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