Microstrategy si posiziona per Gartner come "Leader" tra le Piattaforme di Business Intelligence. Twinergy ha un team specializzato su questa piattaforma ed esperienze di successo. La sessione ha l'obiettivo di introdurre la piattaforma e descriverne le principali caratteristiche con dimostrazioni pratiche sulla semplicità di uso e progettazione delle soluzioni di BI

1. Microstrategy Business Intelligence
Calendario Seminari online Autumn Edition
19 Dicembre 2011
Luca Giannelli – Business Intelligence Presales

2. Four Unprecedented Megatrends Are Reshaping
Companies, Industries, and Economies
Companies
Industries
Economies
-2-

3. MicroStrategy Enables Companies to Capitalize on these Four
Megatrends
Your
Company
-3-

4. More Sophisticated Systems are Required to Manage Larger
and More Complex Big Data
Large
1,000,000,000s
100,000,000s
#of Users
1,000,000s
f
10,000s
100s
Small
Megabytes Gigabytes Terabytes Petabytes Exabytes
Small Data Big
In 1990, the Largest BI Database was 200GB
In 2011 Kids Upload 200GB Videos Everyday
2011,
-4-

5. Thanks to Big Investments in Performance, MicroStrategy is
the High Performance Leader
BIG DATA
-5- 5

6. We Deliver the Best High Performance Business Dashboards
for Your Decision Making
BIG DATA
-6-

7. Our Newest Tool - Visual Insight - Lets Everyone Explore &
Understand Data Without IT Assistance
BIG DATA
Visual Insight™
30 Minutes with Low IT Involvement
Traditional BI
T I
30 days with High IT Involvement Visual Insight enables end users to explore Big Data and spot
Trends on their own quickly, eliminating the need for IT.
-7-

8. The Fifth Wave of Information Technology
Will Dwarf All Previous Waves
MOBILE
TRENDS
Mainframe Mini Personal Desktop Mobile
Computing Computing Computing Internet Internet
(1960-1980) (
(1980-1990)
) (
(1990-2000)
) (
(2000-2010)
) (
(2010- )
1M Users 10M Users 100M Users 1,400M Users 5,000M Users
Source: Morgan Stanley, The Mobile Global shipments of smart phones & tablets are
Internet Report
expected to exceed that of PC’s & laptops in Q3 2011
-8-

9. Mobile Software Will Replace Everything
that People Write, Carry, and Touch Today
MOBILE
TRENDS
Everything People Write, Carry, and Touch Today
• Cash • Loyalty Cards • Letters
• Credit Cards • Insurance Cards • Memos
• Security Cards • Maps • Newspaper
• Key Cards • Contacts Book • Magazines
• Keys • Diary • Business Cards
• Camera • Family Photos • Junk Mail
• Album • Mp3 Player • Bills
• Radio • Drivers License • Invoices
• Receipts • Data Storage • Sales Reports
• Notes • Watch/Alarm • Financial Reports
• Tickets • Calculator • Expense Reports
Replaced
by
Mobile
Software
-9-

10. Entire Industries Are Being Reshaped
by Mobile Software
TRENDS
MOBILE
TRENDS
Traditional Online “Hijacked”
Retail Retail Retail
- 10 -

11. Companies Need 100’s of New Mobile Apps and Mobile Front-
ends to Existing Applications
MOBILE
TRENDS
Every customer-facing process
E t f i
Every internal business process
Human Resources General Mgmt Sales Force
Hiring Carbon Emissions Lead tracking
Bonuses Hot Desk Locator T&E Tracking
Training Mgmt Employee Info Customer Info
Time-off Request Product Sales Churn Rates
Expense Approval Partner Sales Quotas
T&E Tracking Corporate Events Pipeline
Salary Review Facilities Services
- 11 -

12. MicroStrategy Mobile App Platform Delivers All Three Core
Capabilities of Mobile Applications
MOBILE
Intelligence Transactions Multi-media
- 12 -

