The decision pipeline: The shared experience (4 of 6)

This is the fourth post working through the Sabisu decision pipeline. We’ve looked at Data Acquisition, Analytics and Visualisation:


The next step is the reason we created Sabisu; the platform pivots around this question:

“How do you share that story?”

That’s the question that no one else was asking; with data, a story and reports that support each other, how do you ensure everyone has the view they need?

It was looking at the implicit assumptions (data, story, reports) that took us back to putting in place Data Acquisition, Analytics and Visualisation.

This is where most solutions quit. This is where we started.

Distribution is about ensuring everyone has the view they need.

For most of our customers email is the tool of choice; sending an MS Excel file, or a link to a file store. We see a lot of MS Excel documents…with lots of links and macros…that usually only one person knows how to maintain.

Users are often not looking at the latest data. It’s a pain to maintain. Multiple versions abound. It’s absolutely not one version of the truth and often, meetings are dominated by working out if the report is valid, rather than making a decision.

More mature customers sometimes have a URL to a dashboard, which is great. Distribution does not mean sharing a URL to the same view; it means everyone has the view they need.

Sabisu is all about the ‘shared experience’. It’s not a new thing to us; it’s driven platform development for the last 4 years.

In summary the Sabisu shared experience is about:

  • Each user seeing their own view of the situation, with the tools and visualisations they need to bring their expertise to bear
  • Multiple collaboration options – in-line, seamlessly accessible and unified across the platform to ensure expertise is shared
  • User and community autonomy, so that users can control the growth and ensure relevance to all users.

This is all about Distribution, which encompasses easy sharing and always links back to trustworthy data. Everyone sees the same story – even if their precise view might be optimised to their needs.

We wanted to decisions to be made referencing appropriate, current data, rather than not getting made at all or getting made and not sticking. We wanted customers to be debating the decisions, not whether the data was up to date, recognisable, trustworthy or tracking reality.

This takes us to here on the journey:


In the next blog post we’ll look at a key step; once everyone has the view they need, how do you turn that into money?

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