Optimise your process workflows with ‘child’ Actions

Until this release, Sabisu Flow has helped you create processes by linking up Actions. They’re simple, easy to create and use.

Today’s release supports steps in the process which require a number of users to execute different tasks. For example, a Risk Mitigation process may require a number of alternatives to be evaluated.

Sabisu helps with this by allowing you to specify that a process Action can have ‘child’ Actions which must be completed.

It is up to the user following the process to decide to create these Actions and the process dictates which Actions can be created.

For example, when using Sabisu Flow to complete Plant Condition Observations a child Action can be raised for rectifying each unacceptable condition noted .

Or the Risk Mitigation process mentioned above may require any number of ‘Mitigation Evaluation’ child Actions to be completed.

To allow child Actions to be created you need to configure the parent Action; select “Yes” for “Allow additional Actions ” to be raised by end-users.

When the Action has been assigned the allocated user can then choose to create and assign an additional Action linked to the parent action.

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Staying on top of licensing in Sabisu

Sabisu is all about self-service and clarity. With users requesting better visibility and control of licenses, it made sense to deliver this the ‘Sabisu way’.

Managing your user licenses is now really easy. We’ve added a new widget to the Community Reports page which shows you how many current Sabisu Licenses you have and whether you’re within the terms of your license agreement.

Every customer has a ‘top-level’ Community, with a hierarchy of Communities sitting underneath, e.g., Poiltry Plc may have many sites, business initiatives or departments. When you purchase licenses they will be allocated to the Community making the purchase, e.g., Poiltry Plc, or a specific site within the organisation.

All users are then rolled up into this licensed entity. So if you have users spread across multiple sites and Communities, they’ll be rolled up into one place.

This one place is at the foot of the community reporting page. If you’re looking at a Community which is licensed by a parent Community, this will be shown, e.g., looking at the Manchester site will show that it’s licensed under Poiltry Plc.

If the report is green it means your licenses match the number of users using the system. If it’s red it indicates you’ve more users on the system than licenses.

While it’s important that all users are licensed for security and support reasons, the platform will not deny access as a matter of course for a temporarily exceeding licensed user numbers. There could be good reasons for a temporary increase in user numbers, e.g., crisis management may require third parties need to be included.

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Community & User set up made easy

At the January User Group our customers requested the ability to better manage their Sabisu users – particularly the adding/removing of users from Communities.

As today our User Group is meeting again, it’s a great time to release the following functionality which will really help all our users.

When removing users, Community Administrators are now provided with the option of removing them from all Communities. Users will only be removed from Communities the current user is an Administrator of. This provides a quick way to remove a user from a number of Communities in a single click.

We’ve overhauled the Community invite process to make it easier to use whether adding single or multiple users. Community Administrators can even invite multiple users to multiple Communities, making Community set up really easy.

When you invite a user, the dialog gives two options: choose a community, or choose a user to copy.

Choosing a Community leads you through a simple dialog where can choose multiple Communities and users.

Copying a user is similar, but you’ll choose the user you want to copy first.

Whether you choose to copy another user’s access across many new users, or simply add the new users to many Communities, the new users will immediately be added where you’re an administrator of the selected Communities.

If you’ve added them to other Communities, the request will go to the appropriate Administrators for approval.

Our Sabisu  User Groups give both us and the customers chance to meet up and share ideas. It also gives our customers the opportunity to influence platform development. If you’d like to get involved then join us for our next User Group on 9th August at The Wilton Centre, Teesside, UK.

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Sabisu Analytics Store now available to all

You may have noticed we’ve updated the analytics section in Widget Working View; everyone now has the new Analytics Store.

Analytics Store delivers a few improvements:

  • De-clutters WWV for all charts so it’s easier to use
  • Allows us to introduce a much wider variety of analytics in the future
  • Allows users to set up analytics that should be shown by default when they build out Widgets using Pipelines
  • Secures analytics so that only certain Communities can use certain analytics
  • Provides a platform for cust0mer developers or third parties to embed their analytics into Sabisu and make them available to selected users & Communities

 

To add the analytics you need, simply go to the Store and select the ones you require. There’s also a handy description to help you choose the right analytic for you.

If you need any more information on which analytics to apply to your data check out the analytics section on the Sabisu Wiki or you can always get in touch to arrange a demo.

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Take control of your data acquisitions

Sabisu has always used SDOs (Sabisu Data Objects) to abstract end-users and developers from the details of connecting to back end data-sources, allowing them to focus on the data and how it is best used rather than the technical details.

SDO creation, editing and deletion has now been overhauled to be easier to use. You can access SDOs through the Data Objects option in the top left Sabisu menu.

Data objects can now be managed to anyone, though certain SDOs are locked down to Sabisu support, or Unit Administrators, who can still edit any SDO on their Unit.

Other SDOs are locked to Communities, meaning a wider number of users will have edit access. Anybody who is in a community that has been set as “Can Edit” in the SDO will be able to edit it.

For example, Process Engineers could set up their own SDO to point to a historian such as OSISoft PI or AspenTech IP.21, ensuring that their Pipelines can then be pointed to the correct place.

Removing the reliance on developers to set up SDOs means data acquisition can be totally self-service when using Sabisu Bridge, Go and Pipelines.

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Who’s on this page?

Collaboration runs through Sabisu’s DNA with features like Actions, Notes, Notifications, Events and Chat.

But how do you know who to chat to? Who can help?

