Widget Working View – new levels of flexibility in analysing your data

Maximising a Widget is great for analysing data in detail but we’ve always wanted to give users more flexibility. Widget Working View is a step change in platform capability to give you instant analytics, improved collaboration and visualisation flexibility.

We believe Widget Working View (WWV) will optimise how you view, analyse and interrogate your data.

Pan & Zoom has been enhanced to be much more responsive and interactive. As you’ll see below you can Pan and Zoom on graph widgets using the buttons in the top right of the screen; you can drag to zoom in on an area or zoom in and then drag the chart around.

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Maximising the Widget puts you straight into Widget Working View. You can zoom using the mouse scroll wheel, drag to zoom or just zoom into the centre using the menu items. Once zoomed you can drag the chart around to find the data you want.

You can also quickly interrogate your data and query any anomalies at the tap of a button. The Config tab in the right hand panel allows you to configure the Widget to your needs, choosing different chart types and series; Scatter, Line, Column and Area charts can be mixed and matched.

You can also enable or disable a series simply by clicking on it.

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Using the Widget Configuration to change the mode gives flexibility. For example if you have cost data represented, you could use Widget Configuration to show total costs, costs for a specific period, variable costs only or costs for a specific plant.

As you’ll see below adding a note on a range in a chart is more efficient so any comments you make will show up immediately to anyone actively viewing the chart.

If a Widget is a Publication, then there’s a handy Version History panel enabling you to instantly view previous versions of the Widget.  You’ll see who made the changes and can revert to a previous version if required. If you would like a tutorial on how to use Version History please Contact us and we can arrange a 1:1.

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

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How to get a dedicated Sabisu cloud server

We’re really pleased to bring you an exciting new feature which enables you to request your own dedicated Sabisu server. Using Amazon Web Services we can implement your new server within 24 hours of your request.

As we described in our recent blog post there are some great reasons for implementing a dedicated cloud server:

  • Hosting complete implementations of Sabisu for genuine Software-as-a-Service
  • Rolling out very fast proof of concept implementations
  • Sharing enterprise data with third parties
  • Aggregating information from lots of different sites into one place
  • Rapidly scaling to take on more, perhaps remote, users

In addition a cloud server can be located in your region to reduce any network latency effects.

It’s very easy to request a new server; you’ll find this new feature located in the drop down menu that appears when you click on your profile icon in the top right corner of Sabisu.

From here select “Request New Server” and complete the form.

One of our team will then be in touch to complete your request. If you would like more information about our dedicated Amazon Web Services and how they can improve your data, please Contact Us.

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

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Global reach, local performance – an example of Sabisu in the cloud

Here at Sabisu we’ve been using the cloud since the first design concept in 2010. We use our own private cloud, Microsoft Azure and Amazon Web Services. Excluding development and QA environments, we use the cloud for:

  • Hosting complete customer implementations of Sabisu for genuine Software-as-a-Service
  • Rolling out very fast proof of concept implementations
  • Transmission of data from within the enterprise to third parties
  • Acquisition of enterprise data
  • Centralised distribution of updates to Sabisu servers

An example of how we use the cloud might be a customer with a large operation or project who needs analytics and reporting capability quickly.

With Sabisu we’d provision an initial solution immediately using the existing Sabisu cloud servers and Sabisu Go to rapidly acquire data from MS Excel.

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Sabisu has a number of pre-built solutions ready to go. We choose the appropriate solution for the customer and Sabisu configures the reporting structure, pages, users and administrators.

As end users start to get into the application, we need to think about scale; perhaps hundreds of users, terabytes of data or heavy processing demands. Or the customer may want to demarcate their data, or a portion of it.

This is relatively easy. We have 4 standard Sabisu cloud infrastructures to choose from; small, medium, large and extra large, each with normal or high availability versions.

Let’s say the customer is:

  • Based at an oil field in California
  • Ramping user numbers from 20 to 100
  • Staying with SaaS
  • Up to 30 users will upload project data every day
  • Requiring 99.9% availability

Ramping from 20 to 100 users would be covered nicely by a ‘medium’ Sabisu standard infrastructure, with key services are separated into dedicated server instances to ensure performance.

Uploading project data daily represents no challenge. Even if large Primavera XER files were to be uploaded frequently, the volumes and velocity of increase is relatively low – Sabisu is designed to deal with high volumes of real-time operational data.

One of the great things about the cloud is that we can spin up servers anywhere in the world – in this case a north California solution would be well positioned to minimise network latency. The Sabisu infrastructure in California would be seamlessly integrated into the Sabisu network and users would be largely unaware of its location.

