as we consult with enterprises, we see commonality across the building blocks of every D&A programme. While the outcomes and drivers may differ, each organisation typically starts their journey with a desire.


  • The desire to unlock more from your data is one major driver for digital transformation

  • DT initiatives can be categorised into two main streams - transformation or optimization

  • Each has its' own business drivers (increase market share, create new revenue streams, drive down cost, reduce risk, etc)

  • Data is central to driving successful outcomes and realising forecasted ROI on DT initiatives

  • Management and governance of data long term is critical to maintaining value in your investment and outpacing the market


The technology stack to deliver


Then, as we begin to discover the uniqueness of your requirements, we can start to build a High Level Solution Deign (HLSD) for what your modern data estate may look like:


  • Current state tech: Where is your data today?

  • System Integration and bespoke development, as well as automated pipelines: Build integrations to extract your data from where it currently resides

  • Automated ETL/ELT, scripted ETL/ELT: Transform your data into the right formats, cleaned, wrangled, and normalised

  • Data Warehouse, Datalake, Lakehouse: Store data in the right location for each requirement, with access to pipelines and datasets by the right services

  • Self-service Analytics: Present it to the right people and teams for consumption

  • ML and AI: To unlock insights and facts at speed and scale

  • Purview and Data Governance: Management, ownership, lineage, security, classification, publishing and rights management


As we understand the drivers, outcomes, OKR's, any potential blockers or risks and the required technology to deliver, we can then begin to design an end state architecture, purpose built, for your organisation. Some of this you may already have in production which we will interface with. Some of you may not, which provides a great opportunity to build from the ground up.


A typical end state architecture may look something similar to this reference architecture, built on Azure.

azure-analytics-end-to-end (1).png

Once we define the HLSD, we can then break each initiative down and further refine our Epic's into Horizons. This provides a clearly defined timeline and expected outcomes for each phase as you move towards a modern data estate.


For further reading on our modern data philosophy, download our Digital Innovation eBook, which provides insight into industry trends, detailed analysis and technical guidance to help you kick start your journey.

For further information, read our case studies and visit our newsroom to uncover more detail on how Wrive can help your business with its Data and Analytics initiatives or book a consultation workshop with our team to start you down your path to unlocking the full potential of your data.

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