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Dashboard Application webbased

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Project Description

You will be implementing a web based dashboard application,

a reporting tool that consolidates, aggregates and arranges

measurements, metrics (measurements compared to goals).

The application will be implemented in Perl or PHP with

Mysql as the database.

We will make the collection of the raw data into the tables,

your job is to read that data, parse it and display it into

the dashboard application (the original tables where the data

is colected will not be optimized so you may have to parse

them and generate new tables that are more optimized for

fast web access, this is up to you).

The tables are:

- [url removed, login to view] (id, name, description, status, group_id )

- [url removed, login to view] (id, name): parameters will get separated on

groups and each group will get displayed on a separate tab.

- dashboard.variable_history_mmYY(id, variable_id, value, insert_time)

(where the _mmYY is the curent month, this means you will get

a diffrent table for each month like: variable_history_0108,

variable_history_0208, variable_history_0308 etc.).The dashboard

will have to display data from all those tables in the same report

like the data is stored to just one single table so you will have

to find a solution for this (you can for example make a cronjob

that is parsing the variable_history_* tables and generate your

own optimized tables).

- dashboard.standard_values: id, variable_id, range ,DV, NV, Goal,

DV_direction, NV_direction, Goal_direction.

(for more details about this tables see bellow)

- other new tables: for any other functions from the dashboard you are

free to create any new tables and desigin the structure as you consider

the best.

Each variable will have an id, a name and a number of collected

values. Example variables: "Hits", "Page displays", "Sessions",

"User logins", "Failed login attempts" etc, all are numbers and

we will collect them into the variable_history_* on a regular interval

that can be better 1 and 24 hours. This means some variables will get

collected evey 24 hours, some every 1 hours, or even every 6 hours.

The variable_history_mmYY.insert_time will save the date and time

when that variable is collected, and at some point we may decide that

a variable that was collected every 1 hour to only be colected once

every 24 hours so your scipts must be able to detect this chnange

based on the variable_history_mmYY.insert_time value.

Regarding the standard values from the dashboard.standard_values table

we will save in this table the values that are considered to be dangarous,

normal and goals. The standard values are a combination of a number and

a direction. The direction can take as values 'M' or 'B' where M means more

then the value and B means bollow that value like:

- DV, DV_direction: this is the dangerous values for example for variable

"Page views" we could have DV=100000 and DV_direction=B, this means if the

"Page views" is bellow 100 000 then we have reached the dangerous value, or

another example for variable "Failed login attempts" we could have DV=1000,

and DV_direction=M means if we have more then 1000 failed logins then we

reached the dandgerous value.

- NV, NV_direction: this is the normal value, it's the same as with dangerous

value but its related to what we consider to be normal for that variable.

- Goal, Goal direction: This is the goal we want to reach for that parameter

and it behaves the same as the other two.

- [url removed, login to view]: this field can take as values "DAY", "MONTH", "YEAR",

"GENERALL". This means we will have difrent DV,NV,Goal values for each four time

ranges. So for each parameter we will have 4 rows into the table standard_values

one row for each range. The "DAY" are refering to daily standard values,

"MONTH" is referring to montly values, "YEAR" is year standard values, and

"GENERALL" is refering to all time (all the data we have colected for that

variable until now). One note: for example for comparing if a variable

have reached the GENERALL goal you whould need to open all the variable_history_*

tables that we have and this will take too much resources, you have to find

a solution for making this fast.

The web application will have the following sections:

1) Main Dashboard overview page:

This is the homepage of the application and it will display 2 sections:

- favorites parameters: the dashboard will allow to set some

paramaters as favorites and we will get them displayed on the overview

page. The way the parameter is displayed on the overview page depending

on the settings used when you add the favorites variables.

