SEAMS trial announced

City West Water (CWW), South Gippsland Water and Western Water are to participate in an Intelligent Water Networks (IWN) pilot project that’ll assess the benefits of adopting an asset investment planning solution that employs data analytics.

Aims of the project include the ability to use existing data to perform analytics that’ll feed into a long-term asset investment plan that can underpin the company asset management plan. This pilot will also seek to demonstrate how analytics can balance investment across the water company areas, in a transparent manner, based on levels of service and cost.

It’ll also try and assess existing data for use in analytical projects, identify the requirements to support a community data analytics solution and gain experience in using a community data analytics approach.

This project has been developed due to the need for Victorian water corporations to drive innovation and has been brought about because there is an opportunity to provide excellent value for money to customers through the leveraging of data analytics in order to optimise asset investment. This will ensure that water corporations are targeting renewals, condition monitoring and preventative maintenance in order to maximise customer benefit.






OSIsoft PI shows how asset performance can be measured and evaluated

One of the OSIsoft PI objectives was to demonstrate that asset performance, in this case pumps, could be measured and easy evaluated using the PI System.

All water authorities are aware of the importance of operating and maintaining assets in a way that minimises wear and maximises efficiency. 

One way to ensure optimised operational and maintenance efficiency is to monitor pumps and compare it with a manufacturer’s efficiency curve.  By doing so we can understand the cost impact of inefficient operation, choose an optimal point to carry out maintenance that balances increased operational costs with maintenance costs, measure effectiveness of maintenance (improvement in efficiency) and take a holistic, strategic view of asset performance and make better informed capital replacement decisions.

The PI System provides user-configurable analyses features, which allows standard algorithms such as pump efficiency to be integrated into the data model and used in displays and alerts.  In this case we can easily calculate pump efficiency and compare it with the manufacturer’s curve in real time using data available through OT systems.  This data can be delivering through ‘live’ real time dashboards showing asset or maintenance managers at a glance the current and past performance of individual pumps.

The flagship trial demonstrated capture of operational data and ‘target’ efficiency data for one sample pump in a single data model and was able to provide analysis of pump efficiency across typical operating speeds in real time as data is received and the presentation of data in a web-based dashboard.

The flagship trial showed that asset performance calculations can easily be implemented in the PI System, creating efficiency in asset analysis over manual processes and more importantly providing the information needed to support decision. Intelligent Water Networks (IWN) expect to see reduced maintenance costs and better strategic capital expenditure decisions informed by data.

The trial will help to answer questions such as: is it OK to run a slightly underperforming asset or does it make more sense to do maintenance? Although the maintenance schedule indicates maintenance is due, does the data indicate the pump is running well? Although maintenance has been done is the pump actually performing well?  Was the maintenance effective or did it introduce an issue? The pump has nominally reached the end of its life but is it running well and historically are we spending more on maintenance due to its age or is it OK?

There are immediate savings in making better informed decisions and over time the performance of individual pumps, sites or manufacturers can be assessed to inform buying decisions.

Data & Analytics Program Lead David Bergmann said: being able to see and compare performance of our assets will lead to optimisation of asset life and improvements in our operational efficiencies.

Meet the Champion: South East Water's Ninad Dharmadhikari

South East Water have name Ninad Dharmadhikari as their new Champion, so we decided to ask him a few questions about his background and hopes for the role.

Can you give us a bit of your personal background?

I am a Mechanical Engineer with passion for innovation. I completed my Bachelors in India and decided to pursue my Master’s studies at RMIT University in Melbourne. By the time I completed my studies, I was enticed by Melbourne’s multicultural society (including its amazing food) and decided to stay. 

And what is your professional background?

I joined South East Water three years ago as an intern while studying in University. During my internship, I learnt heaps about how the water industry operates, particularly the sewer network side of things and was quite fascinated by it. After my internship, I got offered a part time role at South East water.

This time, I was a Project Engineer working within the Research & Development area, developing smart controls for the rain water to hot water system for Aquarevo project. My role has since then progressed into a full time Research & Development Engineer and I support & lead different product development projects within South East Water.

What inspired you to want to become an IWN Champion?

An opportunity to collaboratively develop innovative solutions to real life challenges that the Victorian water industry currently faces inspired me the most. Also, while you are at it, you get to make new industry connections.

What IWN program interests you the most?