Finally, with 99.9% availability required there’s no need for the high availability option, which would increase costs but give 99.99% guaranteed and 99.999% likely availability.

So the requirements above would map to:

  • North California servers & virtual network
  • Standard ‘medium’ Sabisu infrastructure
  • No special resilience requirements (i.e., load balancing, redundancy, failover)

With standardised infrastructure the Sabisu team can provision a new dedicated nfrastructure in a very short space of time – it’s sufficiently easy that we’ll soon be automating it entirely as part of solution configuration.

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

 

 

 

 

 

 

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Sabisu Chronos: Time Flies – Capture It

This week we are excited to release Sabisu Chronos. A handy tool for effectively recording your time. You can now account for every second of the working day and bill your time – or ensure you’re being billed – accurately. Whether it’s an accurate breakdown of time, operational or project costs you will benefit from seeing exactly where your time is spent.

If you’d like to get access to Chronos or would like further information contact us here.

It’s easy to assign projects to customers and break them down by phases/sprints:

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The handy calendar makes it easy for users to add/update tasks:

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Approve time sheets to check for accuracy and reject any discrepancies:

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Generate reports for invoicing and send your customers an accurate break down of work:

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

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Sabisu Workplace Management

This week we are pleased to present the eagerly anticipated Workplace Management. You now have the ability to rename and delete existing Workplaces. This will enable you to organise your Workplaces more efficiently and optimise the use of your current pages. See the handy video below to see how you can delete and rename Workplaces.

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Sabisu Workplaces are a great way of organising lots of related Tabs into one place, e.g., all pages relating to a particular project or process. You will no longer need to scroll through numerous Tabs trying to find the ones you need.

Sabisu Workplace is simply one place for all related data to be aggregated. As always in Sabisu it’s data-oriented, prioritising situational awareness through analytics and visualisations, supported by narrative and workflow.

Wherever data is to be displayed, edited or communicated to users, the Workplace is where this is done.

Workplaces

What Else is New?

We have also added Story Page Templates which help you set up new pages for your Sabisu Workplaces. They guide you with best practice for different page types; what might be expected and the how Widgets should be placed on those pages.

Pages

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

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Transform your Data with Sabisu Analysis

We are pleased to present some exciting new changes to Jidoka in the form of Chita, Sabisu’s analysis ‘sandbox’. Several new charts have been added making it easier to analyse your data and share that analysis with others.

Chita can take data directly from Data Historians such as Aspen Tech IP21 and OSI Soft PI enabling you to view and interrogate it as you never have before.  Chita can show you patterns, trends and anomalies in the data you may not previously have been aware of. Not only can it show you current trends; it can predict future trends which you can use to plan and optimise future production or analyse past production.

If you’d like to get Chita or would like further insight into how it can revolutionise your data please contact us.

Introducing Dynamic Time Warping

Dynamic Time Warping (DTW) provides a method of aligning two time series in an irregular way.

The time series can be stretched in some parts and compressed in others to achieve the best match between the two. The chart background shading shows when either curve progressed more quickly than the other, or both curves progressed at the same rate.

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Welcome Curve Alignment

Curve Alignment or Linear Transform as it is also known is the most common method of aligning two time series. One curve is transformed to fit the other as best as possible, with the Shifts and Scales used in this transformation describing how this has been done. In Sabisu the second curve is transformed to fit the first.  In the chart below TDPM:2652 has been scaled to 16% of its original size and shifted to 12 hours later than it originally was.

Curve allignment

For example, if you produced 100 tonnes of product last May but this May you only produced 50 tonnes, Curve Alignment could show that production shifted and full production started later (or earlier) or if the data is stretched it could show that you were producing at half the rate of last year.

Statistics Added to Basic Data Chart

The Basic Data Chart gives you a “normal” view of a tag from a data historian, for further analysis you can use the other Sabisu Charts to get a more in-depth look at your data.

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Statistics have been added into the sidebar for the basic data view. These show details such as the current deviation, the change of value over the visible period, the average and the standard deviation. Help text is also available in the side bar for more complex algorithms, with descriptions of the analysis that has been performed on a particular chart. You can also select a range of data on any chart and zoom in to get a better look at what occurred.

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This analysis capability is available for all data; project and operational.

With these changes we hope Chita will help you analyse your data more effectively to improve production rates, quality, identify best practice, reduce costs or control risks.

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

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Pan & Zoom with Widget Working View

This week we are excited to share with you a new feature aptly named Widget Working View, which provides an easy way to quickly interrogate data in detail, annotate it and efficiently share commentary with your colleagues.

Widget Working View is automatically available when you maximise a widget, with all the new functionality clearly shown in a side bar; annotations, data statistics and so on.

