Business Intelligence

Business Intelligence (BI) refers to the set of tools and techniques used in the transformation of raw data into meaningful and actionable information. Business Intelligence touches all areas of the Billing interactions diagram. When thinking of Business Intelligence one needs to think about source data, ETL, operational data store, data warehouse, and reporting.

Business Intelligence

Strong BI leverages various sources of record throughout the ecosystem in order to aggregate key information for various business purposes. Strong considerations must be made when the business requires certain BI data within an environment that leverages cloud providers for key business processes.

In some Monetization Ecosystems, it is crucial to build robust integrations with various applications, develop thorough ETL processes, and time the execution of data processing just right in order to gather the most efficient, accurate, and complete data.

Business Intelligence software can perform trend analysis on internal processes and identify the leading indicators for change within the business environment. For example, if the sales of a particular product are slipping, an actionable alert can be issued to the relevant product manager.

Business Intelligence is about enabling corporate decision makers to navigate the waters of today’s complex business environments. The right tools will eliminate wasteful practices before they become a force of habit that damages the company’s bottom line. Business Intelligence software can perform trend analysis in internal processes and identify leading indicators for changes in the business environment. For example, if the sales of a particular product are slipping, an actionable alert will be issued to the relevant product manager.


Business Intelligence Components

Business Intelligence Monetization Ecosystem domain

Extract | Transform | Load

ETL – Extract, Transform, and Load – is the set of process by which data is extracted from numerous databases, applications and systems, transformed as appropriate, and loaded into target systems like a data warehouse.

More than half of all development work for data warehousing projects is typically dedicated to the design and implementation of ETL processes. Poorly designed ETL processes are costly to maintain, change, and update, so it is critical to identify the right technology and tools that will be used for developing and maintaining the ETL processes up front.

BI UI Ad Hoc Reports

The User Interface of a Business Intelligence system must be accepted and utilized by the users for the BI system to add value to the organization. To increase user acceptance of the BI system it’s crucial to involve key stakeholders from all levels of the organization. Along with a strong user interface, the Business Intelligence system needs to have the ability to create ad hoc reports without having to involve a developer for a stakeholder to run the necessary reports.

Custom Reports

Custom Reporting is a critical part of a good business intelligence solution. While key performance metrics provide a good, high-level view of a company’s health, it’s the ability to dive deeper that identifies and solves issues. Custom reports that give analysts a layered look at the business – segmented and re-segmented – are how an organization’s people, processes, and technology are optimized.

The benefits of harvesting various iterations of a company’s data spans the enterprise – from marketing and sales to operations and finance. All require reporting capabilities that software manufacturers couldn’t possibly anticipate.

The best BI solutions offer an easy-to-use interface for creating, charting, and exporting data not found in the standard list of reports. Less sophisticated offerings and many internally-built frameworks require a direct connection to the database and the ability to pull the data required via an API or SQL query.

Marketing Automation Triggers

The key to successful marketing is relevance, timeliness, and value. The first two, relevance and timeliness, are hardcoded into Marketing Automation (MA) Triggers. Value is up to the organization to align offers to its recipients. Marketing Automation Triggers gives an organization the timeliness it needs by having the system send out targeted emails to customers in advance of their contract renewal date and it does not relay on human interaction to send out those emails.

Data Warehouse

Data Warehouses are often at the heart of the strategic reporting systems used to help manage and control the business. The function of the data warehouse is to consolidate and reconcile information from across disparate business units and IT systems and provide a context for reporting on and analyzing:

• Corporate performance management
• Profitability
• Consolidated financials
• Compliance

Big Data

Big data is a broad term for data sets so large or complex that traditional data processing applications are inadequate. Business Intelligence is the tool that bridges the gap of taking Big Data and turning it into actionable pieces of information.


Detailed: People | Process | Technology

Business Intelligence is a valuable resource to every organization in an enterprise. However, not all are key stakeholders in the construct, customization, or upkeep and security of the data.

In complex service-provider product and selling environments, it’s the teams from Customer Service, Customer Success, and IT that bear the BI weight. Data is a primary driver of the daily activities of these groups, while the Marketing, Finance, and Operations team perform key key BI functions as well.

 

Customer-Service-People-IconCustomer-Success-People-IconIT-People-IconMarketing-People-IconOps-People-IconFinance-People-Icon

Key Vendor Alert
The BI domain is made up of four software categories and are segmented in the Key Vendor section below.

Data Integration Key Vendors

Founded: 1911
HQ: New York, NY
Company Type: Public
Website: www.ibm.com/
Cloud/On-Premise: Cloud

Founded: 1993
HQ: Redwood City, CA
Company Type: Privately held
Website: www.informatica.com/
Cloud/On-Premise: Cloud

Founded: 1977
HQ: Redwood Shores, CA
Company Type: Public
Website: www.oracle.com/
Cloud/On-Premise: Cloud

Founded: 1972
HQ: Waldorf, Germany
Company Type: Public
Website: www.sap.com
Cloud/On-Premise: Cloud

Founded: 1976
HQ: Cary, NC
Company Type: Privately held
Website: www.sas.com
Cloud/On-Premise: Cloud

Founded: 2005
HQ: Redwood Shores, CA
Company Type: Privately held
Website: www.talend.com/
Cloud/On-Premise: Cloud

DW Platform Key Vendors

Founded: 1911
HQ: New York, NY
Company Type: Public
Website: www.ibm.com/
Cloud/On-Premise: Cloud

Founded: 1984
HQ: Dublin, CA
Company Type: Public
Website: www.sap.com/sybase/
Cloud/On-Premise: Cloud

Founded: 1939
HQ: Palo Alto, CA
Company Type: Public
Website: www.hp.com
Cloud/On-Premise: Cloud

Founded: 1979
HQ: Miamisburg, OH
Company Type: Public
Website: www.teradata.com/
Cloud/On-Premise: Cloud

Founded: 2003
HQ: San Mateo, CA
Company Type: Public
Website: www.emc.com
Cloud/On-Premise: Cloud

 

Big Data Overlay Key Vendors

Founded: 1999
HQ: Forest Hills, MD
Company Type: Non-Profit
Website: www.apache.org
Cloud/On-Premise: Cloud

Founded: 1999
HQ: Forest Hills, MD
Company Type: Non-Profit
Website: www.apache.org
Cloud/On-Premise: Cloud

Report Writer/Dashboard Key Vendors

Founded: 2003
HQ: Seattle, WA
Company Type: Public
Website: www.tableau.com
Cloud/On-Premise: Cloud

Founded: 2004
HQ: Orlando, FL
Company Type: Privately held
Website: www.pentaho.com/
Cloud/On-Premise: Cloud

Founded: 1969
HQ: Ottawa, ON, Canada
Company Type: Public
Website: www.cognos.com/
Cloud/On-Premise: Cloud

Founded: 1989
HQ: Tyson Corner, VA
Company Type: Public
Website: www.microstrategy.com
Cloud/On-Premise: Cloud

Founded: 2004
HQ: San Francisco, CA
Company Type: Public
Website: www.jaspersoft.com
Cloud/On-Premise: Cloud

 
 

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