The Energy Optimisation & Power Program interests me the most. The world is making progress every single day & with that the amount of wastes that are being generated are increasing. Optimising processes not only reduce the associated costs, but it also reduces carbon emissions by making them lest wasteful.

What are you hoping to get out of the Champions program?

I am hoping to contribute to the existing projects and bring some new projects into IWN. I am also hoping to hone my leadership, collaboration skills & develop some new industry connections.

And if anything, what do you want to give back to IWN?

I want to create awareness about IWN and its cause and one day, hopefully offer my mentorship to the next IWN champions.

2019 IWN knowledge sharing conference call for submissions

The Intelligent Water Networks (IWN) Knowledge Sharing and Collaboration Conference is back and scheduled for Friday 22nd of March 2019.

The Conference will take place at Barwon Water’s headquarters in Geelong and the call for submissions has been sounded.

Submissions around the following themes will be accepted: innovation and technology, customer and community, smart networks and infrastructure as well as energy and zero waste.

Key points for submissions:

  • Submissions close on the 15th of February 2019. Notification of successful submissions will be on the 28th of February 2019.

  • 14 presentations will be accepted.

  • Presentations will be 10-12 minutes in length.

  • Presentations are to be engaging, informative and relevant.

  • Radical thinking and blue-sky submissions that stretch our mindsets are encouraged!


To submit, send a short abstract (100-200 words) to

Abstract format should include: title, presenter name, short presenter bio, thematic area and a brief description of the presentation.

Please direct any questions you have to Michael Thomas.

IWN funded study is finalist for award

An Intelligent Water Networks (IWN) funded collaboration between Central Highlands Water (CHW) and Victorian University (VU) has been nominated for the AWA Research Innovation Award.

In May 2018 the 10-week pilot investigation was initiated to research the removal and recovery of both the nutrients nitrogen (N) and phosphorus (P) at the Ballarat South Waste Water Treatment Plant.

The pilot featured two technologies:

  • Vacuum membrane distillation (VMD) unit, custom designed for the purpose of ammonia removal and

  • A struvite crystalliser to precipitate phosphorous and some of the ammonia.

The trial showed that the struvite crystalliser demonstrated > 90% P removal along with >30% N removal. The results were encouraging and this promising technology appears ready for a scaled trial.

The vacuum membrane distillation process achieved a > 90% nitrogen reduction, this process is technically feasible and could be an alternative to current N removal practice.

When the two technologies were used in series, it was seen that the residual nitrogen and phosphorous components were between 3 to 8%. The intellectual property agreement between all relevant parties enables the technology to be adopted by other Victorian water corporations.

With phosphorous being a dwindling resource in the world, this study also focused on the recovery of phosphorus (along with some of the nitrogen) in a form that could be used as an organic fertilizer in the agricultural industry. The principle of this technique is based on creating a favourable condition to produce useful form of phosphate precipitate eliminating the formation of unwanted phosphate products.

This technique could also be introduced to trade-waste generators that produce large volumes of effluent with high nutrient concentrations that could potentially impact central wastewater treatment facilities.

Unfortunately this study didn’t win this year, but the fact that IWN projects are gaining national recognition is proof of the value for money IWN can offer.

IWN representatives attend Smart Water Workshop

Intelligent Water Networks (IWN) representative David Bergmann has attended the AWMC Smart Water Workshop on behalf of the organisation.

Bergmann, who is the Program Lead for IWN’s Big Data and Analytics program, attended the workshop in Brisbane in lieu of Program Director Brett Millington – who was otherwise occupied.

In attendance were universities, water utilities, suppliers and providers. Dr. We Li from Sydney University kicked proceedings off by laying the foundation for our understanding of IoT before Professor Rachel Cardell-Oliver from the University of Western Australia shared their outcomes in developing leak quantification methods, anomaly detection at aquatic centres and development of a habit detection algorithm.

Further talks were delivered by Pablo Ledezma from the University of Queensland, who spoke about technology trends and how they drive IoT. In particular, it was noted that average sensor costs are reducing, the number of wireless connections are increasing along with processing power and cloud storage.

The afternoon session consisted of discussion, examples and roundtables. The role of IoT in the water industry was the main subject of talks, as was the priorities that the industry should focus on if the benefits of this type of technology are going to be captured.

Zhigou Yan from the Advanced Water Management Centre then wrapped up proceedings and summarised the main outcomes of the day. They were: the importance of sharing learnings and demonstrating value and benefits through case studies, be broad with benefits in order to further engage the public, address the gaps in wastewater and the need for low-cost on-line waste water quality sensors.

