Business Intelligence

BUSINESS INTELLIGENCE AND DATA ANALYTICS FOR US FEDERAL GOVERNEMENT

What role does BI plays?

BI addresses the specific business and technical challenges faced by government agencies — including legacy systems, large data volumes, data quality and consistency, diverse sets of users and data security.

  •  Turn data into information that inspires understanding and reduces the manual manipulation of reports.
  •  Empower analysts with user-driven Business Discovery capabilities that enables them to quickly and easily explore data in a natural way.
  •  Aggregate and analyze high volumes of data from multiple, disparate sources.
  • Search across all data quickly to see the big picture and make better decisions to support the mission.

 What is Business Intelligence?

A broad category of software and solutions for gathering, consolidating, analyzing, and providing access to data in a way that lets enterprise users make better business decisions

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Business Intelligence Method

  • Advanced analytics
  • Reporting
  • Mutli Dimensional
  • OLAP-Online AnalyticalProcessing on complex data
  • Mining Visualization
  • Data Warehousing

Business Intelligence trends in

  • Mobile
  • Cloud
  • Social Media
  • Advanced Analytical

Cloud-based business intelligence model DHS can now access business intelligence functionality in a software as a service model via a private cloud, paying only for the resources it uses.

  • Predictive Analytics
  • Visualization/Dashboards Master Data Management
  • The Cloud
  • Analytic Databases
  • Mobile BI
  • Open Source
  • Text Analytics

OLAP

  • Activities performed by end users in online systems
  • Specific, open-ended query generation
  • SQL
  • Ad hoc reports
  •  Statistical analysis
  • Building DSS applications
  •  Modeling and visualization capabilities
  •  Special class of tools
  • DSS/BI/BA front ends
  •  Data access front ends
  •  Database front ends
  •  Visual information access systems

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Data Mining
  • Organizes and employs information and knowledge from databases
  • Statistical, mathematical, artificial intelligence, and machine-learning techniques
  • Automatic and fast
  •  Tools look for patterns
  • Simple models
  •  Intermediate models
  •  Complex Models

Data Visualization

  • Technologies supporting visualization and interpretation
  • Digital imaging, GIS, GUI, tables, multi-dimensions, graphs, VR, 3D, animation
  • Identify relationships and trends
  • Data manipulation allows real time look at performance data

Multidimensional

  • Data organized according to business standards, not analysts
  • Conceptual
  •  Factors
  • Dimensions
  •  Measures
  • Time
  •  Significant overhead and storage
  • Expensive
  • Complex

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What does Data Analytics mean?

  • Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain.
  •  Data is extracted and categorize to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements.

Its broadly classified into

  • Exploratory data analysis (EDA), where new features in the data are discovered, and
  • Confirmatory data analysis (CDA), where existing hypotheses are proven true or false.
  • Qualitative data analysis (QDA) is used in the social sciences to draw conclusions from non- numerical data like words, photographs or video.

Relational Data (Tables/Transaction/ Legacy Data)
Text Data (Web)
Semi-structured Data (XML)

Graph Data
Social Network, Semantic Web(RDF), …

Streaming Data
You can only scan the data once

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