Adam Selipsky
61,000 customers in 100+ countries
Data Myths - created to replace the unknown and
create reasons for what happens
#1 AI will replace the analyst. Actually AI is
likely to assist the analyst. Tableau is smart software. Drag and drop of
Clusters and Trend. Natural Language Processing will take out some of the
technical barriers.
#2 Data is only for the analysts. More data
programs in Higher Education. 800 million knowledge workers. Excel used to be
taught in university, now school children use it. Tableau aiming for the same.
#3 Data governance means no. Data is valuable so
needs to be protected. But that’s the old model - the bottleneck has been
removed. Governance should means secure enablement.
Honeywell deals in human safety. It needs to have
appropriate data ready at appropriate times. Giving multiple environments with
clear transitions between them helps to manage creation at all levels. 20,000+
users within two years as the right mix of options gives governance and
flexibility.
#4 There can be one, perfect source of truth.
Innovation is so rapid that you can predict the different sources and
combinations of these. We live in a world of many sources of truth. We have to
embrace that. Tableau invests in all of the flexibility that you need. Go past
the hype and try the tools.
Francois Ajenstat
Myth - BI platforms take power away from the
people. Often designed for specialist. Tableau focuses on people.
100+ features added in Tableau over the last year.
50+ came from the community.
10.5 in beta today
Hyper
Linux
Viz in Tooltips
Data Engine
Hyper is the new Data Engine. Tableau Data Engine
was great. But time to scale up. Hyper instant compared to 25 second load where
heavy calculations are used. Extract creation will also be massively improved (3
million rows live SQL) double the speed in Hyper. Hyper doesn’t sort the data
like a TDE. 500 million rows isn’t possible with TDE, Hyper is possible. No
migration necessary - just use 10.5 and it’s there.
Data prep
Still working with existing data prep partners but
not everyone has this - introducing Maestro. Data profiles gives you a sense of
your data. Filter outliers with normal exclude functionality that you find in
Tableau. Grouping through Fuzzy Clustering to sort poorly entered data. Clear
view of the changes made through the transformation. Drag and drop joins and
unions. Very simple join and cleaning of joins. Maestro in beta this quarter
Extensions API
Makes additions in to Tableau rather than Tableau
in to other applications. Dashboards becoming their own applications. Dashboard
Extensions create two-way communication with the data source.
