aquarela vortex big data
TRANSCRIPT
Vortex Big Data
Marcos SantosJoni Hoppen
Who are we?
Who are we?
Where are we?
ACATE Innovation Center – Florianópolis Santa Catarina -
Brazil
Big Data Market
Big Data Market
Vortex Big Data
From transactional data such as: credit card, sales, logistics and others. Aquarela Vortex Big Data determines the optimum market segmentation for each context.
Results
• New business and management blind spots discovery,
• Niche market identification,• Key business prioritization,• Optimization of market and production
costs,• Precise market map for investment.
What to expect?
• Discovery of patterns and blind spots management (insight generation)
• Increase of customer’s profitability• Increase user’s conversion rate (more
sales)• Optimization of resources invested in
marketing• Optimization of operating resources• Data-driven discovery of new business
opportunities• Automatic profiling finding out who are
your main customers, voters, employees and others)
Competitive advantage
What we have that IBM, SAS, EMC2, Accenture and Gartner don’t?
Competitive advantage
Iris setosa
Iris versicolor
Iris virginica
Competitive advantage
Competitive advantage
The use of this data set in cluster analysis however is uncommon, since the data set only contains two clusters with rather obvious separation. One of the clusters contains Iris setosa, while the other cluster contains both Iris virginica and Iris versicolor and is not separable without the species information Fisher used. This makes the data set a good example to explain the difference between supervised and unsupervised techniques in data mining: Fisher's linear discriminant model can only be obtained when the object species are known: class labels and clusters are not necessarily the same.[5]
BenchmarkingAlgorithm Results
•CobWeb 2 species•DBSCAN No species•FarthestFirst 2 species•FilteredClusterer 2 species•HierarchicalClusterer 2 species•MakeDensityBasedClusterer 2 species
•OPTICS No species•sIB 2 species•SimpleKMeans 2 species•Xmeans 2 species•EM 5 species
BenchmarkingAlgorithm Results
•CobWeb 2 species•DBSCAN No species•FarthestFirst 2 species•FilteredClusterer 2 species•HierarchicalClusterer 2 species•MakeDensityBasedClusterer 2 species
•OPTICS No species•sIB 2 species•SimpleKMeans 2 species•Xmeans 2 species•EM 5 species•Aquarela Vortex 3 species
Another example (visual dataset)
5 segments
Their 2 best results are not precise in 2 dimensional analysis (x, y)
7 segments 6 segments
Aquarela Vortex
Precisely 5 segments
Thank you!
For more information visit us at
www.aquare.la