13. Over 150 Companies Have Already Developed Apps Using
MicroStrategy
MOBILE
- 13 -

14. Cloud Service Demand is High and Growing Fast
CLOUD
TRENDS
Spending on public Cloud services is growing
S di bli Cl d i i i
6x faster than IT spending generally.
By 2014 31% of net new IT spending
2014,
will be invested in the public Cloud.
By 2014, the total market for public Cloud services
will be
ill $56B, up from just $17B in 2009
u fro 2009.
Source: IDC, June 2010.
- 14 -

15. No Capital Expenditures and Five Year Cost Advantage
CLOUD
No financial risk.
Save millions up front. More project flexibility.
$5
No No No
Milioni
Facilities
Hardware Software Implementation
Risk $4
Operations
$3
Hardware
$2 MicroStrategy
Cloud
No Setup and No Long
Software
No $1
Facilities Configuration IT Process
Application
A lication Application
A lication
Development Development
$0
MicroStrategy Cloud On‐Premises
MicroStrategy Cloud vs. On-Premises
200 User System Over 5 Years
Cost and savings based on MicroStrategy internal model. 200 users, 10 TB warehouse. Actual results may vary.
- 15 -

16. Enterprises Must Embrace the Social Phenomenon Because…
SOCIAL
TRENDS
It’s Where All It’s Where All the It’s Where All the
the People Are Personal Data is Connections Are
Facebook Users Friends Each of 750M People
750M Total Users Connect With
Facebook
Interests Demographic
Attention
Age
62 Min. / Day Gender
Orientation
Marital
M i l
Facebook Traffic Etc.
Events
38% of all Web Page Visits
Are from Links on Facebook
…however, 79% of executives agree that they
don’t
don t understand how best to use social media yet
- 16 -

17. Social CRM is much more powerful than Traditional CRM
SOCIAL
TRENDS
Traditional CRM Social CRM
Setup Cost High Free
Half Life of Data 36 months A lifetime
Maintenance Cost High Self-Maintained
Level of Trust Low High
To replicate Facebook data would take 1.4 million years and cost $240 Source: MSTR Analysis
Billion To map the Facebook social graph would take 550,000 years
- 17 -

18. MicroStrategy Gateway for Facebook: Friendly Intelligence Offering
SOCIAL
Your Enterprise
Harness the Power of Facebook Data and Improve Your Business
- 18 -

19. La piattaforma BI di Microstrategy
Applicazioni BI
pp
Customer Analysis Product Management
• Customer Segmentation • Product Performance Analysis
BI Applications • Customer Profitability • Market Basket Analysis
• Cross-sell / Up-sell • Category Management
Dash- OLAP Advanced Supply Chain Management Vendor Performance
Reporting Alerting • Inventory Analysis Analysis
boards Analysis Analysis • Fulfillment Analysis • Service Level Agreement
• Distribution Cost Analysis • Chargeback Analysis
• Relative Sales Analysis
Business Intelligence Platform Financial Reporting Risk Analysis
Analysis • Risk Management
• P&L Reporting • Portfolio Risk Analysis
• Profitability Analysis • Fraud Detection
• Financial Compliance Analysis
Sales Analysis Operations Analysis
• Store / Geographic Analysis • Productivity Reporting
• Sales Pipeline Reporting • HR Reporting
• Sales Perf. / Quota Reporting • Web Commerce Analysis
ERP Web CRM Data
Systems Systems Systems Warehouse
SORGENTI DATI ETEROGENEE
- 19 -

20. Tipologie di analisi: Complessità Vs Diffusione
Advanced Analysis • Ad Hoc Analysis
& Ad Hoc • Predictive Analysis ANALYSIS
• Data Mining
tivity
• Slice & Dice Investigative Analysis
ytics & Use Interact
OLAP Analysis • Root Cause Determination
er
Enterprise
• Page-perfect Operational Reporting REPORTING
• Pixel-perfect Business Reporting
Reporting • Print-perfect Statements & Invoices
sing Analy
Scorecards & • Operational Dashboards
Dashboards • Dynamic Scorecards MONITORING
• Metrics Management
Alerting &
Increas
• Massive Report Distribution
Proactive • Exception-based Alerts
Notification
Increasing Number & Range of Users
Information Analysts • Business Managers • All Workers • Extranets • Customers
- 20 -