Opening the Working View

On viewing a page with a widget displayed upon it you need to maximise the widget by clicking on the Full Screen Widget Icon which appears when you hover over the widget.pic 1

When the widget has been expanded you will see an arrow icon, clicking this will open the Widget Working View.

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For General Widgets you will find the Notes tab which enables you to leave notes against that particular widget.

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For widgets displaying charts you will able to see statistical analysis for the displayed data as well as the Notes tab.

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Pan & Zoom

We’ve also made several improvements to Sabisu charts which includes being able to pan and zoom on a chart, adding a note to a specific time period, and a scatter view.

Zoom can be performed by selecting an area of the chart you wish to view in closer detail and then clicking the rectangular icon to zoom in

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Once zoomed in you can use the arrows to pan around the page and the rectangle icons to zoom in and out

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Notes

To add a note to a particular time period you can select the range as you would to zoom in and then click on the note icon to add a note into the Widget Working View

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

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Sabisu Release: Timeline Buckets

This week we’re excited to share some new additions to the Timeline functionality in Sabisu.

The Timeline now helps you decide which updates you need to see, or need to take action on.

Timeline Buckets

On entering the Workplace Timeline or the Community Portal, you’ll notice we’ve added some new items on the left hand side. These are our new Timeline Buckets, which sort updates into handy categories so you can quickly see what’s new.

Using these simple filters you can view what’s important to you and navigate to it directly, e.g., Actions you’re due to complete, or alerts notifying you of anomalous process behaviour.

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Clicking on any individual Bucket will give you a breakdown of the latest updates and changes. Let’s look at each Bucket and what you can expect to see.

Data

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Sabisu collects all your data updates in the Data bucket. You’ll see notifications of widget updates and updates to Sabisu Go publications.

 

Analytics

analyticsThis bucket shows what your data is telling you, such as:

  • Anomalies detected
  • KPIs which have breached their limits
  • Automatic escalations from systems such as Jidoka

Distribution

distributionDistribution will let you know of any Community updates or commitments.
You’ll also see updates to Actions that are visible to your Communities.

Action

actionDriven predominantly from Actions within Sabisu, you’ll see anything you’ve been assigned and is due for completion in the upcoming week. Any Actions which are overdue for completion will also be available here.

Change

changeAggregates recommended or completed changes, e.g.,:

  • Advisories generated by Sabisu
  • Changes to rules or calculations in Jidoka
  • Manual escalations

Interacting with your updates

One of the major new features which comes as part of the buckets is allowing you to interact with any of these updates and navigate to where it’s happening. For example, you might have an Action to view, you can click through to view the full detail in the Actions system. Likewise clicking on Widget updates will take you across into your Workplace to view that particular Widget.

What about Notes?

You’ll know all about Notes: they’re truly multi-purpose, with users leaving Notes against widgets, data points in a graph, parameters/KPIs, Community pages or against Communities themselves.

Therefore Notes appear in the timeline but not under any specific bucket. They’re also directly accessible through the header bar ‘Notes’ item.

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

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What happens when you upload a file in Sabisu Go?

Sabisu Go is a small app that allows you to quickly and easily integrate any and all of your data into Sabisu reports and analytics.

Most of our customers are heavily reliant on MS Excel. It’s a powerful tool but leads to proliferation; lots of conflicting reports means reconciliation is difficult, reports are inconsistent and not credible.

This applies to all MS Excel; from project to process data; from Primavera to AspenTech IP21 and OSISoft PI.

Publishing reports using Go eliminates proliferation, centralising all your reports and their underlying data around user communities.

Every time you publish using Go, automation kicks in to make your life easier – both now and when you come to report in 6 months, a year, or 6 years.

Every time you update Sabisu, this happens:

What happens when I upload an Excel file

 

 

In practice, this results in:

  1. Instant reports
    Sabisu will create default reports automatically. It’ll even add them to a page ready for you.
    Starting as a table, you can quickly format a variety of chart types and share them. The idea is to give you something for nothing; a simple visualisation for zero effort.
  2. Versioning
    Every update is stored in its entirety as a new version.
    Everyone can see the latest update – unless it’s version controlled.
    As soon as you version control an upload, all future updates are also version controlled, meaning you can hold data for review and approval before updating the Sabisu platform for your users.
  3. Data extraction & storage
    Every update is decomposed into our noSQL datastore in its entirety.
    Sabisu stores all of it, just in case you decide way down the line that it’s important, or you want to calculate KPIs using significant quantities of historical data.
    So that’s all your MS Excel spreadsheets stored for eternity.
  4. Calculations & KPIs
    Sabisu decodes your spreadsheet formulae to automatically construct calculations.
    These calculations can then be used to drive visualisations across the platform. Or you can use the analytics capability to build a story around them.
    These calculations will update continuously as the data behind them updates automatically – without your intervention.
    Sabisu will also create the connections necessary to any back-end systems used in formulae within MS Excel, so that when you’re ready to move to a real-time system without MS Excel, it’s ready to go.

