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?