21. Dashboard: Rappresentazione sintetica ed immediata
- 21 -

22. Report Perfect: rappresentazioni grafiche complesse
destinate alla stampa
Print-perfect Operational Reports
• Via Web and Print
• Easy Navigation Through Hundreds of Report Pages
• Parameter Prompting Lets Users Specify Report Content
Pixel-perfect Business Reports
• Created by Business Users, not IT
• Integrated Tables and Graphs
• Powerful Reports for Presentation or Publication
Page-perfect Invoices and
Statements
• On-line Billing Applications
• Statements
• Other Page Forms
- 22 -

23. Analisi OLAP: Analisi investigativa sui dati
Slice and Dice with Drill Anywhere with
Basic OLAP Analysis Advanced Relational OLAP Analysis
Revenue for Laptop Computers
In 2005
At All Stores
Geography
Products
Revenue for All Electronics
In 2004 and Q1 2005
At Stores in the NE Region
Total Revenue and Costs
In Jan 2004 and Jan 2005
At Top 10 Revenue Stores
Single-click OLAP Manipulations
g p Relational OLAP Architecture Allows People To
p
Allow People To Slice-and-Dice a ‘Drill Anywhere’ in The Entire Relational Database
Subset of Data To View It from Many – Across All Dimensions and From Summary Level
Different Perspectives To Transactional-level Detail
- 23 -

24. Analisi Predittiva: lo strumento apprende e crea conoscenza
Analisi predittiva sullo studio Svariate tecniche di
delle serie storiche Data Mining
Achieve Revenue
Stay in Budget
DETERMINE Respond
WHO IS Purchase
LIKELY TO … Defraud
Be Profitable
On Time
Neural Networking, Clustering Algorithms
Networking
Note both Linear Prediction and Seasonal Prediction Lines Tree Algorithms, Multi-variant Regression
- 24 -

25. Notifiche: al verificarsi di un evento sui dati scatena una notifica
Alerts Triggered Based on Reports and Alerts are Sent to the Users Can Get More Detail
Scouring Data from Schedules, Events, or Preferred Device by Opening Attachments or
All Sources Business Rules of Each User Clicking on Web Links
Personalized Information
Radar Continuously
Scours
Sco s Databases
- 25 -

26. Più Canali Interattivi di Analisi
Browser Email Office
Mobile
Desktop
- 26 -

27. Performance: Utilizzo della capacità di memorizzare le esecuzioni
fatte e di caricare in memoria porzioni della base dati
Traditional BI In-Memory BI with MicroStrategy
• D b
Databases periodically reach saturation
i di ll h i • DB activity is smoothed and shifted
ti it i th d d hift d
• User Performance periodically degrades to off-hours
• User Performance is improved
160 Average User
Tempo di attesa
Wait Time (sec)
80 Average User
Workload Workload Wait Time
Caricamento 40 Caricamento
Notturnp Notturnp
100% 100%
20 20
10 10
Tempo di attesa
5 5
0% 0%
0 0
0:00a 3:00a 6:00a 9:00a Noon 3:00p 6:00p 9:00p 12:00p 0:00a 3:00a 6:00a 9:00a Noon 3:00p 6:00p 9:00p 12:00p
- 27 -

28. Facile da usare grazie alla tecnica del trascinamento degli oggetti
- 28 -

29. Interfaccia da subito “familiare” in stile Excel di Microsoft
Merge & Lock
Graph T
G h Types: AutoSytles: Headers: Auto Fit Contents:
100+ Selections • New Preview of 20+ Selections Column / Row • Data Width
• Add Your Own • Browser Window
2
- 29 -