Sabisu Go allows you to publish your reports and their underlying data into an easy to use, enterprise grade reporting dashboard.

It solves your consistency, communication and presentation challenges.

Go integrates MS Excel, OSISoft PI, AspenTech IP21 and via ODBC/OLEDB almost any data source.

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

 

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Financial Functions in Sabisu

Many decisions are motivated by cost, and the effectiveness of decisions is often defined by their impact on profitability. Sabisu now provides easy to use functions that can help with finance related choices, such as calculating project/investment feasibility, and determining which new asset option represents the best value for money.

Net Present Value

Net Present Value (NPV) is a method to evaluate the current worth of an investment based on a series of annual cash flows. It is commonly used to evaluate the financial feasibility of projects.

NPV incorporates the time value of money (TVM) into its analysis. This principle describes the greater benefit of receiving money now rather than later, and explains why interest is paid or earned. As an example, if you were to deposit £100 into a savings account for one year it is reasonable to expect that you would increase in value due to interest. At an interest rate of 5% the initial deposit will be worth £105 in one years time (£100 x 1.05). Put simply, £100 received now is worth £105 in one year.

Conversely, if someone promises you £100 in one years time the value of the money right now is not £100, as if you had it right now you could invest it and earn interest (at 5% if we deposit it in our savings account). The value of the money today is £100 / 1.05, which is £95.24.

NPV uses this TVM principle to determine the present value of a set of annual cost/benefit streams. If the resulting NPV is positive, then it means that the investment will add value to the business. If it’s negative then it would subtract value and the project should be rejected.

Investment Opportunity – An Example

Barry is very carefully considering a proposal from a small external company who wish to partner with his firm to produce a new product line. To do this Barry’s firm would invest £10,000 to set-up the necessary machinery, the external company would then manage production and promise £3,000 each year for 4 years.

To Barry this seems like a feasible project, with a £2000 profit after 4 years giving a 20% return on investment. However, he takes it to the finance director for verification.

The finance director immediately spots Barry’s mistake, he hasn’t considered the time value of money. The £3000 that the firm will receive at the end of the year isn’t worth £3000 today, and the £3000 at the end of year 4 is worth even less! This all needs to be offset against the initial investment.

The finance director calculates the Net Present Value of the project using a discount rate of 10% (this is usual, as the discount rate not only accounts for interest that could be gained from a bank, but also other factors such as changes in inflation). The NPV of the project is found to be -£490.40, which means that under the suggested agreement their firm would lose money.

There are, however, many ways in which this deal can be changed slightly to give a positive NPV, making it a good investment. For example, the agreement could be extended by a year, the external company could pay £4000 in year one (or any other year), or Barry could simply ask for a higher amount each year. NPV can be used to formulate these plans, and order them in terms of profitability.

Equivalent Annual Cost

Equivalent annual cost (EAC) is the effective cost, per year, of an asset. It can be used to compare the cost effectiveness of various assets over different periods.

If a new asset is needed there are often different options available. Some will have a smaller initial cost, but may cost more to maintain, or have a shorter lifespan compared to higher priced equivalent assets. EAC can be used to evaluate the cost effectiveness of these different configurations so that the best decisions can be made

Choosing a New Compressor – An Example

A new compressor is needed for a chemical production plant. Two options have been presented:

Compressor A Compressor B
Initial Cost £60,000 £140,000
Lifespan 4 years 9 years
Annual Maintenance Cost £12,000 £7,000

This is clearly not a straight forward comparison. Compressor A is less than half the price of Compressor B, but has a shorter lifespan and higher maintenance costs. EAC provides a method to compare the equivalent costs of the two assets, a discount rate of 5% is used to represent the cost of capital:

Compressor A EAC = £28,921
Compressor B EAC = £26,697

The EAC tells us that the annual cost of Compressor B is lower than Compressor A, meaning that  even though the initial cost is higher, Compressor B is the sensible option.

Sabisu Finance

Here we have introduced some of the new financial functionality within Sabisu, using examples to show where they can be used. Sabisu makes these techniques easy to apply, requiring only the most basic information. This ensures efficient and effective decision support for a wide range of project and budgeting scenarios.

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We’re always interested in hearing from you with any comments or suggestions, feel free to get in touch.

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