Talking about the day, Bergmann said: “The Workshop highlighted that IoT and Big Data is how we will keep up with changing customer expectations for service and information, and how it will help us run our businesses better.  IWN’s programs are taking on these challenges too, such as by trialling data integration and visualisation tools for more informed and timely decision making.”

Further reading:  Australia's IoT Opportunity: Driving Future Growth 2018


OSIsoft PI trial breezes past specific water quality analyses benchmarks

A common activity for water authorities is the capture and analysis of water quality metrics.  Compliance with water quality targets is critical and requires capture of file-based data for analysis, which is often done in spreadsheets in a time-consuming and complex process that is not easily shared with a wider audience nor available in real time.

The objective of OSIsoft PI was to show that file-based data can be automatically loaded into the PI System, the specific water quality analyses automatically performed on the data and ‘live’ results easily provided in a web-based dashboard accessible to all authorized users.

The PI System provides many interfaces including for file-based data. Files can be dropped into a folder or emailed into the PI System, potentially directly from a laboratory service provider. The PI Analyses Engine can be configured to execute analyses when data arrives, meaning that important information is immediately processed and available to users. The PI Notifications system may also be used to provide alerts based on configurable criteria such as quality exceedances.

The flagship trial demonstrated that it is able to interface with data sources to collect related data into a single model covering several locations. It’s able to undertake the calculation of water quality metrics using agreed methods provided by Lower Murray Water while performing the backfilling of analyses using all available data.

The trial is able to present data in real time dashboards and PI Collections (PI Vision) were used to auto-generate a dynamic tiled display of water quality data that users could filter by location or any of the water quality data points. Compliance summary displays were created to show at a glance. Note these will be prototypes, users will be trained to modify or create their own displays presenting data in ways that are most meaningful to them.

The flagship trial demonstrated that the PI System can automate the collection and analysis of lab data and present live dashboards showing current and historical performance against targets.

This provides a great efficiency in automation of the otherwise manual process. It also assists with tactical and strategic decision making in terms of meeting targets and analysing causes of water quality issues in real time.

Data & Analytics Program Lead David Bergmann said: “file based data such as that collected for water quality has traditionally sat outside the core business systems, now there is the opportunity to integrate and visualise this data with other operational data.”

 For further information contact the D&A Program Lead -

OzWater abstracts accepted

Intelligent Water Networks (IWN) have had two abstracts accepted by the AWA for the OzWater conference in Melbourne in 2019.

Big Data and Analytics program lead David Bergmann will present a paper on data integration, visualisation and analysis tools. Leak Detection, Condition Assessment and Infiltration lead Dean Barnett will be presenting a paper on the Sewer Access Point Penetration Review Robot, which was developed in collaboration with La Trobe University.

These papers will allow important findings to be shared with the entire industry, and it’ll allow IWN to prove the worth of our programs to industry – which in turn will demonstrate the value IWN has to its members and the wider Victorian water community.






OSIsoft PI trial demonstrates ease of data availability

The objective of the OSIsoft PI trial was to give users easy access to the data they need to make data-driven day-to-day decisions.

 One of the fundamental objectives of the trial was to improve user access to business data.  This is often a time-consuming manual process involving consumers requesting specific data of system administrators or data experts because they either don’t have access or don’t have the knowledge of tag naming or the data structures of source systems.  In addition to the inefficiency of the manual process there is latency in accessing the data so the opportunity to use the information to make decisions in the moment has usually passed. 

The PI System provides both a single source of data access. It organises data from many sources into a single model and removes the complexity in finding data by providing a logical hierarchy that aligns with physical infrastructure or groups similar asset data together.  It also provides a simple web-based tool for users to create displays that are most meaningful to them and to the way they assimilate data.

The Big Data and Analytics solution demonstrated the collection of real time and other data into a single source of truth, intuitive data structures users can easily navigate to find the data they need,

Self-service data visualisation tools that empowered users to find the data they need and build live visual reports to support their day to day decision.

The flagship trial demonstrated that anyone can access the data they need to make decisions independently by providing a simple logical data structure that takes away the complexity of the underlying data sources and schemas. It does this by providing a user-friendly web-based tool which empowers users to build their own displays to see ‘live’ data anywhere and anytime.

Through simplifying access there will be less demand on data experts (who’s time can be redirected to more productive activity) and reduced time to gain information so that decision can be made sooner.