We’ve added the “who’s on this page” feature to show other Community members who are currently on the same page as you.

This means you can immediately start a Chat with them, so you can query any concerns you have about data with someone who is online and viewing the same page.

You can find this information in the page menu under Page Info. You will also be able to see the oldest and newest data (if enabled) so you can keep up to date with the latest changes and ensure any old data is reviewed.

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Image Recognition: Just the tip of the iceberg

Image recognition is one of the most talked about recent technological advancements. The aim is to build systems that are better in perception than people using ‘Deep Learning’, a machine learning technique whereby computers can be taught to accurately identify what’s in pictures faster than ever.

It’s a great application of Machine Learning because users benefit with no configuration or knowledge being required; it’s something that just happens by default, every time, for free.

When you addd an image to an Action or Note it is now automatically tags using image recognition algorithms. This speeds up your workflow by helping others see what’s in an image without having to open it. It also allows images to be reported on, e.g., you could run a report to show all images relating to overhead cables.

With this first deployment of image recognition we are merely scratching the surface on the capabilities this functionality has to offer. The possibilities are endless.

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Action Tracking with Action Reports

Feedback from our User Group in January highlighted the need for reporting in Sabisu Actions so users can track their actions better. We’re happy to oblige.

With  Sabisu Action Reports you get better visibility on the following:

  • What actions exist

  • Why they exist

  • Who owns them

  • When they are completed 

  • Whether they are being completed correctly

When you navigate to Actions within Sabisu you’ll notice we’ve added a new section called Reports.

We’ve created several Action reports so you can see how the Actions you’ve raised are doing, whether they’re overdue and how far overdue they are. You can also track progress, e.g., Actions opened vs Actions closed.

We also added a report to see overdue Actions by Community enabling you to quickly see who the worst offenders are so you can put mitigation in place to ensure the Actions are completed in a more timely manner.

action reports

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Get a better visual on your processes

You’ll have seen that we’ve made significant improvements to workflow in Sabisu, with the Processes feature hooking Actions together into an easy to use flow. To help you differentiate processes from ad-hoc Actions, we’ve added an icon on to Actions that are created as part of process to make them easier to identify.

You’ll notice it on the overview page:

It’s also there when you are viewing the individual action:

Keep an eye out for the next update to Sabisu Processes which will help you identify relationships and dependencies between Actions

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Finding Events with Sabisu Machine Learning

As you’ll have seen from previous blog posts, we’re enthusiastic about the applications of using Machine Learning with industrial data.

Machine Learning identifies features more reliably than other methods with fewer false positives/negatives; ideal when trying to find recurring behaviour which needs early action, e.g., asset failures, golden batches, repeated maintenance, non-conformances, etc.

As Sabisu Machine Learning is nearly ready for general release, here’s an update on what you can expect in the first release.

Training made easy

Machine learning is an ‘umbrella term’ that covers a myriad of Sabisu algorithms and techniques.  They’re all statistical methods which “learn” from data; the more data you have, the better they will perform.

Sabisu makes this easy with Events, which allow users to mark a section of data, e.g., decoke, heat exchanger failure, pump failure, etc.

This provides a library of identified features in your data. It’s exactly what the algorithms need to identify thousands of events at the touch of a button.

Sabisu Event

An Event shown on a Sabisu chart.

After marking the Event, Sabisu will ask whether it should find similar occurrences of this behaviour.

Sabisu will identify every single similar event in the date range you choose. Machine learning ensures that the match is good – we’ve optimised our machine learning algorithms to outperform other statistical techniques.

Event Identification

After an Event has been tagged, you are given the option to find similar behaviour in your data.

Each of these matches is marked as a new Event so you can quickly move between them, looking for similarities or root causes.

All the usual collaboration capabilities are in play; highlight similarities in Notes, allocate an Action to investigate or analyse further, upload files and so on.

How does Sabisu ML work?

To analyse large quantities of data Sabisu utilises cloud technology, seamlessly passing data to our cloud data-lake; a highly versatile & scalable structured and unstructured data store.

Distributed processing is used to to build a model using unsupervised learning (see our previous blog post). This is used to identify past occurrences of the chosen event throughout the entirety of the supplied data. The results of this operation are stored in our distributed cloud data warehouse, allowing Sabisu to display them to you through pipelines, widgets, and events.

EventIdentification Schematic

This schematic shows how your event and historical data are passed from your Sabisu unit to our data lake, through a Sabisu analytics cluster where machine learning is used to identify similar events in historical data, with the results stored in a parallelised distributed data warehouse for rapid access.

What’s next?

This is just the first step.

In beta testing we have real-time event handling; using machine learning to detect when an identified event is about to occur (‘incipient events’) or has just started to occur (‘triggering events’) so that you can take early or pre-emptive action.

An obvious application of this is in the case of asset failures where early warning can be invaluable in reducing downtime and optimising maintenance.

Also in beta is image recognition, so that any images captured during a process can be automatically tagged, e.g., EHSS audit photographs taken on an intrinsically safe mobile device.

Machine learning is also being used to de-noise and clean data intelligently before it’s committed to the data-lake.

Very soon, Sabisu will provide users greater control over how machine learning models are constructed and used with customised data classification to further tune model behaviour.

Machine learning is becoming an invaluable tool to help keep processes running in the best possible way, reducing wastage and maximising quality through the identification of recurring good or bad behaviour as soon as possible.

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