How to manage complex water network information easily and efficiently.
Everything from basics to more advanced data management operations.
Complete guide for network information management in KeyAqua GIS for water business experts.
All relevant subject areas related to water supply network information management in geographical information solutions covered from simple basics to more advanced data management operations.
Start below to learn more.
When using existing water supply network documentation and other related data sources, it creates endless amount of possibilities to improve water company's efficiency and water quality. Before these benefits can be achieved, something needs to be done first.
Network documentation and other related information needs to be accurate, up-to-date and high quality if greater benefits are wanted. This page covers topics from basic data import and sharing to more advanced operations like interfaces and data quality improvement.
Below you can find topics starting from the basics like how to import data and how data management works. Also additional information of what kind of services are available and what aspects needs to be considered when planning data management operations.
Before any benefits by analysing data can be achieved, existing network documentation needs to be imported to KeyAqua GIS using different tools and methods to make further data management operations possible. Existing data can be imported manually by KeyAqua user(s) or automatically by service provider, depending amount and quality of available data and what kind of end result is wanted.
To find suitable and cost-efficient way to handle this import project, active discussion between network owner and service provider is needed to define most cost effective method based on current need and data. Service provider needs to analyze existing documentation before recommendations can be given how to import.
Data can be manually imported / documented by network owner using KeyAqua's own documentation tools. This method is suitable if amount of data is relatively small or quality of data is so low that automated import logic cannot be used. If the amount of data is big and quality high enough, service provider can use different special data management tools to create more automated and cost efficient import methods. In this case biggest amount of work is to create import logic for automation based on current documentation.
This blog post covers most important aspects to plan and complete data import project and achieve high quality end results for further data analysis. After data import is ready, it is possible to start analysing the data using KeyAqua and achieve long and short term operational benefits. If data quality is still not high enough, service provider can offer several different data quality improvement services which are covered blog post "Improve quality of documentation" below.
So now all existing network documentation is imported to KeyAqua GIS system, but quality of data is not high enough to achieve desired analysis results. What's next? Next step is to analyze existing network information status and find out how data needs to be improved and what can be done. Based on analysis, service provider can create plan and tasks for data quality improvement project. Check out how to improve data quality here.
When starting to data improvement, first step is to make data analysis of existing documentation, which is used as a basis of future improvement plan and actions. Service provider can create automated data checking tasks and also execute manual data analysis to understand current situation. End of this analysis, report is created to describe current situation of network documentation and suggested actions to improve data.
Second phase after data analysis includes data improvement actions itself based on report results in phase one. This can include several manual and automated improvement tasks where the goal is to remove errors, add missing information and make it coherent, improve network connectivity and make existing data more useable for advanced analysis.
In addition to existing documentation, water company can gather all data located in different systems like CRM, SCADA etc. and use it more efficiently. In this case interfaces between different systems can be implemented to ensure automated data flow. Next topic below called "Interface with KeyAqua" covers aspects how to interface systems and move data to have even better analysis results.
Now you have all existing documentation imported to GIS system and data quality improvement project is ready, but what about other related water company software solutions and information inside those systems? Is there any benefits connecting different systems like CRM, SCADA etc. with interfaces and get even better and more accurate results to plan investments and do everyday operational network maintenance? Amount of available data in all systems and operations is often times huge so what should be done next to move forward? Deeper insights regarding interfaces can be found here.
First of all, interfacing systems without understanding what kind of end result is wanted does not create good results. First things what needs to be done is to describe goals and use cases what is wanted. Water company, service provider and other stakeholders can use this document to define and implement most cost-efficient and suitable way to connects different IT-systems.
Many utility companies have different needs and different level of data available so blindly implementing just some integration does not provide good end results. Usually there is tens of different ways to implement integrations and many times out of the box solutions are not always most beneficial and cost efficient. They can be but it is good to check before implementation. It is always important to have active discussion between stakeholders so that everybody are aligned and understand possibilities and limitations of integrations.
When systems are connected and all necessary information flows between software solutions, deeper data analysis can be started. Next topic below called "Analyze network information" covers aspects how to analyze network information to get tangible benefits out of the data.
How to use existing information to make better and more systematical operational maintenance plans and future investments decision? Below we shed some light to this topic.
Now when all high quality information is in place and necessary systems are interfaced to ensure data flow, more in-depth analysis phase can be started to achieve tangible benefits. It is important to remember that only high quality data can lead to high quality results. More data creates more possibilities to find places to improve in all water company's operations including everything from network maintenance to customer satisfaction.
Information can be analysed within KeyAqua GIS using system own tools and methods to understand better water supply network condition, challenges and how to focus available resources cost efficiently. See more detailed information how to use water network information for maintenance.
We also talk about how to use network information to make good long term maintenance planning and investments through network analysis. Read our blog post better water network investments through analysis.
Network information can be also exported manually or sent automatically to third party system to make even more advanced data calculations. One example is hydraulic modeling where behaviour of the network can be calculated based on different scenarios.
It is always good to share data and results within all internal and external stakeholders to gain even more insight and benefits. Read more how to share data below.
When information and analysis results can be found easily in one system, it is much easier and faster to share all this information within internal and external stakeholders. When everyone has access to these results and anyone can update documentation when necessary, lot of time is being saved. No need to keep searching and sending documentation and files between water network professionals.
When sharing data, information security plays significant role. Data must be shared and managed in controlled way. In KeyAqua different features can be used to limit information visibility between users. Administrative user can define roles, privileges and what information people have access to. Read here more how to share data.
When creating controlled and secure way to update and share information, all water network documentation, reports and analysis results are available for everyone, everywhere when needed.
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