30. Integrazione di più basi dati anche su sistemi differenti
Passo 1
P Passo 2
P Passo 3
P
Isole di BI separate Collegamento fra Isole BI Consolidamento
Fisico dei Dati
Enterprise Enterprise HR Sales Enterprise HR Sales
Enterprise Enterprise Enterprise
DW DW DW
Fin HR Sales Fin Fin
Finance HR Sales Finance HR Sales Finance HR Sales
Dept Dept Dept
D Dept Dept Dept Dept
D t Dept Dept
D
- 30 -

31. I Costi del personale di staffing rappresentano il vero costo
dell’applicazione
Total Cost of Ownership (TCO) è il costo totale di un’applicazione in tutto il suo ciclo di vita.
f
Analisi di settore indicano che il TCO è fondamentalmente composto da costi ricorrenti e non
dal costo di acquisto del software.
Scomposizione del TCO tipico di un’applicazione di BI su 3 Anni
Note: The figure is based on over 300 interviews conducted across numerous platforms, presented in composite form.
Source: IDC Study 2007
Gartner, stima che I clienti spendano più del quadruplo del costo delle licenze di un’applicazione
di Business Intelligence. La componente maggiore del costo maggiore è determinata dai costi
ricorrenti del personale di staffing
IDC, altra società di ricerca, indica che lo staffing pesa per il 60%-85%
del costo del software in un periodo di 3 anni
anni.
- 31 -

32. Un sistema con forte orientamento al Metadato permette la
riduzione del tempo e quindi del costo di sviluppo del reporting.
Esempio su un sistemi di BI con 1,000 Reports:
Nessuna definizione di Parziale definizione di Completa definizione degli
oggetti nei metadati oggetti nei metadati oggetti nei metadati
Creazione Report 1,000 Reports = 1,000 SQL 1,000 Reports = 200 1,000 Reports = 20
Statements Metadata Objects** Metadata Objects**
Riusabilità Nessuna Parziale Totale
Parametrizzazione Nessuna Limitata Completa
Manutenzione •1,000 SQL Statements •200 Objects*** •20 Objects***
•1,000 ore uomo a 1 ora •100 ore uomo a 0.5 ore •10 ore uomo at 0.5 ore per
per report per oggetto oggetto
Assunzioni:
* Cambiamenti minori includono modifiche ai calcoli, livelli di aggregazione, attrubuti,
, gg g , ,
numero di colonne e criteri di filtro
** Report creati attraverso oggetti definiti nei metadati
***Assumento che le modifiche al metadato automaticamente ricadano sui report
p
- 32 -

33. Oggetti Metadato rendono efficiente la Business intelligence
Lingua Italiana Business Intelligence
Libri Applicazioni
rato poggia sul
precedente per crear concetti sempre piùù
a
Paragrafi (Dashboards and Scorecards)
ngua Italian ogni str
Frasi Reports
sticati
(Infinite)
na,
re
sofis
Parole Filtri e Template
(1 Miilione)
e
Com nella lin
Lettere •Attributes •Security Filters
(26) •Metrics •ACLs
•Facts •Custom Groups
me
•Subtotals •Consolidations
•Transformations
- 33 -

34. Un orientamento al metadato stratificato e riutilizzabile
assicura sempre una “Unica versione della realtà”
Browsers Deskto Mobile Office Email
Canali di fruizione p
Alerting and
Advanced Enterprise Dashboards
OLAP Proactive
Analysis Reports and
Analysis Notification
Scorecards
Tipi di analisi
Cambiamenti
p g
Reporting Nel Reporting
Cambiamenti
Astrazione di Business Nel Business
Strutture dati reali Cambiamenti
Fisici
- 34 -

35. GRAZIE!
Luca Giannelli
BI Pre-Sales Manager
Luca.giannelli@twinergy.com
www.twinergy.com
- 35 -