Business Intelligence Under Espionage
Business Performance Management
Business Performance Management (BPM) is a set of processes that help organizations optimize business performance. BPM is seen as the next generation of business intelligence (BI). BPM is focused on business processes such as planning and forecasting. It helps businesses discover efficient use of their business units, financial, human and material resources.
BPM involves consolidation of data from various sources, querying and analysis of the data, and putting the results into practice.
BPM enhances processes by creating better feedback loops. Continuous and real-time reviews help to identify and eliminate problems before they grow. BPM's forecasting abilities help the company take corrective action in time to meet earnings projections. Forecasting is characterized by a high degree of predictability which is put into good use to answer what-if scenarios. BPM is useful in risk analysis and predicting outcomes of merger and acquisition scenarios and coming up with a plan to overcome potential problems.
BPM provides Key performance indicators (KPIs) that help companies monitor efficiency of projects and employees against operational targets.
BPM integrates the company's processes with CRM or ERP. Companies become able to gauge customer satisfaction, control customer trends and influence shareholder value.
Companies providing BPM software
Brio Software
Business-Soft
Cartesis
Cognos
Comshare
Hyperion Solutions
Oberon-bwa
SAS Institute Inc.
Outlook Soft
Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.
Business intelligence applications can be:
Mission-critical and integral to an enterprise's operations or occasional to meet a special requirement
Enterprise-wide or local to one division, department, or project
Centrally initiated or driven by user demand
This term was used as early as September, 1996, when a Gartner Group report said:
Information Democracy will emerge in forward-thinking enterprises, with Business Intelligence information and applications available broadly to employees, consultants, customers, suppliers, and the public. The key to thriving in a competitive marketplace is staying ahead of the competition. Making sound business decisions based on accurate and current information takes more than intuition.
Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes.
BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics.
Business intelligence aims to support better business decision-making. Thus a BI system can be called a decision support system (DSS). Though the term business intelligence is sometimes used as a synonym for competitive intelligence, because they both support decision making, BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. Business intelligence understood broadly can include the subset of competitive intelligence.
Plan for Business Intelligence[/b][/b]
Choose a C-level sponsor (who’s not the CIO
Create common definitions
Assess the current situation
Create a plan for data storage
Understand what users need
Decide whether to buy or build the analytical data model
Consider all business intelligence components
Choose a systems integrator
Think “actionable” and “baby steps
Choose low-hanging fruit to start
Types of business intelligence tools
The key general categories of business intelligence tools are:
Spreadsheets
Reporting and querying software: tools that extract, sort, summarize, and present selected data
OLAP: Online analytical processing
Digital Dashboards
Data mining
Decision engineering
Process mining
Business performance management
Local information systems
Business Performance Management
Business Performance Management (BPM) is a set of processes that help organizations optimize business performance. BPM is seen as the next generation of business intelligence (BI). BPM is focused on business processes such as planning and forecasting. It helps businesses discover efficient use of their business units, financial, human and material resources.
BPM involves consolidation of data from various sources, querying and analysis of the data, and putting the results into practice.
BPM enhances processes by creating better feedback loops. Continuous and real-time reviews help to identify and eliminate problems before they grow. BPM's forecasting abilities help the company take corrective action in time to meet earnings projections. Forecasting is characterized by a high degree of predictability which is put into good use to answer what-if scenarios. BPM is useful in risk analysis and predicting outcomes of merger and acquisition scenarios and coming up with a plan to overcome potential problems.
BPM provides Key performance indicators (KPIs) that help companies monitor efficiency of projects and employees against operational targets.
BPM integrates the company's processes with CRM or ERP. Companies become able to gauge customer satisfaction, control customer trends and influence shareholder value.
Companies providing BPM software
Brio Software
Business-Soft
Cartesis
Cognos
Comshare
Hyperion Solutions
Oberon-bwa
SAS Institute Inc.
Outlook Soft
Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.
Business intelligence applications can be:
Mission-critical and integral to an enterprise's operations or occasional to meet a special requirement
Enterprise-wide or local to one division, department, or project
Centrally initiated or driven by user demand
This term was used as early as September, 1996, when a Gartner Group report said:
Information Democracy will emerge in forward-thinking enterprises, with Business Intelligence information and applications available broadly to employees, consultants, customers, suppliers, and the public. The key to thriving in a competitive marketplace is staying ahead of the competition. Making sound business decisions based on accurate and current information takes more than intuition.
Business intelligence (BI) refers to computer-based techniques used in spotting, digging-out, and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes.
BI technologies provide historical, current, and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, business performance management, benchmarking, text mining, and predictive analytics.
Business intelligence aims to support better business decision-making. Thus a BI system can be called a decision support system (DSS). Though the term business intelligence is sometimes used as a synonym for competitive intelligence, because they both support decision making, BI uses technologies, processes, and applications to analyze mostly internal, structured data and business processes while competitive intelligence gathers, analyzes and disseminates information with a topical focus on company competitors. Business intelligence understood broadly can include the subset of competitive intelligence.
Plan for Business Intelligence[/b][/b]
Choose a C-level sponsor (who’s not the CIO
Create common definitions
Assess the current situation
Create a plan for data storage
Understand what users need
Decide whether to buy or build the analytical data model
Consider all business intelligence components
Choose a systems integrator
Think “actionable” and “baby steps
Choose low-hanging fruit to start
Types of business intelligence tools
The key general categories of business intelligence tools are:
Spreadsheets
Reporting and querying software: tools that extract, sort, summarize, and present selected data
OLAP: Online analytical processing
Digital Dashboards
Data mining
Decision engineering
Process mining
Business performance management
Local information systems