TIBCO Spotfire Services Training Support in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA

Spotfire is a division of Tibco and the formerly public entity went private in September 2014.

Spotfire is a data discovery and visualization BI tool and from the beginning, its focus was the pharmaceutical drug research domain. The company retains a strong presence in that market and of Tibco Spotfire’s roughly 200 customers, most tend to be in data intensive industries like life sciences, oil and gas exploration and financial services.

The product has built-in predictive analytics, an intuitive design for visualizations and excels at processing very large data sets. One gap was the absence of any report production capabilities, but the acquisition of JasperSoft in 2014 solved that issue and has resulted in a more complete BI platform with Spotfire handling data-discovery, location analytics, and mobile KPIs, while Jaspersoft provides pixel-perfect reporting and embedded analytics.

TIBCO Spotfire Features

BI Platform Features

  • Live Connection to External Data
  • In-memory data model
  • Multi-Data Source Reporting (Blending)

Support in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSAed 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
  • IBM Netezza
  • HP Vertica
  • SAP Hana
  • Teradata
  • SAP

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
  • Predictive modeling
  • Integration with R or other statistical packages
  • Report sharing and collaboration

Report Output and Scheduling Features

Ability to schedule and manager report output.

  • Publish to PDF
  • Output Raw Support in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSAing 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.

  • Location Analytics / Geographic Visualization
  • Predictive Analytics
  • Support in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA for Machine Learning models
  • Pattern Recognition and Data Mining
  • Integration with R or other statistical packages

Mobile Capabilities Features

Support in Riyadh Jeddah Makkah Madinah Khobar Saudi Arabia KSA for mobile devices like smartphones and tablets.

  • Dedicated iOS Application
  • Dashboard / Report / Visualization Interactivity on Mobile

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

Technical resources.

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