The analytic missing piece

1,274 views
1,308 views

Published on

The analytic missing piece: Quiterian. Something in between reporting and traditional DataMining.

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
1,274
On SlideShare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
2
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

The analytic missing piece

  1. 1. The Analytic missing piece
  2. 2. Reporting and DashboardIs about the pastPredefined - We know what to reportFor all usersDependency on IT
  3. 3. Traditional Data MiningIs about complex statistical modelsIt takes weeks to have a new modelDependency on Mathematicians / Static.Test with small samples
  4. 4. But …what about …?• When we need to analyze on the fly any unexpected new question• We do not want to wait or depend on experts neither IT• We want to do it by ourselves, in a self-service way• We want to get insights (not only information)• We need to anticipate by doing predictions now, easily• We want to integrate and analyze together large volumes of data
  5. 5. Quiterian - Easy Data MiningAdvanced Analytic techniques and predictive Easy to use, for all usersNo dependency on IT neither Mathematicians / StatisticsSelf-Service, no preparation, No predefined, Any Analysis on the flyLarge data volume at very high performance with a light serverTo analyze any no predefined question right away!To get faster and smarter insights to better compete - Churn analysis (which customer is likely to leave?) - Best product to recommend to every customer - Which customer will respond to a marketing campaign?
  6. 6. We need all three analytic toolsFor the predefined metrics For all users For the long term stable models Statistics and Mathematicians For any new analysis Power users, Analysts

×