Data & Analytics Program Lead David Bergmann said: “being able to quickly find and understand the information you need, will increase operational efficiencies and lead to better decision making.”

For further information leave contact the D&A Program Lead:


Intelligent Water Networks release program update videos

The Intelligent Water Networks (IWN) have released program updates recorded at the Champions Conference in October 2018.

Big Data and Analytics leader David Bergmann, Biosolids and Resource Recovery leader Mick Hawtin, Energy Optimisation and Power leader John Day and Leak Detection, Condition Assessment and Infiltration leader Dean Barnett all delivered succinct updates.

Scroll down to see them all.

New Collaboration and Knowledge Sharing program lead announced

Michael Thomas from Barwon has been announced as the Intelligent Water Networks’ (IWN) new Collaboration and Knowledge Sharing program lead.

Michael takes over from Yarra Valley’s Tanya Pearson, who led the program since its inception 18 months ago.  On his immediate agenda will be overseeing the digital metering workshop on the 21 November with the support of DEWLP, as well as the IWN Knowledge Sharing conference to be held at Barwon Water in March 2019.

Michael comes into the role after serving as a Champion for Barwon in the Western Region. Talking about his new role, Michael said: “This is a tremendous opportunity to build on my time as an IWN Champion and to make a return contribution to IWN. Through the IWN leadership program and development sessions, I feel I’m ready to step-up’and continue the great work by Tanya and her team.

“In many respect, while 2019 will be a year of consolidation, I’m especially excited to explore new and innovative opportunities that make networking and knowledge sharing easier.”

On this front, IWN would like to recognise Tanya for all the hard work she did while in the role. Program Director Brett Millington was full of praise for the work she did for the program, adding: “Tanya has been passionate about the role of IWN in the Victorian Water industry and the value of collaboration. 

“She saw the need to ensure the important work we are doing is more effectively shared at all levels of the member corporations, and hence the drive to establish this program. Her efforts should be duly commended.”


OSIsoft PI trial proves huge benefits to customers

The objective of the OSIsoft PI trial was to demonstrate that IoT data (from digital meters) in online sources could be assimilated into the PI System and show that value could be added by analysing data and displaying it to consumers and creating alerts based on the data.

Digital meters were trialled during the flagship project using IoT devices connected with the Sigfox radio network. The meters measured water consumption and periodically sent a meter index back to the Sigfox repository.  Current access to this data is challenging and would be done via logging into a Sigfox cloud system and manually extracting the data for external use. This is another example of siloed data being difficult to access and extract value from, and this is an example of the type of challenge this trial was designed to overcome.

The PI System provides an extensible platform, allowing integrators to define their own tools to process data and interact with the PI System components.  In this GTS had developed a connector to the Sigfox back-end database because the data payload of each device needed to be decoding according to each manufacturer’s data model.

The flagship trial demonstrated a cloud-based interface to the Sigfox back end fetching and loading digital meter data into the PI System, analysis of the data to provide current meter read and other useful information. It Installed meter data and alerts displayed on a map, provided notifications based on meter data and was able to make data returned to the local PI Systems for access by local users.

The flagship trial demonstrated efficiency in managing and incorporating IoT data stored in external web-based systems and was able to leverage the digital meter data to provide useful services to customers (such as raising alerts on unusual usage patterns and avoiding bill shock by providing current consumption data). This is a huge benefit.

Data & Analytics Program Lead David Bergmann said: “our customer will value being notified quickly of any leaks or unusual usage – much better outcomes that our current quarterly meter reading and billing processes.”

 For further information contact the D&A Program Lead:

IWN program lead Andrea Pogue presents at AWA event

Intelligent Water Networks (IWN) Edge Technology program lead Andrea Pogue recently presented at the Australian Water Association (AWA) FUTURAMA tech event in Melbourne.

The event was sold out and Pogue made the trip down from Shepparton to deliver her talk, which helped set the scene of the day.

Topics covered included areas that IWN are actively investigating or considering, such as virtual reality/augmented reality, AI, satellite monitoring, remote sensors and smart metering.

It’s encouraging to hear the industry talk openly about a future that involves so many areas that IWN are investigating, and it provides further proof that the organisation is running trials that can provide real value to the Victorian water industry.

Other speakers included figures from the Victorian water industry and associated consultancies.

OSIsoft PI shows complex reporting can be automated and provided as live

The objective of the OSIsoftPI was to demonstrate that complex reporting can be automated and provided as live in an online dashboard.

