Data quality for better analysis

BIRT Analytics is a Visual Data Mining platform that speeds the logical and physical audit of large volumes of data up, regardless of their origin, checking the consistency of the relational model, identifying orphan and duplicated records, etc

BIRT Analytics Solutions for Audit and Data Quality:

Quick integration of data from various sources.
Data enrichment and engineering.
Logical and physical audit of large volumes of data.
Includes techniques such as Data Cleansing, Profiling, Standardization and Validation, as well as Enrichment, Monitoring and sources Matching.

Reliable records:

BIRT Analytics loads and analyzes millions of records instantly with analytical tools such as Pivot Table, Venn diagrams, etc.
BIRT Analytics speeds the audit and cleansing of data up, in order they to be used easily and immediately: it explores, identifies errors and executes physical and logic audit.
Within seconds, BIRT Analytics checks automatically the consistency of the relational model, identifying orphan and duplicated records, assists the standardization of names, addresses, phone numbers, etc.

Total agility:

BIRT Analytics shortens the process of DW or DM’s deployment by providing answers aimed to correct any deviation without needing the definitive development.
Data Profiling, to know how the data are, minimum and maximum values, etc.

Constant correction:

BIRT Analytics allows data enrichment, data engineering with strings’ processing functions, dates, calculations, aggregates, logical expressions, functions, etc.
Sources Matching, extracting clean masters, business rules for new data loads.

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Related webinar available

Ensure Data Quality for Better Business Analysis

Target: CRM, BI, IT and Marketing

Goal:

Present a dynamic alternative for data quality detection, correction, enrichment and assurance, through Quiterian Analytics.

Aimed to:

Responsibles for Business Units in permanent touch with customers.
Responsibles for Data Audit.
Pesponsibles for Technological Areas.
Business Users, Business Analysts, CRM Analysts.

Content:

Data analysis as a key stage to obtain optimum results immediately.
Move from data preparation to their use as reliable and ready-to-be-analyzed information within seconds and with no volume nor performance restrictions.
Live execution of real examples about data quality audit, correction, enrichment and assurance.

Presented by:

Marcelo Arnone, VP Channel Manager of Quiterian

Related documentation available

Instant valuable data [Brochure]

Quiterian Analytics is a 2.0 BI platform that agilizes the logical and physical audit of large volumes of data, regardless of their origin, checking t...

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