qiware - one-click data mining - datasheet

7/27/2019 QIWare - One-Click Data Mining - Datasheet

1/5

About Forte WaresForte Wares is a member of Forte Consultancy Group, aleading analytics-driven management consulting andsolutions group, providing new marketing analytics-relat-ed product and service bundled solutions for companiesthat cannot avail of the high budget, difficult to imple-ment, exhausting to maintain analytics-related offeringsin the marketplace.

About QIWare

BENEFITS CAPABILITIES FEATURES

QIWare by Forte Wares is a rapid analytics solution thatunites the power of ETL with data mining. Designed withthe adaptability to suit companies in a broad range ofindustries, QIWare expedites and simplifies the process ofpreparing data for analysis. Automating the end-to-endprocess, QIWare further delivers interactive, agile tools tohelp users when mining prepared data.

QIWare helps companies in:

Key Product Features & Benefits

| WARE DATA SHEET

QIWare is an agile analytics solution

that delivers a complete suite of

capabilities to support end-to-end

data mining cycle. Simplify data

preparation and modeling while

increasing business productivity,

minimizing human error, and

significantly improving usability.

Quick Insights Ware

Cost-efficient, all-in-oneanalytics solutionIncreased efficiency andbusiness relevance whenbuilding analytical modelsDrastically reduced datapreparation time for

modelingMitigated chance of humanerror

Use any flat file or databasetable as a sourceSummarize and build datamarts for analysis in just afew clicksRapidly build predictive anddescriptive data mining

modelsSchedule data preparationand scoring for routine runsSeamlessly import and usethird-party data miningmodels

Business-driven model development

paradigm

Fully integrated and searchable data

and model dictionaries

Improved data organization using a

systematized task-oriented approach

In-DB processes and DB-based

performance & scalabilityAutomated dependency tracking from

data sources to model scores

Effective Segment Management

Proactive Customer Retention

Customer Value Maximization

Targeted Cross / Up-Sales

Profitable Risk Prevention


2/5

The average analytics team commits 15 to 20 percent of their time developing models for projects, with the rest oftheir time invested on pre- and post-processing activities, according to recent surveys. Of those activities, datapreparation mandates 50 to 80 percent of that time and effort, an activity most prone to human error.

But QIWare streamlines and automates the entire process, reducing personnel demands and cutting analytics data

mart preparation processes to just 10 percent. So 40 to 70 percent of personnel time is freed to concentrate onmore important model development tasks that can enhance and expedite results.

With its unique Auto-Mart feature, QIWare

can produce hundreds of data columns

from just one entry without ever having to

write a single line of code.

QIWare supports Clustering, Decision

Trees, Linear and Logistic Regression,

Decision Lists, and K-Nearest Neighbor

Search as built-in algorithms for

modeling. QIWare can also incorporateKnime tasks as part of its data flows.

QIWare was designed by a team of data mining experts, each of whom brings more than a decade of experience inlarge-scale customer analytics projects. Our expertise spans a dozen countries and a full range of industries. QIWareis a robust, real-world solution built for real-world business problems with real-world business constraints. Theno-nonsense data mining solution delivers all of the functionalities leading organizations demand from data

preparation through assessment and evaluation within one easy-to-use interface. Gain superior agility andefficiency plus the ability to integrate with Knime to add more than 1,000 additional functionalities.

No-nonsense

data mining

Cut preparation time

by 40 to 70 percent


3/5

Most data mining tools and algorithms leave businesses with little control over what they do aside from variablesselection. As a result, it can be challenging to get buy-in from business units for new models even when thestatistics make perfect sense. But QIWare helps you overcome this obstacle by making business insights an integralaspect of model development, by letting businesses define the importance of different inputs, and by manually

guiding the tool with business hypotheses.

QIWare assigns weights to variables in

solving business problems like

Segmentation, so more important

variables prevail. Interactive decision trees,

decision lists, and regression models are

also available for business hypothesis

driven prediction.

QIWares unique analytics metadata

management feature prompts users to

provide descriptions for variables, data

tables, and models for future reference.

Segment names and profile definitionscan also be included after a clustering

exercise.

It can be next to impossible to track which data source includes which variables. For example, does the variableComSpend stand for cost of communications to the customer, amount a customer spends with the competition,or revenue from computer sales to the customer? This can be even more exasperating for large-scale projects witha multitude of data sources and thousands of columns. Six months after a data mining project is complete,

regardless of how well structured variable names are, most of us forget definitions and calculation steps for modelinputs. Thats why QIWare incorporates a convenient data dictionary building process right into each datapreparation and modeling phase. When you use QIWare, all terms can be safely recorded for future reference. Noconfusion. No worries.

Data dictionary,

included

Statistics meets

business


4/5

Analytics teams looking to keep segments and predicted measures up-to-date are often challenged withautomation of data mining models for monthly execution. More often than not, monthly scoring activities areconducted manually, boosting the probability of human error and inefficiencies, because automation isunavailable, too expensive, or too difficult to set-up. But QIWare gives organizations easy-to-use, built-in support

to automate all associated tasks from data preparation to scoring and results export.

QIWares data flow feature lets users

line-up tasks for sequential execution.

Schedule data flows to run just once,

every day, every week, or every month at

predetermined times while

automatically logging events during

execution.

QIWares unique dependency view

provides an up-to-date graph of

relations between inputs, tasks,

and outputs to ensure traceability.

Unlike ETL tools, most data mining solutions available on the market lack the ability to trace input-outputdependencies between data sources and tasks. This translates into unwanted and unexpected consequences, withno effective means for understanding the outcome when a variables calculation is altered. But QIWare puts you incontrol by automatically tracing data lineage from the initial source through the final model scores, which are

always available to the user.

Take control of

the complete data flow

No-frills scoring

automation


5/5

QIWare provides all of the components you need to manage business analytics along with the extensibility tointegrate with third-party tools. So you can expand your options or the capabilities of existing in-house datamining solutions. Easily integrate with Knime data mining solution and enjoy more than 1,000 tasks availablewhile still managing data flow through QIWares familiar interface.

Integration means users may also import existing data mining models developed in any solution supportingPMML standards. Numerous solutions support PMML including SAS, IBM, KXEN, and R.

The Knime task feature offers the ability

to import Knime workflows as actions

into QIWare.

With its all-in-DB storage mechanism, QIWare outputs can be easily integrated with existing business intelligenceand campaign management platforms to streamline reporting and list management.

Simplified reporting and

list management

Integration with

third-party tools

QIWare is packaged with Excel-based

dashboards and list management forms

to support organizations seeking a more

agile and user-friendly reportingsolution.

qiware - one-click data mining - datasheet

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