Necto TrainingModule 1: Introduction to Necto
Training Plan
Training Plan
End User Training
Introduction to Necto
The Necto Application
Creating New Workboards
Necto Analytics
BasicsBuilding a
Social Network
Analysts Training
Necto Analytics – Advanced Features
Data Sources
Working with KPIs
Administrators and
Developers Training
Necto Architecture
Necto Administratio
n
Installing and Migration
Panorama and Support
Panorama
SDK
Introduction to Necto
Objectives
By the end of this lesson you will be able to:
Describe fundamental BI concepts List Panorama Necto’s advantages over traditional BI solutionsChoose training modules that fit your needs
Agenda
What is BI?Necto Product overviewOLAP Fundamentals
What is Business Intelligence (BI)
Business Intelligence (BI) Overview
• A wide category of applications and technologies for:• Gathering, storing, analyzing, OLAP • Providing access to data (MDX, DAX)• Help enterprise users make better business
decisions
Business Intelligence Infrastructure
• Include the activities of:• Decision support systems• Query and reporting• Visualizations• Exceptions, statistical analysis
BI Applications
Panorama Necto delivers a BI application on Microsoft BI Infrastructure (connectivity
to other BI tools also available)
Necto Overview
Welcome to the Next Generation of BI – BI 3.0
Panorama NectoTM
SELF-SERVICE
RELEVANT
Social Intelligence Engaging platform for collaborative decision making
Intelligent BI Engine
A system that learns to automatically generate
relevant insights by understanding user’s
behavior
Interactive UIAutomated analytics & rich visualization to make powerful BI simple
SOCIAL
BI 3.0: Build Your Corporate Intelligence
Panorama Necto Architecture
Analysis Services Universal Data Connector
and / or
MS SQL
SAP Oracle Flat Files Applications
PowerPivot
and / or
Source, operational
raw data
Modeling, aggregations,
semantics
Intelligence Layer
End User Client
Analytics
Necto Server BI MDX Engine• Business Logic• Administration, security
Reporting Workboards
Social Intelligenc
e
Automated Insights
AIDEN(Automated Intelligence Driving Engine)
SSAS
Automated Intelligence
Bringing Contextual Discovery to BI
People
Discussions & Notes
Data & Insights
Workboards
End-to-End BI SuiteIntuitive & Interactive for Business Users
Complete Web-based Experience
Visuals(i.e
treemaps)
Analytics Social Intelligenc
e
Reporting
WorkBoards
KPI’s
Automated Insights
Office Integration
Demonstration
Value Proposition
Simple, self-service BI for the Business User
More power to the Analyst / the power user
Easy solution to deploy and maintain for the IT
Enable organizations build their Corporate Intelligence
On top of any data source!
OLAP Fundamentals
OLAP – Online Analytical Processing
OLAP (Online Analytical Processing)A class of applications to quickly answer multi-dimensional analytical queries
OLAP Cube Multidimensional set of data used for dynamic analysis
OLAP Analysis Business Purpose
Location
Product
Time
Atlanta
Denver
Detroit
Q4Q1 Q2 Q3
Grapes
Apples
Melons
Cherries
Pears
OLAP Database Components
MeasureRepresents factual data related to a specific business processExamples: sales, cost, profit
DimensionIdentifies and categorizes measuresExample: Location, Product, and Time
OLAP Database Components
Hierarchy: A logical structure that groups dimension members for the purpose of aggregating dataExample: Product Categories
LevelA position in the hierarchyExample: Category, Subcategory
MembersLowest level in a hierarchyExample: PCs, Laptops, Monitors
AttributesDescriptive information about the dimension membersExamples: Color, Size, Weight
Product
Subcategory
Category
All Products
LEVELS
Total Product
Hardware
PCs
Model1
Model 2
Laptops
Software
Server
Client
Word Excel
Thank youAny Questions?
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