Product

Comparative

Today's BI and Data Mining Ecosystem

Quiterian starts where traditional and predefined BI systems end. Quiterian goes beyond data visualization tools. Through intuitive Visual Data Mining techniques we make raw data analysis accessible to all business users. This 100% self-service and agile BI solution leaves predefined reporting, dynamic display and drill-down far behind and rises as the right complement of traditional BI tools.

Dashboards & Reports

Visualization tools

Distributing reports and dashboards that are based on a predefined data model to a large number of users.

Visual Data Mining

Discovering the hidden

Analyzing raw data to obtain immediate key business insights through intuitive and fast Data Mining techniques.

Data Mining

Predictive models managed by experts

Accurate predictive models for core and key business issues to be developed by expert Mathematicians and Statisticians.

Examples:

Visualizing sales per region
Margin per product
Cost per channel
Benefit per month/quarter/year
Tracking KPIs, goals and achievements

Customer churn prediction: why are customers leaving? who will leave next?
Which is the best product to recommend to each customer?
Identifying cross and up selling opportunities
How are customers going to respond to a specific campaign?
Customers’ future behaviour

Money laundering patterns
Risk scoring
Risk limit per customer
Fraud prediction

Users:

Occasional and business users.

Analysts, power users and business users.

Mathematicians and Statisticians.

Very good at:

Making reports available to end users on a visual andpredefined reporting and dashboarding environment.

Dynamic analysis of large data sets for immediate key insights. User-friendly, powerful and intuitive Data Mining techniques.

Accuracy on statistical models for core and key topics (fraud, risks, forecasting…) to be developed by expert data miners.

Outcome:

Flexible reports and dashboards.

Fast insights and advanced analytics with large volumes of data.

Accurate statistical and predictive models.

Scope:

Departamental scope. Flexible and visual reporting and dashboarding.

Departamental deployment & corporate scope. Fast predictive models. Immediate reactions to business opportunities.

Corporate and departamental deployments. Core business models and scorings.

Exploration:

Exploration techniques (drill down, dice, slice, aggregate, break down,...) that depend on predefined filters, measures and dimensions.

Exploration techniques: drill down, dice, slice, aggregate, break down, etc. Not limited to any predefined OLAP, measures neither dimensions.

Non-visual programming language.

User autonomy:

Low. Dependence on the IT department to create new charts and reports or to include new data.

No dependence on IT or on data miners. Users self-sufficiency to discover and interpret immediate insights, freely and visually.

None. Dependence on data miners.

Analytics & Engineering:

No advanced analytical techniques. Limited data engineering; data can not be enriched on the fly.

Venn, Pareto, Pivot Tables, clustering, profiling, Decision Tree, forecasting,... and data engineering on the fly (aggregates, expressions, decodes, percentiles, numeric bands...)

Many algorithms aimed at experienced data miners. Data engineering based on expert programming.

Set up time:

Weeks to months. Any new report takes hours to days.

Days to weeks. All analysis can be instantly performed by users.

Months. Any new model takes days to weeks.

Technical features:

Predefined data model. OLAP or in-memory DB technology. Middle to high hardware level required.

No cubes nor OLAP needed. Column-based and in-memory DBtechnology. Large data sets. Light hardware required.

Powerful hardware required.

Complexity / Value:

High / Medium

Low / High

High / High

Well-known vendors:

IBM Cognos, SAP BO, Microstrategy, Tableau, Tibco Spotfire, Qlickview.

Quiterian.

SAS, SPSS, Kxen.