Group items tagged

Integration BI infrastructure: All tools in the platform use the same security, metadata, administration, portal integration, object model and query engine, and should share the same look and feel. Metadata management: Tools should leverage the same metadata, and the tools should provide a robust way to search, capture, store, reuse and publish metadata objects, such as dimensions, hierarchies, measures, performance metrics and report layout objects. Development tools: The platform should provide a set of programmatic and visual tools, coupled with a software developer's kit for creating analytic applications, integrating them into a business process, and/or embedding them in another application. Collaboration: Enables users to share and discuss information and analytic content, and/or to manage hierarchies and metrics via discussion threads, chat and annotations.

Information Delivery Reporting: Provides the ability to create formatted and interactive reports, with or without parameters, with highly scalable distribution and scheduling capabilities. Dashboards: Includes the ability to publish Web-based or mobile reports with intuitive interactive displays that indicate the state of a performance metric compared with a goal or target value. Increasingly, dashboards are used to disseminate real-time data from operational applications, or in conjunction with a complex-event processing engine. Ad hoc query: Enables users to ask their own questions of the data, without relying on IT to create a report. In particular, the tools must have a robust semantic layer to enable users to navigate available data sources. Microsoft Office integration: Sometimes, Microsoft Office (particularly Excel) acts as the reporting or analytics client. In these cases, it is vital that the tool provides integration with Microsoft Office, including support for document and presentation formats, formulas, data "refreshes" and pivot tables. Advanced integration includes cell locking and write-back. Search-based BI: Applies a search index to structured and unstructured data sources and maps them into a classification structure of dimensions and measures that users can easily navigate and explore using a search interface. Mobile BI: Enables organizations to deliver analytic content to mobile devices in a publishing and/or interactive mode, and takes advantage of the mobile client's location awareness.

Analysis Online analytical processing (OLAP): Enables users to analyze data with fast query and calculation performance, enabling a style of analysis known as "slicing and dicing." Users are able to navigate multidimensional drill paths. They also have the ability to write back values to a proprietary database for planning and "what if" modeling purposes. This capability could span a variety of data architectures (such as relational or multidimensional) and storage architectures (such as disk-based or in-memory). Interactive visualization: Gives users the ability to display numerous aspects of the data more efficiently by using interactive pictures and charts, instead of rows and columns. Predictive modeling and data mining: Enables organizations to classify categorical variables, and to estimate continuous variables using mathematical algorithms. Scorecards: These take the metrics displayed in a dashboard a step further by applying them to a strategy map that aligns key performance indicators (KPIs) with a strategic objective. Prescriptive modeling, simulation and optimization: Supports decision making by enabling organizations to select the correct value of a variable based on a set of constraints for deterministic processes, and by modeling outcomes for stochastic processes.

Business intelligence is a data analysis process aimed at boosting business performance by helping corporate executives and other end users make more informed decisions.

Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help corporate executives, business managers and other end users make more informed business decisions.

BI encompasses a variety of tools, applications and methodologies that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, dashboards and data visualizations to make the analytical results available to corporate decision makers as well as operational workers.

Schema on write This is the traditional approach for Business Intelligence. A model, often dimensional, is built as part of the design process. This model is an abstraction of the complexity of the underlying systems, put in business terms. The purpose of the model is to allow the business users to interrogate the data in a way they understand.

The model is instantiated through physical database tables and the date is loaded through an ETL (extract, transform and load) process that takes data from one or more source systems and transforms it to fit the model, then loads it into the model.

The key thing is that the model is determined before the data is finally written and the users are very much guided or driven by the model in how they query the data and what results they can get from the system. The designer must anticipate the queries and requests in advance of the user asking the questions.

1. Project Sponsorship and Governance 2. Project Management 3. Development Team (Core Team) 4. Extended Project Team

1. Project Sponsorship and Governance IT and the business should form a BI steering committee to sponsor and govern design, development, deployment, and ongoing support. It needs both the CIO and a business executive, such as CFO, COO, or a senior VP of marketing/sales to commit budget, time, and resources. The business sponsor needs the project to succeed. The CIO is committed to what is being built and how.

2. Project Management Project management includes managing daily tasks, reporting status, and communicating to the extended project team, steering committee, and affected business users. The project management team needs extensive business knowledge, BI expertise, DW architecture background, and people management, project management, and communications skills. The project management team includes three functions or members: Project development manager - Responsible for deliverables, managing team resources, monitoring tasks, reporting status, and communications. Requires a hands-on IT manager with a background in iterative development. Must understand the changes caused by this approach and the impact on the business, project resources, schedule and the trade-offs. Business advisor - Works within the sponsoring business organization. Responsible for the deliverables of the business resources on the project's extended team. Serves as the business advocate on the project team and the project advocate within the business community. Often, the business advocate is a project co-manager who defers to the IT project manager the daily IT tasks but oversees the budget and business deliverables. BI/DW project advisor - Has enough expertise with architectures and technologies to guides the project team on their use. Ensures that architecture, data models, databases, ETL code, and BI tools are all being used effectively and conform to best practices and standards.

What this means in practice is that when the BI Server component starts up, it creates and reserves a number of threads in advance, determined by a number of parameters including SERVER_THREAD_RANGE.

