BizViz Analytics Platform Services Training Support

BizViz Analytics Platform is a business intelligence solution that is designed to serve any vertical, and provides a 360° view of a organization’s data. This solution includes tools for creating dashboards, business apps, and geospatial analysis. It is comprised of a variety of modules including: Data Management, User Management, Administration and Plugin Manager.

BizViz Analytics Platform Features

BI Platform Features

  • Administration via Web Interface
  • Live Connection to External Data
  • In-memory data model
  • OLAP (Pre-processed cube representation)
  • ROLAP (SQL-layer querying)
  • Multi-Data Source Reporting (Blending)

Supported Data Sources Features

Data sources that can be consumed by the application.

  • MS Excel Workbooks
  • Text Files (CSV, etc)
  • Oracle
  • MS SQL Server
  • MySQL
  • ODBC
  • SAP Hana

BI Standard Reporting Features

Standard reporting means pre-built or canned reports available to users without having to create them.

  • Customizable dashboards

Ad-hoc Reporting Features

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

  • Drill-down analysis
  • Predictive modeling
  • Integration with R or other statistical packages
  • Report sharing and collaboration

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.

  • Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Location Analytics / Geographic Visualization
  • Predictive Analytics
  • Integration with R or other statistical packages

Access Control and Security Features

Access control means being able to determine who has access to which data.

  • Multi-User Support (named login)
  • Role-Based Security Model
  • Multiple Access Permission Levels (Create, Read, Delete)
  • Report-Level Access Control
  • Table-Level Access Control (BI-layer)
  • Field-Level Access Control (BI-layer)

Mobile Capabilities Features

Support for mobile devices like smartphones and tablets.

  • Responsive Design for Web Access
  • Dedicated iOS Application
  • Dashboard / Report / Visualization Interactivity on Mobile

Additional Features

  • Direct connectivity to Hive, Apache Cassandra, Spark SQL
  • Social media browser – Big Data ETL for collecting/scraping the data from social media & website.
  • BizViz Survey platform
  • BizViz Predictive Analysis
  • BizViz Sentiment Analyzer
  • Advanced visualization – timeseries chart, sentiment chart, etc.

Data is a critical resource for every organization. We depend on data every day to keep records, produce reports, deliver information, monitor performance, make decisions, and much more. The data resource is on par with financial and human resources as a core component of doing business, yet data management practices are often quite casual. Data governance brings the same level of discipline to data management as is typical when managing financial and human resources.

Building a data governance program is a complex process that focuses people, processes, policies, rules, and regulations to achieve specific goals for a managed data resource. Successful and effective data governance depends on clear goals and well executed activities that match governance practices to your organization’s needs, capabilities, and culture. A continuously evolving program is necessary to keep pace with trends such as cloud services, big data, and agile development. This course provides fundamental understanding of data governance concepts and techniques that is essential to start a new governance program or evolve an existing program.

You Will Learn

  • Definitions and dimensions of data governance
  • Key considerations and challenges in building a data governance program
  • The practices, roles, skills, and disciplines essential to data governance
  • The qualities that make good data stewards and stewardship organizations
  • The processes of developing, executing, and sustaining data governance
  • Activities, issues, and options when building a data governance program
  • How maturity models are applied for data governance
  • The importance of adapting data governance for trends such as big data, cloud services, and agile development methods

Geared To

Data quality and data governance professionals; BI/DW managers, architects, designers, and developers; data stewards, data architects, and data administrators; anyone with a role in data governance or data quality management

Technical resources.

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