One of the challenges common to all Victorian water authorities is the requirement to provide a standard report to the Essential Services Commission (ESC). This is typically a time-consuming manual process involving capture of data from many sources into a spreadsheet prepared monthly and submitted to the ESC annually.

In addition to the inefficiency of the manual process the use of the data is retrospective, which means the opportunity to take corrective action to meet targets is gone by the time the report is produced.

The PI System can provide the solution to this challenge as it can be used to interface with data from many different sources, perform calculations on the data and use the data in reports and dashboards. 

Additionally, the PI System provides a plug in for Excel, which allows the data to be downloaded into report files. The flagship solution demonstrated that it could collect available ESC data and key performance indicator (KPI) targets into a single structure, calculate year to date and monthly performance against targets, and provide the automation of report preparation such as auto-generating annual spreadsheet and a real-time KPI dashboard.

However this was a prototype and users were trained to modify or create their own displays presenting data in ways that are most meaningful to them.

Through automation, the reporting process becomes much more efficient - thus reducing human effort and releasing resources to do more meaningful work. By having access to live data, users can make tactical decisions that result in better compliance with targets such as avoiding what may otherwise have been a non-compliance.

The dashboard updated in real time, showing managers how their activity was tracking for the current month and year to date. Moreover, by analysing longer term data they could review current year vs. past years to measure improvement and look for peaks caused by seasonal or other factors so that steps could be taken to avoid unwanted incidents.

Taking a step further towards the digital utility, the data from each water authority may be published to the cloud and accessed directly by the Department for Department of Environment, Land, Water and Planning (DELWP) or the ESC.  Rather than ask water authorities for new or modified reports, DELWP may instead simply describe a dataset to be provided from which they could perform their own aggregations, analyses, run reports and view real time dashboards.

Data & Analytics Program Lead David Bergmann said: “a consistent, automated and near realtime way of reporting will give new insights to water utilities and revolutionise the way we report to stakeholders.”

For further information contact the D&A Program Lead -

Acknowledgement GTS and OSIsoft PI for above content.      

Explained: The architecture of the system and scope of the OSIsoft PI trial

The architecture of the Intelligent Water Networks (IWN) flagship solution by GTS and OSIsoft PI comprised on-premise PI systems at each participating water authority as well as a PI system in the cloud. 

The on-premise systems collected data from local sources, allowed day-to-day client access, tools and interfaces to local systems as well as providing an environment for developing unique site-specific solution components.

The on-premise PI systems published selected data to a cloud-based PI system. It then aggregated data from each participating water authority and provided consistent data modelling, analyses and reporting features as well as feeding calculation results back to the local systems for integration with on premise systems (e.g. creating service requests in local asset management systems).

The areas for improvement in day-to-day activities where data plays a key role were identified through workshops with key stakeholder participating water authorities. 

In particular five common areas of interest were identified and defined the scope of the PI Trial process, these included:

  • ESC reporting

  • Data accessibility

  • Asset performance

  • Water quality

  • Customer experience. 

These will be discussed in future posts.
For further information contact the D&A Program Lead -

2018 Champions Conference was a great success

The 2018 Champions Conference ended on Thursday 11th of October and proved to be a great success for all involved.

Over the course of Wednesday 10th, the Intelligent Water Networks (IWN) Champions were exposed to leadership at the edge by Mike Boyle and Cameron Geddes. Reflections on the Midnight Rambler’s heroic experience during the Sydney to Hobart race in 1999 formed the bones of the sessions, and the lessons learned from that will leave the Champions in good stead moving forward.

Guava Insights then ran the second day and focused the session around organisational anxiety and how that can be reduced in the workplace. With a focus on empowering leaders and decision-makers with clarity, foresight and certainty, the session ensured that Champions had something tangible to take back to their water corporations.

Positive feedback from current Champions was received, and the two days should equip them with further knowledge and skills to make a positive impact at IWN and their respected water corporations.

OSIsoft PI trial presents encouraging summary reports

Green Technology Services (GTS) has a cloud-based data management solution comprising OSIsoft PI hosted on Microsoft Azure and ESRI ArcGIS for data display. 

The pilot aimed to demonstrate aggregation and analysis of data from distributed assets, such as smart meters and sensors, with web-based visualisation of this data. So far, the summary reports have been very encouraging.