You can see these threads running and ready to perform tasks for the BI Server component by using a tool such as Process Explorer for Windows

Thinking it through a bit, any given single query is, to a certain extent, only really going to use a small part of the total amount of CPUs available on a server, because it’s not the BI Server that runs queries in parallel, it’s the underlying database. For example, a single analysis against a single Oracle Database datasource would only really need a single BI Server thread to handle the query request, but when the underlying database receives the query, it might use a large number of its CPUs to process the query, returning results back to the BI Server to then pass back to the Presentation Server for display to the user.

memory_limit - Recommended setting: 512M or higher. The memory_limit parameter mainly comes into play when executing large transactions such as mass update, export and import. If this setting is too low when trying to perform one of these actions, the end user will encounter a fatal error and the process will not complete. upload_max_filesize and post_max_size - Recommended setting: 30M or higher. Both of these settings work in conjunction with each other when uploading files through SugarCRM which includes future upgrades as well as document and note attachments. Please note that there is also a setting in the application which can limit file upload file size for end users so the settings in PHP should be high enough to allow any future upgrade files to be loaded without error. max_execution_time = Recommended setting: 300. This setting controls how long a PHP process will remain active. It is important to set this parameter to a value that will allow for large requests to complete if necessary but also will not hamper performance of the server if running too long.

In regards to PHP setup, the following parameters should be set with values as indicated:

Maximum upload size Admin > System Settings 30000000 (~30 MB) The 'Maximum upload size' controls the maximum file size your users can upload into Sugar. This setting should not exceed the post_max_size and upload_max_filesize parameters in your PHP configuration.

The best practice in business intelligence delivery is always to build a data warehouse.

Pure transactional reporting is problematic. There are, of course, the usual performance issues. Equally troublesome is the difficulty in distilling a physical model down to a format that is easy for business users to understand. Dimensional models are typically the way business users envision their business: simple, inclusive structures for each entity. The standard OLTP data model that takes two of the four walls in the conference room to display will never make sense to your average business user.

Step 3: Edit the my.cnf file

Search for the following line:[mysqld] Make sure line skip-networking is commented (or remove line) and add following line:bind-address=YOUR-SERVER-IPSo if your IP is 69.195.199.51 the entire block should look like this:[mysqld] port = 3306 socket = /var/lib/mysql/mysql.sock skip-locking key_buffer_size = 16K max_allowed_packet = 1M table_open_cache = 4 sort_buffer_size = 64K read_buffer_size = 256K read_rnd_buffer_size = 256K net_buffer_length = 2K thread_stack = 128K bind-address = 69.195.199.51 # skip-networking

Step 4: Save & RestartSave your edits by clicking on the Save button and restart MySQL by clicking RestartStep 5: Grant access to remote IP addressGo to the terminal in the control panel and log in (or connect via SSH) and connect to your MySQL database.$ mysql -u root -p mysqlGrant access to a new database If you want to add a new database called foo for user bar and remote IP 69.195.199.100 then you need to type the following commands at mysql> prompt:mysql> CREATE DATABASE foo; mysql> GRANT ALL ON foo.* TO bar@'69.195.199.100' IDENTIFIED BY 'PASSWORD';How Do I Grant Access To An Existing Database? To grant access to an existng database called foo for user bar and remote IP 69.195.199.100 type the following command At mysql> prompt for existing database, enter:mysql> GRANT ALL ON foo.* TO bar@'69.195.199.100' IDENTIFIED BY 'PASSWORD';

mysqldump -h localhost -u [MySQL user, e.g. root] -p[database password] -c --add-drop-table --add-locks --all --quick --lock-tables [name of the database] > sqldump.sql

Extract the Database

Example Here is an example on how to prevent users from access the directory, password-protect a specific file and allow userse to view a specific file: AuthUserFile /your/path/.htpasswd AuthName "Authorization Required" AuthType Basic Order Allow,Deny <Files myfile1.html> Order Allow,Deny require valid-user </Files> <Files myfile2.html> Order Deny,Allow </Files>

OBIEE, at the BI Server level. lets you define query limits that either warn or stop users from exceeding certain elapsed query times or number of rows returned. Assuming you define a “standard” group for most OBIEE users, you might want to stop them from displaying reports (requests) that return more than 50,000 rows, whilst you might want to warn them if their query takes over five minutes to run.

@apexins.sql SYSAUX SYSAUX TEMP /i/

@apxchpwd.sql

Shut down with normal or immediate priority the Oracle Database instances where you plan to install Oracle Application Express.

1. Uninstall BIP desktop from control->Add or remove programs. 2. Open explorer and go to "C:\WINDOWS\assembly". 3. Check if there are assemblies which start with "TB" If present, remove them all. 4. Open the MS Word startup directory and check there are no files there. The directory is normally the following. C:\Documents and Settings\<user name><Application Data\Microsoft\Word\STARTUP5. Open MS Word and check that you don't see the BIP tool bar. -> If you see it, please move Normal.dot to another directory and try again.6. Please check that the OS user you use has an administrator privilege on the PC, this is really important. 7. Please go to Control Panel -> Add or Remove programs and check if the followings have been installed. Shared Add-in Extensibility Update for Microsoft .NET Framework 2.0 (KB908002) Shared Add-in Support Update for Microsoft .NET Framework 2.0 (KB908002) 8. Install BIP Desktop again

STEP #1 – get pgAdmin Install pgAdmin from pgadmin.org STEP #2 – allow postgre server remote connections from everywhere Open etc/postgresql/9.x/main/pg_hba.conf and add following line: host    all             all             all                     md5 STEP #3 – let the postgre server listen to everyone Open etc/postgresql/9.x/main/postgresql.conf and change following line: listen_addresses = ‘*’ STEP #4 – give the user “postgres” a password Start the psql terminal: sudo -u postgres psql Give a password: ALTER USER postgres PASSWORD ‘yourpassword'; Leave the psql terminal: \q STEP #5 Restart postgre server by executing this terminal command: sudo /etc/init.d/postgresql restart STEP #6 Start pgAdmin and add a connection to a server like this: