Kyubit Business Intelligence Services Training Support

Kyubit Business Intelligence is software designed for web based OLAP analysis and Dashboard management within the Microsoft technology environment. The vendor says Kyubit allows users to easily create OLAP reports and Dashboards based on SQL and OLAP data. Users can share reports with a team or create subscriptions to receive accurate data at scheduled times. Dashboards based on data from SQL and OLAP databases are quickly designed to present the most valuable information for a particular business case. KPI and Gauges presents visual success metric tools, while charts present data visualizations.

OLAP Analysis with Kyubit Business Intelligence aims to deliver attractive, web based OLAP analysis. Quick product setup, OLAP standard analytic features, visual analysis, reports and analysis subscriptions are key features of Kyubit Business Intelligence software.

Kyubit Business Intelligence Features

BI Platform Features

  • Administration via Web Interface
  • Live Connection to External Data
  • 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 SQL Server

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
  • Formatting capabilities
  • Report sharing and collaboration

Report Output and Scheduling Features

Ability to schedule and manager report output.

  • Publish to Web
  • Publish to PDF
  • Report Delivery Scheduling

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

Access Control and Security Features

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

  • Multi-User Support (named login)
  • Multiple Access Permission Levels (Create, Read, Delete)

Mobile Capabilities Features

Support for mobile devices like smartphones and tablets.

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

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.

Harnessing the power of Bilytica Consulting Services

Seeing and Understanding your data is the key to competitive advantage in this era. See why Industry Leaders Trust Bilytica consulting solutions.

Best practices for adopting secure, governed self-service analytics

Find out how Bilytica advanced analytics allows business users and IT to transform the way they used to see their valuable information.

Industry Leaders Trust Bilytica

Put the most powerful analytics platform to work for your business.

Contact Us

    Menu
    WhatsApp us