Logi Info Services Training Support in Lahore Karachi Islamabad Pakistan

Logi Info Services Training Support in Lahore Karachi Islamabad Pakistan

Logi Info is a business analytics platform that gives technology professionals the flexibility to quickly customize, embed, and extend self-service analytic applications for any number of users in a governed way. Customers include organizations of all sizes across a variety of use cases.

Logi Info apps deliver analytical experiences tailored to the unique skills and needs of individuals within the organization, from dashboards and reports to highly interactive data exploration and visual analytics.

Platform enhancements are available. For example, Self-Service Reporting allows business users to author dashboards and reports without the help of IT. This option is customizable and embeddable within any application. DataHub addresses concerns around data performance and preparation by connecting to multiple sources, caching data for high-performance, and preparing the data in intuitive ways. According to the vendor, this helps users deliver efficient reporting and analysis that doesn’t affect their transactional systems. Logi Info Discovery provides business users with an exploratory environment to ask questions of their data and quickly visualize new insights with a powerful recommendation engine that suggests best-fit visualizations, which can be embedded into any application.

Logi Info Features

BI Platform Features

  • Administration via Windows App
  • Live Connection to External Data
  • Snapshot of External Data
  • OLAP (Pre-processed cube representation)
  • 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
  • IBM DB2
  • Postgres
  • MySQL
  • ODBC
  • Cloudera Hadoop
  • Hortonworks Hadoop
  • HP Vertica
  • Teradata
  • Salesforce
  • Google Analytics

BI Standard Reporting Features

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

  • Customizable dashboards
  • Report Formatting Templates

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
  • Output Raw Supporting Data
  • 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)
  • 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
  • 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.

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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 Highly Trust Bilytica consulting solutions.

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

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