It was found that the PI solution was able to interface data from many different sources, perform calculations on the data and use the data in reports and dashboards. An advantage of this is it’s time saving ability, while it will also be able to reduce human error due to its ability to be used for standardised ESC reports.

The trial was also able to demonstrate that PI could provide a single point for data access of real time data from multiple sources and it could also organise and provide self-service visualisation tools. This would provide easy to understand information to more users, which would enable faster and better decision making on issues and assets.

As well as that, the PI systems also showed that it could interface with file based data and live field data such as that for water quality. The automation of data processing, comparison of trends and organisation into reporting dashboards will be a huge benefit to the water industry.

Comparison of data is important, and the Solution was able to excel in this field as well. It could receive data files from external equipment trials such as the Sewer Batt sonar pipe condition assessment technology and compare it to other time-series data and display with geospatial data to demonstrate on a map based visualisation pipe condition.

The PI Solution was able to interface with the backend IoT devices (ie. Sigfox) to load digital meter data into the PI system, and then demonstrated how this could be visualised, and notifications provided.  The trial Solution was also able to demonstrate how internal wastewater flows could be compared with external rainfall data feeds to identify areas of potential unusual inflow and infiltration.

The Knowledge Sharing Hub aims to launch a new era of collaboration

The Intelligent Water Networks (IWN) have played a part in developing a brand new collaboration and knowledge sharing platform.

This bespoke portal, developed under the watchful eye of Yarra Valley Water’s Vincent Halloran, will allow Victorian Water industry staff to contact their peers and engage in open collaborative conversation about IWN projects and programs. The Knowledge Hub allows for media sharing in multiple forms such as video, photos, articles, press releases. This makes it the perfect tool for creating and sharing online content about IWN projects and programs.

Project lead Halloran said: “It’s been an interesting IT challenge for me, but really rewarding to build such a flexible and functional online tool for the IWN. I’m really looking forward to seeing it put to good use over the years to come. The key to the platforms success now will be how well people take this up and use it to upload and share IWN project content in the coming weeks.”

The IWN Knowledge Hub will be launched to the IWN Program Leads and Champions at the upcoming Champions workshop on 10th and 11th of October 2018. Following the workshop, it will be up to the program leads and project managers to upload existing content before the platform is launched to the wider Victorian Water Industry in the not too distant future.

One of the great things about the IWN Knowledge hub portal is its simplicity and user friendly experience. It’s designed to be intuitive with minimal instruction required. Once the portal is live, the IWN champions will communicate further detail on how to access the portal.

Want to know more? Please don’t hesitate to get in contact with



Video: Waternamics explained in three easy minutes

The Intelligent Water Networks (IWN) Waternamics project has been making a splash at Western Water (WW), and now they’ve produced a video about it.

The three minute clips shows the benefits and values from the trial, which has impressed staff and managers at WW.

Waternamics is part of the Big Data and Analytics program run by David Bergmann. It’s the second project to see positive outcomes, although it only officially only ends in November 2018. Watch the video below to see just how effective the trial has been!



IWN come away from the World Water Congress in Tokyo with important validation and learnings

Big Data and Analytics Program Leader David Bergmann was an attendee at the IWA World Water Congress in Tokyo last week and came away from the event with valuable insights and learning for the Intelligent Water Networks (IWN) program.

The workshop on Digitisation of Water – Trends and Opportunities highlighted the problems that are common around the world. Many of the issues talked about have been part of the Big Data and Analytics trials, results of which are to be released shortly.

Water utilities around the world lose around $9.6 billion a year because of non-revenue water. Tom Mills from Xylem believes that the effective use of analytics, a digitisation of water networks and good responses can bring this under control. Predicting leaks and minimising disruption to customers can play a big role in this – again, this is encouraging to hear as it confirms that the IWN Big Data and Analytics program is working towards solutions that will have real value for members and the wider industry.

The developments in AI have made programs like Big Data extremely important. Professor Dragan Savic’s Hydroinfomatics concept makes it clear that prescriptive analytics can improve customer service delivery and cut down response time from days to hours.

Work done in IWN has been echoed around the world and Hideyuki Tadokoro from Hitachi described a ‘system of systems view’ that was similar to the concept proposed within the Data and Analytics program – as did Lars Therkidsen when describing the goals for The Greater Copenhagen Utility (HOFOR). 

Data and Analytics was investigated further by Rebekah Eggers, who works for IBM. Their Digital Twin concept fits in with the working of the Big Data and Analytics program and learnings can be made by studying it.