Protel business intelligence

protel Business Intelligence

Facts and figures

Serenissima Informatica

What we can do, for you, together with you to improve your operating results?

Answer every day to this question

Mission

The unique partner for the entire information system

ICT Specialists

Integrated software solutions

Hosting services

Hardware and system integration

Consultancy sw development

Installation and training

Help desk e maintenance

Integrated experiences

Different markets

Dedicated solutions, based on relevant experiences shared with customers of any type and size.

Our main partners

Technological synergies

Integrated systems for the hospitality industry

Hotel Management System

protel

Property Management System

iSelz POS

POS in Cloud for Restaurants

Reservation Assistant Spa & Activity Software

Hotel Back Office for Microsoft Dynamics NAV

protel Business Intelligence References

Multi dimensional dynamic analysis


protel Business Intelligence allows to gather, provide access to, and analyze data and information about the Hotel operations Protel BI is based on a specific data warehouse and OLAP cube whose Measures and Dimensions can be browsed through a web based user interfaces

• have a more comprehensive knowledge of the factors affecting their business

• take better business decisions

Business Intelligence (BI) refers to applications and technologies that can help managers to:

Features


• 300 Measure type available (revenues, room nights, stays, activities, KPIs and so on)

• 200 Dimensions of analysis available (Customer types and details, Reservation variables and details, Marketing segmentations and so on)

Multidimensional analyses models freely definable by the user through more than:

protel modules covered:

• Front Office, including Sales Ledger

• Sales & Marketing, including Master Profiles and Task analyses

• Conference & Banqueting

Features

protel Pickup Business Intelligence

Additional data warehouse and cube built storing everyday the forecast of the hotel (the so called “daily snapshot”) to allow multidimensional analyses on actual forecast figures against past forecast figures

Measures Dimensions

all those that are sales related (Revenues, Room nights)

• Snapshot Calendar (Year, Quarter, Month, Date): allows to analyze the daily forecast in relation to a target period defined through the standard Calendar dimension;

• Days Before Stay: allows to compare the daily forecasts for different target dates (example: Easter date 2009 VS Easter Date 2008)

Dashboard designer

New protel Business Intelligence

General features

• Html 4 + Html5 development based on Sencha Architect HTML5 application framework components

• Usable on any Html compatible device: Microsoft, Chrome PC, iOS, Android

• Https access, no more RDP needed

• User and User Group defined dashboards

• Up to 9 customizable areas per each Dashboard

• “Time-bar” to focus on specific periods

In internal test phase:

• Export of Dashboards as Pdf and send via e-mail

• Scheduled automatic creation of Dashboards

Technical features protel Business Intelligence

protel connector - data warehouse views computing: • automatically after every EOD • or launched manually at any time

Data cube computing: Measures and Dimensions OLAP Server

OLAP engine - SQL 2012 with Analysis Services

protel Database SPE or MPE

protel Server

OLTP engine SQL Server 2012

Standard Data warehouse

Daily Snapshot Data warehouse

FO, S&M, C&B Data cube

Pickup Data cube


OLAP engine - SQL 20012 Analysis Services

OWC web reporting client

Excel reporting client

Standard Data warehouse

Daily Snapshot Data warehouse


Pickup Data cube

Technical features


Technical features



OLAP engine - SQL 2012 Analysis Services

Web based Query configurator Web based Dashboards

Standard Datawarehouse

Daily Snapshot Datawarehouse


Pickup Data cube

Microsoft Excel integration



Pickup Data cube

protel db SPE or MPE

protel SPE / MPE with Business Intelligence

Web based Dashboards Web based Query configurator

MS Excel

Oledb connection and data import

Centralized BI in IDC

MPE BI from protel SPE databases

protel db

Local BI User

Daily incremental extraction after EOD FO, S&M, C&B

Data cube

Pickup Data cube

IDC Local protel SPE / MPE

RDP connection

Https connection

OWC reports


Focusing on specific target date


Trend over a period


Query designer


Dashboard


Examples - TimeSlice


Examples


Thank you!

Protel business intelligence

Software

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