ReportMiner Services Training Support

Astera’s ReportMiner is data extraction software and includes business intelligence features. It enables users to exact data and integrate it into their company’s database. The data can then be used with operations and business intelligence applications. Some key features include: Automated Data Extraction, PDF Extraction, and Data Mapping and Export to Any Destination.

ReportMiner Features

BI Platform Features

ETL Capability

Supported Data Sources Features

Data sources that can be consumed by the application.

MS Excel Workbooks
Text Files (CSV, etc)
Oracle
MS SQL Server
IBM DB2
Postgres
MySQL
ODBC
IBM Netezza
Teradata
Salesforce

Report Output and Scheduling Features

Ability to schedule and manager report output.

Output Raw Supporting Data

Data Discovery and Visualization Features

Data Discovery and Visualization is the analysis of multiple data sources in a search for pattern and outliers and the ability to represent the data visually.

Pattern Recognition and Data Mining

Additional Features

Extraction of data from electronic or printed reports
Extraction of data from spool files (from iSeries, AS400 reports)
Automated name and address parsing
Data extraction from PDF forms
Data extraction from other unstructured data sources

The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution.
Realizing benefits is challenging. With many moving parts—infrastructure, technology, data, integration, analytics, applications, metrics, reports, dashboards, scorecards—putting the pieces together in the most effective way is difficult. Learn the basics of BI from end to end, with special attention to two of the most important factors for BI success: planning and collaboration. You are most able to chart a course for BI success when teams and stakeholders share common concepts, use consistent terminology, and contribute collectively to the BI vision.

You Will Learn

Meaningful and actionable definitions of BI
Effective ways to deliver BI: Web, mobile, desktop, etc.
Common kinds of BI reporting: ad hoc, published, enterprise, and operational
Performance management principles, including dashboards, scorecards, and KPIs
Business analyst principles, including OLAP, analytic modeling, and data visualization
Advanced analytics concepts for data mining, predictive analytics, and text analytics
Data management practices, including profiling, cleansing, and quality management
Data integration practices, including consolidation, virtualization, and data warehousing

Geared To

Anyone with a role in BI/DW programs who needs to understand the concepts and the full life cycle of BI
BI/DW managers and leaders seeking to increase the value and business impact of a BI program
Business andtechnical people who need to work together to implement BI
Teams that need to develop a common base of concepts and terminology for BI