- the alarms: all the alarms for all paramaters will get displayed on

the overview page (when the parameter is bellow the DV value)

2) Groups pages:

This page will display for each grouup of variables the following:

- the favorites parameters for that group

- the alarms for that group

- all the variables from that group in a table with link to the paremeter

detail pages

3) Parameter details page:

This page will display statistical data for that variable: alexa like charts,

odometers, the table with the last values and for each recorded data and

based on the standard values we have to display the results and this can take

as values: OUT OF CONTROL, DANGEROUS,NORMAL,GOAL REACHED from where:

- below DV = OUT OF CONTROL

- between DV and NV = DANGEROUS

- between NV and GOAL = NORMAL

- over Goal = GOAL REACHED.

Note that the odometers must have those 4 areas on them with diffrent colors,

for each of the results areas.

Under the table will have the form for setting the standard values for that

variable and links to the comparation results pages for that parameter, see

bellow.

4) Settings pages for each group:

This will display a form with all variables in that group, we can update

the standard values for all parameters in that group. Note that standard

values could alos take dynamic values based on other variables, so they can

take as imput formulas and not just a simple value, the formuals could use

other variable values for example: "Page display" goal could be 10% of

"Hits" parameter, for entering the fomulas we need an ajax based formuala

editor, see bellow.

5) Standard values formular editor page(s):

The ajax formula editor may allow selecting parameter values and other

formulas output as variables and the formula will be a diffrent section

into the applicaion: we set the fomula and save it with a title and

text description and then into the standardvalue we will have a small

icon (forumla) for each value and when we click on it a new small popup will

open with all the formulas we have and we can select one. It is your responsbilty

to find the best visual solution for this section.

6) Settings history page:

All values for standard values will get recorded in a history table and we

should be able to restore them at any moment.

This page will display all past values we set for each of the standard

values and it will allow to bring back any of the past values.

7) Comparation rule bassed editor page

This will be a page that will allow us to add/delete/modify comparation

rules for variables at year, montly, weekly, daily and hourly levels.

Here you have an example:

- year => we compare "hits" for 2006 with "hits" for 2007

- montly => we compare "hits" for November 2006 with "hits"

for Novermber 2007

- weekly => we compare "hits" for firts week of Novemeber 2006 with

the firts week of Novemeber 2007.

- daily => we compare all "hits" we get in all Mondays until now

- hourly => we compare the "hits" for day of week hourly, so monday

11:00-12:00 with with others mondays 11:00-12:00.

This comparation is on demand, means by default a variable will have

no comparation rules at all. From the variable details page we will have

a link to this comparation rules editor from where we could add rules

for that variable. Once for exampe we will a montly comparation for

"Hits" variable we will start collecting the comparation data for that

variable means you will need to make some kind of cronjobs that is

executed regulary for processing the data for all the comparations.

We also want to be able to compare diffrent varables like: "login failure

with ad income" or "income ads with user registrations" etc.

It is your responsability to find the best visual interface for this

section (for most of the other pages you will get a prototype).

8) Comparation results display page:

This page will display the comparation results for rules created before,

for each we will display the history data and charts.

9) Dashboard overview configurator:

This will allow us to add/delete favorite variables that will get displayed

into the overview page. From here we alos select what information will get

displayed into the overview page for each parameter (the type of chart).

10) Alerts configuration page:

This will allows us to configure the way we receive alerts from the system.

Alerts can be sent via email or SMS (to send an sms you just have to send

a special formatted email message to our sms prvider).

11) Groups management:

This page will allow to add/delete/update variable groups

12) Waiting variables page:

This page will alow us to add new variables to the system. Note that the data

collecting for those varibales will be made by us so to add a new variable

to the system you only have to add it to the main [url removed, login to view] table

with staust WAITING. For this you use the [url removed, login to view] field and the

purpose if for us to know that we have to collect the values for that new variable.

To add a new variable we must select a group, description, and it must also

allow to select another variable from a diffrent group that will be a base for

that new variable.

You will get a more detailed prototype for the application after you will start

working on the project. Note that for the variable comparation section and the

standard variables formula editor you will have to design the visual interface of

the application yourself. Some pages from the application also have an option to

export data to excel, this will apper into the prototype.

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